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DOI | 10.3390/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 |
EISSN | 2073-4441 |
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
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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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