气候变化领域集成服务门户(CCPortal): Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin; China

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DOI	10.5194/hess-22-889-2018
	Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin; China
	Fluixá-Sanmartín J.; Pan D.; Fischer L.; Orlowsky B.; Garciá-Hernández J.; Jordan F.; Haemmig C.; Zhang F.; Xu J.
发表日期	2018
ISSN	1027-5606
起始页码	889
结束页码	910
卷号	22 期号:1
英文摘要	Drought indices based on precipitation are commonly used to identify and characterize droughts. Due to the general complexity of droughts, the comparison of index-identified events with droughts at different levels of the complete system, including soil humidity or river discharges, relies typically on model simulations of the latter, entailing potentially significant uncertainties. The present study explores the potential of using precipitation-based indices to reproduce observed droughts in the lower part of the Jinsha River basin (JRB), proposing an innovative approach for a catchment-wide drought detection and characterization. Two indicators, namely the Overall Drought Extension (ODE) and the Overall Drought Indicator (ODI), have been defined. These indicators aim at identifying and characterizing drought events on the basin scale, using results from four meteorological drought indices (standardized precipitation index, SPI; rainfall anomaly index, RAI; percent of normal precipitation, PN; deciles, DEC) calculated at different locations of the basin and for different timescales. Collected historical information on drought events is used to contrast results obtained with the indicators. This method has been successfully applied to the lower Jinsha River basin in China, a region prone to frequent and severe droughts. Historical drought events that occurred from 1960 to 2014 have been compiled and cataloged from different sources, in a challenging process. The analysis of the indicators shows a good agreement with the recorded historical drought events on the basin scale. It has been found that the timescale that best reproduces observed events across all the indices is the 6-month timescale. © 2017 Author.
语种	英语
scopus关键词	Catchments; Precipitation (meteorology); Rivers; Watersheds; Drought detection; Historical information; Innovative approaches; Jinsha River basins; Meteorological drought; Model simulation; Rainfall anomaly; Standardized precipitation index; Drought; catchment; complexity; humidity; index method; precipitation (climatology); river discharge; China; Jinsha River
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160116
作者单位	Fluixá-Sanmartín, J., Centre de Recherche sur l'Environnement Alpin, Sion, 1951, Switzerland; Pan, D., Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan Hubei, 430010, China; Fischer, L., GEOTEST AG, Zollikofen, 3052, Switzerland; Orlowsky, B., Department of Climate-Babel, Zurich, 8047, Switzerland; Garciá-Hernández, J., Centre de Recherche sur l'Environnement Alpin, Sion, 1951, Switzerland; Jordan, F., Hydrique Ingénieurs, Le Mont-sur-Lausanne, 1052, Switzerland; Haemmig, C., GEOTEST AG, Zollikofen, 3052, Switzerland; Zhang, F., Bureau of Hydrology Changjiang Water Resources Commission, Wuhan Hubei, 430017, China; Xu, J., Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, Wuhan Hubei, 430010, China
推荐引用方式 GB/T 7714	Fluixá-Sanmartín J.,Pan D.,Fischer L.,et al. Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin; China[J],2018,22(1).
APA	Fluixá-Sanmartín J..,Pan D..,Fischer L..,Orlowsky B..,Garciá-Hernández J..,...&Xu J..(2018).Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin; China.Hydrology and Earth System Sciences,22(1).
MLA	Fluixá-Sanmartín J.,et al."Searching for the optimal drought index and timescale combination to detect drought: A case study from the lower Jinsha River basin; China".Hydrology and Earth System Sciences 22.1(2018).