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- Title
Ecological Carrying Capacity Prediction of Huainan City Based on GM-BP Neural Network.
- Authors
LI Jiulin; GU Kangkang; CHU Jinlong; JIANG Benchuan; ANG Lin
- Abstract
Evaluation of ecological carrying capacity- is an important method of analyzing regional sustainable development, study on ecological carrying capacity is to settle the contradictions between resource and environment, and it is a significant basis for realizing regional sustainable development. This paper, on the basis of the academician Sun Tiehang's "unification of three" for the eco-city construction, established ecological carrying capacity evaluation indexes for the traditional industrial and mining city-Huainan City; and applied GM-BP neural network coupling model for the dynamic evolution and prediction of ecological carrying capacity of Huainan City- in the future decade. The results showed that ecological carrying capacity- index of Huainan would be 2.13 by 2025, higher than the loadable state 1, so the ecological carrying capacity would keep in the over-loaded level, but the over-loaded degree would be lower than the current Carrying capacity of arable land, energy and water resources contribute greatly to the improvement of ecological carrying capacity, thus it is imperative to adjust this unreasonable and unsustainable ecological consumption relationship, enhance environmental protection awareness and high-efficiency utilization of resources, and take an energy-saving and intensive development path.
- Subjects
HUAINAN Shi (China); ECOLOGICAL carrying capacity; ARTIFICIAL neural networks; SUSTAINABLE development; ENVIRONMENTAL indicators
- Publication
Journal of Landscape Research, 2016, Vol 8, Issue 1, p35
- ISSN
1943-989X
- Publication type
Article
- DOI
10.16785/j.issn1943-989x.2016.1.011