干旱区生态环境知识资源中心(Arid): Interpreting and modelling the daily extreme sediment events in karst mountain watersheds

Arid

DOI	10.1016/j.scitotenv.2024.171956
	Interpreting and modelling the daily extreme sediment events in karst mountain watersheds
	Jing, Jun; Li, Rui; Xiao, Linlv; Shu, Dongcai; Yang, Pingping
通讯作者	Li, R
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2024
卷号	926
英文摘要	Increasingly frequent extreme rainfall as a result of climate change is strongly damaging the global soil and water environment. However, few studies have focused on daily extreme sediment events (DESE) in heterogeneous karst watersheds based on long-term in -situ observations. This study quantitatively assessed the time effect of DESE on rainfall response, decoupled the impact of environmental factors on DESE by using structural equation modelling, and finally explored the modelling scheme of DESE based on the hybrid model. The results showed that DESE had the highest frequency of occurrence in May -July, with dispersed distribution in the value domain. Rainfall with a time lag of 1 day and a time accumulation of 2 or 3 days was an important contribution to DESE ( P < 0.01, R = 0.47 -0.68). Combined effects of environmental factors explained 53.6 % -64.1 % of the variation in DESE. Runoff and vegetation exerted the strongest direct and indirect effects on DESE, respectively (8 = 0.66/ -0.727). Vegetation was the dominant driver of DESE in Dabanghe and Yejihe (8 = -0.725/-0.758), while the dominant driver in Tongzhihe was climate (8 = 0.743). In the future, the risk of extreme sediments should be prevented and resolved through the comprehensive regulation of multiple paths, such as runoff and vegetation. Hybrid models significantly improved the modelling performance of machine learning models. Generalized additive model -Extreme gradient boost had the best performance, while Partial least squares regression -Extreme gradient boost was the most valuable when considering performance and input data cost. Two methods can be used as recommended solutions for DESE modelling. This study provides new and in-depth insights into DESE in
英文关键词	Time effects Impact factors Hybrid model Karst system Soil erosion
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001222452200001
WOS关键词	ROCKY DESERTIFICATION ; EROSION ; RUNOFF ; UNCERTAINTY ; MORPHOLOGY ; FISSURES ; DELIVERY ; RAINFALL ; BASIN ; CAVE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405484
推荐引用方式 GB/T 7714	Jing, Jun,Li, Rui,Xiao, Linlv,et al. Interpreting and modelling the daily extreme sediment events in karst mountain watersheds[J],2024,926.
APA	Jing, Jun,Li, Rui,Xiao, Linlv,Shu, Dongcai,&Yang, Pingping.(2024).Interpreting and modelling the daily extreme sediment events in karst mountain watersheds.SCIENCE OF THE TOTAL ENVIRONMENT,926.
MLA	Jing, Jun,et al."Interpreting and modelling the daily extreme sediment events in karst mountain watersheds".SCIENCE OF THE TOTAL ENVIRONMENT 926(2024).