Author(s): Zhiwen Yang; Jia Chen; Lingkui Meng; Penghui Ma; Bingjie Liang; Yumiao Fan; Jian Yang; Changji Song; Ming Jing
Linked Author(s):
Keywords: Correlation analysis; GEE; Lake changes; Surface water; Spatial heterogeneity; The North-south boundary
Abstract: As one of the important water resources, Lake has both ecological and social functions, and is an indispensable component of the Earth's environmental system. The dynamic monitoring of lakes is very necessary to study the regional hydrological characteristics. Based on GEE platform, this paper extracts and analyzes the long-term changes of lakes in China by using surface water data set and lake data set. First, lake masks of different ages are generated from the lake data set. Secondly, use mask to extract the monthly lake data in China, and then carry out data cleaning on the lake data. Finally, the lake change trend of the whole country and every province is analyzed, and the correlation of lake change among every province is calculated. Thus, the north-south boundary of the hydrological difference of lakes in China is obtained. The findings are as follows: 1) the lake area in China showed a trend of first decreasing and then increasing, which was a trough in 2012.2) most of the lakes in the northern provinces showed the trend of first rising, then falling, then rising, while most of the lakes in the southern provinces showed the trend of first falling, then rising or smooth trend of change. In addition, there are some western provinces have been rising. 3) on the large spatial scale, the north of Shandong, Henan, Shaanxi and Gansu is the northern region, while the south of Jiangsu, Anhui, Hubei and Sichuan is the southern region. The changes of lakes in the north and the south show obvious spatial heterogeneity. The study in this paper is of great significance to reveal the changes and spatial distribution of lakes in China, and even to the study of hydrological regional boundaries in China.
DOI: https://doi.org/10.3850/iahr-hic2483430201-449
Year: 2024