Saline-alkali soil ecological restoration effect evaluation method, system, equipment and medium

Abstract

The invention provides a saline-alkali soil ecological restoration effect evaluation method, system, equipment and medium, a target saline-alkali soil area is divided into a plurality of mixed pollution blocks, and the pollution distribution density of each mixed pollution block before and after ecological restoration of the target saline-alkali soil area is extracted; determining the toxicity response coefficient of each pollutant to the ecological environment in the target saline-alkali soil area, and determining the ecological restoration cost of each mixed pollution block according to all toxicity influence coefficients and the pollution distribution density of each mixed pollution block before and after ecological restoration. According to each ecological restoration cost and the ecological self-restoration capability of the target saline-alkali soil area, determining a restoration efficiency index of each mixed pollution block; and generating an evaluation report of the ecological restoration effect of the target saline-alkali soil area based on all the restoration efficiency indexes and the ecological restoration target of the target saline-alkali soil area. On the basis of the scheme, multi-dimensional quantitative spatial visualization evaluation of the saline-alkali soil remediation efficiency can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ecological restoration, more particularly, the present application relates to a method, system, device and medium for evaluating the effect of ecological restoration of saline-alkali soil. BACKGROUND

[0002] Saline-alkali soil is a kind of degraded land with excessive salt and alkaline substances in the surface layer of soil, which exceeds the normal tolerance range of plants. Its formation is closely related to factors such as drought climate, strong evaporation, high underground water level, high water salinity and unreasonable irrigation by human beings. High-salinity and alkaline environment leads to soil compaction and decline in fertility, and seriously inhibits seed germination and plant growth, forming a desert or sparse vegetation landscape.

[0003] In the traditional evaluation method of saline-alkali soil restoration, the evaluation dimension is single and simplified, only the changes of individual indicators such as total salt content or pH value are tracked, while the reality that saline-alkali soil is a complex environmental medium coexisting with multiple components such as salt, alkaline substances, heavy metals and organic pollutants is seriously ignored. Therefore, it is difficult to truly and comprehensively reflect the dynamic changes of the overall ecological risk of the region after the implementation of the restoration project. At the same time, in the traditional method, the unit concentration changes of different pollutants have the same ecological significance, but reducing the concentration of a unit of highly toxic heavy metal and reducing the concentration of a unit of commonly existing sodium ion have completely different values in reducing the risk of the ecological system and the required restoration cost. If these two changes are equally observed, simply averaged or added, it will inevitably lead to serious distortion of the evaluation results, and cannot scientifically quantify the actual contribution and efficiency of the restoration measures, which will eventually mislead the management decision. Therefore, how to realize the multi-dimensional quantitative spatial visualization evaluation of the restoration efficiency of saline-alkali soil, so as to improve the scientific nature of the decision-making of the ecological restoration project of saline-alkali soil, has become a difficult problem faced by the industry. SUMMARY

[0004] The present application provides a method, system, device and medium for evaluating the effect of ecological restoration of saline-alkali soil, which can realize the multi-dimensional quantitative spatial visualization evaluation of the restoration efficiency of saline-alkali soil, so as to improve the scientific nature of the decision-making of the ecological restoration project of saline-alkali soil.

[0005] In a first aspect, the present application provides a method for evaluating the effect of ecological restoration of saline-alkali soil, comprising: obtaining distribution information of various types of pollutants in a target saline-alkali region before ecological restoration, and collecting environmental pollution data of the target saline-alkali region before and after ecological restoration; dividing the target saline-alkali region into multiple mixed pollution blocks based on the distribution density of various types of pollutants in the distribution information, and then extracting the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration from the environmental pollution data; Determine the toxicity response coefficients of various pollutants to the ecological environment in the target saline-alkali land area, determine the ecological restoration costs of each mixed pollution block through all toxicity impact coefficients and the difference in pollution distribution density before and after ecological restoration in each mixed pollution block, and then determine the restoration efficiency indicators of each mixed pollution block based on the ecological restoration costs and the ecological self-recovery capacity of the target saline-alkali land area; An evaluation report on the ecological restoration effect of the target saline-alkali land area is generated based on all restoration efficiency indicators and the ecological restoration goals of the target saline-alkali land area.

[0006] In some embodiments, dividing the target saline-alkali land area into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information specifically includes: Based on the geographic information of the target saline-alkali land area, the distribution density of each type of pollutant in the distribution information is spatially interpolated to obtain a plurality of distribution grid units; Convert all distribution grid cells into distribution grid maps of various pollutants; The distribution grid maps of various pollutants are layered to form a multi-dimensional pollution data cube of the target saline-alkali land area; Pollutant concentrations are clustered for all distribution grid cells in the multidimensional pollution data cube to obtain a plurality of mixed pollution blocks.

[0007] In some embodiments, extracting the pollution distribution density of each mixed pollution block in the target saline-alkali land area before and after ecological restoration from the environmental pollution data specifically includes: For each mixed pollution block in the target saline-alkali land area, the concentration values ​​of various pollutants in the mixed pollution block before and after ecological restoration are obtained from the environmental pollution data; The pollution distribution density of the mixed pollution block in the target saline-alkali land area before ecological restoration is determined by all concentration values ​​before ecological restoration; The pollution distribution density of the mixed pollution blocks in the target saline-alkali land area after ecological restoration is determined by all concentration values ​​after ecological restoration, and then the pollution distribution density of each mixed pollution block in the target saline-alkali land area before and after ecological restoration is obtained.

[0008] In some embodiments, determining the toxicity response coefficients of various pollutants to the ecological environment in the target saline-alkali land area specifically includes: For each type of pollutant, obtain the basic toxicological parameters of the pollutant; The basic toxicological parameters are semi-effect matched with the regional environment of the target saline-alkali land area to obtain the toxicity response coefficient of the pollutants to the ecological environment in the target saline-alkali land area, and then the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali land area is obtained.

[0009] In some embodiments, the ecological restoration cost of each mixed pollution block is determined by all toxic influence coefficients and the difference in pollution distribution density of each mixed pollution block before and after ecological restoration, and specifically includes: For each mixed pollution block, the pollution reduction amount of each type of pollutant in the mixed pollution block is determined by the difference in pollution distribution density of the mixed pollution block before and after ecological restoration. The pollution reduction amount of each type of pollutant is cost-weighted using all toxic influence coefficients to obtain the ecological restoration cost of the mixed pollution block, and further to obtain the ecological restoration cost of each mixed pollution block.

[0010] In some embodiments, the restoration efficiency index of each mixed pollution block is determined according to each ecological restoration cost and the ecological self-recovery ability of the target saline area, and specifically includes: For each mixed pollution block, the ecological self-recovery ability of the target saline area is obtained. The restoration efficiency index of the mixed pollution block is determined by the ecological self-recovery ability and the ecological restoration cost of the mixed pollution block, and further to obtain the restoration efficiency index of each mixed pollution block.

[0011] In some embodiments, the evaluation report of the ecological restoration effect of the target saline area is generated based on all restoration efficiency indexes and the ecological restoration target of the target saline area, and specifically includes: For each mixed pollution block, the ecological restoration target of the target saline area is obtained. The ecological restoration target and the restoration efficiency index of the mixed pollution block are compared and mapped to obtain the restoration efficiency level of the mixed pollution block, and further to obtain the restoration efficiency level of each mixed pollution block. All restoration efficiency levels are combined with the spatial geographic information of each mixed pollution block to generate the evaluation report of the ecological restoration effect of the target saline area.

[0012] In a second aspect, the present application provides a saline land ecological restoration effect evaluation system, which comprises an evaluation unit, and the evaluation unit comprises: An acquisition module is configured to acquire distribution information of each type of pollutant in a target saline area before ecological restoration, and collect environmental pollution data of the target saline area before and after ecological restoration. A processing module is configured to divide the target saline area into a plurality of mixed pollution blocks based on the distribution density of each type of pollutant in the distribution information, and further extract the pollution distribution density of each mixed pollution block of the target saline area before and after ecological restoration from the environmental pollution data. The processing module is further configured to determine a toxicity response coefficient of each type of pollutant to an ecological environment in the target saline region, determine an ecological restoration cost of each mixed pollution block based on all the toxicity influence coefficients and the difference in pollution distribution density of each mixed pollution block before and after ecological restoration, and then determine a restoration efficiency index of each mixed pollution block based on each ecological restoration cost and the ecological self-recovery ability of the target saline region. The execution module is configured to generate an evaluation report of the ecological restoration effect of the target saline region based on all the restoration efficiency indexes and the ecological restoration target of the target saline region.

[0013] In a third aspect, the present application provides a computer device, which comprises a memory and a processor, the memory is configured to store a computer program, and the processor is configured to call and run the computer program from the memory, so that the computer device executes the saline land ecological restoration effect evaluation method described above.

[0014] In a fourth aspect, the present application provides a computer readable storage medium, which stores instructions or codes, when the instructions or codes are run on a computer, the computer executes the saline land ecological restoration effect evaluation method described above.

[0015] The technical scheme provided by the embodiments of the present application has the following beneficial effects: In the saline land ecological restoration effect evaluation method, system, device and medium provided by the present application, the distribution information of each type of pollutant in the target saline region before ecological restoration is obtained, and the environmental pollution data of the target saline region before and after ecological restoration is collected; the target saline region is divided into a plurality of mixed pollution blocks based on the distribution density of each type of pollutant in the distribution information, and then the pollution distribution density of each mixed pollution block of the target saline region before and after ecological restoration is extracted from the environmental pollution data; the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline region is determined, the ecological restoration cost of each mixed pollution block is determined based on all the toxicity influence coefficients and the difference in pollution distribution density of each mixed pollution block before and after ecological restoration, and then the restoration efficiency index of each mixed pollution block is determined based on each ecological restoration cost and the ecological self-recovery ability of the target saline region; and an evaluation report of the ecological restoration effect of the target saline region is generated based on all the restoration efficiency indexes and the ecological restoration target of the target saline region.

[0016] Therefore, in the present application, based on all the repair effectiveness indicators and the ecological restoration targets of the target saline-alkali region, an evaluation report of the ecological restoration effect of the target saline-alkali region is generated. First, the pollution distribution density is determined to obtain a quantitative value that can scientifically represent the spatial heterogeneity of the composite pollution, realizing the upgrade of the evaluation dimension from a single indicator to multi-dimensional integration and from a point to a plane. Through spatial interpolation and multi-source data fusion, discrete point concentration data is converted into continuous spatial distribution raster maps, and then a multi-dimensional pollution data cube is constructed through layer superposition. Each mixed pollution block has a vector containing the density values of all target pollutants. The pollution distribution density accurately captures the essential characteristics and spatial heterogeneity of the composite pollution of the saline-alkali land, so that the evaluation is no longer based on the average value of the entire region, but on each homogeneous unit with unique pollution characteristics. This solves the defects of traditional methods in terms of single dimension and neglect of spatial distribution, and can realize the indispensable data cornerstone of spatial visualization evaluation. Then, the repair effectiveness indicators are determined to obtain the efficiency ratio that reflects the net contribution of artificial restoration without natural interference, thereby realizing the accurate measurement of the real benefits of the restoration project. The toxicity influence coefficient and the ecological self-recovery capacity are introduced as the reference line, which comprehensively considers the toxicity influence degree of different pollutants on the saline-alkali land, effectively removes the contribution of natural factors such as climate and hydrology to pollution reduction, and clearly defines the regional range where the restoration effect is better than, equivalent to, or worse than the natural restoration process. This provides a criterion for management decision-making that can exclude interference and reflect the real project benefits. Based on the spatial expression of the index, decision-makers can accurately identify the priority treatment area and the ineffective investment area, optimize resource allocation strategies, and improve the scientificity and input-output efficiency of the restoration project, ultimately promoting the transformation of saline-alkali land ecological management from extensive governance to fine and intelligent decision-making. In summary, based on the above scheme, multi-dimensional quantitative spatial visualization evaluation of saline-alkali land restoration effectiveness can be realized, thereby improving the decision-making scientificity of the saline-alkali land ecological restoration project. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without any creative labor.

[0018] Figure 1 is an exemplary flowchart of a saline-alkali land ecological restoration effect evaluation method according to some embodiments of the present application; Figure 2 is a flowchart of generating an evaluation report according to some embodiments of the present application; Figure 3is a schematic structural diagram of an evaluation unit according to some embodiments of the present application; Figure 4 It is a structural diagram of a computer device for implementing a method for evaluating the effect of saline-alkali land ecological restoration according to some embodiments of the present application. DETAILED DESCRIPTION

[0019] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] refer to Figure 1 , which is an exemplary flow chart of a saline-alkali land ecological restoration effect evaluation method according to some embodiments of the present application. The saline-alkali land ecological restoration effect evaluation method mainly includes the following steps: In step 101, the distribution information of various pollutants in the target saline-alkali land area before ecological restoration is obtained, and the environmental pollution data of the target saline-alkali land area before and after ecological restoration are collected.

[0021] It should be noted that, in this application, distribution information refers to a data set of the concentration, location and change trend of various pollutants within the spatial range of the target area, and the pollutants include salt, sodium ions, chloride ions, pH value and heavy metals; in specific implementation, first, suspected areas with different degrees of salinization are identified based on drone remote sensing images; then, ground sampling points are laid out according to the standard grid method, and precise positioning is performed using the global positioning system to collect surface and soil samples at different depths. All samples are sent to the laboratory and analyzed for physical and chemical properties according to national standard methods to detect the specific concentrations of various pollutants; finally, using geographic information system technology, the laboratory analysis results are matched with the spatial positions of the sampling points, and a spatial interpolation algorithm is used to generate a data set that can continuously and intuitively display the distribution density of various pollutants, so that the set of all distribution densities is used as the distribution information of various pollutants in the target saline-alkali land area before ecological restoration, wherein the distribution density in the distribution information is the concentration value of various pollutants per unit area.

[0022] In addition, it should be noted that in the present application, the environmental pollution data refers to the pollution concentration measured data obtained from the fixed monitoring points before and after the ecological restoration implementation, which can be directly compared; in specific implementation, the fixed monitoring points are set and periodically monitored to achieve, before the ecological restoration project starts, i.e. in the sampling points of the distribution information, representative points are selected, permanent marker posts are set as long-term monitoring points; after the completion of the restoration project, the fixed points are visited again, soil samples are collected at the same depth standard in the same season, and sent to the same laboratory for detection by using the same national standard method, so that the set of concentration values of various pollutants in each sampling point can be obtained as the environmental pollution data of the target saline area before and after the ecological restoration.

[0023] In step 102, the target saline area is divided into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information, and then the pollution distribution density of each mixed pollution block of the target saline area before and after the ecological restoration is extracted from the environmental pollution data.

[0024] In some embodiments, the target saline area can be divided into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information by using the following steps: The distribution density of various pollutants in the distribution information is spatially interpolated based on the geographic information of the target saline area to obtain a plurality of distribution grid units; The distribution grid units are converted into distribution grid maps of various pollutants; The distribution grid maps of various pollutants are superimposed to form a multi-dimensional pollution data cube of the target saline area; The pollution concentration of all distribution grid units in the multi-dimensional pollution data cube is clustered to obtain a plurality of mixed pollution blocks.

[0025] It should be noted that in the present application, the mixed pollution block is a set of distribution grid units with similar composite pollution characteristics; the distribution grid unit is a basic calculation unit for constructing the pollution spatial distribution model of the target saline area; the distribution grid map is a spatial distribution image representing the concentration of a single pollutant, which is arranged and spliced according to the geographical coordinates of the distribution grid unit; the multi-dimensional pollution data cube is a data structure for comprehensively representing the composite pollution condition of multiple pollutants at the same geographical location.

[0026] In a specific implementation, first, the distribution density of each type of pollutant in each distribution information in the distribution information is arranged according to the geographic information of the target saline area, and then used as an input source of a spatial interpolation algorithm, for example, a Kriging interpolation method. The Kriging interpolation method can calculate the optimal estimate value of each unknown point according to the spatial correlation of the sampling points. The target saline area is divided into regular grids, and the distribution density of pollutants at the center of each regular grid is calculated by using the Kriging interpolation method. Each regular grid with an estimated value is taken as a distribution grid unit, and all units are arranged in order to cover the target saline area, so that a plurality of distribution grid units are obtained. Second, for each type of pollutant, the distribution density of the pollutant is obtained from each distribution grid unit, and all the distribution densities are arranged according to the spatial position of each distribution grid unit to obtain a distribution grid map of the pollutant. In this way, the distribution grid map of each pollutant is obtained, which is a layer describing the distribution density of the pollutant. Then, each distribution grid map of a single pollutant is taken as a layer, and the geographic range and grid unit size of all layers are ensured to be completely aligned. According to the spatial coordinates of each grid unit, the concentration values of multiple pollutants at the same coordinate position in different layers are extracted and combined together to form a multivariate data group as a multidimensional pollution data cube of the target saline area. Finally, the multidimensional pollution data cube is taken as an input, and each grid unit is taken as a sample point. The concentration values of multiple pollutants contained in the sample point form a feature vector of the sample point. An algorithm such as K-means clustering can be used to calculate the similarity distance of the feature vectors of all sample points in the multidimensional space, and automatically group them according to the distance. The grid units in the same group and connected or adjacent in space jointly form a mixed pollution block, and a plurality of mixed pollution blocks are obtained.

[0027] In some embodiments, the pollution distribution density of each mixed pollution block of the target saline area before and after ecological restoration can be extracted from the environmental pollution data by the following steps: For each mixed pollution block in the target saline area, the concentration values of each type of pollutant in the mixed pollution block before and after ecological restoration are obtained from the environmental pollution data. The pollution distribution density of the mixed pollution block of the target saline area before ecological restoration is determined by all the concentration values before ecological restoration. The pollution distribution density of the mixed pollution block of the target saline area after ecological restoration is determined by all the concentration values after ecological restoration, and the pollution distribution density of each mixed pollution block of the target saline area before and after ecological restoration is obtained.

[0028] It should be noted that in the present application, the pollution distribution density is a composite index of the average concentration level of all pollutants in each mixed pollution block and the spatial distribution dispersion degree; in specific implementation, first, for each mixed pollution block in the target saline-alkali region, the concentration values of each type of pollutant at each sampling point in the mixed pollution block before and after ecological restoration are obtained from the environmental pollution data, so that the average of the concentration values of all sampling points is taken as the concentration value of the corresponding pollutant, and thus the concentration values of each type of pollutant in the mixed pollution block before and after ecological restoration are obtained, the concentration value representing the specific numerical value of the absolute content of a certain type of pollutant in unit mass or volume of soil; then, the standard deviation and mean of all concentration values before ecological restoration are calculated, so that the pollution distribution density of the mixed pollution block in the target saline-alkali region before ecological restoration is calculated using the following formula, i.e. pollution distribution density = mean × (1 + standard deviation), and thus the pollution distribution density of the mixed pollution block in the target saline-alkali region before ecological restoration is obtained; finally, the standard deviation and mean of all concentration values after ecological restoration are calculated, so that the pollution distribution density of the mixed pollution block in the target saline-alkali region after ecological restoration is calculated using the following formula, i.e. pollution distribution density = mean × (1 + standard deviation), and thus the pollution distribution density of the mixed pollution block in the target saline-alkali region after ecological restoration is obtained.

[0029] In step 103, the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region is determined, the ecological restoration cost of each mixed pollution block is determined by all toxicity influence coefficients and the difference characteristics of the pollution distribution density of each mixed pollution block before and after ecological restoration, and then the restoration efficiency index of each mixed pollution block is determined according to the ecological restoration cost of each mixed pollution block and the ecological self-recovery ability of the target saline-alkali region.

[0030] In some embodiments, the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region can be realized by the following steps: For each type of pollutant, the basic toxicology parameter of the pollutant is obtained; The basic toxicology parameter is matched with the regional environment of the target saline-alkali region for semi-effect, and the toxicity response coefficient of the pollutant to the ecological environment in the target saline-alkali region is obtained, and thus the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region is obtained.

[0031] It should be noted that in the present application, the toxicity response coefficient is a quantitative index reflecting the actual ecological risk of each type of pollutant in the target saline-alkali region environment; the basic toxicology parameter is a benchmark value for quantitatively describing the harmful effect intensity of each type of pollutant on organisms.

[0032] In a specific implementation, first, for each type of pollutant, the basic toxicology parameters of each type of pollutant are queried from a national standard database, and the basic toxicology parameters include the semi-lethal concentration, the semi-effect concentration, and the predicted no-effect concentration; then, an environmental assessment model based on species sensitivity distribution is initialized, the basic toxicology parameters are taken as the toxicity input benchmark in the environmental assessment model, and the regional environment of the target saline area is taken as the regional correction factor in the environmental assessment model, the environmental assessment model is used to assess the influence degree of the pollutant on the ecological environment in the target saline area, so that the assessment result is taken as the toxicity response coefficient of the pollutant on the ecological environment in the target saline area, and thus the toxicity response coefficient of each type of pollutant on the ecological environment in the target saline area can be obtained.

[0033] It should be noted that in the present application, the environmental assessment model is a multi-level assessment mechanism based on the combination of the species sensitivity distribution theory in ecological toxicology and the biological availability correction of regional environmental factors. The environmental assessment model first takes the semi-effect concentration, the predicted no-effect concentration and other basic toxicology parameters of multiple pollutants obtained by querying as input benchmarks representing the inherent toxicity. Subsequently, the model introduces the key environmental attributes of the target saline area (such as soil pH value, organic matter content, cation exchange capacity, and clay mineral composition) as regional correction factors, quantifies the regulatory effect of these environmental conditions on the biological availability of pollutants by establishing a coupling function of dose-effect relationship and environmental chemical behavior, for example, in high-pH and organic-rich saline soil, heavy metal ions are prone to precipitation or complexation reactions, and their biological availability and apparent toxicity are significantly reduced. The environmental assessment model corrects the basic toxicity value regionally by constructing a response surface or weighting algorithm based on experimental data, and finally generates a toxicity response coefficient that accurately reflects the actual ecological risk of pollutants under specific environmental conditions, thereby realizing the scientific transformation from laboratory theoretical toxicity to site actual toxicity.

[0034] In some embodiments, the ecological restoration cost of each mixed pollution block can be determined by using all toxicity influence coefficients and the difference characteristics of pollution distribution density of each mixed pollution block before and after ecological restoration, which can be implemented by the following steps: For each mixed pollution block, the pollution reduction amount of each type of pollutant in the mixed pollution block is determined by the difference characteristics of pollution distribution density of the mixed pollution block before and after ecological restoration; The pollution reduction amount of each type of pollutant is cost-weighted using all toxicity influence coefficients to obtain the ecological restoration cost of the mixed pollution block, and thus the ecological restoration cost of each mixed pollution block is obtained.

[0035] It should be noted that in the present application, the ecological restoration cost is a quantitative value for measuring the equivalent effort paid for achieving overall ecological improvement in each mixed pollution block; in specific implementation, firstly, for each mixed pollution block, the difference between the pollution distribution density of each type of pollutant in the mixed pollution block before and after ecological restoration is calculated as the pollution reduction amount of the corresponding pollutant in the mixed pollution block, that is, the pollution reduction amount of each type of pollutant in the mixed pollution block is obtained, which is a quantitative value for evaluating the restoration effect achieved by the restoration measures implemented in each mixed pollution block for each type of pollutant; then, the toxicity influence coefficient is taken as the influence weight, and the weighted sum of all pollution reduction amounts is calculated as the ecological restoration cost of the mixed pollution block, and the ecological restoration cost of each mixed pollution block can be obtained through the above method.

[0036] In some embodiments, the determination of the restoration efficiency index of each mixed pollution block according to the ecological self-restoration ability of the target saline area and the ecological restoration cost of each mixed pollution block can be implemented by the following steps: For each mixed pollution block, the ecological self-restoration ability of the target saline area is obtained. The restoration efficiency index of the mixed pollution block is determined by the ecological self-restoration ability and the ecological restoration cost of the mixed pollution block, and the restoration efficiency index of each mixed pollution block is obtained.

[0037] It should be noted that in the present application, the restoration efficiency index is a quantitative index for evaluating the efficiency of saline land ecological restoration, if the restoration efficiency index is greater than 1, it indicates that the artificial restoration effect is significant and exceeds natural restoration; if the restoration efficiency index is equal to 1, it means that the artificial effect is comparable to the natural effect; if the restoration efficiency index is less than 1, it means that the artificial restoration does not achieve the expected effect and is not as good as natural restoration; in specific implementation, firstly, for each mixed pollution block, the ecological self-restoration ability of the target saline area is obtained from the control console of the target saline land, which is the inherent ability of the target saline area ecosystem to mitigate, resist or partially restore pollution damage relying on its natural processes without human active intervention, the role of ecological self-restoration ability is to provide an objective natural background reference for quantifying the real contribution of artificial restoration and avoid overestimating the effect of artificial restoration; then, the ratio of the ecological restoration cost of the mixed pollution block to the ecological self-restoration ability is taken as the restoration efficiency index of the mixed pollution block, and the restoration efficiency index of each mixed pollution block can be obtained through the above method.

[0038] In step 104, an evaluation report of the ecological restoration effect of the target saline area is generated based on all the restoration efficiency indexes and the ecological restoration target of the target saline area.

[0039] In some embodiments, an evaluation report of the ecological restoration effect of the target saline area is generated based on all the restoration performance indicators and the ecological restoration targets of the target saline area, and the evaluation report is referenced Figure 2 The figure is a flowchart of generating the evaluation report in some embodiments of the present application. In the present embodiment, the evaluation report can be generated by the following steps: In step 1041, the ecological restoration targets of the target saline area are obtained for each mixed pollution block. In step 1042, the ecological restoration targets and the restoration performance indicators of the mixed pollution block are compared and mapped to obtain the restoration performance grade of the mixed pollution block, and then the restoration performance grade of each mixed pollution block is obtained. In step 1043, all the restoration performance grades are combined with the spatial geographic information of each mixed pollution block to generate the evaluation report of the ecological restoration effect of the target saline area.

[0040] It should be noted that in the present application, the evaluation report is a comprehensive analysis report integrating the quantitative evaluation results, spatial distribution, and grade evaluation conclusions of all the mixed pollution blocks. The ecological restoration target refers to the quantitative standard of various environmental indicators and ecological functions that are set in advance before the ecological restoration project is started and are expected to be achieved after the completion of the project. The role of the ecological restoration target is to provide an objective and unified benchmark and success criterion for the evaluation of the restoration effect. The restoration performance grade is a qualitative evaluation level of the evaluation results of the restoration effect of each mixed pollution block.

[0041] In a specific implementation, first, for each mixed pollution block, the ecological restoration target of the target saline-alkali region is obtained from official technical documents such as the feasibility study report of the project, the environmental impact assessment file or the remediation engineering design scheme; then, taking the ecological restoration target as the core benchmark, a plurality of continuous numerical intervals are divided upwards and downwards, and each numerical interval is assigned a grade label, for example: greater than or equal to 1.5 is “excellent”, greater than or equal to 1.2 and less than 1.5 is “good”, greater than or equal to 1.0 and less than 1.2 is “up to standard”, and less than 1.0 is “not up to standard”; the restoration efficiency index of the mixed pollution block is compared with each numerical interval, and the grade label corresponding to the interval range in which the restoration efficiency index falls is taken as the restoration efficiency grade of the mixed pollution block, and the restoration efficiency grade of each mixed pollution block can be obtained through the above method; finally, the restoration efficiency grade result of each mixed pollution block is associated with the spatial boundary polygon corresponding thereto in terms of attribute, different colors are filled in blocks of different efficiency grades by using a drawing software, and a “spatial distribution grade map of ecological restoration effect” which is easy to see at a glance is generated, meanwhile, the area, proportion and other data of each grade block are automatically counted, and the drawing, statistical data, key conclusions and analysis texts are automatically filled in a structured report template to form a comprehensive evaluation report document which is illustrated with pictures, contains spatial distribution, quantitative statistics and qualitative evaluation.

[0042] In addition, another aspect of the present application provides a saline-alkali soil ecological restoration effect evaluation system in some embodiments. The saline-alkali soil ecological restoration effect evaluation system comprises an evaluation unit, which is configured to Figure 3 The figure is a structural schematic diagram of the evaluation unit according to some embodiments of the present application. The evaluation unit comprises an acquisition module 201, a processing module 202 and an execution module 203, which are described as follows respectively. The acquisition module 201 is mainly used for acquiring the distribution information of various pollutants in the target saline-alkali region before ecological restoration, and collecting the environmental pollution data of the target saline-alkali region before and after ecological restoration in the present application. The processing module 202 is used for dividing the target saline-alkali region into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information, and then extracting the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration from the environmental pollution data in the present application. It should be noted that the processing module 202 is also used for determining the toxicity response coefficient of various pollutants to the ecological environment in the target saline-alkali region, determining the ecological restoration cost of each mixed pollution block through all the toxicity influence coefficients and the difference characteristics of the pollution distribution density of each mixed pollution block before and after ecological restoration, and then determining the restoration efficiency index of each mixed pollution block according to each ecological restoration cost and the ecological self-recovery ability of the target saline-alkali region. The execution module 203 is mainly used for generating an evaluation report of the ecological restoration effect of the target saline-alkali region based on all the restoration efficiency indexes and the ecological restoration target of the target saline-alkali region.

[0043] The above describes examples of the method, system, device and medium for evaluating the ecological restoration effect of saline-alkali soil provided by the embodiments of the present application in detail. It can be understood that the corresponding device contains the hardware structure and / or software module for executing the corresponding functions in order to realize the above functions. Those skilled in the art should easily realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0044] In some embodiments, the present application also provides a computer device, which comprises a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned method for evaluating the ecological restoration effect of saline-alkali soil.

[0045] In some embodiments, with reference to Figure 4 The dashed line in the figure indicates that the unit or the module is optional. The figure is a structural schematic diagram of a computer device for implementing the method for evaluating the ecological restoration effect of saline-alkali soil according to the embodiments of the present application. The method for evaluating the ecological restoration effect of saline-alkali soil described in the above embodiments can be implemented by the computer device shown in the figure, which comprises at least one processor 301, a memory 302 and at least one communication unit 305. The computer device can be a terminal device or a server or a chip. Figure 4

[0046] The processor 301 can be a general-purpose processor or a special-purpose processor. For example, the processor 301 can be a central processing unit (CPU), which can be used to control the computer device, execute the software program, process the data of the software program, and the computer device can further comprise a communication unit 305 to realize the input (reception) and output (transmission) of signals.

[0047] ​For example, the computer device can be a chip, the communication unit 305 can be an input and / or output circuit of the chip, or the communication unit 305 can be a communication interface of the chip, which can be a component of a terminal device or a network device or other device.

[0048] For another example, the computer device can be a terminal device or a server, and the communication unit 305 can be a transceiver of the terminal device or the server, or the communication unit 305 can be a transceiver circuit of the terminal device or the server.

[0049] The computer device can include one or more memories 302, which store programs 304 that can be run by the processor 301 to generate instructions 303, so that the processor 301 performs the method described in the above method embodiments according to the instructions 303. Alternatively, the memory 302 can also store data (such as a target audit model). Alternatively, the processor 301 can also read the data stored in the memory 302, which can be stored in the same storage address as the program 304, or can be stored in a different storage address from the program 304.

[0050] The processor 301 and the memory 302 can be separately arranged, or can be integrated together, for example, on a system on chip (SOC) of the terminal device.

[0051] It should be understood that each step of the above method embodiments can be completed by a logic circuit in the form of hardware or an instruction in the form of software in the processor 301, which can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, such as discrete gates, transistor logic, or discrete hardware components.

[0052] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer-usable program code.

[0053] For example, in some embodiments, the present application also provides a computer readable storage medium, wherein instructions or codes are stored in the computer readable storage medium, and when the instructions or codes are run on a computer, the computer is caused to perform the above-mentioned method for evaluating the ecological restoration effect of saline-alkali soil.

[0054] Although preferred embodiments of the application have been described, those skilled in the art will be able to make additional modifications and variations to these embodiments without departing from the spirit and scope of the application. Accordingly, the appended claims are intended to encompass all such modifications and variations as falling within the scope of the application.

[0055] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, the present application is also intended to include these modifications and variations if they fall within the scope of the claims of the present application and their equivalents.

Claims

1. A method for evaluating the ecological restoration effect of saline-alkali soil, characterized in that, The method comprises the following steps: obtaining distribution information of various pollutants in the target saline-alkali region before ecological restoration, and collecting environmental pollution data of the target saline-alkali region before and after ecological restoration; dividing the target saline-alkali region into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information, and then extracting the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration from the environmental pollution data; determining the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region, determining the ecological restoration cost of each mixed pollution block by all toxicity influence coefficients and the difference characteristics of the pollution distribution density of each mixed pollution block before and after ecological restoration, and then determining the restoration efficiency index of each mixed pollution block according to the ecological restoration cost of each mixed pollution block and the ecological self-recovery ability of the target saline-alkali region; generating an evaluation report of the ecological restoration effect of the target saline-alkali region based on all restoration efficiency indexes and the ecological restoration target of the target saline-alkali region.

2. The method of claim 1, wherein, The step of dividing the target saline-alkali region into a plurality of mixed pollution blocks based on the distribution density of various pollutants in the distribution information specifically comprises: spatially interpolating the distribution density of various pollutants in the distribution information based on the geographic information of the target saline-alkali region to obtain a plurality of distribution grid units; converting all distribution grid units into a distribution grid map of various pollutants; superimposing the distribution grid map of various pollutants to form a multi-dimensional pollution data cube of the target saline-alkali region; performing pollutant concentration clustering on all distribution grid units in the multi-dimensional pollution data cube to obtain a plurality of mixed pollution blocks.

3. The method of claim 1, wherein, The step of extracting the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration from the environmental pollution data specifically comprises: for each mixed pollution block in the target saline-alkali region, obtaining the concentration values of various pollutants in the mixed pollution block before and after ecological restoration from the environmental pollution data; determining the pollution distribution density of the mixed pollution block of the target saline-alkali region before ecological restoration by all concentration values before ecological restoration; determining the pollution distribution density of the mixed pollution block of the target saline-alkali region after ecological restoration by all concentration values after ecological restoration, and then obtaining the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration.

4. The method of claim 1, wherein, The step of determining the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region specifically comprises: for each type of pollutant, obtaining the basic toxicological parameters of the pollutant; performing semi-effect matching between the basic toxicological parameters and the regional environment of the target saline-alkali region to obtain the toxicity response coefficient of the pollutant to the ecological environment in the target saline-alkali region, and then obtaining the toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region.

5. The method of claim 1, wherein, The step of determining the ecological restoration cost of each mixed pollution block by all toxicity influence coefficients and the difference characteristics of the pollution distribution density of each mixed pollution block before and after ecological restoration specifically comprises: for each mixed pollution block, determining the pollution reduction amount of each type of pollutant in the mixed pollution block by the difference characteristics of the pollution distribution density of the mixed pollution block before and after ecological restoration; The ecological restoration costs of the mixed pollution blocks are obtained by cost-weighting the pollution reduction amounts of the various types of pollutants using all the toxicity influence coefficients.

6. The method of claim 1, wherein, The restoration efficiency indexes of the various mixed pollution blocks are determined according to the ecological self-recovery abilities of the target saline-alkali region and the ecological restoration costs of the various mixed pollution blocks, and specifically include: For each mixed pollution block, the ecological self-recovery ability of the target saline-alkali region is obtained. The restoration efficiency indexes of the various mixed pollution blocks are determined according to the ecological self-recovery abilities of the target saline-alkali region and the ecological restoration costs of the various mixed pollution blocks.

7. The method of claim 1, wherein, The evaluation report of the ecological restoration effect of the target saline-alkali region is generated based on all the restoration efficiency indexes and the ecological restoration target of the target saline-alkali region, and specifically includes: For each mixed pollution block, the ecological restoration target of the target saline-alkali region is obtained. The restoration efficiency indexes of the various mixed pollution blocks are determined according to the ecological self-recovery abilities of the target saline-alkali region and the ecological restoration costs of the various mixed pollution blocks. All the restoration efficiency indexes are combined with the spatial geographic information of the various mixed pollution blocks to generate the evaluation report of the ecological restoration effect of the target saline-alkali region.

8. A system for evaluating the effect of ecological restoration of saline-alkali land, the system comprising an evaluation unit, characterized in that, The evaluation unit includes: An acquisition module is configured to acquire distribution information of various types of pollutants in the target saline-alkali region before ecological restoration, and collect environmental pollution data of the target saline-alkali region before and after ecological restoration; A processing module is configured to divide the target saline-alkali region into a plurality of mixed pollution blocks based on the distribution density of various types of pollutants in the distribution information, and then extract the pollution distribution density of each mixed pollution block of the target saline-alkali region before and after ecological restoration from the environmental pollution data; The processing module is further configured to determine a toxicity response coefficient of each type of pollutant to the ecological environment in the target saline-alkali region, determine the ecological restoration cost of each mixed pollution block by using all the toxicity influence coefficients and the difference features of the pollution distribution density of each mixed pollution block before and after ecological restoration, and then determine the restoration efficiency index of each mixed pollution block according to the ecological self-recovery ability of the target saline-alkali region and the ecological restoration cost of each mixed pollution block. An execution module is configured to generate an evaluation report of the ecological restoration effect of the target saline-alkali region based on all the restoration efficiency indexes and the ecological restoration target of the target saline-alkali region.

9. A computer device, comprising: The computer device includes a memory and a processor, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the saline-alkali land ecological restoration effect evaluation method in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores instructions or codes, and when the instructions or codes are run on the computer, the computer executes the saline-alkali land ecological restoration effect evaluation method in any one of claims 1 to 7.

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