Evaluation of land resources carrying capacity based on entropy weight and cloud similarity

Abstract

Abstract Land is the foundation of human life and development, which is also the most important part of a country. The study of land carrying capacity is one of the important contents of land management, wherein the evaluation of land resource carrying capacity (LRCC) is an important reference for land resource planning. Aiming at the information fuzziness and uncertainty in the evaluation of LRCC, firstly, a comprehensive evaluation model based on entropy weight and normal cloud similarity was proposed, which is based on cloud model theory and combined with normal cloud similarity measurement method and entropy weight method. Secondly, taking the asphalt pavement experiment as an example for empirical analysis, the experimental results are consistent with the actual situation, which proves the feasibility and effectiveness of the proposed model. Finally, taking Chongqing city as the research area, the proposed evaluation model is used to study LRCC of Chongqing. The research results indicate that the comprehensive carrying capacity and average carrying capacity of various systems in Chongqing have been improved in the past decade. In the future, it is necessary to focus on the improvement of soil and water resources system and economic and technological system. This conclusion reflects LRCC of Chongqing objectively and has a reference value for Chongqing's land planning.