Water resource bearing capacity evaluation method

Abstract

The invention discloses a water resource bearing capacity evaluation method, which comprises the following steps of: acquiring indexes appearing in a specified place, deleting the indexes based on a collection condition of target water resource region index data to form an initial index library, and then dividing the initial indexes in the initial index library into different subsystem indexes according to index characteristics; according to the method, the target water resource bearing capacity is evaluated, the indexes of the subsystems are subjected to R clustering, then the indexes are screened through the index variation coefficient to obtain the evaluation indexes, and finally the target water resource bearing capacity is evaluated based on the evaluation indexes, so that the evaluation indexes are selected more objectively, the evaluation process conforms to the uncertainty and fuzziness characteristics of water resource bearing capacity evaluation, and the water resource bearing capacity evaluation accuracy is improved. And the evaluation on the water resource bearing capacity is more accurate.

Description

technical field [0001] The invention belongs to the technical field of water resources, and in particular relates to a water resource carrying capacity evaluation method. Background technique [0002] Due to factors such as population growth, economic development and changes in consumption patterns, the global demand for water resources is growing rapidly, and this growth rate will be greatly accelerated in the next two decades. The Food and Agriculture Organization of the United Nations predicts that by 2030, 47% The world's population will live in areas with severe water shortages. It can be seen that the rapid development of the global economy and society has put great pressure on the carrying capacity of water resources, and the contradiction between supply and demand is very prominent. Determining the carrying capacity of water resources and identifying the status of water resources are the key to improving water resources. Premises and foundations of the resource situa...

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Problems solved by technology

[0003] In the existing technology, the evaluation index system is usually directly selected by reference to the existing research. However, since the water resource carrying capacity involves many aspects, it is easy to include too many indicators and it is not convenient for research. For dimensionality reduction, in the prior art, the index system is usually constructed from the perspectives of pressure and pressure, the relationship between subsystems, the carrying subject and the carrying object, etc.

[0004] Although the current research results on water resources carrying capacity are rich and diverse and tend to be mature, there are still some problems. First, the subjective influence is relatively large when selecting indicators to construct the evaluation index system, and there are direct transfer of indicators between research areas with different characteristics. It is unreasonable, and there is a lack of selection methods for water resources carrying capacity indicators for specific research areas. Commonly used index dimensionality reduction processing methods have defects, such as principal component analysis, which relies on urgent data quality, and sensitivity analysis needs to be calculated before dimensionality reduction indicators. The size of the carrying capacity and the selection of hierarchical clustering are too subjective for the division of clustering conditions, which leads to unreasonable or large errors in the evaluation results of water resources carrying capacity

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