Classification and path matching method of town land consolidation types based on industrial characteristics

Abstract

The present invention relates to the field of land consolidation technology, and in particular to a method for classifying and matching land consolidation types in towns based on industrial characteristics. Through multi-parameter normalization processing of NDVI, industrial heat emissions, water intake, and soil heavy metals, a three-dimensional tensor is constructed to integrate spatial, temporal, and characteristic three-dimensional information, achieving an integrated "space-time-feature" representation and accurately locating the intensity and type of coexistence effects. Based on the quantified nonlinear relationship between photothermal resonance and water-pollution coupling using STCI and WPSC, the coexistence intensity index (CI) is used to comprehensively assess risk levels, breaking through the limitations of the traditional two-dimensional system and providing a quantitative basis for type classification. Based on the threshold combination of CI, STCI, and WPSC, the consolidation types are subdivided into four categories, each of which is matched with a progressive path containing three technical modules, realizing closed-loop management of "diagnosis-treatment-acceptance."

Description

Technical Field

[0001] The present invention relates to the field of land consolidation technology, and in particular to a town land consolidation type classification and path matching method based on industrial characteristics. Background Art

[0002] Land consolidation in towns faces the dual challenges of industrial development and ecological protection: Heat emissions from industrial activities, coupled with the photothermal resonance of vegetation cover, and heavy metal soil pollution caused by industrial water withdrawal often coexist on the same land parcels. Traditional techniques rely on a two-dimensional "industry type + land quality" classification and consolidation system, focusing only on a single dimension of land issues (such as arable land fertility or industrial pollution). However, in areas where both STCI and WPSC coexist, land parcels exhibit conflicting characteristics of both "high yield potential" and "high pollution risk." This makes traditional consolidation measures incapable of balancing both industrial gains and pollution control. New technological systems that integrate spatiotemporal characteristics and multi-source data are urgently needed. Traditional methods categorize consolidation based solely on industry type and land quality, failing to incorporate dynamic parameters such as heat emissions, vegetation cover, and pollution diffusion. Consequently, they fail to capture the complex coupling of "photothermal, water, and pollution." They apply uniform consolidation measures to the same industry type, failing to tailor differentiated solutions to specific scenarios such as "heat-water coexistence" and "water-pollution activity," leading to both "over-consolidation" and "under-consolidation." Summary of the Invention

[0003] The primary objective of this invention is to provide a method for classifying and matching land consolidation types within towns based on industrial characteristics. By normalizing multiple parameters, such as NDVI, industrial heat emissions, water withdrawal, and soil heavy metals, a three-dimensional tensor is constructed that integrates spatial, temporal, and characteristic (light, heat, and pollution) information. This achieves an integrated "space-time-characteristic" representation, accurately pinpointing the intensity and type of coexistence effects. Using the STCI and WPSC methods to quantify the nonlinear relationship between light-thermal resonance and water-pollution coupling, the coexistence intensity index (CI) is used to comprehensively assess risk levels, overcoming the limitations of traditional two-dimensional systems and providing a quantitative basis for classification. Based on threshold combinations of CI, STCI, and WPSC, remediation types are subdivided into four categories: heat-water coexistence suppression and water-pollution buffering. Each category is matched with a progressive pathway consisting of three technical modules, achieving a closed-loop management system of "diagnosis-treatment-acceptance."

[0004] The technical solutions of the present invention are as follows:

[0005] First, a method for classifying town-level land consolidation types and matching paths based on industrial characteristics is proposed. The method includes the following steps:

[0006] S1. Preset a collection cycle, and obtain the vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town during each collection cycle. Simultaneously collect town land development and utilization parameters and land ecological quality parameters. The land development and utilization parameters include the proportion of industrial land, building density, and the proportion of multiple cropping of cultivated land. The land ecological quality parameters include vegetation coverage, soil organic matter content, and water area.

[0007] S2. Perform range normalization on all collected data, and obtain the land use intensity factor and land ecological quality factor within the town based on the normalized land development and utilization parameters and land ecological quality parameters within the town;

[0008] S3. Construct a three-dimensional tensor of light-heat-water-pollution coupling based on the normalized vegetation index, water withdrawal, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town;

[0009] S4. Calculate the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town, and calculate the coexistence intensity index of different land sub-regions within the town based on the land use intensity factor, land ecological quality factor, and the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town;

[0010] S5. Determine the remediation type of different land sub-regions within the town based on the light-heat synergy index, water-pollution synchronization coefficient, and coexistence intensity index of different land sub-regions within the town, and match the corresponding remediation path according to the remediation type;

[0011] S6. After completing land reclamation according to the corresponding remediation path, set different land reclamation acceptance indicators for evaluation.

[0012] A further improvement of the present invention is that the calculation formula of the land use intensity factor in S2 is:

[0013] ;

[0014] ;

[0015] Where F represents the land use intensity factor, is the normalized proportion of industrial land, is the normalized building density, is the normalized proportion of cultivated land under multiple cropping, E represents the land ecological quality factor, is the normalized vegetation coverage, is the normalized soil organic matter content, is the normalized water area ratio.

[0016] A further improvement of the present invention is that S3 includes the following specific steps:

[0017] S31. Extract the normalized vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-regions within the town, and construct a three-dimensional tensor of light-heat-water-pollution coupling. ;

[0018] S32, the three-dimensional tensor of the light-heat-water-pollution coupling The calculation formula is:

[0019] ;

[0020] in, represents the normalized vegetation index of the i-th land sub-area within the town collected at the j-th time, represents the normalized industrial heat emission index of the i-th land sub-area within the town collected at the j-th time, represents the normalized water intake of the i-th land sub-area within the town collected at the j-th time, It represents the normalized increment of soil heavy metals in the i-th land sub-area within the town collected at the j-th time. When k=1, It represents the light-heat resonance intensity of the i-th land sub-area in the town collected at the jth time. When k=2, It represents the water-pollution coupling intensity of the i-th land sub-area within the town collected at the j-th time, where the value of i is 1-n and the value of j is 1-m.

[0021] A further improvement of the present invention is that S4 includes the following specific steps:

[0022] S41. Calculate the light-heat synergy index of different land sub-areas within the town. The calculation formula is:

[0023] ;

[0024] in, represents the light-heat synergy index of the i-th land sub-region within the town. When , it indicates that the photothermal resonance is significant;

[0025] S42. Calculate the water-pollution synchronization coefficient for different land sub-areas within the town. The calculation formula is:

[0026] ;

[0027] in, represents the water-pollution synchronization coefficient of the i-th land sub-region within the town. When , water-pollution coupling is active.

[0028] A further improvement of the present invention is that the step S4 further comprises:

[0029] S43. Calculate the coexistence intensity index of different land sub-areas within the town. The calculation formula is:

[0030] ;

[0031] in, Represents the coexistence intensity index of the i-th land sub-area within the town.

[0032] A further improvement of the present invention is that the determination of the types of land remediation in different sub-regions within the town in S5 includes: and When , the i-th land sub-region in the town is judged to be heat-water coexistence inhibition type. and When , the i-th land sub-area in the town is judged to be water-pollution buffer type. and When , the i-th land sub-area in the town is judged as pollution-barrier improvement type, and other cases are judged as conventional quality improvement type.

[0033] A further improvement of the present invention is that the specific content of matching the corresponding remediation path according to the remediation type in S5 is: when the i-th land sub-area in the town is of the heat-water coexistence inhibition type, the remediation path is to excavate a multi-layer insulation water storage ditch to store water - carry out evaporation irrigation - apply biochar to adsorb heavy metals in the soil; when the i-th land sub-area in the town is of the water-pollution buffer type, the remediation path is to intercept the runoff after industrial water intake, slow down the water flow rate - adsorb heavy metal ions in the runoff - perform segmented pretreatment of industrial water intake pulses; when the i-th land sub-area in the town is of the pollution-barrier-enhancement type, the remediation path is to set up a heavy metal barrier belt - inoculate heavy metal solidification microorganisms - deploy a sensor network to monitor the heavy metal concentration in soil leachate; when the i-th land sub-area in the town is of the conventional quality improvement type, the remediation path is to merge fragmented land - upgrade the irrigation and drainage system.

[0034] A further improvement of the present invention is that S6 includes the following specific contents:

[0035] S61. When the i-th land sub-region in the town is of the heat-water coexistence inhibition type, the acceptance indicator is that the inhibition rate of the i-th land sub-region is greater than a first threshold. The calculation formula of the inhibition rate is: ;in, represents the coexistence intensity index of the i-th land sub-area within the town after land consolidation;

[0036] S62. When the i-th land sub-region in the town is of the water-pollution buffer type, the acceptance indicator is that the attenuation coefficient of the i-th land sub-region is greater than the second threshold. The calculation formula of the attenuation coefficient is: ;in, represents the increment of soil heavy metals in the i-th land sub-area within the town after land remediation;

[0037] S63. When the i-th land sub-region in the town is of the pollution-barrier-improvement type, the acceptance indicator is that the barrier efficiency of the i-th land sub-region is less than a third threshold. The calculation formula of the barrier efficiency is: Where C1 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town after land remediation, and C0 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town before land remediation;

[0038] S64. When the i-th land sub-region within the town is of conventional quality improvement type, the acceptance indicator is that the output value gain of the i-th land sub-region is greater than the fourth threshold. The calculation formula of the output value gain is: ; Among them, G is the land yield benchmark value, G1 is the yield of the i-th land sub-area in the town after land consolidation, and G0 is the yield of the i-th land sub-area in the town before land consolidation.

[0039] The technical effects of the present invention are as follows:

[0040] A method for classifying and matching land consolidation types within towns based on industrial characteristics was developed. Through multi-parameter normalization of NDVI, industrial heat emissions, water withdrawal, and soil heavy metals, a three-dimensional tensor was constructed to integrate spatial, temporal, and characteristic (photothermal / pollution) information. This achieved an integrated "space-time-characteristic" representation and accurately pinpointed the intensity and type of coexistence effects. Using STCI and WPSC to quantify the nonlinear relationship between photothermal resonance and water-pollution coupling, the coexistence intensity index (CI) was used to comprehensively assess risk levels, breaking through the limitations of traditional two-dimensional systems and providing a quantitative basis for classification. Based on the combination of CI, STCI, and WPSC thresholds, consolidation types were subdivided into four categories, each matched with a progressive path consisting of three technical modules, achieving a closed-loop management system of "diagnosis-treatment-acceptance." BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0042] Figure 1 This is a flow chart of the method for town land consolidation type classification and path matching based on industrial characteristics according to Example 1 of the present invention. DETAILED DESCRIPTION

[0043] Example 1

[0044] This example proposes a method for classifying and matching land consolidation types within a town based on industrial characteristics. By normalizing multiple parameters, including NDVI, industrial heat emissions, water withdrawal, and soil heavy metals, a three-dimensional tensor is constructed to integrate spatial, temporal, and characteristic (light, heat, and pollution) information. This achieves an integrated "space-time-characteristic" representation, accurately pinpointing the intensity and type of coexistence effects. The nonlinear relationship between light-thermal resonance and water-pollution coupling is quantified using the STCI and WPSC methods. The coexistence intensity index (CI) is used to comprehensively assess risk levels, breaking through the limitations of traditional two-dimensional systems and providing a quantitative basis for classification. Based on a combination of CI, STCI, and WPSC thresholds, remediation types are subdivided into four categories: heat-water coexistence suppression and water-pollution buffering. Each category is matched with a progressive pathway consisting of three technical modules, achieving a closed-loop management system of "diagnosis-treatment-acceptance."

[0045] Specifically, such as Figure 1 As shown, the method for town land consolidation type classification and path matching based on industrial characteristics proposed in this embodiment includes the following specific steps:

[0046] S1. Preset a collection cycle, and obtain the vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town during each collection cycle. Simultaneously collect town land development and utilization parameters and land ecological quality parameters. The land development and utilization parameters include the proportion of industrial land, building density, and the proportion of multiple cropping of cultivated land. The land ecological quality parameters include vegetation coverage, soil organic matter content, and water area.

[0047] S2. Perform range normalization on all collected data, and obtain the land use intensity factor and land ecological quality factor within the town based on the normalized land development and utilization parameters and land ecological quality parameters within the town;

[0048] S3. Construct a three-dimensional tensor of light-heat-water-pollution coupling based on the normalized vegetation index, water withdrawal, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town;

[0049] S4. Calculate the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town, and calculate the coexistence intensity index of different land sub-regions within the town based on the land use intensity factor, land ecological quality factor, and the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town;

[0050] S5. Determine the remediation type of different land sub-regions within the town based on the light-heat synergy index, water-pollution synchronization coefficient, and coexistence intensity index of different land sub-regions within the town, and match the corresponding remediation path according to the remediation type;

[0051] S6. After completing land reclamation according to the corresponding remediation path, set different land reclamation acceptance indicators for evaluation.

[0052] In this embodiment, the calculation formula of the land use intensity factor in S2 is:

[0053] ;

[0054] ;

[0055] Where F represents the land use intensity factor, is the normalized proportion of industrial land, is the normalized building density, is the normalized proportion of cultivated land under multiple cropping, E represents the land ecological quality factor, is the normalized vegetation coverage, is the normalized soil organic matter content, is the normalized water area ratio.

[0056] In this embodiment, S3 includes the following specific steps:

[0057] S31. Extract the normalized vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-regions within the town, and construct a three-dimensional tensor of light-heat-water-pollution coupling. ;

[0058] S32, the three-dimensional tensor of the light-heat-water-pollution coupling The calculation formula is:

[0059] ;

[0060] in, represents the normalized vegetation index of the i-th land sub-area within the town collected at the j-th time, represents the normalized industrial heat emission index of the i-th land sub-area within the town collected at the j-th time, represents the normalized water intake of the i-th land sub-area within the town collected at the j-th time, It represents the normalized increment of soil heavy metals in the i-th land sub-area within the town collected at the j-th time. When k=1, It represents the light-heat resonance intensity of the i-th land sub-area in the town collected at the jth time. When k=2, It represents the water-pollution coupling intensity of the i-th land sub-area within the town collected at the j-th time, where the value of i is 1-n and the value of j is 1-m.

[0061] In this embodiment, S4 includes the following specific steps:

[0062] S41. Calculate the light-heat synergy index of different land sub-areas within the town. The calculation formula is:

[0063] ;

[0064] in, represents the light-heat synergy index of the i-th land sub-region within the town. When , it indicates that the photothermal resonance is significant;

[0065] S42. Calculate the water-pollution synchronization coefficient for different land sub-areas within the town. The calculation formula is:

[0066] ;

[0067] in, represents the water-pollution synchronization coefficient of the i-th land sub-region within the town. When , water-pollution coupling is active.

[0068] In this embodiment, the S4 further includes:

[0069] S43. Calculate the coexistence intensity index of different land sub-areas within the town. The calculation formula is:

[0070] ;

[0071] in, Represents the coexistence intensity index of the i-th land sub-area within the town.

[0072] In this embodiment, the determination of the types of land remediation in different sub-regions within the town in S5 includes: and When , the i-th land sub-region in the town is judged to be heat-water coexistence inhibition type. and When , the i-th land sub-area in the town is judged to be water-pollution buffer type. and When , the i-th land sub-area in the town is judged as pollution-barrier improvement type, and other cases are judged as conventional quality improvement type.

[0073] In this embodiment, the specific content of matching the corresponding remediation path according to the remediation type in S5 is: when the i-th land sub-area in the town is of the heat-water coexistence inhibition type, the remediation path is to excavate a multi-layer insulation water storage ditch to store water - carry out evaporation irrigation - apply biochar to adsorb heavy metals in the soil; when the i-th land sub-area in the town is of the water-pollution buffer type, the remediation path is to intercept the runoff after industrial water intake, slow down the water flow rate - adsorb heavy metal ions in the runoff - perform segmented pretreatment of industrial water intake pulses; when the i-th land sub-area in the town is of the pollution-barrier-enhancement type, the remediation path is to set up a heavy metal barrier belt - inoculate heavy metal solidification microorganisms - deploy a sensor network to monitor the heavy metal concentration in soil leachate; when the i-th land sub-area in the town is of the conventional quality improvement type, the remediation path is to merge fragmented land - upgrade the irrigation and drainage system.

[0074] In this embodiment, S6 includes the following specific contents:

[0075] S61. When the i-th land sub-region in the town is of the heat-water coexistence inhibition type, the acceptance indicator is that the inhibition rate of the i-th land sub-region is greater than a first threshold. The calculation formula of the inhibition rate is: ;in, represents the coexistence intensity index of the i-th land sub-area within the town after land consolidation;

[0076] S62. When the i-th land sub-region in the town is of the water-pollution buffer type, the acceptance indicator is that the attenuation coefficient of the i-th land sub-region is greater than the second threshold. The calculation formula of the attenuation coefficient is: ;in, represents the increment of soil heavy metals in the i-th land sub-area within the town after land remediation;

[0077] S63. When the i-th land sub-region within the town is of the pollution-barrier-improvement type, the acceptance indicator is that the barrier efficiency of the i-th land sub-region is less than a third threshold. The calculation formula of the barrier efficiency is: Where C1 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town after land remediation, and C0 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town before land remediation;

[0078] S64. When the i-th land sub-region within the town is of conventional quality improvement type, the acceptance indicator is that the output value gain of the i-th land sub-region is greater than the fourth threshold. The calculation formula of the output value gain is: ; Among them, G is the land yield benchmark value, G1 is the yield of the i-th land sub-area in the town after land consolidation, and G0 is the yield of the i-th land sub-area in the town before land consolidation.

[0079] Example 2

[0080] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned town land consolidation type classification and path matching method based on industrial characteristics by calling the computer program stored in the memory.

[0081] This electronic device may vary significantly due to configuration or performance, and may include one or more processors (Central Processing Units, CPUs) and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the method for classifying township land consolidation types and matching paths based on industrial characteristics provided in the above-mentioned method embodiment. The electronic device may also include other components for implementing the device's functions. For example, the electronic device may also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment is not described in detail here.

[0082] Those skilled in the art will appreciate that the present invention may be implemented as a system, method, or computer program product. Therefore, the present disclosure may be implemented in the following forms: entirely in hardware, entirely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, the present invention may be implemented as a computer program product embodied in one or more computer-readable media containing computer-readable program code.

[0083] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0084] The present invention is described with reference to flowcharts and block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process or block in the flowcharts and block diagrams, as well as combinations of processes and blocks in the flowcharts or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts. Figure 1 A process or multiple processes and boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 A process or multiple processes and boxes Figure 1 The steps for the function specified in one or more boxes.

[0086] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which are all protected by the present invention.

Claims

1. A method for classifying and matching town-level land consolidation types based on industrial characteristics, characterized by: The specific steps include: S1. Preset a collection cycle, and obtain the vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town during each collection cycle. Simultaneously collect town land development and utilization parameters and land ecological quality parameters. The land development and utilization parameters include the proportion of industrial land, building density, and the proportion of multiple cropping of cultivated land. The land ecological quality parameters include vegetation coverage, soil organic matter content, and water area. S2. Perform range normalization on all collected data, and obtain the land use intensity factor and land ecological quality factor within the town based on the normalized land development and utilization parameters and land ecological quality parameters within the town; The calculation formulas for the land use intensity factor and land ecological quality factor in S2 are: ； ； Where F represents the land use intensity factor, is the normalized proportion of industrial land, is the normalized building density, is the normalized proportion of cultivated land under multiple cropping, E represents the land ecological quality factor, is the normalized vegetation coverage, is the normalized soil organic matter content, is the normalized proportion of water area; S3. Construct a three-dimensional tensor of light-heat-water-pollution coupling based on the normalized vegetation index, water withdrawal, industrial heat emission index, and soil heavy metal increment of different land sub-areas within the town; The S3 includes the following specific steps: S31. Extract the normalized vegetation index, water intake, industrial heat emission index, and soil heavy metal increment of different land sub-regions within the town, and construct a three-dimensional tensor of light-heat-water-pollution coupling. ; S32, the three-dimensional tensor of the light-heat-water-pollution coupling The calculation formula is: ； in, represents the normalized vegetation index of the i-th land sub-area within the town collected at the j-th time, represents the normalized industrial heat emission index of the i-th land sub-area within the town collected at the j-th time, represents the normalized water intake of the i-th land sub-area within the town collected at the j-th time, It represents the normalized increment of soil heavy metals in the i-th land sub-area within the town collected at the j-th time. When k=1, It represents the light-heat resonance intensity of the i-th land sub-area in the town collected at the jth time. When k=2, It represents the water-pollution coupling intensity of the i-th land sub-area within the town collected at the j-th time, where the value of i is 1-n and the value of j is 1-m; S4. Calculate the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town, and calculate the coexistence intensity index of different land sub-regions within the town based on the land use intensity factor, land ecological quality factor, and the light-heat synergy index and water-pollution synchronization coefficient of different land sub-regions within the town; S5. Determine the remediation type of different land sub-regions within the town based on the light-heat synergy index, water-pollution synchronization coefficient, and coexistence intensity index of different land sub-regions within the town, and match the corresponding remediation path according to the remediation type; S6. After completing land reclamation according to the corresponding remediation path, set different land reclamation acceptance indicators for evaluation.

2. The method for town land consolidation type classification and path matching based on industrial characteristics according to claim 1 is characterized by: The S4 includes the following specific steps: S41. Calculate the light-heat synergy index of different land sub-areas within the town. The calculation formula is: ； in, represents the light-heat synergy index of the i-th land sub-region within the town. When , it indicates that the photothermal resonance is significant; S42. Calculate the water-pollution synchronization coefficient for different land sub-areas within the town. The calculation formula is: ； in, represents the water-pollution synchronization coefficient of the i-th land sub-region within the town. When , water-pollution coupling is active.

3. The method for town land consolidation type classification and path matching based on industrial characteristics according to claim 2 is characterized by: Said S4 further comprises: S43. Calculate the coexistence intensity index of different land sub-areas within the town. The calculation formula is: ； in, Represents the coexistence intensity index of the i-th land sub-area within the town.

4. The method for town land consolidation type classification and path matching based on industrial characteristics according to claim 3 is characterized by: The judgment of the types of land renovation in different sub-regions within the town in S5 includes: and When , the i-th land sub-region in the town is judged to be heat-water coexistence inhibition type. and When , the i-th land sub-area in the town is judged to be water-pollution buffer type. and When , the i-th land sub-area in the town is judged as pollution-barrier improvement type, and other cases are judged as conventional quality improvement type.

5. The method for town land consolidation type classification and path matching based on industrial characteristics according to claim 4 is characterized by: The specific content of matching the corresponding remediation path according to the remediation type in S5 is: when the i-th land sub-area in the town is of the heat-water coexistence inhibition type, the remediation path is to dig a multi-layer insulation water storage ditch to store water - carry out evaporation irrigation - apply biochar to adsorb heavy metals in the soil; when the i-th land sub-area in the town is of the water-pollution buffer type, the remediation path is to intercept the runoff after industrial water intake, slow down the water flow rate - adsorb heavy metal ions in the runoff - perform segmented pretreatment of industrial water intake pulses; when the i-th land sub-area in the town is of the pollution-barrier-enhancement type, the remediation path is to set up a heavy metal barrier belt - inoculate heavy metal solidification microorganisms - deploy a sensor network to monitor the heavy metal concentration in soil leachate; when the i-th land sub-area in the town is of the conventional quality improvement type, the remediation path is to merge fragmented land - upgrade the irrigation and drainage system.

6. The method for town land consolidation type classification and path matching based on industrial characteristics according to claim 5 is characterized by: The S6 includes the following specific contents: S61. When the i-th land sub-region in the town is of the heat-water coexistence inhibition type, the acceptance indicator is that the inhibition rate of the i-th land sub-region is greater than a first threshold. The calculation formula of the inhibition rate is: ;in, represents the coexistence intensity index of the i-th land sub-area within the town after land consolidation; S62. When the i-th land sub-region in the town is of the water-pollution buffer type, the acceptance indicator is that the attenuation coefficient of the i-th land sub-region is greater than the second threshold. The calculation formula of the attenuation coefficient is: ;in, represents the increment of soil heavy metals in the i-th land sub-area within the town after land remediation; S63. When the i-th land sub-region within the town is of the pollution-barrier-improvement type, the acceptance indicator is that the barrier efficiency of the i-th land sub-region is less than a third threshold. The calculation formula of the barrier efficiency is: Where C1 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town after land remediation, and C0 is the concentration of heavy metals in the soil leachate of the i-th land sub-area within the town before land remediation; S64. When the i-th land sub-region within the town is of conventional quality improvement type, the acceptance indicator is that the output value gain of the i-th land sub-region is greater than the fourth threshold. The calculation formula of the output value gain is: ; Among them, G is the land yield benchmark value, G1 is the yield of the i-th land sub-area in the town after land consolidation, and G0 is the yield of the i-th land sub-area in the town before land consolidation.

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