Spatial-temporal evolution analysis and deep learning inversion of water-carbon-three-dimensional ecological footprint of urban agglomeration in the middle reaches of the Yangtze River

Abstract

The urban agglomeration in the Yangtze River’s middle reaches is a crucial location of China’s economic expansion. Urbanization construction is an important measure to improve human life style, encourage economic and social growth, and improve the level of science and technology. These changes have an impact on the natural environment at the same moment. This research did a detailed investigation on the correlation ecological footprint elements and the construction of three-dimensional ecological footprint model to explore the law of water carbon three-dimensional ecological footprint evolution and its depth-to-breadth learning inversion leads to the growth of cities in the middle reaches of the Yangtze River. The findings indicate that when promoting the process of urbanization, various human activities have a non-negligible impact on the ecological environment. We must pay close attention to environmental challenges as urbanization progresses since both the rise in people’s quality of life and the pace of urbanization would result in a continual growth in ecological footprint. And take scientific and effective measures for different problems to make sure the environment and urbanization are developed sustainably.