气候变化领域集成服务门户(CCPortal): A non-stationary impactquant framework for assessing the human activity impacts on hydrological drought in the Upper Red River

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DOI	10.1016/j.atmosres.2024.107419
	A non-stationary impactquant framework for assessing the human activity impacts on hydrological drought in the Upper Red River
	Leng, Jiwei; Ma, Kai; Gu, Shixiang; Zhang, Kaiwen; He, Daming
发表日期	2024
ISSN	0169-8095
EISSN	1873-2895
起始页码	304
卷号	304
英文摘要	Hydrological drought (HD) in dynamic environments, particularly complicated by climate change and human activity, challenges traditional stationary -based research approaches. These challenges are particularly pronounced in the Upper Red River Basin characterized by complex topography and extensive human activity. To these issues, this study introduces non-stationarity in determining drought propagation time and develops a NonStationary ImpactQuant Framework (NSIQF) to assess human activity impacts on HD's frequency and propagation processes. Implementing non-stationarity involves using the Generalized Additive Models for Location, Scale, and Shape to construct the Non -stationary Standardized Runoff Index (NSRI), which is employed for attribution analysis and determining drought propagation time. We systematically quantified human activity impacts by comparing NSRI with drought indices and propagation time derived from reconstructed natural runoff. Our findings indicate that the NSRI is more adept at capturing drought characteristics in changing environments than the traditional Standardized Runoff Index. The human activity impacts on HD in the study area exhibits distinct temporal characteristics. Human activity contributed to 42.64% of the HD at 12 -month scales, and 29.28%, 17.68%,19.14%, and 24.82% in spring, summer, autumn, and winter, respectively. They prolonged the propagation time from meteorological drought to HD by 1-5 months. Land use change is a potential primary anthropogenic factor. Effective management and strategic interventions for predominantly agricultural activity constitute viable solutions to alleviate regional drought and enhance drought resistance.
英文关键词	Hydrological drought; Human activity; Drought Propagation; Non-stationarity; Red River; NSRI
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:001230433400001
来源期刊	ATMOSPHERIC RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/288587
作者单位	Yunnan University; Yunnan University
推荐引用方式 GB/T 7714	Leng, Jiwei,Ma, Kai,Gu, Shixiang,et al. A non-stationary impactquant framework for assessing the human activity impacts on hydrological drought in the Upper Red River[J],2024,304.
APA	Leng, Jiwei,Ma, Kai,Gu, Shixiang,Zhang, Kaiwen,&He, Daming.(2024).A non-stationary impactquant framework for assessing the human activity impacts on hydrological drought in the Upper Red River.ATMOSPHERIC RESEARCH,304.
MLA	Leng, Jiwei,et al."A non-stationary impactquant framework for assessing the human activity impacts on hydrological drought in the Upper Red River".ATMOSPHERIC RESEARCH 304(2024).