分水岭
沉积物
构造盆地
自然地理学
水文学(农业)
环境科学
水流
地理
流域
空间变异性
大洪水
腐蚀
地质学
地貌学
地图学
统计
岩土工程
考古
机器学习
计算机科学
数学
作者
L.W. Guo,Chen Xl,KT Liao,Yi He,TH Zheng,XF Nie,BS Xu,LC Zhang,ZJ Luo
出处
期刊:Climate Research
[Inter-Research Science Center]
日期:2021-11-04
卷期号:85: 51-67
被引量:1
摘要
Expected increases in extreme rainfall events due to global warming could lead to increased soil erosion in mountainous areas. In order to study this impact on specific areas, the present study identified the spatiotemporal variation of erosive rainfall and the influence of its variation on streamflow and sediment discharge within the Ganjiang River Basin. Daily average rainfall data were obtained from 23 national meteorological observation stations along with streamflow and sediment concentration data collected for 1964-2013 at 6 control stations. The nonparametric Mann-Kendall method and Pettitt test were used for trend analysis and change-point detection, and the modified double mass curve method was used to quantify the effects of both erosive rainfall variation and human activities on hydrological regime shifts. Results showed significant monthly variation in erosive rainfall and significant increases in rainstorms over the entire watershed, particularly in the downstream subzone and northeast corner of the upstream subzone. While moderate rain showed an insignificant decrease in both subzones and the entire watershed, heavy rain showed no significant variation over the entire watershed but did show a significant increase in both the midstream and downstream subzones. The changes in accumulative erosive rainfall had only small effects on reduction in sediment discharge after the change-point year. In contrast, human activities contributed to more than 50% of the changes in sediment discharge in the entire basin. These findings provide a research basis for the study of extreme climate, flood disaster prevention, and soil erosion prediction over the entire watershed.
科研通智能强力驱动
Strongly Powered by AbleSci AI