A method for controlling soil and water loss in a wind and water composite erosion area

Abstract

The invention discloses a method for controlling soil and water loss in a wind-water composite erosion area, comprising the following steps: randomly selecting a data collection reference point in a historical control area to collect soil samples; detecting soil data of different soil layers on the soil samples, including soil viscosity, humidity and organic matter content; selecting plant samples, calculating the solid coefficient of the plant samples, and screening the optimal soil-fixing plants; fitting a relationship model; collecting control soil samples in a target control area of ​​the wind-water composite erosion area, calculating the flatness, and then calculating the soil and water loss coefficient u; setting a threshold value u of the soil and water loss coefficient 阈值 ; Set the planting density and the optimal soil-fixing plant type in the target treatment area. The present invention considers the solid effects of different plants on the target treatment area from many aspects to ensure the optimal soil and water loss treatment effect.

Description

Technical Field

[0001] The invention relates to the field of soil and water loss control, and in particular to a method for controlling soil and water loss in a wind and water composite erosion area. Background Art

[0002] The wind-water compound erosion zone is a common erosion process in arid and semi-arid areas caused by the interaction of wind and water. The joint or alternating action of wind and water on the same erosion object (area) shapes the unique erosion phenomenon in the interlaced zone of wind erosion and water erosion. With more and more research on the wind-water compound erosion zone, the management of the wind-water compound erosion zone has also begun. Studies have found that the soil-fixing ability of plants themselves can be used to effectively deal with the problem of soil and water loss in the wind-water compound erosion zone. However, most of the existing management methods are relatively scattered, and the selection of plants and management methods in each management area are relatively simple. There is a lack of evaluation and research on the management effect, which leads to the slow development of soil and water loss management in the wind-water compound erosion zone. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method for controlling soil and water loss in a wind-water composite erosion area to solve the above-mentioned defects in the prior art.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A method for controlling soil and water loss in a wind-water composite erosion area is provided, which comprises the following steps:

[0006] S1: Randomly select a data collection reference point in the historical governance area, evenly select a number of data collection points around the data collection reference point, and collect soil samples of a set depth at the data collection point;

[0007] S2: Detect soil data of different soil layers on the soil sample, including soil viscosity, moisture and organic matter content, and calculate the average soil viscosity of soil samples around the data collection reference point humidity and organic matter content

[0008] S3: Select a nearest plant at each data collection point as a plant sample, and collect the plant sample by directly pulling out the plant, calculate the solid coefficient of the plant sample, and select the best soil-fixing plant around the data collection reference point;

[0009] S4: Establish a relationship model between soil solidification coefficient and soil viscosity, moisture, and organic matter content, and fit the relationship model;

[0010] S5: Collect soil samples in the target treatment area of ​​the wind-water composite erosion zone, calculate the flatness of the soil layer in the target treatment area according to the depth of the soil layer on each treatment soil sample, substitute the soil viscosity, moisture and organic matter content of the treatment soil sample into the fitted relationship model, and obtain the soil solidification coefficient of the target treatment area; then calculate the soil and water loss coefficient u;

[0011] S6: Set the threshold u of soil erosion coefficient 阈值 ;

[0012] If u≥u 阈值 , then the best soil-fixing plants are planted in the target control area according to the planting density ρ to control the soil and water loss in the wind-water composite erosion area;

[0013] If u 阈值 , then increase the planting density to ρ+Δρ, so that u≥u 阈值 , in the target control area, the optimal soil-fixing plants are planted according to the planting density ρ+Δρ to control the soil and water loss in the wind and water composite erosion area, and Δρ is the increased planting density.

[0014] Furthermore, step S2 specifically includes:

[0015] Detect soil data of different soil layers on the soil sample, including soil viscosity, moisture and organic matter content, and calculate the average soil viscosity of soil samples around the data collection reference point humidity and organic matter content

[0016]

[0017] Where M is the number of data collection points, m is the number of soil layers in the soil sample, The mth 1 Soil viscosity of the soil layer, m 1 is the number of the soil layer in the soil sample, The mth 1 Soil moisture of each soil layer, The mth 1 Soil organic matter content of the soil layer, M 2 Number the data collection points around the data collection reference point.

[0018] Furthermore, step S3 specifically includes:

[0019] S31: Select a plant closest to each data collection point as a plant sample, and collect plant samples by directly pulling out the plant, measure the root length L, distribution radius r and soil weight t retained in the root system, and calculate the soil fixation coefficient g of each plant sample e :​

[0020] ge=exp( L +r+t);

[0021] S32: Calculate the soil solidity coefficient (g 1 ,g 2 ,…,g e ) and then screen the soil solidification coefficient (g 1 ,g 2 ,…,g e ) in the maximum value g max , maximum value g max The corresponding plant samples are used as the optimal soil-fixing plants around the data collection reference point, and e is the number of plant samples.

[0022] Furthermore, step S4 specifically includes:

[0023] S41: Establish the relationship model between soil solidification coefficient and soil viscosity n, moisture s, and organic matter content y;

[0024] g=k 1 n+k 2 s+k 3 y;

[0025] Among them, k 1 ,k 2 ,k 3 are the relationship coefficients corresponding to soil viscosity, moisture, and organic matter content;

[0026] S42: The maximum value g max The average soil viscosity corresponding to the data collection reference point humidity and organic matter content Substituting them into the relationship model respectively, selecting at least three data collection reference points in the historical governance area, the relationship coefficient k can be fitted. 1 ,k 2 ,k 3 , and the fitted relationship model is obtained.

[0027] Furthermore, step S5 specifically includes:

[0028] S51: Evenly select κ governance reference points in the target governance area of ​​the Fengshui composite erosion area, and collect governance soil samples at the governance reference points. Taking the highest point of the governance reference points as the benchmark, measure the depth of the soil layers from the surface soil layer to the highest point in the governance soil samples, and obtain the soil layer depth data set:

[0029]

[0030] in, is the depth of the λth soil layer of the treated soil sample at the κth treatment reference point, and λ is the number of soil layers in the treated soil sample;

[0031] S52: Calculate the flatness p of the soil layer in the target treatment area using the soil layer depth data group:

[0032]

[0033] in, is the depth value of the i-th soil layer of the treatment soil sample at the treatment reference point, i is the number of the soil layer in the treatment soil sample, I is the number of the treatment reference point, is the theoretical depth of the treated soil layer;

[0034] S53: using the method of step S2, calculating the average soil viscosity n′, moisture s′ and organic matter content y′ of the treated soil samples at κ treatment reference points, substituting the average soil viscosity n′, moisture s′ and organic matter content y′ into the fitted relationship model, and calculating the soil solidification coefficient g′ of the target treatment area;

[0035] S54: Match the optimal soil-fixing plants around the reference point in the historical management area according to the soil-fixing coefficient g′, so that the soil-fixing coefficient g corresponding to the optimal soil-fixing plant max The difference between the soil fixation coefficient g′ is the smallest, and the optimal planting density ρ of the soil fixation plants in the historical management area is obtained;

[0036] S55: Calculate the water and soil loss coefficient u under the current planting density ρ:

[0037] u=g max -μ 1 ·exp p +μ 2 ·exp ρ ;

[0038] Among them, μ 1 is the weight coefficient related to soil flatness and soil erosion, μ 2 It is the weight coefficient related to plant planting density and soil and water loss.

[0039] The beneficial effects of the present invention are as follows: the present invention is used to study the control of soil and water loss in wind and water composite erosion areas. By studying the control effects in historical control areas, plants with the best soil consolidation effect are screened out, and plant species suitable for the target control area are matched. The planting density is set, and the control effect of the plant on the target control area is evaluated based on the calculated soil and water loss coefficient. The solid effects of different plants on the target control area are considered from multiple aspects to ensure that the optimal soil and water loss control effect is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of the soil and water loss control method in Fengshui composite erosion areas. DETAILED DESCRIPTION

[0041] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0042] like Figure 1 As shown, a method for controlling soil and water loss in a wind-water composite erosion area comprises the following steps:

[0043] S1: Randomly select a data collection reference point in the historical governance area, evenly select a number of data collection points around the data collection reference point, and collect soil samples of a set depth at the data collection point;

[0044] S2: Detect soil data of different soil layers on the soil sample, including soil viscosity, moisture and organic matter content, and calculate the average soil viscosity of soil samples around the data collection reference point humidity and organic matter content

[0045]

[0046] Where M is the number of data collection points, m is the number of soil layers in the soil sample, The mth 1 Soil viscosity of the soil layer, m 1 is the number of the soil layer in the soil sample, The mth 1 Soil moisture of each soil layer, The mth 1 Soil organic matter content of the soil layer, M 2 Number the data collection points around the data collection reference point.

[0047] The higher the soil viscosity, the less likely it is to cause soil erosion; the greater the humidity, the more conducive it is to plant growth; the less erosion caused by wind and sand; and the high organic matter content is also conducive to the growth of soil-fixing plants.

[0048] S3: Select a nearest plant at each data collection point as a plant sample, and collect the plant sample by directly pulling out the plant, calculate the solid coefficient of the plant sample, and select the best soil-fixing plant around the data collection reference point; Step S3 specifically includes:

[0049] S31: Select a plant closest to each data collection point as a plant sample, and collect plant samples by directly pulling out the plant, measure the root length L, distribution radius r and soil weight t retained in the root system, and calculate the soil fixation coefficient g of each plant sample e :

[0050] ge=exp( L +r+t);

[0051] The soil-fixing effect of the plant is expressed by the soil-fixing coefficient. The longer the root system of the plant sample and the wider the distribution radius, the more luxuriant the plant growth, the better the soil-fixing effect, and the better the effect of resisting soil erosion and wind and water combined erosion.

[0052] S32: Calculate the soil solidity coefficient (g 1 ,g 2 ,…,g e ) and then screen the soil solidification coefficient (g 1 ,g 2 ,…,g e ) in the maximum value g max , maximum value g max The corresponding plant samples are used as the optimal soil-fixing plants around the data collection reference point, and e is the number of plant samples.

[0053] S4: Establishing a relationship model between soil solidification coefficient and soil viscosity, moisture, and organic matter content, and fitting the relationship model; Step S4 specifically includes:

[0054] S41: Establish the relationship model between soil solidification coefficient and soil viscosity n, moisture s, and organic matter content y;

[0055] g=k 1 n+k 2 s+k 3 y;

[0056] Among them, k 1 ,k 2 ,k 3 are the relationship coefficients corresponding to soil viscosity, moisture, and organic matter content;

[0057] S42: The maximum value g max The average soil viscosity corresponding to the data collection reference point humidity and organic matter content Substituting them into the relationship model respectively, selecting at least three data collection reference points in the historical governance area, the relationship coefficient k can be fitted. 1 ,k 2 ,k3 , and the fitted relationship model is obtained.

[0058] S5: collecting soil samples for treatment in the target treatment area of ​​the wind and water composite erosion zone, calculating the flatness of the soil layer in the target treatment area according to the depth of the soil layer on each treatment soil sample, substituting the soil viscosity, moisture and organic matter content of the treatment soil sample into the fitted relationship model, and obtaining the soil solidification coefficient of the target treatment area; and then calculating the soil and water loss coefficient u; Step S5 specifically includes:

[0059] S51: Evenly select κ governance reference points in the target governance area of ​​the Fengshui composite erosion area, and collect governance soil samples at the governance reference points. Taking the highest point of the governance reference points as the benchmark, measure the depth of the soil layers from the surface soil layer to the highest point in the governance soil samples, and obtain the soil layer depth data set:

[0060]

[0061] in, is the depth of the λth soil layer of the treated soil sample at the κth treatment reference point, and λ is the number of soil layers in the treated soil sample;

[0062] S52: Calculate the flatness p of the soil layer in the target treatment area using the soil layer depth data group:

[0063]

[0064] in, is the depth value of the i-th soil layer of the treatment soil sample at the treatment reference point, i is the number of the soil layer in the treatment soil sample, I is the number of the treatment reference point, It is the theoretical depth value of the treated soil layer; the flatness of the soil layer represents the flatness of the land in the target treatment area. The flatter the land is, the more conducive it is to plant growth and the more it can resist the combined erosion of Feng Shui. The uneven the land is, the easier it is to be eroded by Feng Shui.

[0065] S53: using the method of step S2, calculating the average soil viscosity n′, moisture s′ and organic matter content y′ of the treated soil samples at κ treatment reference points, substituting the average soil viscosity n′, moisture s′ and organic matter content y′ into the fitted relationship model, and calculating the soil solidification coefficient g′ of the target treatment area;

[0066] S54: Match the optimal soil-fixing plants around the reference point in the historical management area according to the soil-fixing coefficient g′, so that the soil-fixing coefficient g corresponding to the optimal soil-fixing plant max The difference between the soil fixation coefficient g′ is the smallest, and the optimal planting density ρ of the soil fixation plants in the historical management area is obtained;

[0067] S55: Calculate the water and soil loss coefficient u under the current planting density ρ:

[0068] u=g max -μ 1 ·exp p +μ 2 ·exp ρ ;

[0069] Among them, μ 1 is the weight coefficient related to soil flatness and soil erosion, μ 2 It is the weight coefficient related to plant planting density and soil and water loss.

[0070] S6: Set the threshold u of soil erosion coefficient 阈值 ;

[0071] If u≥u 阈值 , then the best soil-fixing plants are planted in the target control area according to the planting density ρ to control the soil and water loss in the wind-water composite erosion area;

[0072] If u 阈值 , then increase the planting density to ρ+Δρ, so that u≥u 阈值 , in the target control area, the optimal soil-fixing plants are planted according to the planting density ρ+Δρ to control the soil and water loss in the wind and water composite erosion area, and Δρ is the increased planting density.

[0073] The present invention is used to study the control of soil and water loss in wind and water composite erosion areas. By studying the control effects in historical control areas, plants with the best soil consolidation effect are screened out, and plant types suitable for the target control area are matched. The planting density is set, and the control effect of the plant on the target control area is evaluated based on the calculated soil and water loss coefficient. The solid effects of different plants on the target control area are considered from multiple aspects to ensure that the optimal soil and water loss control effect is achieved.​

Claims

1. A method for controlling soil and water loss in a wind and water composite erosion area, characterized in that: The following steps are involved: S1: Randomly select a data collection reference point in the historical governance area, evenly select a number of data collection points around the data collection reference point, and collect soil samples of a set depth at the data collection point; S2: Detect soil data of different soil layers on the soil sample, including soil viscosity, moisture and organic matter content, and calculate the average soil viscosity of soil samples around the data collection reference point humidity and organic matter content S3: Select a nearest plant at each data collection point as a plant sample, and collect the plant sample by directly pulling out the plant, calculate the solid coefficient of the plant sample, and select the best soil-fixing plant around the data collection reference point; S4: Establish a relationship model between soil solidification coefficient and soil viscosity, moisture, and organic matter content, and fit the relationship model; S5: Collect soil samples in the target treatment area of ​​the wind-water composite erosion zone, calculate the flatness of the soil layer in the target treatment area according to the depth of the soil layer on each treatment soil sample, substitute the soil viscosity, moisture and organic matter content of the treatment soil sample into the fitted relationship model, and obtain the soil solidification coefficient of the target treatment area; then calculate the soil and water loss coefficient u; S6: Set the threshold u of soil erosion coefficient 阈值 ; If u≥u 阈值 , then the best soil-fixing plants are planted in the target control area according to the planting density ρ to control the soil and water loss in the wind-water composite erosion area; If u 阈值 , then increase the planting density to ρ+Δρ, so that u≥u 阈值 , in the target control area, the optimal soil-fixing plants are planted according to the planting density ρ+Δρ to control the soil and water loss in the wind and water composite erosion area, where Δρ is the increased planting density;​ The step S3 specifically includes: S31: Select a plant closest to each data collection point as a plant sample, and collect plant samples by directly pulling out the plant, measure the root length L, distribution radius r and soil weight t retained in the root system, and calculate the soil fixation coefficient g of each plant sample e : g e =exp (L+r+t) ; S32: Calculate the soil solidification coefficients (g1, g2, ..., g e ) and then select the soil solidification coefficients (g1, g2, …, g e ) in the maximum value g max , maximum value g max The corresponding plant samples are used as the optimal soil-fixing plants around the data collection reference point, and e is the number of plant samples; The step S5 specifically includes: S51: Evenly select κ governance reference points in the target governance area of ​​the Fengshui composite erosion area, and collect governance soil samples at the governance reference points. Taking the highest point of the governance reference points as the benchmark, measure the depth of the soil layers from the surface soil layer to the highest point in the governance soil samples, and obtain the soil layer depth data set: in, is the depth of the λth soil layer of the treated soil sample at the κth treatment reference point, and λ is the number of soil layers in the treated soil sample; S52: Calculate the flatness p of the soil layer in the target treatment area using the soil layer depth data group: in, is the depth value of the i-th soil layer of the treatment soil sample at the treatment reference point, i is the number of the soil layer in the treatment soil sample, I is the number of the treatment reference point, is the theoretical depth of the treated soil layer; S53: using the method of step S2, calculating the average soil viscosity n′, moisture s′ and organic matter content y′ of the treated soil samples at κ treatment reference points, substituting the average soil viscosity n′, moisture s′ and organic matter content y′ into the fitted relationship model, and calculating the soil solidification coefficient g′ of the target treatment area; S54: Match the optimal soil-fixing plants around the reference point in the historical management area according to the soil-fixing coefficient g′, so that the soil-fixing coefficient g corresponding to the optimal soil-fixing plant max The difference between the soil fixation coefficient g′ is the smallest, and the optimal planting density ρ of the soil fixation plants in the historical management area is obtained; S55: Calculate the water and soil loss coefficient u under the current planting density ρ: u=g max -μ1·exp p +μ2·exp ρ ; Among them, μ1 is the weight coefficient related to the flatness of the soil layer and soil erosion, and μ2 is the weight coefficient related to the plant planting density and soil erosion.

2. The method for controlling soil and water loss in a wind-water combined erosion area according to claim 1, characterized in that: The step S2 specifically includes: Detect soil data of different soil layers on the soil sample, including soil viscosity, moisture and organic matter content, and calculate the average soil viscosity of soil samples around the data collection reference point humidity and organic matter content Where M is the number of data collection points, m is the number of soil layers in the soil sample, is the soil viscosity of the m1th soil layer in the soil sample, m1 is the number of the soil layer in the soil sample, is the soil moisture of the m1th soil layer in the soil sample, is the soil organic matter content of the m1th soil layer in the soil sample, and M2 is the data collection point number around the data collection reference point.

3. The method for controlling soil and water loss in a wind-water combined erosion area according to claim 1, characterized in that: The step S4 specifically includes: S41: Establish the relationship model between soil solidification coefficient and soil viscosity n, moisture s, and organic matter content y; g = k1n + k2s + k3y; Among them, k1, k2, and k3 are the relationship coefficients corresponding to soil viscosity, moisture, and organic matter content, respectively; S42: The maximum value g max The average soil viscosity corresponding to the data collection reference point humidity and organic matter content By substituting them into the relationship model respectively, selecting at least three data collection reference points in the historical governance area, the relationship coefficients k1, k2, and k3 can be fitted to obtain the fitted relationship model.

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