Assessing Urban Ecosystem Health in Diverse Climate Zones: A Hybrid Model Approach for Regional Sustainability
Haiyan Huang12  Yuesheng Huang2   Jiayin Liu2   Zhuoyi Chen2

1.Research Center of the Economy of the upper Reaches of Yangtze River, Chongqing Technology and Business University, China, 400067;

2.Guangdong Polytechnic Normal University, China, 510665;

Abstract：Ecosystem health is a necessary condition for the survival and development of the population in the settlement system and the basis for regional sustainable development. Ecosystem health assessment is one of the hot topics in ecological research. This study analyzed the multidimensional factors of the ecosystem in six typical provinces with large populations in different climate zones from 2013 to 2021, Its innovation lies in the ingenious integration of multiple mathematical models and algorithms, the use of descriptive statistical analysis, principal component analysis, T-SNE weight solution and other methods, combined with a comprehensive evaluation scheme based on DDP dynamic programming and T-S fuzzy neural network, to achieve a comprehensive and accurate evaluation of the urban ecosystem. The study shows that the forest ecosystem index, water resource ecosystem index, and atmospheric ecosystem index are highly correlated with urban ecological health. At the same time, the ecological ecological assessment results of different provinces vary greatly, and it is necessary to set up optimized system management according to local conditions.

Keywords: Urban ecosystem; T-SNE GCC-PHAT dynamic programming; T-S fuzzy neural network; Provincial differences

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