A land reclamation analysis method and system for industrial and mining areas

Abstract

The application discloses a land reclamation analysis method and system for industrial and mining areas, relates to the technical field of land reclamation analysis, and comprises the following steps: collecting geographic information data of a target industrial and mining area, and analyzing land degradation attributes and future reclamation behavior prediction results of the target industrial and mining area based on the geographic information data of the target industrial and mining area; generating external environmental influence factors based on the land degradation attributes and future reclamation behavior prediction; combining ecological restoration parameters and land reclamation standards to calculate reclamation potential values of the target industrial and mining area; and generating a reclamation feasibility score and outputting a recommended reclamation scheme atlas through a comprehensive evaluation decision engine. The application has the advantages that: multi-dimensional indexes of environmental risks and restoration potentials are integrated, and a recommended reclamation scheme atlas with a significantly optimized rate is automatically generated, so that the feasibility and ecological adaptability of reclamation planning are improved, and the success rate of reclamation of industrial and mining wastelands and land utilization efficiency are effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of land reclamation analysis, in particular to a land reclamation analysis method and system for industrial and mining areas. BACKGROUND

[0002] With the development of industrial and mining resources, a large number of industrial and mining areas are facing serious land degradation problems after the end of mining activities, including soil pollution, vegetation destruction, terrain damage and loss of ecosystem function. The legacy pollution in these areas not only continues to spread and threaten the surrounding environment, such as water and soil pollution transfer, but also hinders the reuse of land due to landscape fragmentation and potential safety risks.

[0003] Traditional land reclamation evaluation methods often focus on a single indicator, such as soil fertility or terrain flatness, and lack comprehensive analysis of complex external environmental impacts such as pollutant dynamic migration and surrounding land use conflicts, and lack the ability to predict future reclamation process dynamics.

[0004] Existing reclamation planning techniques usually rely on static data to evaluate reclamation potential, making it difficult to quantify the coupling effects between pollution diffusion and ecological restoration, such as the inhibition of pollutant deposition on reconstructed vegetation, and rarely consider the changes in reclamation behavior over time, such as pollution control measures at different reclamation stages and dynamic correction of environmental impact indicators.

[0005] At the same time, spatial constraints such as ecological protection zoning and agricultural development planning are not effectively integrated at the decision-making level, resulting in recommended reclamation schemes often facing implementation risks, and there is an urgent need for an analysis method that integrates multi-source geographic information, dynamically predicts the impact of reclamation behavior, and systematically evaluates the synergistic effects of external constraints and restoration potential, to provide scientific and precise reclamation decision support for industrial and mining wastelands. SUMMARY

[0006] To solve the above technical problems, a land reclamation analysis method and system for industrial and mining areas are provided, which solves the problem that traditional land reclamation evaluation methods often focus on a single indicator, such as soil fertility or terrain flatness, lack comprehensive analysis of complex external environmental impacts such as pollutant dynamic migration and surrounding land use conflicts, and lack the ability to predict future reclamation process dynamics.

[0007] To achieve the above purposes, the technical scheme adopted by the present application is:

[0008] A land reclamation analysis method for industrial and mining areas, comprising:

[0009] Collecting geographic information data of the target industrial and mining area, and analyzing the land degradation attributes and future reclamation behavior prediction results of the target industrial and mining area based on the geographic information data of the target industrial and mining area;

[0010] Based on the land degradation attribute and the future reclamation behavior prediction, a pollution coverage rate and a soil pollution influence index are calculated, and an external environmental influence factor is generated by combining the pollution coverage rate, the soil pollution influence index, and a planning conflict deduction factor;

[0011] A land quality recovery model is constructed by combining the ecological recovery parameters and the land reclamation standards, and a reclamation potential value of the target industrial and mining area is calculated;

[0012] Through a comprehensive evaluation decision engine, the external environmental influence factor and the reclamation potential value are input into a weighted value function to generate a reclamation feasibility score and output a recommended reclamation scheme atlas.

[0013] Preferably, the geographic information data of the target industrial and mining area is collected, and the land degradation attribute and the future reclamation behavior prediction result of the industrial and mining area are analyzed based on the geographic information data of the target industrial and mining area, specifically including:

[0014] Satellite remote sensing images of the target industrial and mining area are collected, and geological environment data of the industrial and mining area are identified based on the satellite remote sensing images, the geological environment data including vegetation coverage, bare ground profile, and pollution diffusion area;

[0015] Land use property labels and historical industrial activity approval lists of the target industrial and mining area are retrieved, and land degradation data of the target industrial and mining area are evaluated based on the geological environment data, the land use property labels, and the historical industrial activity approval lists of the target industrial and mining area;

[0016] Through GIS spatial overlay analysis, the planning conflict level of the ecological protection zone, the agricultural land, and the target industrial and mining area is marked, and the planning conflict deduction factor of the target industrial and mining area is set based on the planning conflict level;

[0017] Based on the time series LSTM prediction unit, the reclamation behavior in the future land reclamation life cycle is predicted according to the historical land degradation data and the planning conflict deduction factor of the target industrial and mining area.

[0018] Preferably, the pollution coverage rate and the soil pollution influence index are calculated based on the land degradation attribute and the future reclamation behavior prediction, and the external environmental influence factor is generated by combining the pollution coverage rate, the soil pollution influence index, and the planning conflict deduction factor, specifically including:

[0019] A pollutant migration simulation algorithm is used to calculate the pollution coverage rate of industrial residues on land quality based on the future reclamation behavior prediction result;

[0020] A soil pollution influence index is calculated based on the pollutant deposition caused by the future reclamation behavior by combining meteorological data and a Gaussian diffusion model;

[0021] Through GIS spatial overlay analysis, the planning conflict level of the ecological protection zone, agricultural land and the target industrial and mining area is marked, and based on the planning conflict level, a planning conflict deduction factor of the target industrial and mining area is set;

[0022] Based on the normalized processing of the pollution coverage rate of industrial residues on land quality and the soil pollution influence index, the result after the normalized processing is weighted and fused with the planning conflict deduction factor to generate an external environmental influence factor.

[0023] Preferably, the land quality recovery model is constructed by combining the ecological restoration parameter and the land reclamation standard, and the reclamation potential value of the target industrial and mining area is calculated, specifically including:

[0024] Based on the land reclamation standard of the target industrial and mining area, at least one ecological function area recovered after the target industrial and mining area executes the reclamation planning is analyzed, which is recorded as a recovered function area;

[0025] Based on the ecological historical data, the ecological demand data of the recovered function area is analyzed, and based on the ecological demand data of the recovered function area and the reclamation standard of the target industrial and mining area, the recovery data of all recovered function areas after the target industrial and mining area executes the reclamation planning is determined;

[0026] Based on the recovery data of all recovered function areas after the target industrial and mining area executes the reclamation planning and the ecological recovery loss of the target industrial and mining area executing the reclamation planning, the reclamation potential value of the target industrial and mining area is calculated.

[0027] Preferably, the external environmental influence factor and the reclamation potential value are input into a weighted value function by the comprehensive evaluation decision engine to generate a reclamation feasibility score and output a recommended reclamation scheme atlas, specifically including:

[0028] The reclamation feasibility score of all reclamation planning of the target industrial and mining area is solved based on the weighted value function;

[0029] The reclamation planning of the target industrial and mining area is output in order from large to small according to the reclamation feasibility score, and a recommended reclamation scheme atlas is constructed;

[0030] The weighted value function is specifically:

[0031] ;

[0032] In the formula, V is the reclamation feasibility score of the target industrial and mining area, is the reclamation potential value of the target industrial and mining area, is the external environmental influence factor of the target industrial and mining area, is the planning conflict deduction factor of the target industrial and mining area, and are weight coefficients.

[0033] Further, a land reclamation analysis system for industrial and mining areas is proposed, which is used to implement the land reclamation analysis method for industrial and mining areas as described above, comprising:

[0034] a geographic information collection module configured to collect satellite remote sensing images and land use property labels of a target industrial and mining area, and output a future reclamation behavior prediction result based on historical land degradation data through an LSTM prediction unit;

[0035] an environmental impact factor generation module connected to the geographic information collection module and configured to calculate a pollution coverage rate and a soil pollution impact index based on the future reclamation behavior prediction result, and generate external environmental impact factors including a planning conflict deduction factor through GIS spatial overlay analysis;

[0036] a reclamation potential evaluation module configured to construct a land quality recovery model by combining ecological restoration parameters and land reclamation standards, and output a reclamation potential value and ecological restoration loss data of the target industrial and mining area;

[0037] a comprehensive decision engine connected to the environmental impact factor generation module and the reclamation potential evaluation module, and configured to input the external environmental impact factors, the reclamation potential value, the ecological restoration loss, and the planning conflict deduction factor into a weighted value function, generate a reclamation feasibility score, and output an ordered recommended reclamation scheme atlas.

[0038] Optionally, the environmental impact factor generation module comprises:

[0039] a pollutant migration simulation unit configured to calculate an industrial residue pollution coverage rate based on the future reclamation behavior prediction result by using a Gaussian diffusion model combined with meteorological data;

[0040] a spatial conflict analysis unit configured to label the planning conflict level of ecological protection areas / agricultural land and industrial and mining areas through GIS overlay analysis, and output a planning conflict deduction factor;

[0041] a factor fusion unit configured to normalize and weight sum the pollution coverage rate, the soil pollution impact index, and the planning conflict deduction factor to generate the external environmental impact factors.

[0042] Optionally, the comprehensive decision engine further comprises:

[0043] a weighted value function execution unit configured to solve the reclamation feasibility score of all reclamation plans of the target industrial and mining area based on the weighted value function;

[0044] a scheme atlas generation unit configured to output the reclamation plans of the target industrial and mining area in descending order of the reclamation feasibility score, and construct a recommended reclamation scheme atlas.

[0045] Compared with the prior art, the present application has the beneficial effects that:

[0046] The present application significantly improves the comprehensiveness and forward-looking of industrial and mining land reclamation analysis by fusing remote sensing monitoring, geographic information system analysis and LSTM time series prediction technology: first, it combines pollutant migration simulation and spatial conflict analysis to accurately quantify dynamic environmental impact factors such as pollution coverage rate, soil pollution influence index and planning conflict deduction factor, effectively overcoming the limitations of traditional methods in external constraint evaluation; second, the restoration potential model based on land reclamation standards and ecological demand couples the ecological restoration loss with the reclamation potential value, solving the problem of ignoring the dynamic evolution of restoration capacity in static evaluation; finally, with the weighted value function of the comprehensive decision engine, the multi-dimensional indicators of environmental risk and restoration potential are integrated to automatically generate a recommended reclamation scheme atlas with significantly optimized success rate, which not only improves the feasibility and ecological adaptability of reclamation planning, but also provides spatial and quantitative basis for scientific decision-making, ultimately effectively improving the success rate of industrial and mining waste land reclamation and land use efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The land reclamation analysis method for industrial and mining areas proposed by the present application is shown in the flowchart;

[0048] Figure 2 The method flowchart for analyzing the land degradation attributes and future reclamation behavior prediction results of industrial and mining areas proposed by the present application is shown in the flowchart;

[0049] Figure 3 The method flowchart for generating external environmental impact factors proposed by the present application is shown in the flowchart;

[0050] Figure 4 The method flowchart for calculating the reclamation potential value of the target industrial and mining area proposed by the present application is shown in the flowchart;

[0051] Figure 5 The method flowchart for generating reclamation feasibility score and outputting recommended reclamation scheme atlas proposed by the present application is shown in the flowchart. DETAILED DESCRIPTION

[0052] The following description is used to disclose the present application so that those skilled in the art can implement the present application. The preferred embodiments in the following description are only as examples, and other obvious modifications can be made by those skilled in the art.

[0053] Example one:

[0054] Referring to Figure 1 The land reclamation analysis method for industrial and mining areas, comprising:

[0055] Collecting geographic information data of the target industrial and mining area, and analyzing land degradation attributes and future reclamation behavior prediction results of the target industrial and mining area based on the geographic information data of the target industrial and mining area;

[0056] Through the acquisition of high-precision spatial data such as terrain, soil, vegetation cover, hydrology, and historical disturbance range, the types, degree, and spatial distribution of land degradation such as soil pollution, erosion, structural damage, and loss of biodiversity are accurately characterized.

[0057] At the same time, combined with environmental evolution models and policy scenario analysis, the possible natural restoration trends and potential human intervention measures are predicted to provide scientific basis and forward-looking perspective for subsequent evaluation;

[0058] Based on the land degradation attributes and future reclamation behavior prediction, the pollution coverage rate and soil pollution impact index are calculated, and the external environmental impact factor is generated by combining the pollution coverage rate, soil pollution impact index, and planning conflict deduction factor;

[0059] The impact of land degradation status and reclamation intervention activities on the surrounding environment and society is quantified: the pollution coverage rate assesses the risk of pollutant migration in reclamation to water bodies and surrounding soil; the soil pollution impact index predicts the risk of soil erosion that may be exacerbated under reclamation measures or in a natural state; the planning conflict deduction factor assesses potential future land use competition, such as agriculture, ecology, and construction; integrating these indices forms a comprehensive "external environmental impact factor" that clearly reveals the main challenges and pressure points faced by the region in terms of ecological environmental safety and social coordination, providing a solution to avoid potential risks;

[0060] Combined with ecological restoration parameters and land reclamation standards, a land quality restoration model is constructed to calculate the reclamation potential value of the target industrial and mining area;

[0061] Integrating key parameters affecting ecosystem restoration, such as soil microbial activity, pioneer species resilience, and hydrological connectivity, with legal reclamation quality requirements such as soil fertility threshold, vegetation coverage, and landscape stability standards, a comprehensive land quality restoration model is constructed.

[0062] The "reclamation potential value" calculated by this model quantifies the best expected level that the target area can achieve in terms of restoring soil fertility, improving ecological function, and meeting established standards under different reclamation measures. This is one of the core indicators for assessing the feasibility of reclamation, reflecting the "intrinsic recovery capacity" of the region.

[0063] Through a comprehensive evaluation decision engine, the external environmental impact factor and reclamation potential value are input into a weighted value function to generate a reclamation feasibility score and output a recommended reclamation scheme atlas.

[0064] The comprehensive evaluation decision engine balances the challenge of "external environmental impact factor" and the opportunity of "reclamation potential value" by a preset weighted value function, and generates "reclamation feasibility score" which intuitively reflects the feasibility of each region or scheme under different target weights. The "recommended reclamation scheme atlas" finally outputted presents the recommended reclamation mode of different regions in a visual spatial form, such as ecological conservation, agricultural reclamation, construction land reclamation, spatial optimization allocation and priority ranking, which greatly facilitates decision makers to understand, compare and formulate the optimal and spatially coordinated reclamation action plan, and improves the scientificity and operability of decision-making.

[0065] Further, referring to Figure 2 The geographic information data of the target industrial and mining area is collected, and the land degradation attributes and future reclamation behavior prediction results of the industrial and mining area are analyzed based on the geographic information data of the target industrial and mining area, specifically including:

[0066] Satellite remote sensing images of the target industrial and mining area are collected, and geological environment data of the industrial and mining area is identified based on the satellite remote sensing images, including vegetation coverage, bare ground profile and pollution diffusion area;

[0067] The land use property label and historical industrial activity approval list of the target industrial and mining area are called, and the land degradation data of the target industrial and mining area is evaluated based on the geological environment data, land use property label and historical industrial activity approval list of the target industrial and mining area;

[0068] Through GIS spatial overlay analysis, the planning conflict level of the target industrial and mining area with ecological protection zones and agricultural land is marked, and the planning conflict deduction factor of the target industrial and mining area is set based on the planning conflict level. Specifically, the calculation formula is as follows:

[0069] ;

[0070] The planning conflict deduction factor of the target industrial and mining area is The weight of the kth protection zone is k, and , The total number of protection zone types is k, and the spatial overlay area ratio function is Overlap, The environmental impact area range when the reclamation planning scheme is executed is A, The range of the kth protection zone is Ak;

[0071] The spatial conflict between the target area and key protection zones such as ecological zones and farmland red lines is identified by using GIS spatial overlay technology. According to the preset key weight, the overlay area ratio is quantified to obtain the planning conflict deduction factor, which clearly depicts the level of ecological protection or agricultural production conflicts that may be triggered by reclamation activities;

[0072] a time series-based LSTM prediction unit to predict future reclamation behaviors in the reclamation life cycle according to historical land degradation data;

[0073] Specifically, the output of the LSTM prediction unit is calculated according to the following formula to obtain the probability of future reclamation behaviors under different reclamation planning schemes:

[0074] ;

[0075] ;

[0076] In the formula: is the input historical land degradation data sequence, including the vegetation coverage change rate, the pollution diffusion area growth rate, and the planning conflict deduction factor; is the hidden state vector at time step t, which is dynamically updated by the forget gate, the input gate, and the output gate of the LSTM unit; is the cell state vector at time step t-1; and are the weight matrix and bias vector of the output layer; softmax is an activation function that maps the hidden state to a probability distribution; represents the predicted probability of future reclamation behaviors, where e is the reclamation behavior type, such as vegetation restoration, soil remediation, or pollution control.

[0077] Referring to FIG. 6, based on the land degradation attributes and the prediction of future reclamation behaviors, the pollution coverage rate and the soil pollution impact index are calculated, and the external environmental impact factor is generated by combining the pollution coverage rate, the soil pollution impact index, and the planning conflict deduction factor. Specifically, the external environmental impact factor includes: Figure 3 A pollutant migration simulation algorithm is used to calculate the pollution coverage rate of industrial residues on land quality based on the prediction results of future reclamation behaviors.

[0078] Specifically, the calculation formula is:

[0079]

[0080] ;

[0081] In the formula: is the pollution coverage rate of industrial residues on land quality, U is the set of possible reclamation behavior types in the reclamation planning scheme, such as vegetation restoration, soil remediation, and pollution control, is the pollutant residue impact factor corresponding to the e-th reclamation behavior, which is fitted from historical pollutant deposition data.

[0082] Based on the pollutant deposition caused by future reclamation behaviors, the soil pollution impact index is calculated by combining meteorological data and the Gaussian diffusion model. The specific calculation formula is: ​

[0083] ;

[0084] σ is the standard deviation of pollutant diffusion, dynamically corrected based on meteorological wind speed and humidity, μ is the center position of the pollution source, d is the boundary distance of the target industrial and mining area, is the monthly average temperature, is the precipitation frequency, e is a natural constant, is the soil pollution influence index, x is the integral function argument.

[0085] Based on the pollution coverage of industrial residues on land quality and the soil pollution influence index, the normalized results are weighted and fused with the planning conflict deduction factor to generate the external environmental impact factor.

[0086] By combining the dynamic influence of reclamation behavior, the environmental risk is accurately quantified. Based on historical data, the pollutant residue influence factor of reclamation behavior is fitted to drive the pollutant migration simulation, calculate the pollution coverage of industrial residues, directly reflect the spatial distribution of pollutant residues after different reclamation interventions, integrate meteorological data and Gaussian diffusion model, use the dynamically corrected diffusion standard deviation to calculate the soil pollution influence index, and accurately assess the diffusion intensity and range of pollutant deposition on the target area.

[0087] The complex pollution diffusion risk, soil erosion inducement, land development conflict and other multi-dimensional environmental and social constraints are converted into a single comparable scientific index, which significantly improves the prediction accuracy of decision-makers on the overall environmental pressure of the region, provides a reliable quantitative basis for subsequent screening of low environmental cost and high coordination reclamation schemes, and ensures the ecological safety and sustainable development ability of engineering implementation.

[0088] Referring to Figure 4 , a land quality recovery model is constructed by combining ecological restoration parameters and land reclamation standards to calculate the reclamation potential value of the target industrial and mining area, which specifically includes:

[0089] Based on the land reclamation standards of the target industrial and mining area, at least one ecological function area recovered after the target industrial and mining area executes the reclamation plan is analyzed, which is denoted as a recovery function area;

[0090] Based on ecological historical data, the ecological demand data of the recovery function area is analyzed, and based on the ecological demand data of the recovery function area and the reclamation standards of the target industrial and mining area, the recovery data of all recovery function areas after the target industrial and mining area executes the reclamation plan is determined;

[0091] Specifically, the determination method of the recovery data is:

[0092] Based on the ecological history database, the ecological demand vector of each recovery function area is extracted, and based on the historical reclamation database, the reclamation capacity vector of the target industrial and mining area after implementing the reclamation planning is determined, the vector distance between the reclamation capacity vector and the ecological demand vector is calculated, and the recovery data of the target industrial and mining area after implementing the reclamation planning for the recovery function area is obtained, wherein the ecological demand vector is composed of soil organic matter demand, vegetation coverage density demand, biodiversity index demand and other ecological data demand, and the reclamation capacity vector is composed of ecological data promotion data provided by the target industrial and mining area to the recovery function area after implementing the reclamation planning.

[0093] Based on the recovery data of all recovery function areas after the target industrial and mining area implements the reclamation planning and the ecological restoration loss of the target industrial and mining area after implementing the reclamation planning, the reclamation potential value of the target industrial and mining area is calculated.

[0094] Specifically, the calculation method of the reclamation potential value is:

[0095] ;

[0096] In the formula, is the reclamation potential value, is the set of recovery function areas, is the rth recovery function area, is the recovery data of the rth recovery function area, is the ecological restoration loss.

[0097] The vector quantization model is used to convert the abstract ecological restoration target into a calculable physical quantity, which improves the objectivity and reliability of the reclamation potential evaluation.

[0098] By constructing the "ecological demand vector" to clearly quantify the requirements of the function area for soil organic matter, vegetation density, biodiversity and other core elements, and the "reclamation capacity vector" to accurately quantify the actual ecological promotion value that can be provided by a specific reclamation planning, and calculating the vector distance between the two, this method first systematically and quantitatively reveals the real gap between the reclamation capacity of the industrial and mining area and the demand of the target ecological function.

[0099] This quantitative distance value can more accurately capture the bottleneck and potential space of the recovery effect than traditional qualitative or single index evaluation, and more importantly, by dividing the sum of the recovery data of multiple function areas by the ecological restoration loss, the recovery efficiency and implementation cost are dynamically combined.

[0100] The finally calculated reclamation potential value is no longer a static theoretical maximum value, but a net recovery benefit after cost adjustment that reflects the reclamation planning that can be achieved under the constraints of the real environment and resource input, which provides insight for decision makers about the actual effectiveness and feasibility boundary of the reclamation scheme, greatly avoids the risk of planning failure caused by overestimating recovery capacity or underestimating recovery resistance, and significantly improves the success rate of reclamation scheme landing.

[0101] Referring to Figure 5 As shown, by inputting the external environment influence factor and the reclamation potential value into the weighted value function through the comprehensive evaluation decision engine, the reclamation feasibility score is generated and the recommended reclamation scheme atlas is output, which specifically includes:

[0102] The reclamation feasibility score of all reclamation plans of the target industrial and mining area is solved based on the weighted value function;

[0103] The reclamation plans of the target industrial and mining area are output in order from large to small according to the reclamation feasibility score, and the recommended reclamation scheme atlas is constructed;

[0104] The weighted value function is specifically:

[0105] ;

[0106] In the formula, V is the reclamation feasibility score of the target industrial and mining area, is the reclamation potential value of the target industrial and mining area, is the external environment influence factor of the target industrial and mining area, is the planning conflict deduction factor of the target industrial and mining area, and are weight coefficients.

[0107] This scheme integrates the reclamation potential value reflecting the intrinsic recovery capacity of the land, the negative influence factor representing the external environmental risk, and the additional restrictions caused by the planning conflict. By linearly deducting the adverse effects caused by external environmental influence and planning conflict, the dynamic coupling and quantitative trade-off of the intrinsic and extrinsic core elements of the industrial and mining reclamation project are realized.

[0108] The engine automatically scores and sorts all the alternative reclamation plans based on this function and directly outputs the recommended reclamation scheme atlas. This design makes the complex multi-dimensional evaluation results finally transform into an intuitive, sortable and spatially guiding decision support tool. The final effect is to significantly improve the scientificity and efficiency of reclamation planning decision-making, and to provide objective and calculable basis for accurately selecting the best reclamation scheme with controllable environmental risk, maximum recovery potential and minimum planning conflict, directly guiding practical operation and effectively improving the success rate and comprehensive benefits of reclamation engineering.

[0109] Example two:

[0110] Specifically, the embodiment proposes a land reclamation analysis system for industrial and mining areas, which realizes the land reclamation analysis method for industrial and mining areas as proposed in Embodiment One, comprising:

[0111] a geographic information collection module configured to collect satellite remote sensing images and land use property labels of a target industrial and mining area, and output a future reclamation behavior prediction result based on historical land degradation data through an LSTM prediction unit;

[0112] an environmental impact factor generation module connected to the geographic information collection module and configured to calculate a pollution coverage rate and a soil pollution impact index based on the future reclamation behavior prediction result, and generate external environmental impact factors including a planning conflict deduction factor through GIS spatial overlay analysis;

[0113] a reclamation potential evaluation module configured to construct a land quality recovery model by combining ecological restoration parameters and land reclamation standards, and output a reclamation potential value and ecological restoration loss data of the target industrial and mining area;

[0114] a comprehensive decision engine connected to the environmental impact factor generation module and the reclamation potential evaluation module, and configured to input the external environmental impact factors, the reclamation potential value, the ecological restoration loss, and the planning conflict deduction factor into a weighted value function, generate a reclamation feasibility score, and output a ranked recommended reclamation scheme atlas.

[0115] The environmental impact factor generation module comprises:

[0116] a pollutant migration simulation unit configured to calculate an industrial residue pollution coverage rate based on the future reclamation behavior prediction result using a Gaussian diffusion model combined with meteorological data;

[0117] a spatial conflict analysis unit configured to label the planning conflict level of ecological protection areas / agricultural land and industrial and mining areas through GIS overlay analysis, and output a planning conflict deduction factor;

[0118] a factor fusion unit configured to normalize and weight sum the pollution coverage rate, the soil pollution impact index, and the planning conflict deduction factor to generate the external environmental impact factors.

[0119] The comprehensive decision engine further comprises:

[0120] a weighted value function execution unit configured to solve the reclamation feasibility score of all reclamation plans of the target industrial and mining area based on the weighted value function;

[0121] a scheme atlas generation unit configured to output the reclamation plans of the target industrial and mining area in descending order of the reclamation feasibility score, and construct a recommended reclamation scheme atlas.

[0122] In summary, the advantages of the present application are as follows: by fusing remote sensing monitoring, geographic information system analysis and LSTM time series prediction technology, the comprehensiveness and forward-looking of industrial and mining land reclamation analysis are significantly improved: first, it combines pollutant migration simulation and spatial conflict analysis to accurately quantify dynamic environmental impact factors such as pollution coverage rate, soil pollution influence index and planning conflict deduction factor, effectively overcoming the limitations of traditional methods on external constraint evaluation; second, the restoration potential model based on land reclamation standards and ecological demand couples the ecological restoration loss with the reclamation potential value, solving the problem of ignoring the dynamic evolution of restoration capacity in static evaluation; finally, with the help of the weighted value function of the comprehensive decision engine, the multi-dimensional indexes of environmental risk and restoration potential are integrated to automatically generate the recommended reclamation scheme atlas with significantly optimized success rate, which not only improves the feasibility and ecological adaptability of reclamation planning, but also provides spatial and quantitative basis for scientific decision-making, and finally effectively improves the success rate of industrial and mining waste land reclamation and land use efficiency.

[0123] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection required by the present application is defined by the appended claims and their equivalents.

Claims

1. A method for land reclamation analysis for industrial and mining areas, characterized by, The method comprises the following steps: Collecting geographic information data of the target mining area, and analyzing land degradation attributes and future reclamation behavior prediction results of the target mining area based on the geographic information data of the target mining area; Based on the land degradation attributes and future reclamation behavior prediction, calculate the pollution coverage rate and the soil pollution influence index, and combine the pollution coverage rate, the soil pollution influence index and the planning conflict deduction factor to generate the external environment influence factor; Combine the ecological restoration parameters and the land reclamation standard to construct a land quality restoration model, and calculate the reclamation potential value of the target mining area; Through comprehensive evaluation decision engine, the external environment influence factor and the reclamation potential value are input into the weighted value function to generate the reclamation feasibility score and output the recommended reclamation scheme atlas; Wherein, the collecting geographic information data of the target mining area, and analyzing land degradation attributes and future reclamation behavior prediction results of the target mining area based on the geographic information data of the target mining area specifically comprises: Collecting satellite remote sensing images of the target mining area, and identifying geological environment data of the mining area based on the satellite remote sensing images, the geological environment data including vegetation coverage, bare ground profile and pollution diffusion area; Access the land use property label and the historical industrial activity approval list of the target mining area, and evaluate the land degradation data of the target mining area based on the geological environment data, the land use property label and the historical industrial activity approval list of the target mining area; Through GIS spatial overlay analysis, mark the planning conflict level of the ecological protection area, agricultural land and the target mining area, and set the planning conflict deduction factor of the target mining area based on the planning conflict level; Based on the time series LSTM prediction unit, predict the reclamation behavior in the future land reclamation life cycle according to the historical land degradation data and the planning conflict deduction factor of the target mining area; The method for calculating the pollution coverage rate and the soil pollution influence index based on the land degradation attributes and the future reclamation behavior prediction, and combining the pollution coverage rate, the soil pollution influence index and the planning conflict deduction factor to generate the external environment influence factor specifically comprises: Using the pollutant migration simulation algorithm, calculating the pollution coverage rate of industrial residues on land quality based on the future reclamation behavior prediction results; Combined with meteorological data and Gaussian diffusion model, calculating the soil pollution influence index based on the pollutant deposition caused by future reclamation behavior; Based on the pollution coverage rate of industrial residues on land quality and the soil pollution influence index, the normalized results are weighted and fused with the planning conflict deduction factor to generate the external environment influence factor; The method for combining ecological restoration parameters and land reclamation standards to construct a land quality restoration model and calculating the reclamation potential value of the target mining area specifically comprises: Based on the land reclamation standard of the target mining area, analyze at least one ecological function area recovered after the target mining area executes the reclamation plan, which is called the recovery function area; Based on the ecological historical data, analyze the ecological demand data of the recovery function area, and based on the ecological demand data of the recovery function area, combine the reclamation standard of the target mining area to determine the recovery data of all recovery function areas after the target mining area executes the reclamation plan. The reclamation potential value of the target industrial and mining area is calculated based on the recovery data of all recovery function areas after the implementation of the reclamation planning in the target industrial and mining area and the ecological recovery loss of the target industrial and mining area after the implementation of the reclamation planning.

2. A land reclamation analysis method for industrial and mining areas according to claim 1, characterized in that, The comprehensive decision engine inputs the external environment influence factor and the reclamation potential value into a weighted value function to generate a reclamation feasibility score and output a recommended reclamation scheme atlas, specifically including: The reclamation feasibility score of all reclamation plans of the target industrial and mining area is solved based on the weighted value function; The reclamation plans of the target industrial and mining area are output in descending order of the reclamation feasibility score to construct a recommended reclamation scheme atlas; The weighted value function is specifically: ； In the formula, V is the reclamation feasibility score of the target industrial and mining area, is the reclamation potential value of the target industrial and mining area, is the external environmental influence factor of the target industrial and mining area, is the planning conflict deduction factor of the target industrial and mining area, and are weight coefficients.

3. A land reclamation analysis system for industrial and mining areas, characterized by, The land reclamation analysis method for the industrial and mining area according to any one of claims 1-2 comprises: The geographic information collection module is configured to collect satellite remote sensing images and land use property labels of the target industrial and mining area, and output future reclamation behavior prediction results based on historical land degradation data through the LSTM prediction unit; The environmental impact factor generation module is connected to the geographic information collection module and is configured to calculate pollution coverage and soil pollution impact index based on the future reclamation behavior prediction results, and generate external environment influence factors including planning conflict deduction factors through GIS spatial overlay analysis; The reclamation potential evaluation module is configured to construct a land quality recovery model by combining ecological restoration parameters and land reclamation standards, and output reclamation potential values and ecological restoration loss data of the target industrial and mining area; The comprehensive decision engine is connected to the environmental impact factor generation module and the reclamation potential evaluation module, and is configured to input the external environment influence factor, the reclamation potential value, the ecological restoration loss and the planning conflict deduction factor into the weighted value function to generate the reclamation feasibility score and output the recommended reclamation scheme atlas in order.

4. A land reclamation analysis system for industrial and mining areas according to claim 3, characterized in that, The environmental impact factor generation module comprises: The pollutant migration simulation unit is configured to calculate the industrial residue pollution coverage based on the future reclamation behavior prediction results and meteorological data using the Gaussian diffusion model; The spatial conflict analysis unit is configured to label the planning conflict level of the ecological protection area / agricultural land and the industrial and mining area through GIS overlay analysis, and output the planning conflict deduction factor; The factor fusion unit is configured to normalize and weight sum the pollution coverage, the soil pollution impact index and the planning conflict deduction factor to generate the external environment influence factor.

5. A land reclamation analysis system for industrial and mining areas according to claim 3, characterized in that, The comprehensive decision engine further comprises: The weighted value function execution unit is configured to solve the reclamation feasibility score of all reclamation plans of the target industrial and mining area based on the weighted value function; The scheme atlas generation unit is configured to output the reclamation plans of the target industrial and mining area in descending order of the reclamation feasibility score to construct a recommended reclamation scheme atlas.

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