Soil quality sequencing method for dam construction soil stock ground of silt dam

Abstract

The invention discloses a silt dam damming soil material field soil quality sorting method. The method comprises the following steps: collecting evaluation index data of a to-be-evaluated soil material field; determining a first weight coefficient and a second weight coefficient of each evaluation index, and calculating a comprehensive weight coefficient by using the first weight coefficient and the second weight coefficient; calculating through the first decision matrix and the comprehensive weight coefficient to obtain a second decision matrix of the evaluation indexes; determining a positive ideal vector and a negative ideal vector through the second decision matrix of each evaluation index; calculating Euclidean distances between each evaluation index and the positive ideal vector and between each evaluation index and the negative ideal vector; and calculating the quality coefficient of the to-be-evaluated soil material field to obtain a quality evaluation result. The invention relates to a silt dam damming soil field soil quality sorting method, which improves the scientificity and reliability of silt dam damming soil field damming soil quality evaluation, accurately evaluates the quality degree of silt dam damming soil quality and the mining sequence of a soil field, and reduces the construction risk caused by the silt dam soil quality problem.

Description

Technical Field

[0001] The invention belongs to the technical field of soil quality evaluation and relates to a method for sorting soil quality in a damming earth material field. Background Art

[0002] Warping dams can intercept silt and rocks in mountain torrents or debris flows, slow down the slope of the upstream ditch bed, and reduce the downstream flow rate and scouring force. They are important green ecological water conservancy and soil and water conservation engineering measures. They are widely used in areas such as the Loess Plateau. Warping dams not only have the function of flood control and sediment retention, but also have the advantages of using local materials and being green and environmentally friendly. They are of great significance to the ecological protection and high-quality development of the Yellow River Basin.

[0003] The reserves, quality and mining planning of the earth material field of the silt dam project are key factors in the progress and cost control of the project. Due to the different spatial distribution of each material field, the physical and mechanical properties and indicators of the soil are also different. The quality of the earth material field of the silt dam has an important impact on the mining planning of the earth material field, especially on the mining sequence and soil material processing methods. The earth materials used in the silt dam project in the Loess Plateau often have certain dispersion, collapsibility and water sensitivity. The dam body filling requires simplicity and speed, which puts forward high requirements on the quality evaluation of the earth material field of the silt dam and the reliability of the mining planning. At present, the quality evaluation of the earth material field of the silt dam mainly refers to the relevant specifications of the roller-compacted earth-rock dam project, and proposes mandatory standards for some physical and mechanical parameters of the soil material. The dispersion index, water sensitivity index and collapsibility index of the soil material are not taken into account, nor is the formation period of the soil layer considered. It is impossible to accurately measure the quality of the soil material field for dam construction and the mining sequence.

[0004] In summary, the existing technology has the problem that the dispersion, water sensitivity and collapsibility indicators are not taken into consideration in the sorting of soil for dam construction. Summary of the invention

[0005] The purpose of the present invention is to provide a method for sorting soil in a damming earth material field, which solves the problem in the prior art that dispersibility, water sensitivity and collapsibility indicators are not taken into consideration in the sorting of damming soil.

[0006] The technical solution adopted by the present invention is a method for sorting soil in a damming earth material field, comprising the following steps: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0007] The present invention is also characterized in that: The evaluation index data include the water sensitivity of soil u1, the optimal moisture content difference u2, the dispersion degree of soil in the material yard u3, the collapsibility of the material yard u4, the formation period of the useful layer of the material yard u5, the permeability coefficient after compaction u6, the clay content u7, and the percentage of exchangeable sodium ions u8.

[0008] The water sensitivity u1 of soil material is the average water sensitivity of the soil material field to be evaluated. The water sensitivity u1 of soil material is a negative indicator and a low-quality indicator. The calculation formula for the average water sensitivity of the soil material field to be evaluated is as follows:

[0009] in, n represents the average water sensitivity of the soil material field to be evaluated, l Indicates the total number of measuring points in the soil material field to be evaluated. k Indicates the first k Measurement points, Indicates the soil material field to be evaluated k The soil thickness at each measuring point, Indicates the soil material field to be evaluated k Water sensitivity of each measuring point; The optimal moisture content difference u2 is the difference between the natural moisture content of the soil material field to be evaluated and the optimal moisture content of the soil material. The optimal moisture content difference u2 is a low-quality indicator and a negative indicator. The dispersion degree u3 of the soil material in the material field is the product of the dispersion degree D of the material field to be evaluated and the processing difficulty coefficient. The dispersion degree u3 of the soil material in the material field is a low-quality index and a negative index. The calculation formula for the dispersion D of the soil material field to be evaluated is as follows:

[0010] in, D represents the dispersion of the soil material field to be evaluated, It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by the unconventional densitometer test; It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by conventional densitometer test; The values ​​of the processing difficulty coefficient of the soil material field to be evaluated are as follows: if the soil material of the soil material field to be evaluated is non-dispersed soil, the processing difficulty coefficient is 1; if the soil material of the soil material field to be evaluated is transitional soil, the processing difficulty coefficient is 1.5; if the soil material of the soil material field to be evaluated is physically dispersed soil, the processing difficulty coefficient is 2.0; if the soil material of the soil material field to be evaluated is chemically dispersed soil, the processing difficulty coefficient is 2.5; if the soil material of the soil material field to be evaluated is physically-chemically dispersed soil, the processing difficulty coefficient is 3.0; The collapsibility u4 of the material field is the collapsibility K of the soil material field to be evaluated, and the collapsibility u4 of the material field is a negative indicator; The calculation formula of the collapsibility K of the soil material field to be evaluated is as follows: K=Δs 1.5 +Δzs, Among them, K represents the collapsibility of the soil material yard to be evaluated, Δs represents the deadweight collapsibility of the soil material yard to be evaluated, and Δzs represents the collapsibility of the soil material yard to be evaluated.

[0011] The useful layer formation period u5 of the material field is the average formation period Q of the useful layer of the soil material field to be evaluated; the useful layer formation period u5 of the material field is a positive indicator; The calculation formula for the average formation period Q of the useful layer of the soil material field to be evaluated is as follows:

[0012] in, is the average formation period of the useful layer of the soil material field to be evaluated, is the total number of measuring points in the soil material field to be evaluated, For the soil material field to be evaluated k The formation period of the useful layer at each measuring point, For the soil material field to be evaluated k The thickness of the useful layer at each measuring point; The first soil material field to be evaluated k The values ​​of the formation period of the useful layer at each measuring point are as follows: k The geological age of the useful layer of the measuring point is the late Holocene, so the value of the formation period of the useful layer of the measuring point is 4.5; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the early Holocene, so the value of the formation period of the useful layer of the measuring point is 4.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the late Pleistocene, so the value of the formation period of the useful layer of the measuring point is 3.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the middle Pleistocene, so the value of the formation period of the useful layer of the measuring point is 2.0; if the geological age of the useful layer of the soil material field to be evaluated isk If the geological age of the useful layer of a measuring point is the early Pleistocene, the value of the formation period of the useful layer of the measuring point is 1.0; The permeability coefficient after compaction u6 is the average permeability coefficient after compaction of the soil material field to be evaluated; the permeability coefficient after compaction u6 is a low-quality index and a negative index; The clay content u7 is the clay content of the soil material field to be evaluated. The clay content u7 is a medium-excellent index, and the medium-excellent value of the clay content u7 is 20%; The exchangeable sodium ion percentage u8 is the exchangeable sodium ion percentage value of the soil material field to be evaluated, and the exchangeable sodium ion percentage u8 is a low-quality index and a negative index; The calculation formula for the exchangeable sodium ion percentage value of the soil material field to be evaluated is as follows:

[0013] in, It indicates the percentage value of exchangeable sodium ions in the soil material field to be evaluated. It indicates the exchangeable sodium ion content of the soil material field to be evaluated. It indicates the cation exchange capacity of the soil material field to be evaluated.

[0014] The experts participating in the expert scoring are persons with the professional title of senior engineer or above in the design of water conservancy projects or water conservation projects. The number of experts participating in the expert scoring meets the following requirements: no less than 3 people for small-scale water conservancy projects, no less than 5 people for medium-sized water conservancy projects, and no less than 7 people for large-scale water conservancy projects; the number of experts participating in the expert scoring who belong to the area of ​​project construction shall not be less than 30% of the total number of experts participating in the scoring; The first weight coefficient of each evaluation index is the average value of the expert scores. The sum of the first weight coefficients of each evaluation index is 100%; the value of the first weight coefficient of each evaluation index is not less than 5% and not more than 20%; when the value of the first weight coefficient of each evaluation index is less than 5% or greater than 20%, an additional expert is added to re-determine the first weight coefficient of each evaluation index; The calculation formula of the comprehensive weight coefficient is as follows: w j =0.5(w j1 +w j2 ), Among them, w j Indicates The comprehensive weight coefficient of the evaluation index, w j1 Indicates The first weight coefficient of the evaluation index, w j2 Indicates The second weight coefficient of the evaluation index.

[0015] The first decision matrix is ​​obtained in the following way: X=(x ij )m×8 , in, X Represents the first decision matrix of the evaluation index, x ij Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates the number of soil material yards to be evaluated; If the evaluation index is a high-quality index, the calculation formula of the first decision value of the evaluation index is as follows:

[0016] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; If the evaluation index is a low-optimal index, the calculation formula for the first decision value of the evaluation index is as follows:

[0017] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Represents the total number of soil material yards to be evaluated.

[0018] The calculation formula for the positive ideal vector is as follows:

[0019] in, represents the positive ideal vector of the evaluation index, It represents the maximum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the maximum value of the second decision value of the second evaluation index in all the soil material sites to be evaluated. It represents the maximum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; The calculation formula for the negative ideal vector is as follows:

[0020] in, represents the negative ideal vector of the evaluation index, It represents the minimum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the minimum value of the second decision value of the second evaluation index in all the soil material fields to be evaluated. It represents the minimum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated.

[0021] The calculation formula of the Euclidean distance between each evaluation index and the positive ideal vector is as follows:

[0022] in, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated, Indicates the first j The maximum value of the second decision values ​​of the evaluation indicators, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; The calculation formula of the Euclidean distance between each evaluation index and the negative ideal vector is as follows:

[0023] in, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates the first j The minimum value of the second decision value of the evaluation index, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; No. The first soil material site to be evaluated The second decision value of the evaluation index is obtained by The comprehensive weight coefficient of the evaluation index is The first soil material site to be evaluated It is obtained by multiplying the first decision values ​​of the evaluation indicators.

[0024] The quality coefficient of the soil material field to be evaluated is positively correlated with the soil quality of the soil material field to be evaluated; The calculation formula of the quality coefficient of the soil material field to be evaluated is as follows: , in, Indicates The quality coefficient of the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated.

[0025] The beneficial effects of the present invention are as follows: the present invention comprehensively considers the dispersibility, water sensitivity, collapsibility and formation period of the soil materials for silt dam construction, avoids the shortcomings of difficult quantification and low accuracy of indicators in the existing silt dam project site selection process, reduces the adverse effects of human subjective decision-making errors, improves the scientificity and reliability of soil quality evaluation for silt dam soil material yards, accurately evaluates the quality of soil for silt dam construction and the mining order of soil material yards, and reduces the construction risks brought about by soil quality problems of silt dams. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural schematic diagram of a soil sorting method for a damming earth material field of a silt dam according to the present invention. DETAILED DESCRIPTION

[0027] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0028] Soil sorting method for earth material field of silt dam construction, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; The evaluation index data include soil water sensitivity u1, optimum moisture content difference u2, soil dispersion degree u3, collapsibility u4, useful layer formation period u5, permeability after compaction u6, clay content u7, exchangeable sodium ion percentage u8; The water sensitivity u1 of soil material is the average water sensitivity of the soil material field to be evaluated. The water sensitivity u1 of soil material is a negative indicator and a low-quality indicator. The calculation formula for the average water sensitivity of the soil material field to be evaluated is as follows:

[0029] in, n represents the average water sensitivity of the soil material field to be evaluated, l Indicates the total number of measuring points in the soil material field to be evaluated. k Indicates the first k Measurement points, Indicates the soil material field to be evaluated k The soil thickness at each measuring point, Indicates the soil material field to be evaluated k Water sensitivity of each measuring point; The optimal moisture content difference u2 is the difference between the natural moisture content of the soil material field to be evaluated and the optimal moisture content of the soil material. The optimal moisture content difference u2 is a low-quality indicator and a negative indicator. The dispersion degree u3 of the soil material in the material field is the product of the dispersion degree D of the material field to be evaluated and the processing difficulty coefficient. The dispersion degree u3 of the soil material in the material field is a low-quality index and a negative index. The calculation formula for the dispersion D of the soil material field to be evaluated is as follows:

[0030] in, D represents the dispersion of the soil material field to be evaluated, It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by the unconventional densitometer test; It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by conventional densitometer test; The values ​​of the processing difficulty coefficient of the soil material field to be evaluated are as follows: if the soil material of the soil material field to be evaluated is non-dispersed soil, the processing difficulty coefficient is 1; if the soil material of the soil material field to be evaluated is transitional soil, the processing difficulty coefficient is 1.5; if the soil material of the soil material field to be evaluated is physically dispersed soil, the processing difficulty coefficient is 2.0; if the soil material of the soil material field to be evaluated is chemically dispersed soil, the processing difficulty coefficient is 2.5; if the soil material of the soil material field to be evaluated is physically-chemically dispersed soil, the processing difficulty coefficient is 3.0; The collapsibility u4 of the material field is the collapsibility K of the soil material field to be evaluated, and the collapsibility u4 of the material field is a negative indicator; The calculation formula of the collapsibility K of the soil material field to be evaluated is as follows: K=Δs 1.5 +Δzs, Among them, K represents the collapsibility of the soil material field to be evaluated, Δs represents the deadweight collapsibility of the soil material field to be evaluated, and Δzs represents the collapsibility of the soil material field to be evaluated; The useful layer formation period u5 of the material field is the average formation period Q of the useful layer of the soil material field to be evaluated; the useful layer formation period u5 of the material field is a positive indicator; The calculation formula for the average formation period Q of the useful layer of the soil material field to be evaluated is as follows:

[0031] in, is the average formation period of the useful layer of the soil material field to be evaluated, is the total number of measuring points in the soil material field to be evaluated, For the soil material field to be evaluated k The formation period of the useful layer at each measuring point, For the soil material field to be evaluated k The thickness of the useful layer at each measuring point; The first soil material field to be evaluated k The values ​​of the formation period of the useful layer at each measuring point are as follows: k The geological age of the useful layer of the measuring point is the late Holocene, so the value of the formation period of the useful layer of the measuring point is 4.5; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the early Holocene, so the value of the formation period of the useful layer of the measuring point is 4.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the late Pleistocene, so the value of the formation period of the useful layer of the measuring point is 3.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the middle Pleistocene, then the value of the formation period of the useful layer of the measuring point is 2.0; if the geological age of the useful layer of the soil material field to be evaluated is kIf the geological age of the useful layer of a measuring point is the early Pleistocene, the value of the formation period of the useful layer of the measuring point is 1.0; The permeability coefficient after compaction u6 is the average permeability coefficient after compaction of the soil material field to be evaluated; the permeability coefficient after compaction u6 is a low-quality index and a negative index; The clay content u7 is the clay content of the soil material field to be evaluated. The clay content u7 is a medium-excellent index, and the medium-excellent value of the clay content u7 is 20%; The exchangeable sodium ion percentage u8 is the exchangeable sodium ion percentage value of the soil material field to be evaluated, and the exchangeable sodium ion percentage u8 is a low-quality index and a negative index; The calculation formula for the exchangeable sodium ion percentage value of the soil material field to be evaluated is as follows:

[0032] in, It indicates the percentage value of exchangeable sodium ions in the soil material field to be evaluated. It indicates the exchangeable sodium ion content of the soil material field to be evaluated. It represents the cation exchange capacity of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; The experts participating in the expert scoring are persons with the professional title of senior engineer or above in the design of water conservancy projects or water conservation projects. The number of experts participating in the expert scoring meets the following requirements: no less than 3 people for small-scale water conservancy projects, no less than 5 people for medium-sized water conservancy projects, and no less than 7 people for large-scale water conservancy projects; the number of experts participating in the expert scoring who belong to the area of ​​project construction shall not be less than 30% of the total number of experts participating in the scoring; The first weight coefficient of each evaluation index is the average value of the expert scores; the sum of the first weight coefficients of each evaluation index is 100%; the value of the first weight coefficient of each evaluation index is not less than 5% and not more than 20%; when the value of the first weight coefficient of each evaluation index is less than 5% or greater than 20%, an additional expert is added to re-determine the first weight coefficient of each evaluation index; The calculation formula of the comprehensive weight coefficient is as follows: w j =0.5(w j1 +w j2 ), Among them, w j Indicates The comprehensive weight coefficient of the evaluation index, w j1 Indicates The first weight coefficient of the evaluation index, w j2Indicates The second weight coefficient of the evaluation index; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; The first decision matrix is ​​obtained in the following way: X=(x ij )m×8 , in, X Represents the first decision matrix of the evaluation index, x ij Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates the number of soil material yards to be evaluated; If the evaluation index is a high-quality index, the calculation formula of the first decision value of the evaluation index is as follows:

[0033] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; If the evaluation index is a low-optimal index, the calculation formula for the first decision value of the evaluation index is as follows:

[0034] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; The calculation formula for the positive ideal vector is as follows:

[0035] in, represents the positive ideal vector of the evaluation index, It represents the maximum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the maximum value of the second decision value of the second evaluation index in all the soil material sites to be evaluated. It represents the maximum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; The calculation formula for the negative ideal vector is as follows:

[0036] in, represents the negative ideal vector of the evaluation index, It represents the minimum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the minimum value of the second decision value of the second evaluation index in all the soil material fields to be evaluated. It represents the minimum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; The calculation formula of the Euclidean distance between each evaluation index and the positive ideal vector is as follows:

[0037] in, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated, Indicates the first j The maximum value of the second decision values ​​of the evaluation indicators, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; The calculation formula of the Euclidean distance between each evaluation index and the negative ideal vector is as follows:

[0038] in, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates the first j The minimum value of the second decision value of the evaluation index, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; No. The first soil material site to be evaluated The second decision value of the evaluation index is obtained by The comprehensive weight coefficient of the evaluation index is The first soil material site to be evaluated The first decision value of each evaluation index is multiplied to obtain; Step 6: Calculate the quality coefficient of the soil material field to be evaluated, and obtain the quality evaluation result after ranking the soil material field to be evaluated; The quality coefficient of the soil material field to be evaluated is positively correlated with the soil quality of the soil material field to be evaluated; the calculation formula of the quality coefficient of the soil material field to be evaluated is as follows: , in, Indicates The quality coefficient of the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated.

[0039] The present invention solves the problem that the existing evaluation of soil quality for silt dam construction does not take into account the dispersibility, water sensitivity and collapsibility indicators, improves the scientificity and reliability of soil quality evaluation for dam construction in silt dam material yards, accurately evaluates the quality and mining sequence of soil quality for silt dam construction, and reduces the construction risks caused by soil quality problems of silt dams.

[0040] Example 1 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0041] Example 2 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; The evaluation index data include soil water sensitivity u1, optimum moisture content difference u2, soil dispersion degree u3, collapsibility u4, useful layer formation period u5, permeability after compaction u6, clay content u7, exchangeable sodium ion percentage u8; The water sensitivity u1 of soil material is the average water sensitivity of the soil material field to be evaluated. The water sensitivity u1 of soil material is a negative indicator and a low-quality indicator. The calculation formula for the average water sensitivity of the soil material field to be evaluated is as follows:

[0042] in, n represents the average water sensitivity of the soil material field to be evaluated, l Indicates the total number of measuring points in the soil material field to be evaluated. k Indicates the first k Measurement points, Indicates the soil material field to be evaluated k The soil thickness at each measuring point, Indicates the soil material field to be evaluated k Water sensitivity of each measuring point; The optimal moisture content difference u2 is the difference between the natural moisture content of the soil material field to be evaluated and the optimal moisture content of the soil material. The optimal moisture content difference u2 is a low-quality indicator and a negative indicator. The dispersion degree u3 of the soil material in the material field is the product of the dispersion degree D of the material field to be evaluated and the processing difficulty coefficient. The dispersion degree u3 of the soil material in the material field is a low-quality index and a negative index. The calculation formula for the dispersion D of the soil material field to be evaluated is as follows:

[0043] in, D represents the dispersion of the soil material field to be evaluated, It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by the unconventional densitometer test; It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by conventional densitometer test; The values ​​of the processing difficulty coefficient of the soil material field to be evaluated are as follows: if the soil material of the soil material field to be evaluated is non-dispersed soil, the processing difficulty coefficient is 1; if the soil material of the soil material field to be evaluated is transitional soil, the processing difficulty coefficient is 1.5; if the soil material of the soil material field to be evaluated is physically dispersed soil, the processing difficulty coefficient is 2.0; if the soil material of the soil material field to be evaluated is chemically dispersed soil, the processing difficulty coefficient is 2.5; if the soil material of the soil material field to be evaluated is physically-chemically dispersed soil, the processing difficulty coefficient is 3.0; The collapsibility u4 of the material field is the collapsibility K of the soil material field to be evaluated, and the collapsibility u4 of the material field is a negative indicator; The calculation formula of the collapsibility K of the soil material field to be evaluated is as follows: K=Δs 1.5 +Δzs, Among them, K represents the collapsibility of the soil material field to be evaluated, Δs represents the deadweight collapsibility of the soil material field to be evaluated, and Δzs represents the collapsibility of the soil material field to be evaluated; The useful layer formation period u5 of the material field is the average formation period Q of the useful layer of the soil material field to be evaluated; the useful layer formation period u5 of the material field is a positive indicator; The calculation formula for the average formation period Q of the useful layer of the soil material field to be evaluated is as follows:

[0044] in, is the average formation period of the useful layer of the soil material field to be evaluated, is the total number of measuring points in the soil material field to be evaluated, For the soil material field to be evaluated k The formation period of the useful layer at each measuring point, For the soil material field to be evaluated k The thickness of the useful layer at each measuring point; The first soil material field to be evaluated k The values ​​of the formation period of the useful layer at each measuring point are as follows: k The geological age of the useful layer of the measuring point is the late Holocene, so the value of the formation period of the useful layer of the measuring point is 4.5; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the early Holocene, so the value of the formation period of the useful layer of the measuring point is 4.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the late Pleistocene, so the value of the formation period of the useful layer of the measuring point is 3.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the middle Pleistocene, then the value of the formation period of the useful layer of the measuring point is 2.0; if the geological age of the useful layer of the soil material field to be evaluated is k If the geological age of the useful layer of a measuring point is the early Pleistocene, the value of the formation period of the useful layer of the measuring point is 1.0; The permeability coefficient after compaction u6 is the average permeability coefficient after compaction of the soil material field to be evaluated; the permeability coefficient after compaction u6 is a low-quality index and a negative index; The clay content u7 is the clay content of the soil material field to be evaluated. The clay content u7 is a medium-excellent index, and the medium-excellent value of the clay content u7 is 20%; The exchangeable sodium ion percentage u8 is the exchangeable sodium ion percentage value of the soil material field to be evaluated, and the exchangeable sodium ion percentage u8 is a low-quality index and a negative index; The calculation formula for the exchangeable sodium ion percentage value of the soil material field to be evaluated is as follows:

[0045] in, It indicates the percentage value of exchangeable sodium ions in the soil material field to be evaluated. It indicates the exchangeable sodium ion content of the soil material field to be evaluated. It represents the cation exchange capacity of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0046] Example 3 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; The experts participating in the expert scoring are persons with the professional title of senior engineer or above in the design of water conservancy projects or water conservation projects. The number of experts participating in the expert scoring meets the following requirements: no less than 3 people for small-scale water conservancy projects, no less than 5 people for medium-sized water conservancy projects, and no less than 7 people for large-scale water conservancy projects; the number of experts participating in the expert scoring who belong to the area of ​​project construction shall not be less than 30% of the total number of experts participating in the scoring; The first weight coefficient of each evaluation index is the average value of the expert scores; the sum of the first weight coefficients of each evaluation index is 100%; the value of the first weight coefficient of each evaluation index is not less than 5% and not more than 20%; when the value of the first weight coefficient of each evaluation index is less than 5% or greater than 20%, an additional expert is added to re-determine the first weight coefficient of each evaluation index; The calculation formula of the comprehensive weight coefficient is as follows: w j =0.5(w j1 +w j2 ), Among them, w j Indicates The comprehensive weight coefficient of the evaluation index, w j1 Indicates The first weight coefficient of the evaluation index, w j2 Indicates The second weight coefficient of the evaluation index; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0047] Example 4 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; The first decision matrix is ​​obtained in the following way: X=(x ij )m×8 , in, X Represents the first decision matrix of the evaluation index, x ij Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates the number of soil material yards to be evaluated; If the evaluation index is a high-quality index, the calculation formula of the first decision value of the evaluation index is as follows:

[0048] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; If the evaluation index is a low-optimal index, the calculation formula for the first decision value of the evaluation index is as follows:

[0049] in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0050] Example 5 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; The calculation formula for the positive ideal vector is as follows:

[0051] in, represents the positive ideal vector of the evaluation index, It represents the maximum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the maximum value of the second decision value of the second evaluation index in all the soil material sites to be evaluated. It represents the maximum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; The calculation formula for the negative ideal vector is as follows:

[0052] in, represents the negative ideal vector of the evaluation index, It represents the minimum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the minimum value of the second decision value of the second evaluation index in all the soil material fields to be evaluated. It represents the minimum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

[0053] Example 6 This embodiment proposes a method for sorting soil quality in a damming soil material field, such as Figure 1 As shown, the following steps are included: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; The calculation formula of the Euclidean distance between each evaluation index and the positive ideal vector is as follows:

[0054] in, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated, Indicates the first j The maximum value of the second decision values ​​of the evaluation indicators, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; The calculation formula of the Euclidean distance between each evaluation index and the negative ideal vector is as follows:

[0055] in, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates the first j The minimum value of the second decision value of the evaluation index, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; No. The first soil material site to be evaluated The second decision value of the evaluation index is obtained by The comprehensive weight coefficient of the evaluation index is The first soil material site to be evaluated The first decision value of each evaluation index is multiplied to obtain; Step 6: Calculate the quality coefficient of the soil material field to be evaluated, and obtain the quality evaluation result after ranking the soil material field to be evaluated; The quality coefficient of the soil material field to be evaluated is positively correlated with the soil quality of the soil material field to be evaluated; the calculation formula of the quality coefficient of the soil material field to be evaluated is as follows: , in, Indicates The quality coefficient of the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated.

[0056] As shown in Table 1, the evaluation index data of the soil material field to be evaluated in the embodiment of the present invention are shown; Table 1 Evaluation index data of the soil material field to be evaluated

[0057] In the embodiment of the present invention, the values ​​of the first weight coefficient are 0.09, 0.13, 0.10, 0.12, 0.15, 0.13, 0.11, and 0.17, respectively, and the values ​​of the second weight coefficient are 0.17, 0.19, 0.07, 0.08, 0.11, 0.17, 0.09, and 0.12, respectively; The second decision values ​​of the evaluation indicators in the embodiment of the present invention are shown in Table 2: Table 2 The second decision value of each evaluation index

[0058] The values ​​of the positive ideal vector and the negative ideal vector in the embodiment of the present invention are shown in Table 3: Table 3 Values ​​of positive ideal vectors and negative ideal vectors

[0059] In the embodiment of the present invention, the Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated, the Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, the quality coefficient of the soil material field to be evaluated, and the quality ranking order of the soil material field to be evaluated are shown in Table 4: Table 4 Ranking results of soil material sites to be evaluated

[0060] According to the quality evaluation results of the soil material yards to be evaluated, the dam construction soil quality of the soil material yard N5 to be evaluated is the best, N6 is the second, and N3 is the worst. When the silt dam project is medium or large, and there is no big difference in transportation distance, the soil material yards N5 and N6 to be evaluated with higher quality evaluation rankings will be mined first.

Claims

1. A method for sorting soil quality in a damming soil material field, characterized in that: The following steps are involved: Step 1: Collect the evaluation index data of the soil material field to be evaluated; Step 2: Determine the first weight coefficient of each evaluation index using expert scoring, calculate the second weight coefficient of each evaluation index using the coefficient of variation method, and calculate the comprehensive weight coefficient using the first weight coefficient and the second weight coefficient; Step 3: Process the evaluation index data of the soil material field to be evaluated by the range normal method to obtain a first decision matrix, and calculate the second decision matrix of the evaluation index through the first decision matrix and the comprehensive weight coefficient; Step 4: Determine the positive ideal vector and the negative ideal vector through the second decision matrix of each evaluation index; Step 5: Calculate the Euclidean distance between each evaluation index and the positive ideal vector and the negative ideal vector; Step 6: Calculate the quality coefficient of the soil material yard to be evaluated, and get the quality evaluation result after ranking the soil material yards by quality.

2. The method for sorting soil quality in a silt dam construction soil material field according to claim 1, characterized in that: The evaluation index data include the water sensitivity of soil u1, the optimal moisture content difference u2, the dispersion degree of soil in the material yard u3, the wetting degree of the material yard u4, the formation period of the useful layer of the material yard u5, the permeability coefficient after compaction u6, the clay content u7, and the percentage of exchangeable sodium ions u8.

3. The method for sorting soil quality in a damming earth material field according to claim 2, characterized in that: The water sensitivity u1 of the soil material is the average water sensitivity of the soil material field to be evaluated, and the water sensitivity u1 of the soil material is a negative indicator and a low-quality indicator; The calculation formula of the average water sensitivity of the soil material field to be evaluated is as follows: in, n represents the average water sensitivity of the soil material field to be evaluated, l Indicates the total number of measuring points in the soil material field to be evaluated. k Indicates the first k Measurement points, Indicates the soil material field to be evaluated k The soil thickness at each measuring point, Indicates the soil material field to be evaluated k Water sensitivity of each measuring point; The optimal moisture content difference u2 is the difference between the natural moisture content of the soil material field to be evaluated and the optimal moisture content of the soil material. The optimal moisture content difference u2 is a low-quality indicator and a negative indicator. The dispersion degree u3 of the soil material in the material field is the product of the dispersion degree D of the soil material field to be evaluated and the processing difficulty coefficient. The dispersion degree u3 of the soil material in the material field is a low-quality index and a negative index; The calculation formula of the dispersion degree D of the soil material field to be evaluated is as follows: in, D represents the dispersion of the soil material field to be evaluated, It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by the unconventional densitometer test; It indicates the content of colloid or clay in the soil material of the soil material field to be evaluated as measured by conventional densitometer test; The values ​​of the processing difficulty coefficient of the soil material field to be evaluated are as follows: if the soil material of the soil material field to be evaluated is non-dispersed soil, the processing difficulty coefficient is 1; if the soil material of the soil material field to be evaluated is transitional soil, the processing difficulty coefficient is 1.5; if the soil material of the soil material field to be evaluated is physically dispersed soil, the processing difficulty coefficient is 2.0; if the soil material of the soil material field to be evaluated is chemically dispersed soil, the processing difficulty coefficient is 2.5; if the soil material of the soil material field to be evaluated is physically-chemically dispersed soil, the processing difficulty coefficient is 3.0; The collapsibility u4 of the material field is the collapsibility K of the soil material field to be evaluated, and the collapsibility u4 of the material field is a negative indicator; The calculation formula of the collapsibility K of the soil material field to be evaluated is as follows: K=Δs 1.5 +Δzs, Among them, K represents the collapsibility of the soil material yard to be evaluated, Δs represents the deadweight collapsibility of the soil material yard to be evaluated, and Δzs represents the collapsibility of the soil material yard to be evaluated.

4. The method for sorting soil quality in a damming earth material field according to claim 3, characterized in that: The useful layer formation period u5 of the material field is the average formation period Q of the useful layer of the soil material field to be evaluated; the useful layer formation period u5 of the material field is a positive indicator; The calculation formula for the average formation period Q of the useful layer of the soil material field to be evaluated is as follows: in, is the average formation period of the useful layer of the soil material field to be evaluated, is the total number of measuring points in the soil material field to be evaluated, For the soil material field to be evaluated k The formation period of the useful layer at each measuring point, For the soil material field to be evaluated k The thickness of the useful layer at each measuring point; The soil material field to be evaluated k The values ​​of the formation period of the useful layer at each measuring point are as follows: k The geological age of the useful layer of the measuring point is the late Holocene, so the value of the formation period of the useful layer of the measuring point is 4.5; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the early Holocene, so the value of the formation period of the useful layer of the measuring point is 4.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the late Pleistocene, so the value of the formation period of the useful layer of the measuring point is 3.0; if the geological age of the useful layer of the soil material field to be evaluated is k The geological age of the useful layer of the measuring point is the middle Pleistocene, then the value of the formation period of the useful layer of the measuring point is 2.0; if the geological age of the useful layer of the soil material field to be evaluated is k If the geological age of the useful layer of a measuring point is the early Pleistocene, the value of the formation period of the useful layer of the measuring point is 1.0; The post-compaction permeability coefficient u6 is the average value of the post-compaction permeability coefficient of the soil material field to be evaluated; the post-compaction permeability coefficient u6 is a low-optimal index and a negative index; The clay content u7 is the clay content of the soil material field to be evaluated, and the clay content u7 is a medium-excellent index, and the medium-excellent value of the clay content u7 is 20%; The exchangeable sodium ion percentage u8 is the exchangeable sodium ion percentage value of the soil material field to be evaluated, and the exchangeable sodium ion percentage u8 is a low-quality index and a negative index; The calculation formula of the exchangeable sodium ion percentage value of the soil material field to be evaluated is as follows: in, It indicates the percentage value of exchangeable sodium ions in the soil material field to be evaluated. It indicates the exchangeable sodium ion content of the soil material field to be evaluated. It indicates the cation exchange capacity of the soil material field to be evaluated.

5. The method for sorting soil quality in a damming earth material field according to claim 1, characterized in that: The experts participating in the expert scoring are persons with the professional title of senior engineer or above in the design of water conservancy projects or water conservation projects. The number of experts participating in the expert scoring meets the following requirements: no less than 3 for small-scale water conservancy projects, no less than 5 for medium-sized water conservancy projects, and no less than 7 for large-scale water conservancy projects; the number of experts participating in the expert scoring who belong to the area of ​​project construction shall not be less than 30% of the total number of experts participating in the scoring; The first weight coefficient of each evaluation index is the average value of the expert scores; the sum of the first weight coefficients of each evaluation index is 100%; the value of the first weight coefficient of each evaluation index is not less than 5% and not more than 20%; when the value of the first weight coefficient of each evaluation index is less than 5% or greater than 20%, an additional expert is added to re-determine the first weight coefficient of each evaluation index; The calculation formula of the comprehensive weight coefficient is as follows: In j =0.5(in j1 +in j2 ), Among them, w j Indicates The comprehensive weight coefficient of the evaluation index, w j1 Indicates The first weight coefficient of the evaluation index, w j2 Indicates The second weight coefficient of the evaluation index.

6. The method for sorting soil quality in a damming earth material field according to claim 1, characterized in that: The first decision matrix is ​​obtained in the following way: X=(x ij )m×8 ， in, X Represents the first decision matrix of the evaluation index, x ij Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates the number of soil material yards to be evaluated; If the evaluation index is a high-quality index, the calculation formula of the first decision value of the evaluation index is as follows: in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Indicates the total number of soil material yards to be evaluated; If the evaluation index is a low-optimal index, the calculation formula for the first decision value of the evaluation index is as follows: in, Indicates The first soil material site to be evaluated The first decision value of the evaluation index, Indicates The first soil material site to be evaluated The basic value of the evaluation index, Indicates the first The minimum value among the basic values ​​of the evaluation indicators, Indicates the first The maximum value among the basic values ​​of the evaluation indicators, Indicates There are soil material sites to be evaluated. Indicates evaluation indicators, Represents the total number of soil material yards to be evaluated.

7. The method for sorting soil quality in a damming earth material field according to claim 1, characterized in that: The calculation formula of the positive ideal vector is as follows: in, represents the positive ideal vector of the evaluation index, It represents the maximum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the maximum value of the second decision value of the second evaluation index in all the soil material sites to be evaluated. It represents the maximum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated; The calculation formula of the negative ideal vector is as follows: in, represents the negative ideal vector of the evaluation index, It represents the minimum value of the second decision value of the first evaluation index in all the soil material sites to be evaluated. It represents the minimum value of the second decision value of the second evaluation index in all the soil material fields to be evaluated. It represents the minimum value among the second decision values ​​of the eighth evaluation index in all the soil material sites to be evaluated.

8. The method for sorting soil quality in a damming earth material field according to claim 1, characterized in that: The calculation formula of the Euclidean distance between each evaluation index and the positive ideal vector is as follows: in, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated, Indicates the first j The maximum value of the second decision values ​​of the evaluation indicators, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; The calculation formula of the Euclidean distance between each evaluation index and the negative ideal vector is as follows: in, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates the first j The minimum value of the second decision value of the evaluation index, Indicates The first soil material site to be evaluated The second decision value of the evaluation index, i Indicates i There are soil material sites to be evaluated. j Indicates the first j evaluation indicators, m It indicates the total number of evaluation indicators in the soil material field to be evaluated; The said The first soil material site to be evaluated The second decision value of the evaluation index is obtained by The comprehensive weight coefficient of the evaluation index is The first soil material site to be evaluated It is obtained by multiplying the first decision values ​​of the evaluation indicators.

9. The method for sorting soil quality in a damming earth material field according to claim 1, characterized in that: The quality coefficient of the soil material field to be evaluated is positively correlated with the soil quality of the soil material field to be evaluated; The calculation formula of the quality coefficient of the soil material field to be evaluated is as follows: ， in, Indicates The quality coefficient of the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the negative ideal vector in the soil material field to be evaluated, Indicates i The Euclidean distance between each evaluation index and the positive ideal vector in the soil material field to be evaluated.

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