Abstract
During the rapid economic development of China, there are certain blind decisions made in the use of land resources, which poses a significant threat to sustainable development. With the help of the improved convolutional neural network model, this paper analyzes the land use of the Beijing-Tianjin-Hebei region of China from 1995 to 2018, and provides a prediction for 2023. The research results show that: (1) There is still much room for improvement in the land use of the Beijing-Tianjin-Hebei region, with dry land taking up the largest proportion of land in these three locations; (2) Beijing’s development has been well protected in terms of land use. It is predicted that by 2023, the proportions of its woodland, grassland, and rivers, lakes, reservoirs and ponds would increase by 0.26%, 0.30%, and 0.61%, respectively, compared with their proportion in 2018; (3) the land use type in Tianjin during the research period was generally stable. In 2018, the proportion of its woodland and grassland had increased by 1.04% and 0.61%, respectively, compared with that of 1995; and (4) many ecological and environmental problems were exposed during the construction of highways in Hebei province. The area of sand land, saline-alkali land, marshland, bare land, and bare rock areas have all increased, and their total proportion is predicted to reach 1.48% by 2023.
Highlights
Sustainable development can be defined as “development that can meet the needs of contemporary people without compromising the ability of future generations to meet their needs [1].” The sustainable development of a country or region considers its land resource, which is a critical material basis for economic growth and social activities, and is of great significance to the sustainable development of the society, economy, and ecological environment
Yang and Li studied the relationship between energy efficiency, ownership structure, and sustainable development in China [2]; Jónsson et al used soil indicators for sustainable development [3]; Edrisi and Tripathi studied how to manage soil resources to realize sustainable development [4]; Asimeh et al analyzed the consolidation plans for agricultural land use sustainability in southwest Iran [5]; and Yang and Li analyzed the efficiency of industrial waste gas control in China [6]
The convolutional neural network (CNN) is a neural network applied to image processing [39,40]
Summary
Sustainable development can be defined as “development that can meet the needs of contemporary people without compromising the ability of future generations to meet their needs [1].” The sustainable development of a country or region considers its land resource, which is a critical material basis for economic growth and social activities, and is of great significance to the sustainable development of the society, economy, and ecological environment. The sustainable development of a country or region considers its land resource, which is a critical material basis for economic growth and social activities, and is of great significance to the sustainable development of the society, economy, and ecological environment. Since the 1990s, China has achieved world-renowned rapid development. In this process, driven by the motivation to seek short-term economic benefits, certain regions of China have made blind decisions in the use of land resources that is not scientific. Land is often over-developed amid rapid economic growth—resources are wasted, and the entire ecological environment suffers damages, as discussed below:
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