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DOI10.3390/w16040521
Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin
Yue, Qi; Yu, Gao; Miao, Yu; Zhou, Yang
发表日期2024
EISSN2073-4441
起始页码16
结束页码4
卷号16期号:4
英文摘要Located in the Heilongjiang (Amur) River in north-east Asia, spanning four countries, plays a crucial role as an international border river, and its meteorological changes significantly impact the variation in water resources in the basin. This study utilizes daily average temperature and precipitation data from 282 meteorological stations in the Heilongjiang (Amur) River Basin and its surrounding areas for the period 1980-2022. The analysis employs spatial interpolation, change point testing, and model construction prediction methods. The results indicate a significant increasing trend in both overall temperature and precipitation changes within the Heilongjiang (Amur) River Basin. At the spatial scale, the annual warming rate increases gradually from the southeastern coastal region to the northwestern plateau region, while the rate of precipitation increase decreases from the southern area towards its surroundings. Temporally, the warming amplitude during the growing season decreases gradually from east to west, and the trend in precipitation changes during the growing season aligns with the overall annual precipitation trend. During the non-growing season, the warming trend shows a decrease in the plains and an increase in the plateau, while precipitation increase concentrates in the central and southern plains, and precipitation decrease predominantly occurs in the northwestern plateau region. Temperature and precipitation change points occurred in the years 2001 and 2012, respectively. In precipitation prediction, the Long Short-Term Memory (LSTM) model exhibits higher accuracy, with R (Pearson correlation coefficient) and NSE (Nash-Sutcliffe efficiency coefficient) values approaching 1 and lower NRSME values. This study provides a research foundation for the rational development and utilization of water resources in the Heilongjiang (Amur) River Basin and offers valuable insights for research on climate change characteristics in large transboundary river systems.
英文关键词Heilongjiang (Amur) River; temperature; precipitation; spatiotemporal distribution characteristics; abrupt change analysis; precipitation value prediction
语种英语
WOS研究方向Environmental Sciences & Ecology ; Water Resources
WOS类目Environmental Sciences ; Water Resources
WOS记录号WOS:001168445500001
来源期刊WATER
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/290352
作者单位Heilongjiang University; Heilongjiang University; North-Eastern Federal University in Yakutsk; Melnikov Permafrost Institute, Siberian Branch of the RAS; Russian Academy of Sciences
推荐引用方式
GB/T 7714
Yue, Qi,Yu, Gao,Miao, Yu,et al. Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin[J],2024,16(4).
APA Yue, Qi,Yu, Gao,Miao, Yu,&Zhou, Yang.(2024).Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin.WATER,16(4).
MLA Yue, Qi,et al."Analysis of Meteorological Element Variation Characteristics in the Heilongjiang (Amur) River Basin".WATER 16.4(2024).
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