Comprehensive intelligent evaluation method and system for soil conditioning effect

Abstract

The invention relates to the technical field of data processing, and provides a comprehensive intelligent evaluation method and system for a soil conditioning effect, and the method comprises the steps: obtaining the soil cadmium content, the crop cadmium content and the soil acidity and alkalinity of a plurality of soil samples of a plurality of soil types after multiple times of conditioning, and the conditioner cost of each time of conditioning; dividing the soil sample to obtain a plurality of pollution categories; according to the soil cadmium content change and change difference of the same soil sample after adjacent conditioning, the soil passivation degree of each soil sample under the soil cadmium content after each conditioning is obtained; the conditioning response degree of each soil sample under the soil cadmium content is obtained; the remediation contribution degree of each pollution category under the soil cadmium content is obtained; and obtaining the grey correlation degree of each evaluation index and other evaluation indexes in each pollution category, so as to construct a conditioning evaluation model. The invention aims to solve the problem of inaccurate evaluation caused by the fact that the influence of soil quality and pollution degree is not considered in the evaluation process of the soil conditioning effect.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a comprehensive intelligent evaluation method and system for soil conditioning effects. Background Art

[0002] Soil is a primary natural resource for human survival. With the rapid development of industry and agriculture and urbanization, soil pollution is becoming increasingly serious. Heavy metal pollution, a major type of soil pollution, poses a serious threat to the ecological environment and human health due to its wide-ranging impact, long-lasting nature, high invisibility, and non-biodegradability. Cadmium pollution is a particularly prominent issue among heavy metal soil pollution. The increasing severity of heavy metal cadmium pollution poses a significant safety risk to the production and quality of food crops. Remediating heavy metal cadmium contamination in soil, maintaining and improving soil quality, and enhancing soil productivity are pressing challenges.

[0003] Soil conditioners can repair contaminated soil through physical, chemical, and biological means, improving its structure and reducing the bioavailability of heavy metals, thereby reducing the harm of heavy metals to crops. They effectively repair and improve heavy metal contamination of soil and enhance soil fertility and productivity. They are an important approach for remediating heavy metal cadmium contamination in farmland and have promising application prospects. Current evaluations of the effectiveness of soil conditioners rely primarily on changes in the extracted available cadmium content of soil and the heavy metal content of agricultural products. However, this single-metric approach ignores the impact of differences in soil matrix and varying degrees of contamination, and lacks sufficient attention to changes in soil quality, which can lead to misjudgments of the remediation effects of soil conditioners. Summary of the Invention

[0004] The present invention provides a comprehensive intelligent evaluation method and system for soil conditioning effects to address the problem that existing soil conditioning effect evaluation processes fail to consider the impact of soil quality and contamination levels, resulting in inaccurate evaluations. The technical solutions employed are as follows: The present invention proposes a comprehensive intelligent evaluation method for soil conditioning effects, which includes the following steps: Obtain soil cadmium levels, crop cadmium levels, and soil pH after multiple conditioning of several soil samples from various soil types, as well as the cost of the conditioning agent for each conditioning; Based on the soil cadmium content of soil samples of the same soil type, the soil samples were divided into several pollution categories; based on the changes and differences in the soil cadmium content after consecutive conditioning of the same soil samples, the soil passivation degree under the soil cadmium content of each soil sample after each conditioning was obtained; Analyze the differences in soil passivation levels after adjacent conditioning of the same soil sample, quantify the remediation stability under soil cadmium content after each conditioning, and combine the remediation stability after all conditioning times to obtain the conditioning response degree of each soil sample under soil cadmium content. Based on the conditioning response degree of different soil samples in the same pollution category under soil cadmium content, obtain the response fluctuation degree of each pollution category under soil cadmium content, and then obtain the remediation contribution degree of each pollution category under soil cadmium content. The restoration contribution of each pollution category under the evaluation indicators of crop cadmium content, soil pH and conditioner cost was obtained respectively. Combined with the data changes of each evaluation indicator in each pollution category, the grey correlation between each evaluation indicator and other evaluation indicators in each pollution category was obtained to construct a conditioning evaluation model.

[0005] Optionally, the soil samples are classified into several pollution categories, including the following specific methods: For several soil samples of the same soil type, density clustering was performed on each conditioning of each soil sample under the same soil type based on soil cadmium content. The distance metric used was the absolute value of the difference between the soil cadmium content of each soil sample after each conditioning, and several categories under the soil type were obtained. Several categories are obtained for each soil type, and all categories are regarded as several pollution categories.

[0006] Optionally, the soil passivation degree of each soil sample under each conditioning condition under soil cadmium content includes the following specific methods: For any soil sample, the difference between the soil cadmium content after the current conditioning and the soil cadmium content after the previous conditioning is taken as the soil cadmium content change for that conditioning. The change in soil cadmium content of the soil sample after each conditioning was obtained, and the ratio of the change in soil cadmium content of any conditioning to the standard deviation of the change in soil cadmium content of all conditionings was used as the soil passivation degree of that conditioning.

[0007] Optionally, the restoration stability of the soil under cadmium content after each conditioning is obtained by: For any soil sample, at any conditioning time, under the soil cadmium content, the difference between the soil passivation degree of that conditioning time and the minimum value of the soil passivation degree of all conditioning times is obtained as the soil passivation deviation of that conditioning time; The ratio of the soil passivation deviation of this conditioning to the soil passivation deviation of the previous adjacent conditioning is taken as the repair stability of this conditioning.

[0008] Optionally, obtaining the conditioning response degree of each soil sample under soil cadmium content includes the following specific methods: The mean of the repair stability of all conditioning times of any soil sample was obtained as the average stability of the soil sample; The absolute value of the difference between the repair stability of any conditioning and the average stability is taken as the stability deviation of the repair, and the inverse proportional normalization result of the mean of the stability deviations of all conditionings of the soil sample is taken as the conditioning response degree of the soil sample.

[0009] Optionally, the specific method for obtaining the response fluctuation degree of each pollution category under the soil cadmium content is as follows: Under the soil cadmium content, the conditioning response degree of any soil sample is assigned to its various conditionings to obtain the conditioning response degree of each conditioning of the soil sample; The ratio of the standard deviation of the conditioning response degree of all soil samples in any pollution category to the mean of the conditioning response degree is taken as the response fluctuation degree of the pollution category.

[0010] Optionally, the specific method for obtaining the remediation contribution of each pollution category under the soil cadmium content is as follows: Based on the response fluctuation degree of any pollution category under the soil cadmium content and the mean of the response fluctuation degrees of all pollution categories under the soil cadmium content, the remediation contribution degree of the pollution category under the soil cadmium content is obtained, and the remediation contribution degree is negatively correlated with the mean and the response fluctuation degree of the pollution category.

[0011] Optionally, the restoration contribution of each pollution category under the evaluation indicators of crop cadmium content, soil pH, and conditioner cost can be obtained by: The pollution categories obtained based on soil cadmium content of other evaluation indicators are subsequently processed, including obtaining the soil passivation degree under the corresponding evaluation indicators after each soil sample conditioning, the conditioning response degree of each soil sample under the corresponding evaluation indicators, and the response fluctuation degree of each pollution category under each evaluation indicator, and then obtaining the remediation contribution of each pollution category under each evaluation indicator.

[0012] Optionally, the gray correlation degree between each evaluation indicator in each pollution category and other evaluation indicators is obtained by the following specific methods: For the Soil cadmium content under pollution category, obtain The soil cadmium content of each soil sample under each pollution category corresponding to the first conditioning was arranged in the order of collection to obtain the first Soil cadmium content sequence of pollution categories, obtain the Other evaluation index sequences for each pollution category; Calculate the correlation coefficient between the soil cadmium content sequence and the other evaluation index sequences as the first The local correlation coefficient between soil cadmium content in each pollution category and other evaluation indicators; Other evaluation indicators The restoration contribution of each pollution category is the weight, The local correlation coefficients of soil cadmium content and other evaluation indicators in each pollution category were weighted and averaged, and the obtained results were used as the soil cadmium content in the first The grey correlation between pollution categories and other evaluation indicators.

[0013] The present invention also proposes a comprehensive intelligent evaluation system for soil conditioning effects, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0014] The beneficial effects of the present invention are as follows: the present invention reflects different soil matrices and pollution levels through soil type and soil cadmium content, divides pollution categories, and analyzes the soil passivation effect of each evaluation index after multiple conditioning of soil samples, so as to comprehensively reflect the conditioning response relationship of soil samples to each evaluation index, and then quantifies the response stability relationship of each pollution category, i.e., the treatment stage, to the corresponding evaluation index, thereby obtaining the restoration contribution and quantifying the grey correlation quantification of the evaluation index of each pollution category; wherein soil samples of different soil types and different treatment stages are classified according to the soil cadmium content, eliminating the comparative deviation caused by different soil matrices and pollution levels during the soil conditioning process; and based on the numerical change relationship of each evaluation index of the same soil sample before and after multiple conditioning, quantifies the soil passivation of the corresponding evaluation index under the corresponding conditioning. effect, in order to provide a basis for quantifying the response degree of subsequent evaluation indicators to soil conditioning; by analyzing the differences in soil passivation effects during the conditioning process of the same soil samples, the conditioning response degree of soil samples to the evaluation indicators is quantified, and the response fluctuation degree of each pollution category is quantified to reflect the stable response relationship of the corresponding evaluation indicators to soil conditioning under the corresponding governance stage, and the contribution of each evaluation indicator and each pollution category to soil remediation is analyzed to comprehensively reflect the response relationship between each pollution category and the remediation during the soil conditioning process under each evaluation indicator, so as to construct a conditioning evaluation model, thereby realizing a comprehensive evaluation of soil conditioning effects based on multiple evaluation indicators, avoiding interference of soil matrix differences and different pollution levels on the evaluation, and ensuring the accuracy of soil conditioning effect evaluation, thereby maintaining the good ecological service function of farmland soil. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 A schematic flow chart of a comprehensive intelligent evaluation method for soil conditioning effects provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] See also Figure 1 , which shows a flow chart of a comprehensive intelligent evaluation method for soil conditioning effects provided by an embodiment of the present invention, the method comprising the following steps: Step S001: obtaining soil cadmium content, crop cadmium content, soil pH, and conditioning agent cost for multiple conditioning of soil samples of multiple soil types after multiple conditioning.

[0019] It should be noted that the traditional method for evaluating the effect of farmland soil conditioning is to select a series of relevant indicators, and conduct qualitative and quantitative evaluation of soil functions such as soil productivity and plant health from a temporal and spatial scale to evaluate the effect of soil conditioners; it ignores the impact of different evaluation indicators on the contribution of soil conditioning effects, and lacks attention to changes in the quality of the soil itself, which may lead to misjudgment of the repair effect of the conditioner.

[0020] The purpose of this example is to calculate the remediation contribution of the evaluation indicators to soil conditioning based on the different cadmium absorption and migration abilities of different soil types, resulting in differences in the response levels of different evaluation indicators, in order to more accurately evaluate the soil conditioning process and improve soil quality and remediation effects. The purpose is to evaluate the degree of change in the available cadmium content during the soil remediation process by measuring the response levels of a series of evaluation indicators after passivation in different soil matrices, and to comprehensively evaluate the effectiveness of soil remediation.

[0021] Specifically, several soil samples were obtained from multiple soil types including clay and sand, and each soil sample was used as a test area. Before the test, each test area was evenly harrowed with a rotary tiller, and after applying the conditioner, multiple evaluation indicators were measured in each soil sample, including the available cadmium content in the soil, as the soil cadmium content; the cadmium content of crops, during the maturity period of the crops, crop samples were collected in each test area, and after digestion, the cadmium content in the crops was measured using an atomic absorption spectrometer; the soil acidity and alkalinity were expressed by the soil pH value; and the cost of the conditioner was directly recorded for each application of the conditioner; and after the application of the soil treatment agent, field management such as fertilization, weeding, and irrigation was carried out according to local crop planting habits, and sampling of soil-related evaluation indicators was carried out regularly and at fixed points.

[0022] Furthermore, it is preset to sample soil-related evaluation indicators at a time point of one month after each application of the soil conditioner, and the pH value of the soil sample is determined by the potentiometric method; the soil sample solution is extracted using the chemical extractant diethylenetriaminepentaacetic acid-calcium chloride-triethanolamine buffer, and then the available cadmium content in the soil extract is determined using an atomic absorption spectrometer; thereby, relevant data on multiple evaluation indicators of multiple soil samples conditioned multiple times under different soil types are obtained.

[0023] It should be noted that soil conditioners passivate cadmium in situ by causing it to undergo adsorption, complexation or precipitation reactions in the soil, thereby converting the available cadmium in the soil into an inactive form of cadmium, thereby controlling the migration of available cadmium in the soil and ensuring the safety of crop production in farmland. Soil samples at different treatment stages respond differently to the available cadmium content in the soil after passivation treatment. By classifying different soils and analyzing the quality of available cadmium in the soil conditioning process at the same treatment stage, the response sensitivity of each evaluation indicator to the application of soil conditioners at different treatment stages is determined, that is, the conditioning response degree corresponding to each soil sample, and then the response conditioning degree of each category is obtained, and the restoration contribution of each evaluation indicator is determined accordingly. The correlation in the comprehensive evaluation model is weighted and adjusted to obtain a more accurate restoration effect evaluation model.

[0024] Step S002: Based on the soil cadmium content of soil samples of the same soil type, the soil samples are divided into several pollution categories; based on the changes and differences in the soil cadmium content after adjacent conditioning of the same soil samples, the soil passivation degree under the soil cadmium content after each conditioning of each soil sample is obtained.

[0025] It should be noted that soil conditioners need to be used continuously for a long time during their application to ensure the soil improvement effect. However, due to different soil matrices and different degrees of soil pollution, the effective cadmium content in the soil varies greatly. When conducting a comprehensive analysis of the soil conditioning effect, directly comparing soil samples with different matrices, i.e. different soil types, and different degrees of pollution, i.e. different treatment stages, has certain limitations in practical applications, resulting in one-sided evaluation results. The degree of soil pollution is judged based on the changes in the effective cadmium content in the soil, and the pollution degrees of several types of soils in the test process are divided in combination with the soil matrix. This allows subsequent analysis of the impact of land conditioners on the effective cadmium content to compare the response of the conditioning effect based on the same pollution degree, i.e. treatment stage.

[0026] Preferably, in one embodiment of the present invention, soil samples are classified into several pollution categories based on the cadmium content of soil samples of the same soil type, including the following specific methods: For several soil samples of the same soil type, density clustering is performed on each conditioning of each soil sample under the same soil type based on the soil cadmium content. In this embodiment, density clustering adopts DBSCAN clustering, and the distance measurement adopts the absolute value of the difference between the soil cadmium content of each soil sample after each conditioning to obtain several categories under the soil type. Each category corresponds to several soil samples under similar treatment stages (different soil samples have corresponding conditioning under similar treatment stages); several categories are obtained for each soil type, and all categories are regarded as several pollution categories.

[0027] It should be further explained that when obtaining the pollution categories corresponding to soil samples at different treatment stages (pollution levels), there are obvious differences in the response levels of the same evaluation indicators at different pollution stages. For example, in the early stage of soil conditioning, the adjustment of soil pH value contributes more to the soil conditioning effect, while in the later stage of conditioning, the change of available cadmium content in the soil contributes more to the soil conditioning effect. After applying soil conditioners, there are obvious differences in the passivation degree of available cadmium content in the soil. By analyzing the response characteristics of soil physical and chemical properties after each application of land conditioners, the soil passivation degree of each evaluation indicator of the same indicator at different conditioning stages is obtained.

[0028] Preferably, in one embodiment of the present invention, based on the change and difference of soil cadmium content after adjacent conditioning of the same soil sample, the soil passivation degree under the soil cadmium content after each conditioning of each soil sample is obtained, including the specific method of: For any soil sample conditioned at any time, the difference between the soil cadmium content after the conditioning and the soil cadmium content after the previous conditioning is taken as the change in soil cadmium content for that conditioning; the change in soil cadmium content for each conditioning of the soil sample is obtained, and the ratio of the change in soil cadmium content for any conditioning to the standard deviation of the change in soil cadmium content for all conditioning times is taken as the soil passivation degree for that conditioning, thereby obtaining the soil passivation degree under the soil cadmium content after each conditioning of each soil sample.

[0029] It should be noted that the greater the change in soil cadmium content after different conditioning of the same soil sample, and the smaller the standard deviation of the overall change, the greater the conditioning effect on the soil cadmium content after the corresponding conditioning, and the more obvious the soil passivation effect, that is, the greater the degree of soil passivation.

[0030] At this point, soil samples of different soil types and at different treatment stages are classified according to the soil cadmium content to eliminate the comparative deviation caused by different soil matrices and pollution levels during the soil conditioning process; and based on the numerical change relationship of each evaluation index of the same soil sample before and after multiple conditioning, the soil passivation effect of the corresponding evaluation index under the corresponding conditioning is quantified, providing a basis for the subsequent quantification of the response degree of each evaluation index to soil conditioning.

[0031] Step S003: Analyze the differences in soil passivation levels after adjacent conditioning of the same soil sample, quantify the remediation stability of the soil under cadmium content after each conditioning, and combine the remediation stability after all conditioning times to obtain the conditioning response degree of each soil sample under soil cadmium content; based on the conditioning response degree of different soil samples in the same pollution category under soil cadmium content, obtain the response fluctuation degree of each pollution category under soil cadmium content, and then obtain the remediation contribution degree of each pollution category under soil cadmium content.

[0032] It should be noted that the change in the available cadmium content in the soil usually varies with the number and frequency of application of the conditioner. In the initial stage, after the conditioner is applied, the available cadmium content in the soil may change rapidly, but as the conditioning process progresses, the passivation effect gradually appears and the changes tend to be stable; however, if the conditioner is applied too frequently and the application interval is too short, the change in the available cadmium content in the soil may fluctuate greatly.

[0033] Preferably, in one embodiment of the present invention, the difference in the degree of soil passivation after adjacent conditioning of the same soil sample is analyzed, the remediation stability of the soil under cadmium content after each conditioning is quantified, and the remediation stability after all conditioning is combined to obtain the conditioning response degree of each soil sample under soil cadmium content. The specific method includes: For any soil sample subjected to any conditioning, under the soil cadmium content, the difference between the soil passivation degree of that conditioning and the minimum value of the soil passivation degree of all conditionings is obtained as the soil passivation deviation of that conditioning; the ratio of the soil passivation deviation of that conditioning to the soil passivation deviation of the previous conditioning is taken as the remediation stability of that conditioning.

[0034] Furthermore, the mean of the repair stability of all conditionings of the soil sample is obtained as the average stability of the soil sample; the absolute value of the difference between the repair stability of any conditioning and the average stability is taken as the stability deviation of the repair; the inverse proportional normalization result of the mean of the stability deviation of all conditionings of the soil sample is taken as the conditioning response degree of the soil sample, and the conditioning response degree of each soil sample under the soil cadmium content is obtained.

[0035] What needs to be explained is that based on the difference in the degree of soil passivation between adjacent conditionings, the remediation stability of each conditioning is quantified to reflect the response relationship of the corresponding evaluation indicators of the soil samples in the conditioning process to the conditioning. The greater the deviation of the remediation stability of all conditionings of the soil sample and the larger the mean, the greater the fluctuation in the remediation stability, the more unstable the response relationship of the overall soil sample to the conditioning process, and the smaller the conditioning response degree, that is, it is more likely to be greatly affected by other evaluation indicators, and there is a strong response relationship between the conditioning process and other evaluation indicators.

[0036] It should be further explained that the conditioning response degree of the same soil sample reflects the subsequent conditioning response relationship to the corresponding evaluation indicators under the initial pollution degree. Therefore, it can be directly assigned as the response relationship of the corresponding evaluation indicators for each conditioning, and then the response fluctuation degree of each pollution category can be quantified to reflect whether the response relationship of the corresponding treatment stage is stable, and then the restoration contribution degree can be comprehensively obtained based on the stable performance.

[0037] Preferably, in one embodiment of the present invention, based on the conditioning response degree of different soil samples in the same pollution category under the soil cadmium content, the response fluctuation degree of each pollution category under the soil cadmium content is obtained, and then the remediation contribution of each pollution category under the soil cadmium content is obtained, including the specific method: Under the soil cadmium content, the conditioning response degree of any soil sample is assigned to its each conditioning, and the conditioning response degree of each conditioning of the soil sample is obtained; the ratio of the standard deviation of the conditioning response degree of all soil samples in the corresponding conditioning in any pollution category to the mean of the conditioning response degree is used as the response fluctuation degree of the pollution category.

[0038] It should be noted that the treatment stages in the same pollution category are similar, but if the conditioning response degree of different soil samples is small and the fluctuation range is large, resulting in a larger standard deviation, the response fluctuation degree will be greater, and the difference in soil passivation effect of different soil samples in the treatment stage of the corresponding category will be greater, and the influence of soil cadmium content in the conditioning process under the corresponding category will be unstable, that is, the response of the treatment stage to the soil cadmium content will be more unstable.

[0039] Furthermore, based on the response fluctuation degree of any pollution category under the soil cadmium content and the mean of the response fluctuation degrees of all pollution categories under the soil cadmium content, the remediation contribution degree of the pollution category under the soil cadmium content is obtained, and the remediation contribution degree is negatively correlated with the mean and the response fluctuation degree of the pollution category.

[0040] As an example, the inversely proportional normalized result of the mean of the response fluctuation levels of all pollution categories under soil cadmium content and the product of the response fluctuation level of any pollution category under soil cadmium content is taken as the remediation contribution of the pollution category under soil cadmium content.

[0041] It should be noted that different pollution categories correspond to different treatment stages. If the response fluctuation degree of each pollution category is small and the response fluctuation degree of the pollution category is also small, then the treatment response relationship of different soil samples under each pollution category to the soil cadmium content will be more stable and closer. At the same time, the greater the response of the soil cadmium content of this pollution category to the conditioning process, the greater the remediation contribution.

[0042] At this point, by analyzing the differences in soil passivation effects during the conditioning process of the same soil samples, the degree of conditioning response of soil samples to the evaluation indicators was quantified, and the degree of response fluctuation of each pollution category was quantified to reflect the stable response relationship of the corresponding evaluation indicators to soil conditioning under the corresponding treatment stage. Based on this, the contribution of each evaluation indicator and each pollution category to soil remediation was analyzed, and the response relationship between each pollution category and the remediation during the soil conditioning process under each evaluation indicator was comprehensively reflected.

[0043] Step S004: Obtain the restoration contribution of each pollution category under each evaluation indicator of crop cadmium content, soil pH, and conditioner cost respectively, combine the data changes of each evaluation indicator in each pollution category, and obtain the gray correlation between each evaluation indicator in each pollution category and other evaluation indicators, so as to construct a conditioning evaluation model.

[0044] Specifically, the pollution category needs to be obtained based on the soil cadmium content, and other evaluation indicators are subsequently processed based on the pollution category obtained based on the soil cadmium content, including obtaining the soil passivation degree under the corresponding evaluation indicators after each soil sample is conditioned, the conditioning response degree of each soil sample under the corresponding evaluation indicators, and the response fluctuation degree of each pollution category under each evaluation indicator, and then obtaining the remediation contribution of each pollution category under each evaluation indicator; in addition to the soil cadmium content, other evaluation indicators also include the cadmium content of crops, soil pH and the cost of conditioners.

[0045] Further, the Taking the soil cadmium content under a pollution category as an example, the soil cadmium content of each soil sample under the pollution category corresponding to the conditioning is obtained, and arranged in the order of collection (arranged in the order of collected soil samples, and the same soil samples are arranged in the order of conditioning) to obtain the soil cadmium content sequence of the pollution category, and similarly obtain the other evaluation index sequences of the pollution category; calculate the correlation coefficient between the soil cadmium content sequence and the other evaluation index sequences as the local correlation coefficient between the soil cadmium content of the pollution category and the other evaluation indicators, wherein the correlation coefficient is calculated according to the existing method and will not be repeated in this embodiment; use the remediation contribution of the pollution category under other evaluation indicators as the weight, perform weighted averaging on the local correlation coefficients of the soil cadmium content of the pollution category and the other evaluation indicators, and obtain the result as the grey correlation degree of the soil cadmium content in the pollution category and the other evaluation indicators; obtain the grey correlation degree of each evaluation indicator in each pollution category and the other evaluation indicators according to the above method.

[0046] Furthermore, pollution categories are divided based on soil type and soil cadmium content, and the grey correlation between each evaluation index and other evaluation indexes is obtained based on the pollution category, so as to construct a conditioning evaluation model. That is, by outputting the grey correlation of the corresponding evaluation index, the conditioning effect of the pollution category under the corresponding soil type and soil cadmium content on the corresponding evaluation index is reflected; and in the soil conditioning process, the current conditioning is input into the corresponding pollution category through the soil cadmium content, crop cadmium content, soil pH and conditioning agent cost, as well as the soil type under the current conditioning, and the grey correlation is updated to realize the conditioning effect evaluation.

[0047] So far, the pollution categories are divided by soil type and soil cadmium content to reflect different soil matrices and pollution levels, and the soil passivation effects of various evaluation indicators after multiple conditioning of soil samples are analyzed to comprehensively reflect the conditioning response relationship of soil samples to various evaluation indicators, and then quantify the response stability relationship of each pollution category, that is, the treatment stage, to the corresponding evaluation indicators, so as to obtain the restoration contribution and quantify the grey correlation of the evaluation indicators of each pollution category, so as to construct a conditioning evaluation model, thereby realizing a comprehensive evaluation of soil conditioning effects based on multiple evaluation indicators, avoiding the interference of soil matrix differences and different pollution levels on the evaluation, and ensuring the accuracy of soil conditioning effect evaluation, thereby maintaining the good ecological service function of farmland soil.

[0048] It should be noted that this embodiment adopts Model to present inverse proportional relationship and normalization processing, represents an exponential function with a natural constant as the base, As the input of the model, the implementer can set the inverse proportional function and normalization function according to the actual situation.

[0049] Another embodiment of the present invention provides a comprehensive intelligent evaluation system for soil conditioning effects, which includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, steps S001 to S004 of the above method are implemented.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A comprehensive intelligent evaluation method for soil conditioning effects, characterized in that: The method comprises the following steps: Obtain soil cadmium levels, crop cadmium levels, and soil pH after multiple conditioning of several soil samples from various soil types, as well as the cost of the conditioning agent for each conditioning; Based on the soil cadmium content of soil samples of the same soil type, the soil samples were divided into several pollution categories; based on the changes and differences in the soil cadmium content after consecutive conditioning of the same soil samples, the soil passivation degree under the soil cadmium content of each soil sample after each conditioning was obtained; Analyze the differences in soil passivation levels after adjacent conditioning of the same soil sample, quantify the remediation stability under soil cadmium content after each conditioning, and combine the remediation stability after all conditioning times to obtain the conditioning response degree of each soil sample under soil cadmium content. Based on the conditioning response degree of different soil samples in the same pollution category under soil cadmium content, obtain the response fluctuation degree of each pollution category under soil cadmium content, and then obtain the remediation contribution degree of each pollution category under soil cadmium content. The restoration contribution of each pollution category under the evaluation indicators of crop cadmium content, soil pH and conditioner cost was obtained respectively. Combined with the data changes of each evaluation indicator in each pollution category, the grey correlation between each evaluation indicator and other evaluation indicators in each pollution category was obtained to construct a conditioning evaluation model.

2. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The soil samples are classified into several pollution categories, including the following specific methods: For several soil samples of the same soil type, density clustering was performed on each conditioning of each soil sample under the same soil type based on soil cadmium content. The distance metric used was the absolute value of the difference between the soil cadmium content of each soil sample after each conditioning, and several categories under the soil type were obtained. Several categories are obtained for each soil type, and all categories are regarded as several pollution categories.

3. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The specific method for obtaining the soil passivation degree under the soil cadmium content of each soil sample after each conditioning is as follows: For any soil sample, the difference between the soil cadmium content after the current conditioning and the soil cadmium content after the previous conditioning is taken as the soil cadmium content change for that conditioning. The change in soil cadmium content of the soil sample after each conditioning was obtained, and the ratio of the change in soil cadmium content of any conditioning to the standard deviation of the change in soil cadmium content of all conditionings was used as the soil passivation degree of that conditioning.

4. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The specific method for obtaining the restoration stability of the soil cadmium content after each conditioning is as follows: For any soil sample, at any conditioning time, under the soil cadmium content, the difference between the soil passivation degree of that conditioning time and the minimum value of the soil passivation degree of all conditioning times is obtained as the soil passivation deviation of that conditioning time; The ratio of the soil passivation deviation of this conditioning to the soil passivation deviation of the previous adjacent conditioning is taken as the repair stability of this conditioning.

5. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The specific method for obtaining the conditioning response degree of each soil sample under the soil cadmium content is as follows: The mean of the repair stability of all conditioning times of any soil sample was obtained as the average stability of the soil sample; The absolute value of the difference between the repair stability of any conditioning and the average stability is taken as the stability deviation of the repair, and the inverse proportional normalization result of the mean of the stability deviations of all conditionings of the soil sample is taken as the conditioning response degree of the soil sample.

6. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 2, characterized in that: The specific method for obtaining the response fluctuation degree of each pollution category under the soil cadmium content is as follows: Under the soil cadmium content, the conditioning response degree of any soil sample is assigned to its various conditionings to obtain the conditioning response degree of each conditioning of the soil sample; The ratio of the standard deviation of the conditioning response degree of all soil samples in any pollution category to the mean of the conditioning response degree is taken as the response fluctuation degree of the pollution category.

7. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The specific method for obtaining the remediation contribution of each pollution category under the soil cadmium content is as follows: Based on the response fluctuation degree of any pollution category under the soil cadmium content and the mean of the response fluctuation degrees of all pollution categories under the soil cadmium content, the remediation contribution degree of the pollution category under the soil cadmium content is obtained, and the remediation contribution degree is negatively correlated with the mean and the response fluctuation degree of the pollution category.

8. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The restoration contribution of each pollution category under the evaluation indicators of crop cadmium content, soil pH and conditioner cost is obtained in the following way: The pollution categories obtained based on soil cadmium content of other evaluation indicators are subsequently processed, including obtaining the soil passivation degree under the corresponding evaluation indicators after each soil sample conditioning, the conditioning response degree of each soil sample under the corresponding evaluation indicators, and the response fluctuation degree of each pollution category under each evaluation indicator, and then obtaining the remediation contribution of each pollution category under each evaluation indicator.

9. A comprehensive intelligent evaluation method for soil conditioning effect according to claim 1, characterized in that: The specific method for obtaining the grey correlation between each evaluation index in each pollution category and other evaluation indexes is as follows: For the Soil cadmium content under pollution category, obtain The soil cadmium content of each soil sample under each pollution category corresponding to the first conditioning was arranged in the order of collection to obtain the first Soil cadmium content sequence of pollution categories, obtain the Other evaluation index sequences for each pollution category; Calculate the correlation coefficient between the soil cadmium content sequence and the other evaluation index sequences as the first The local correlation coefficient between soil cadmium content in each pollution category and other evaluation indicators; Other evaluation indicators The restoration contribution of each pollution category is the weight, The local correlation coefficients of soil cadmium content and other evaluation indicators in each pollution category were weighted and averaged, and the obtained results were used as the soil cadmium content in the first The grey correlation between pollution categories and other evaluation indicators.

10. A comprehensive intelligent evaluation system for soil conditioning effects, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the processor implements the steps of a comprehensive intelligent evaluation method for soil conditioning effects as described in any one of claims 1-9.

Images