CN-121998252-A - Quantitative identification method and related device for influence of water resource bearing capacity driving factors

CN121998252ACN 121998252 ACN121998252 ACN 121998252ACN-121998252-A

Abstract

The application provides a quantitative identification method and a related device for influence of driving factors of water resource bearing capacity, and relates to the field of hydrology ecology. The method comprises the steps of dividing a region to be analyzed into a plurality of subareas by electronic equipment, taking each subarea as a target subarea, determining a plurality of adjacent subareas from the plurality of subareas, dividing the target subarea and the plurality of adjacent subareas into a plurality of regional sets according to respective water resource bearing capacity indexes, and obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the plurality of adjacent subareas and the target subareas on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each regional set. Thus, compared with the analysis of taking the whole research area as a statistical whole, the method solves the problem of neglecting geographic local differences due to the dependence on global stationarity assumption.

Inventors

LI ZONGSHENG
ZHANG CAIXIA
GUI JUAN
DU FA
HAN JIANGZHE
YANG JINGJING

Assignees

中国科学院西北生态环境资源研究院

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The quantitative identification method for the influence of the driving factors of the water resource bearing capacity is characterized by comprising the following steps: Dividing a region to be analyzed into a plurality of subareas, taking each subarea as a target subarea, and determining a plurality of adjacent subareas from the plurality of subareas; Dividing the target subarea and the plurality of adjacent subareas into a plurality of area sets according to respective water resource bearing capacity indexes, wherein the plurality of area sets are in one-to-one correspondence with a plurality of water resource bearing capacity intervals; and obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the multiple adjacent subareas and the target subareas on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each area set.
2. The method for quantitatively identifying influence of driving factors of water resource bearing capacity according to claim 1, wherein obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the plurality of adjacent subareas and the target subarea on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each area set comprises the following steps: Acquiring a plurality of water resource bearing capacity indexes of the plurality of adjacent subareas and the target subarea, and taking variances among the plurality of water resource bearing capacity indexes as the integral discrete indexes; Respectively acquiring a plurality of factor indexes of the factors to be analyzed in each regional set, and taking variances among the plurality of factor indexes as local discrete indexes in each regional set; and obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete index and the local discrete indexes of the plurality of regional sets.
3. The method for quantitatively identifying influence of driving factors of water resource bearing capacity according to claim 2, wherein obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete index and the local discrete indexes of the plurality of regional sets comprises: Acquiring the ratio between the sum of the local discrete indexes of the plurality of regional sets and the integral discrete index; and obtaining the association degree according to the ratio, wherein the ratio is inversely related to the association degree.
4. The method for quantitatively identifying the influence of water resource bearing capacity driving factors according to claim 3, wherein the relation between the ratio and the association degree satisfies the following conditions: in the formula, The degree of association is indicated by the degree of association, Which is indicative of the ratio of the values, A sum of local discrete indicators representing a plurality of regional sets, Representing the overall discrete index.
5. The method for quantitatively identifying the influence of driving factors of water resource bearing capacity according to claim 1, wherein before the overall discrete index of the water resource bearing capacity according to the plurality of adjacent subareas and the target subarea, and the local discrete index of the factors to be analyzed in each of the areas, the method further comprises: acquiring original factor indexes corresponding to the factors to be analyzed in the areas to be analyzed; And converting the original factor indexes into Albers equal-area projections, sampling to the resolution corresponding to each subarea by adopting an interpolation method, and obtaining the factor indexes of each subarea.
6. The method for quantitatively identifying influence of driving factors of water resource bearing capacity according to claim 1, wherein the factors to be analyzed are any one of factor sets including total water resource amount, precipitation amount, evaporation amount, land water reserve, groundwater, night light and soil humidity.
7. The method for quantitatively identifying the influence of water resource bearing capacity driving factors according to claim 1, further comprising: generating a correlation degree spatial distribution map according to the correlation degree corresponding to the plurality of sub-regions; and determining a hot spot area and a cold spot area from the association degree space distribution.
8. A quantitative identification device for influence of driving factors of water resource bearing capacity, which is characterized by comprising: the region segmentation module is used for dividing a region to be analyzed into a plurality of sub-regions, taking each sub-region as a target sub-region and determining a plurality of adjacent sub-regions from the plurality of sub-regions; The region classification module is used for dividing the target subarea and the plurality of adjacent subareas into a plurality of region sets according to respective water resource bearing capacity indexes, wherein the plurality of region sets are in one-to-one correspondence with a plurality of water resource bearing capacity intervals; And the factor evaluation module is used for obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the multiple adjacent subareas and the target subareas on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each area set.
9. A storage medium storing a computer program which, when executed by a processor, implements the method for quantitatively identifying the impact of a water resource load bearing capacity driving factor according to any one of claims 1 to 7.
10. An electronic device comprising a processor and a memory, the memory storing a computer program that, when executed by the processor, implements the method of quantitatively identifying the impact of the water resource load bearing capacity driving factor of any one of claims 1-7.

Description

Quantitative identification method and related device for influence of water resource bearing capacity driving factors Technical Field The application relates to the field of hydrology ecology, in particular to a quantitative identification method and a related device for influence of driving factors of water resource bearing capacity. Background The water resource bearing capacity influencing factors refer to natural and artificial factors capable of significantly changing the water resource supporting capacity of the area. Therefore, the influence factors of the water resource bearing capacity can be studied to identify which factors dominate the water resource bearing capacity in what space position and with what strength, so that a scientific basis is provided for the optimal allocation of the water resource. However, the prior art relies on global stationarity assumptions to ignore local variation characteristics of the geographic process, making analysis of influencing factors unreasonable. Disclosure of Invention In order to overcome at least one defect in the prior art, the application provides a quantitative identification method and a related device for influence of driving factors of water resource bearing capacity, which can more accurately identify which factors play a leading role on the water resource bearing capacity on a local scale by dividing a plurality of regional sets based on the water resource bearing capacity index, and effectively solve the problem of neglecting geographic local differences due to the dependence on global stationarity assumption compared with the analysis of taking the whole research region as a statistical whole. In a first aspect, the present application provides a method for quantitatively identifying influence of driving factors of water resource bearing capacity, the method comprising: Dividing a region to be analyzed into a plurality of subareas, taking each subarea as a target subarea, and determining a plurality of adjacent subareas from the plurality of subareas; Dividing the target subarea and the plurality of adjacent subareas into a plurality of area sets according to respective water resource bearing capacity indexes, wherein the plurality of area sets are in one-to-one correspondence with a plurality of water resource bearing capacity intervals; and obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the multiple adjacent subareas and the target subareas on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each area set. In a second aspect, the present application provides a quantitative recognition device for influence of driving factors of water resource bearing capacity, the device comprising: the region segmentation module is used for dividing a region to be analyzed into a plurality of sub-regions, taking each sub-region as a target sub-region and determining a plurality of adjacent sub-regions from the plurality of sub-regions; The region classification module is used for dividing the target subarea and the plurality of adjacent subareas into a plurality of region sets according to respective water resource bearing capacity indexes, wherein the plurality of region sets are in one-to-one correspondence with a plurality of water resource bearing capacity intervals; And the factor evaluation module is used for obtaining the association degree of the factors to be analyzed on the water resource bearing capacity according to the integral discrete indexes of the multiple adjacent subareas and the target subareas on the water resource bearing capacity and the local discrete indexes of the factors to be analyzed in each area set. In a third aspect, the present application provides a storage medium storing a computer program, where the computer program implements the quantitative recognition method of the influence of the water resource bearing capacity driving factor under the condition of being executed by a processor. In a fourth aspect, the present application provides an electronic device, where the electronic device includes a processor and a memory, where the memory stores a computer program, where the computer program implements the method for quantitatively identifying the influence of the driving factor of the water resource bearing capacity under the condition that the computer program is executed by the processor. Compared with the prior art, the application has the following beneficial effects: According to the quantitative identification method and the quantitative identification device for the influence of the driving factors of the water resource bearing capacity, the electronic equipment divides the area to be analyzed into a plurality of subareas, each subarea is used as a target subarea, a plurality of adjacent subareas are determined from the plurality of subareas, the target subarea and the