中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China

文献类型:期刊论文

作者Zhang, Biao5,6; Fang, Haiyan2,3; Zhang, Guotao4; Li, Songqing5,6; Wu, Shufang5,6; Siddique, Kadambot H. M.1
刊名ECOLOGICAL INDICATORS
出版日期2025-03-01
卷号172页码:113259
关键词Flash flood Tianshan Mountains Spatial differentiation attribution Change driving mechanism Regional disaster management
ISSN号1470-160X
DOI10.1016/j.ecolind.2025.113259
产权排序3
文献子类Article
英文摘要The Tianshan Mountain in China (CTM), a critical water resource and climate change hotspot in Central Asia, faces escalating flash flood events due to global climate change and intensified human activities. This study applied the Geodetector (GD) to select driving factors with spatiotemporal variability of flash floods in the CTM from 1975 to 2015. The filtered drivers were integrated with historical flash flood data using the Geographically and Temporally Weighted Regression model (GTWR) to explore the spatiotemporal heterogeneity of the driving effects. Subsequently, the Partial Least Squares Structural Equation (PLS-SEM) was used to explore the direct and indirect influence pathways among driving factors. The analysis revealed a fluctuating upward trend in flash floods, accelerating after 1995 and showing different trends in various subregions after 2010. By the early 21st century, a symmetrical north-south distribution pattern emerged, with extreme precipitation events as the key driver. Terrain rainstorms were the main trigger in the eastern Tianshan Mountains (ETM), while landscape diversity, reduced snowmelt, and artificial flood control mitigated floods in the northern Tianshan Mountains (NSTM). The southern Tianshan Mountains (SSTM) experienced significant flood changes due to abundant precipitation. This study constructs a comprehensive analytical framework for investigating flash flood changes in the CTM by integrating GD, GTWR, and PLS-SEM models and proposes flash flood management strategies based on the identified mechanisms in different subzones.
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WOS关键词LAND-USE CHANGE ; HYDROLOGY ; PATTERNS ; XINJIANG ; RISK
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001435501700001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/213302]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Wu, Shufang
作者单位1.Univ Western Australia, UWA Inst Agr, Perth, WA 6001, Australia
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;
5.Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China;
6.Northwest A&F Univ, Key Lab Agr Soil & Water Engn Arid & Semiarid Area, Minist Educ, Yangling 712100, Shaanxi, Peoples R China;
推荐引用方式
GB/T 7714
Zhang, Biao,Fang, Haiyan,Zhang, Guotao,et al. Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China[J]. ECOLOGICAL INDICATORS,2025,172:113259.
APA Zhang, Biao,Fang, Haiyan,Zhang, Guotao,Li, Songqing,Wu, Shufang,&Siddique, Kadambot H. M..(2025).Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China.ECOLOGICAL INDICATORS,172,113259.
MLA Zhang, Biao,et al."Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China".ECOLOGICAL INDICATORS 172(2025):113259.

入库方式: OAI收割

来源:地理科学与资源研究所

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