气候变化领域集成服务门户(CCPortal): Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model

CCPortal

DOI	10.1007/s11069-021-04854-y
	Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model
	Kim J.E.; Yu J.; Ryu J.-H.; Lee J.-H.; Kim T.-W.
发表日期	2021
ISSN	0921030X
英文摘要	Due to the complex characteristics of drought, drought risk needs to be quantified by combining drought vulnerability and drought hazard. Recently, the major focus in drought vulnerability has been on how to calculate the weights of indicators to comprehensively quantify drought risk. In this study, principal component analysis (PCA), a Gaussian mixture model (GMM), and the equal-weighting method (EWM) were applied to objectively determine the weights for drought vulnerability assessment in Chungcheong Province, located in the west-central part of South Korea. The PCA provided larger weights for agricultural and industrial factors, whereas the GMM computed larger weights for agricultural factors than did the EWM. The drought risk was assessed by combining the drought vulnerability index (DVI) and the drought hazard index (DHI). Based on the DVI, the most vulnerable region was CCN9 in the northwestern part of the province, whereas the most drought-prone region based on the DHI was CCN12 in the southwest. Considering both DVI and DHI, the regions with the highest risk were CCN12 and CCN10 in the southern part of the province. Using the proposed PCA and GMM, we validated drought vulnerability using objective weighting methods and assessed comprehensive drought risk considering both meteorological hazard and socioeconomic vulnerability. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	Copula Drought EWM GMM Hazard PCA Risk Vulnerability
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206329
作者单位	Department of Civil and Environmental System Engineering, Hanyang University, Seoul, 04763, South Korea; Yeongsangang and Seomjingang Rivers Basin Head Office, K-water, Gwangju, 61949, South Korea; Department of Civil Engineering, Joongbu University, Goyang, 10279, South Korea; Department of Civil and Environmental Engineering, Hanyang University, Ansan, 15588, South Korea
推荐引用方式 GB/T 7714	Kim J.E.,Yu J.,Ryu J.-H.,et al. Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model[J],2021.
APA	Kim J.E.,Yu J.,Ryu J.-H.,Lee J.-H.,&Kim T.-W..(2021).Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model.Natural Hazards.
MLA	Kim J.E.,et al."Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model".Natural Hazards (2021).