Method for evaluating water and soil loss risk of production construction project based on quantitative index operation

Abstract

The application discloses a production construction project water and soil loss risk evaluation method based on quantitative index operation, comprising the following steps: constructing a production construction project water and soil loss risk evaluation model, wherein the water and soil loss risk evaluation model comprises a basic layer, a risk layer and a benefit layer; determining quantitative indexes of the basic layer, the risk layer and the benefit layer and weight and rating parameters of the quantitative indexes according to a basic scale of the production construction project, field risk characteristics and water and soil conservation measure benefit conditions; collecting quantitative index data of the production construction project, inputting the water and soil loss risk evaluation model, calculating basic layer, risk layer and benefit layer scores, grading the scores according to grading standards to obtain basic layer grading and benefit layer grading; calculating a total score of the production construction project according to corresponding weight of the basic layer grading and the benefit layer grading and the risk layer score, grading the total score according to the grading standards, and determining a water and soil loss risk grade of the production construction project, and the method is efficient, quick and feasible.

Description

Technical Field

[0001] This invention belongs to the field of soil and water conservation technology, specifically, it relates to a method for assessing the risk of soil erosion in production and construction projects. Background Technology

[0002] Soil erosion not only causes the loss of precious soil resources, leading to decreased soil fertility and depletion of land productivity, but also results in siltation of rivers and lakes, weakening flood diversion capacity, exacerbating flood disasters, and making water pollution more likely, thus affecting the ecological balance. Due to its harmfulness and long-term effects, soil erosion has become a prominent global ecological and environmental problem. With the development of my country's economy and society, actively carrying out comprehensive prevention and control of soil erosion and strengthening the supervision and inspection of soil and water conservation are responsibilities entrusted to relevant water resources departments by law, and also practical requirements for achieving a better life.

[0003] With rapid urban development and increasingly frequent construction activities, the resulting groundbreaking and illegal dumping of soil inevitably lead to new forms of anthropogenic soil erosion. Furthermore, because these activities drastically alter existing vegetation and stable topography, they impact the dynamics of soil erosion and its resistance systems, often resulting in severe soil erosion incidents. Soil erosion from construction projects is a significant component of soil erosion in highly urbanized areas. Therefore, assessing the risks of soil erosion from construction projects is crucial for effectively improving the targeting of soil and water conservation supervision and inspection, and for preventing serious soil erosion incidents.

[0004] Every year, relevant water resources administrative departments organize water and soil conservation supervision and inspection of production and construction projects in accordance with the law. The current evaluation standard is the "Implementation Status of Water and Soil Conservation Responsibility System for Production and Construction Projects," which mainly evaluates four aspects: the completeness of the existing water and soil conservation measures system, the completeness of the project's water and soil conservation management mechanism, the implementation of subsequent water and soil conservation design, monitoring, and acceptance, and the analysis of potential water and soil erosion risks. In practice, due to the complexity of the evaluation standard system, the low correlation between relevant indicators and actual water and soil erosion risks, and the indicators being too subjective and lacking quantitative relationships, it is difficult to quickly and effectively obtain the water and soil erosion risk status of production and construction projects.

[0005] Therefore, in order to quickly identify areas with a high probability of soil erosion and avoid serious soil erosion incidents, it is necessary to provide an efficient and quantitative method for assessing the risk of soil erosion in production and construction projects. This is a topic with practical application value for improving the efficiency of soil and water conservation supervision and inspection. Summary of the Invention

[0006] The purpose of this invention is to improve the shortcomings and deficiencies of the existing evaluation system and provide a method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculation. The evaluation method has the advantages of being simple and easy to operate and being able to quickly and automatically obtain evaluation results.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] A method for assessing soil and water loss risk in production and construction projects based on quantitative index calculations includes the following steps:

[0009] Construct a soil and water loss risk assessment model for production and construction projects. The soil and water loss risk assessment model includes a basic layer, a risk layer, and a benefit layer.

[0010] Based on the basic scale of the production and construction project, the on-site risk characteristics, and the effectiveness of soil and water conservation measures, determine the quantitative indicators for the basic layer, risk layer, and benefit layer, as well as the weights and calibration parameters of the quantitative indicators;

[0011] Collect quantitative indicator data of production and construction projects, input them into the soil and water loss risk assessment model, calculate the scores of the basic layer, risk layer and benefit layer, classify the scores according to the grading standards, and obtain the grading of the basic layer and the benefit layer.

[0012] Based on the corresponding weights of the basic tier rating and the benefit tier rating, as well as the risk tier score, the total score of the production and construction project is calculated. The total score is then graded according to the grading standards to determine the soil and water loss risk level of the production and construction project.

[0013] Preferably, the quantitative indicators for the basic layer, risk layer, and benefit layer are as follows:

[0014] Based on the water and soil conservation scheme characteristics of the production and construction project, the basic layer calculates the project scale of the production and construction project. The basic layer involves four quantitative indicators: the scope of prevention and control responsibility, the total amount of earthwork excavation and filling, the construction period, and the total predicted loss.

[0015] The risk layer is based on the on-site soil and water loss characteristics of the production and construction project to calculate the risk of the production and construction project. The risk layer involves three quantitative indicators: exposed surface area, temporary soil stockpile volume, and slope height.

[0016] The benefit layer calculates the benefits of the measures based on the implementation of on-site soil and water conservation measures for production and construction projects. The benefit layer involves four quantitative indicators: on-site barrier status, greening coverage completion rate, drainage and sedimentation facility completion rate, and hardening degree of the project area.

[0017] Preferably, the method for determining the calibration parameters of the quantitative index of exposed surface area in the risk layer is as follows:

[0018] When the exposed surface area is less than 1, the calibration parameter is set to 1; when the exposed surface area is greater than or equal to 10, the calibration parameter is set to 1 / 2; in other cases, the calibration parameter is set to 2 / 3.

[0019] Preferably, the method for determining the weight of quantitative indicators for on-site obstruction at the benefit level is as follows:

[0020] When the blocking efficiency is >80%, the weight is good; when the blocking efficiency is <30%, the weight is poor; in other cases, the weight is moderate.

[0021] The method for determining the weight of quantitative indicators for the completion rate of greening coverage measures at the benefit level is as follows:

[0022] Based on the on-site barrier situation, the weights for the completion rate of greening coverage measures are selected as follows: good on-site barrier situation, weight 30%; medium on-site barrier situation, weight 70%; poor on-site barrier situation, weight 50%.

[0023] The method for determining the weights of quantitative indicators for the completion rate of interception and drainage and sedimentation facilities in the benefit layer is as follows:

[0024] Based on the on-site interception and drainage and sedimentation facility completion rate, the weights are selected as follows: good on-site interception and drainage, 70%; medium on-site interception and drainage, 30%; and poor on-site interception and drainage, 50%.

[0025] The method for determining the weight of quantitative indicators of hardening degree in the project area of ​​the benefit layer is as follows:

[0026] Based on the results of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate, if the scores of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate are >= 80, then the weight is 0;

[0027] If the scores for on-site barrier conditions, greening coverage completion rate, and drainage and sedimentation facility completion rate are <80, the weight of the hardening degree of the project area will be selected based on the hardening degree of the project area. If the hardening degree is >80%, the weight will be +80; if the hardening degree is <30%, the weight will be -30; otherwise, the weight will be +50.

[0028] Preferably, the formula for calculating the base layer score is:

[0029]

[0030] In the formula, S x Basic layer score, X i The value of the i-th quantitative indicator in the basic layer, L i Z is the calibration parameter for the i-th quantitative indicator in the basic layer. i is the weight of the i-th quantitative indicator in the foundation layer, and m is the total number of quantitative indicators in the foundation layer;

[0031] The formula for calculating the risk layer score is:

[0032]

[0033] In the formula, S r To score the risk layer, X j Let L be the value of the j-th quantitative indicator in the risk layer. j Z is the calibration parameter for the j-th quantitative indicator in the risk layer. j Let be the weight of the j-th quantitative indicator in the risk layer, and n be the total number of quantitative indicators in the risk layer.

[0034] The formula for calculating the benefit level score is:

[0035]

[0036] In the formula, S p For the benefit level score, P y Z represents the value of the y-th quantitative indicator in the benefit layer. y Let P be the weight of the y-th quantitative indicator in the benefit layer. k Z represents the value of the k-th quantitative indicator in the benefit layer. k denoted as the weight of the k-th quantitative indicator in the benefit layer, where k is the total number of quantitative indicators in the benefit layer.

[0037] Preferably, the formula for calculating the total score is:

[0038] S=(1+B)·[(1+A)×S r ]

[0039] In the formula, S is the total score, S r For the risk layer score, A is the weight corresponding to the basic layer rating, and B is the weight corresponding to the benefit layer rating.

[0040] Preferably, the grading criteria are as follows: a score less than 60 is considered a high-risk level; a score greater than or equal to 80 is considered a low-risk level; and a score between 60 and 80 is considered a medium-risk level.

[0041] Preferably, the corresponding weights for the basic tier rating and the benefit tier rating are as follows:

[0042] If the basic tier is determined to be high-risk, the basic tier weight is -0.3; if the basic tier is determined to be medium-risk, the basic tier weight is -0.2; if the basic tier is determined to be low-risk, the basic tier weight is +0.1.

[0043] If the benefit layer is determined to be at a high risk level, the benefit layer weight is -0.2; if the benefit layer is determined to be at a medium risk level, the benefit layer weight is 0; if the benefit layer is determined to be at a low risk level, the benefit layer weight is +0.2.

[0044] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations as described in any of the preceding claims.

[0045] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method for assessing the risk of soil erosion in a production and construction project based on quantitative index calculations as described in any of the preceding claims.

[0046] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0047] 1. This invention, based on eleven indicators related to soil and water conservation in production and construction projects, constructs a soil and water loss risk assessment model applicable to various types of production and construction projects. It comprehensively evaluates the soil and water loss risk of production and construction projects from three aspects: basic scale, on-site risk, and the effectiveness of measures. This provides an assessment method that can accurately identify soil and water loss risks, is easy to obtain indicators for, and has the advantages of high efficiency, speed, and feasibility. It can improve the efficiency of soil and water conservation supervision and inspection by relevant water resources administrative departments and has significant practical application value for preventing serious soil and water loss incidents and for comprehensive soil and water loss prevention and control.

[0048] 2. This invention can be applied in practice by integrating information technology programs. It can collect and input data and perform automatic calculations using relevant mini-programs, thereby obtaining the water and soil erosion risk level of production and construction projects in real time. This provides a technical foundation for achieving standardized business processes, greatly improves the work efficiency of on-site inspectors, and is easy to promote and apply on a large scale. Attached Figure Description

[0049] Figure 1 This is a flowchart illustrating the water and soil erosion risk assessment method for production and construction projects based on quantitative index calculation, as described in this invention.

[0050] Figure 2 This is a schematic diagram of the technical route of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculation, as described in this invention.

[0051] Figure 3 This is a schematic diagram of the model architecture of the water and soil erosion risk assessment method for production and construction projects based on quantitative index calculation according to the present invention. Detailed Implementation

[0052] The method for assessing soil and water loss risk in production and construction projects based on quantitative index calculation, as described below, is further explained in conjunction with the accompanying drawings and specific embodiments.

[0053] Please see Figure 1This invention discloses a method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations, comprising the following steps:

[0054] S1. Construct a soil and water loss risk assessment model for production and construction projects. The soil and water loss risk assessment model includes a basic layer, a risk layer, and a benefit layer.

[0055] S2. Based on the basic scale of the production and construction project, the on-site risk characteristics, and the effectiveness of soil and water conservation measures, determine the quantitative indicators for the basic layer, risk layer, and benefit layer, as well as the weights and calibration parameters of the quantitative indicators.

[0056] S3. Collect quantitative indicator data of production and construction projects, input them into the soil and water loss risk assessment model, calculate the scores of the basic layer, risk layer and benefit layer, classify the scores according to the grading standards, and obtain the grading of the basic layer and the benefit layer.

[0057] S4. Based on the corresponding weights of the basic level grading and the benefit level grading, as well as the risk level score, calculate the total score of the production and construction project, classify the total score according to the grading standard, and determine the soil and water loss risk level of the production and construction project.

[0058] The technical route of the present invention is as follows: Figure 2 As shown, through data collection and organization, and based on existing project risk assessment methods, a classification system and grading method analysis were conducted to determine the classification system and grading method. Using a database of typical production construction projects, an analysis of soil erosion influencing factors and feasibility was performed to determine the soil erosion influencing factors. Through evaluation model weight calibration, model accuracy was verified, and the soil erosion risk assessment method was determined.

[0059] The model architecture of this invention is as follows Figure 3 As shown, this invention innovatively proposes a three-layer sub-model—comprising eleven quantitative indicators, a foundation layer, a risk layer, and a benefit layer—for classifying the soil and water loss risk level of production and construction projects. The risk level of a production and construction project is calculated based on its basic scale, on-site risk characteristics, and the effectiveness of soil and water conservation measures. This invention's method has significant advantages in identifying the risk level of production and construction projects under construction, enabling accurate identification, and the indicators are easily obtained, making it highly efficient, fast, and feasible.

[0060] The basic layer calculates the project scale based on the water and soil conservation plan characteristics of the production and construction project. The basic layer involves four quantitative indicators: the scope of prevention and control responsibility, the total amount of earthwork excavation and filling, the construction period, and the total predicted amount of water loss.

[0061] The risk layer calculates the risk status of production and construction projects based on on-site soil and water loss characteristics. The risk layer involves three quantitative indicators: exposed surface area, temporary soil stockpiles, and slope height. The exposed surface area is calculated by dividing it by the area of ​​the prevention and control responsibility zone, and this ratio is used in the calculation.

[0062] The benefit layer calculates the benefits of the measures based on the implementation of on-site soil and water conservation measures for production and construction projects. The benefit layer involves four quantitative indicators: on-site barrier status, greening coverage completion rate, drainage and sedimentation facility completion rate, and hardening degree of the project area.

[0063] The method for determining the calibration parameters of the quantitative index of exposed surface area in the risk layer is as follows:

[0064] When the exposed surface area is less than 1, the calibration parameter is set to 1; when the exposed surface area is greater than or equal to 10, the calibration parameter is set to 1 / 2; in other cases, the calibration parameter is set to 2 / 3.

[0065] The method for determining the weights of quantitative indicators for on-site obstruction at the benefit level is as follows:

[0066] When the blocking efficiency is >80%, the weight is good; when the blocking efficiency is <30%, the weight is poor; in other cases, the weight is moderate.

[0067] The method for determining the weight of quantitative indicators for the completion rate of greening coverage measures at the benefit level is as follows:

[0068] Based on the on-site barrier situation, the weight of the greening coverage measure completion rate is selected as follows: good on-site barrier situation, weight is 30%; medium on-site barrier situation, weight is 70%; poor on-site barrier situation, weight is 50%.

[0069] The method for determining the weights of quantitative indicators for the completion rate of interception and drainage and sedimentation facilities in the benefit layer is as follows:

[0070] Based on the on-site interception situation, the weights for the completion rates of drainage and sedimentation facilities are selected: 70% for good on-site interception situation, 30% for medium on-site interception situation, and 50% for poor on-site interception situation.

[0071] The method for determining the weight of quantitative indicators of hardening degree in the project area of ​​the benefit layer is as follows:

[0072] Based on the results of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate, if the scores of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate are >= 80, then the weight is 0;

[0073] If the scores for on-site barrier conditions, greening coverage completion rate, and drainage and sedimentation facility completion rate are <80, the weight of the hardening degree of the project area will be selected based on the hardening degree of the project area. If the hardening degree is >80%, the weight will be +80; if the hardening degree is <30%, the weight will be -30; otherwise, the weight will be +50.

[0074] The formula for calculating the base layer score is:

[0075]

[0076] In the formula, S x Basic layer score, X i The value of the i-th quantitative indicator in the basic layer, L i Z is the calibration parameter for the i-th quantitative indicator in the basic layer. i is the weight of the i-th quantitative indicator in the foundation layer, and m is the total number of quantitative indicators in the foundation layer;

[0077] The formula for calculating the risk layer score is:

[0078]

[0079] In the formula, S r To score the risk layer, X j Let L be the value of the j-th quantitative indicator in the risk layer. j Z is the calibration parameter for the j-th quantitative indicator in the risk layer. j Let be the weight of the j-th quantitative indicator in the risk layer, and n be the total number of quantitative indicators in the risk layer.

[0080] The formula for calculating the benefit level score is:

[0081]

[0082] In the formula, S p For the benefit level score, P y Z represents the value of the y-th quantitative indicator in the benefit layer. y Let P be the weight of the y-th quantitative indicator in the benefit layer. k Z represents the value of the k-th quantitative indicator in the benefit layer. k denoted as the weight of the k-th quantitative indicator in the benefit layer, where k is the total number of quantitative indicators in the benefit layer.

[0083] The formula for calculating the total score is:

[0084] S=(1+B)·[(1+A)×S r ]

[0085] In the formula, S is the total score, S r For the risk layer score, A is the weight corresponding to the basic layer rating, and B is the weight corresponding to the benefit layer rating.

[0086] The classification criteria are as follows: a score less than 60 is classified as high risk; a score greater than or equal to 80 is classified as low risk; and a score between 60 and 80 is classified as medium risk.

[0087] The basic tier is classified as high-risk, with a weight of -0.3; medium-risk, with a weight of -0.2; and low-risk, with a weight of +0.1. The benefit tier is classified as high-risk, with a weight of -0.2; medium-risk, with a weight of 0; and low-risk, with a weight of +0.2.

[0088] The following section uses the "Changlingpi Reservoir Water Quality Improvement and Protection Project" as an example to conduct a soil erosion risk assessment. The soil erosion risk assessment method includes the following steps:

[0089] (1) Input quantitative indicator data of production and construction projects, and calculate the scores of the basic layer, risk layer and benefit layer.

[0090] The specific quantitative indicator data to be input is: Prevention and control responsibility area 24.56 hm² 2 The total earthwork excavation and filling volume was 610,300 m³. 3 Construction period: September; predicted total water loss: 938.13 tons; exposed surface area: 0.1 hectares. 2 Temporary soil stockpiling volume: 40,000 m³ 3 The slope height is 5m; the on-site retaining structure is 60% complete; the greening coverage measures are 40% complete; the drainage and sedimentation facilities are 50% complete; and the hardening level of the project area is 20%.

[0091] The weights and calibration parameters of the quantitative indicators for the basic and risk layers are shown in Table 1, and the weight parameters of the quantitative indicators for the benefit layer are shown in Table 2.

[0092] According to the basic layer scoring formula Calculate the base layer score S x =79.4909.

[0093] According to the risk layer scoring formula Calculate the risk layer score S r =65.3371.

[0094] According to the benefit level scoring formula Calculate the benefit level score S p =37.00.

[0095] Table 1. Weights and calibration parameters of quantitative indicators for the basic and risk layers.

[0096]

[0097]

[0098] Table 2 Weighting parameters of quantitative indicators at the benefit level

[0099]

[0100] (2) Classify the scores of the basic layer and the benefit layer according to the grading standard to obtain the basic rating and benefit rating.

[0101] Among them, the basic layer score is between 60 and 80, which is judged as medium risk level; the benefit layer score is less than 60, which is judged as high risk level.

[0102] The weights corresponding to the different ratings of the basic layer and the benefit layer are shown in Table 3.

[0103] According to the total score formula S=(1+B)·[(1+A)×S r The total score is calculated to be S = 41.8158.

[0104] Table 3. Weights corresponding to the basic level rating and the benefit level rating.

[0105]

[0106] (3) According to the grading standard, if the total score is less than 60, the production and construction project is output as a high-risk level.

[0107] This invention presents a method for assessing soil erosion risk in production and construction projects based on quantitative index calculations. It primarily classifies the soil erosion risk level of production and construction projects from three aspects: the project's basic scale, on-site risk characteristics, and the effectiveness of soil and water conservation measures. This method is applicable to all types of production and construction projects. Data is mainly obtained through on-site investigations, and this method does not require any specialized software.

[0108] In summary, the present invention has the following advantages and beneficial effects:

[0109] 1. This invention, based on eleven indicators related to soil and water conservation in production and construction projects, constructs a soil and water loss risk assessment model applicable to various types of production and construction projects. It comprehensively evaluates the soil and water loss risk of production and construction projects from three aspects: basic scale, on-site risk, and the effectiveness of measures. This provides an assessment method that can accurately identify soil and water loss risks, is easy to obtain indicators for, and has the advantages of high efficiency, speed, and feasibility. It can improve the efficiency of soil and water conservation supervision and inspection by relevant water resources administrative departments and has significant practical application value for preventing serious soil and water loss incidents and for comprehensive soil and water loss prevention and control.

[0110] 2. This invention can be applied in practice by integrating information technology programs. It can collect and input data and perform automatic calculations using relevant mini-programs, thereby obtaining the water and soil erosion risk level of production and construction projects in real time. This provides a technical foundation for achieving standardized business processes, greatly improves the work efficiency of on-site inspectors, and is easy to promote and apply on a large scale.

[0111] This invention also discloses an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations as described above. The electronic device of this invention can execute the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations, and can execute any combination of the steps in the method embodiments, possessing the corresponding functions and beneficial effects of the method.

[0112] This invention also discloses a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the steps of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations as described above. The computer-readable storage medium of this invention can execute the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations, and can execute any combination of the steps of the method embodiments, possessing the corresponding functions and beneficial effects of the method.

[0113] Although the invention has been described in the context of functional modules, it should be understood that, unless otherwise stated, one or more of the functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the invention. Rather, given the properties, functions, and internal relationships of the various functional modules in the system disclosed herein, the actual implementation of the module will be understood within the scope of conventional art for an engineer. Therefore, those skilled in the art can implement the invention set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of the invention, which is determined by the full scope of the appended claims and their equivalents.

[0114] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0115] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0116] Various parts of this invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals; application-specific integrated circuits (ASICs) having suitable combinational logic gates; programmable gate arrays (PGAs); field-programmable gate arrays (FPGAs); etc.

[0117] The above description is a detailed description of the preferred embodiments of the present invention. However, the embodiments are not intended to limit the scope of the patent application of the present invention. All equivalent changes or modifications made under the technical spirit disclosed in the present invention should fall within the patent scope covered by the present invention.

Claims

1. A method for assessing soil and water loss risk in production and construction projects based on quantitative index calculations, characterized in that, Includes the following steps: Construct a soil and water loss risk assessment model for production and construction projects. The soil and water loss risk assessment model includes a basic layer, a risk layer, and a benefit layer. Based on the basic scale of the production and construction project, the on-site risk characteristics, and the effectiveness of soil and water conservation measures, determine the quantitative indicators for the basic layer, risk layer, and benefit layer, as well as the weights and calibration parameters of the quantitative indicators; Collect quantitative indicator data of production and construction projects, input them into the soil and water loss risk assessment model, calculate the scores of the basic layer, risk layer and benefit layer, classify the scores according to the grading standards, and obtain the grading of the basic layer and the benefit layer. Based on the corresponding weights of the basic level grading and the benefit level grading, as well as the risk level score, the total score of the production and construction project is calculated. The total score is then graded according to the grading standards to determine the soil and water loss risk level of the production and construction project. The quantitative indicators for the foundation layer, risk layer, and benefit layer are as follows: Based on the water and soil conservation scheme characteristics of the production and construction project, the basic layer calculates the project scale of the production and construction project. The basic layer involves four quantitative indicators: the scope of prevention and control responsibility, the total amount of earthwork excavation and filling, the construction period, and the total predicted loss. The risk layer is based on the on-site soil and water loss characteristics of the production and construction project to calculate the risk of the production and construction project. The risk layer involves three quantitative indicators: exposed surface area, temporary soil stockpile volume, and slope height. The benefit layer calculates the benefits of the measures based on the implementation of on-site soil and water conservation measures for production and construction projects. The benefit layer involves four quantitative indicators: on-site barrier status, greening coverage completion rate, drainage and sedimentation facility completion rate, and hardening degree of the project area. The method for determining the calibration parameters of the quantitative index of exposed surface area in the risk layer is as follows: When the exposed surface area is less than 1, the calibration parameter is set to 1; when the exposed surface area is greater than or equal to 10, the calibration parameter is set to 1 / 2; in other cases, the calibration parameter is set to 2 / 3. The method for determining the weights of quantitative indicators for on-site obstruction at the benefit level is as follows: When the blocking efficiency is >80%, the weight is good; when the blocking efficiency is <30%, the weight is poor; in other cases, the weight is moderate. The method for determining the weight of quantitative indicators for the completion rate of greening coverage measures at the benefit level is as follows: Based on the on-site barrier situation, the weights for the completion rate of greening coverage measures are selected as follows: good on-site barrier situation, weight 30%; medium on-site barrier situation, weight 70%; poor on-site barrier situation, weight 50%. The method for determining the weights of quantitative indicators for the completion rate of interception and drainage and sedimentation facilities in the benefit layer is as follows: Based on the on-site interception and drainage and sedimentation facility completion rate, the weights are selected as follows: good on-site interception and drainage, 70%; medium on-site interception and drainage, 30%; and poor on-site interception and drainage, 50%. The method for determining the weight of quantitative indicators of hardening degree in the project area of ​​the benefit layer is as follows: Based on the results of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate, if the scores of the on-site barrier situation, greening coverage measures completion rate, and drainage and sedimentation facility completion rate are >= 80, then the weight is 0. If the scores for on-site barrier conditions, greening coverage completion rate, and drainage and sedimentation facility completion rate are <80, the weight of the hardening degree of the project area will be selected based on the hardening degree of the project area. If the hardening degree is >80%, the weight will be +80; if the hardening degree is <30%, the weight will be -30; otherwise, the weight will be +50. The formula for calculating the base layer score is: ； In the formula, Based on the basic level score, This is the value of the i-th quantitative indicator in the basic layer. The calibration parameter for the i-th quantitative indicator in the basic layer is... is the weight of the i-th quantitative indicator in the foundation layer, and m is the total number of quantitative indicators in the foundation layer; The formula for calculating the risk layer score is: ； In the formula, Score for the risk layer, Let j be the value of the j-th quantitative indicator in the risk layer. Let j be the calibration parameter for the j-th quantitative indicator in the risk layer. is the weight of the j-th quantitative indicator in the risk layer, and n is the total number of quantitative indicators in the risk layer; The formula for calculating the benefit level score is: ； In the formula, For the benefit level score, Let y be the value of the y-th quantitative indicator in the benefit layer. Let y be the weight of the y-th quantitative indicator in the benefit layer. Let k be the value of the k-th quantitative indicator in the benefit layer. is the weight of the k-th quantitative indicator in the benefit layer, where k is the total number of quantitative indicators in the benefit layer; The formula for calculating the total score is: ； In the formula, For the total score, Score for the risk layer, The weights are assigned to the base layer. Assign weights to the benefit level.

2. The method for assessing soil and water loss risk in production and construction projects based on quantitative index calculation as described in claim 1, characterized in that, The classification criteria are as follows: a score less than 60 is classified as high risk; a score greater than or equal to 80 is classified as low risk; and a score between 60 and 80 is classified as medium risk.

3. The method for assessing soil and water loss risk in production and construction projects based on quantitative index calculation as described in claim 2, characterized in that, The corresponding weights for the basic tier rating and the benefit tier rating are as follows: If the basic tier is determined to be high-risk, the basic tier weight is -0.3; if the basic tier is determined to be medium-risk, the basic tier weight is -0.2; if the basic tier is determined to be low-risk, the basic tier weight is +0.

1. If the benefit layer is determined to be at a high risk level, the benefit layer weight is -0.2; if the benefit layer is determined to be at a medium risk level, the benefit layer weight is 0; if the benefit layer is determined to be at a low risk level, the benefit layer weight is +0.

2.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculation as described in any one of claims 1 to 3.

5. A computer-readable storage medium storing a computer program, characterized in that, When a computer program is executed by a processor, it implements the steps of the method for assessing the risk of soil erosion in production and construction projects based on quantitative index calculations as described in any one of claims 1 to 3.

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