| Title | Ecological environment value assessment and ecological civilization in the Changjiang River basin |
|---|---|
| ID_Doc | 29803 |
| Authors | Ma, ZL; Guo, X |
| Title | Ecological environment value assessment and ecological civilization in the Changjiang River basin |
| Year | 2024 |
| Published | Water And Environment Journal, 38.0, 1 |
| Abstract | With the rapid growth of urbanization and industrialization, the strain on resources and the environment has intensified, resulting in challenges such as soil erosion and biodiversity loss. To address these issues, the development of a circular economy and eco-cities has become crucial. This article proposes an ecosystem assessment model based on the backpropagation neural network (BPNN) that incorporates environmental carrying capacity and energy regeneration capacity. The model aims to evaluate the ecological service value of wetlands in the Changjiang River basin. The results demonstrate that the proposed model outperforms other comparison methods, exhibiting a high level of accuracy. Furthermore, the simulation outcomes indicate that enhancing eco-efficiency can enhance the environmental carrying capacity and energy regeneration capacity of the ecosystem, ultimately leading to an overall improvement in ecosystem value. Proposed BPNN model evaluates ecological value of Changjiang River wetlands.Model outperforms other methods with high accuracy in ecosystem assessment.Enhancing eco-efficiency improves environmental carrying and energy regeneration.Addressing ecosystem challenges is key to global progress and peace.AI-based BPNN system aids informed decisions on urban ecology and environment. |
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