干旱区生态环境知识资源中心(Arid): Optimization of Hydrologic Response Units (HRUs) Using Gridded Meteorological Data and Spatially Varying Parameters

Arid

DOI	10.3390/w12123558
	Optimization of Hydrologic Response Units (HRUs) Using Gridded Meteorological Data and Spatially Varying Parameters
	Poblete, David; Arevalo, Jorge; Nicolis, Orietta; Figueroa, Felipe
通讯作者	Poblete, D (corresponding author), Univ Valparaiso, Sch Civil Engn, Valparaiso 2340000, Chile.
来源期刊	WATER
EISSN	2073-4441
出版年	2020
卷号	12 期号:12
英文摘要	Although complex hydrological models with detailed physics are becoming more common, lumped and semi-distributed models are still used for many applications and offer some advantages, such as reduced computational cost. Most of these semi-distributed models use the concept of the hydrological response unit or HRU. In the original conception, HRUs are defined as homogeneous structured elements with similar climate, land use, soil and/or pedotransfer properties, and hence a homogeneous hydrological response under equivalent meteorological forcing. This work presents a quantitative methodology, called hereafter the principal component analysis and hierarchical cluster analysis or PCA/HCPC method, to construct HRUs using gridded meteorological data and hydrological parameters. The PCA/HCPC method is tested using the water evaluation and planning system (WEAP) model for the Alicahue River Basin, a small and semi-arid catchment of the Andes, in Central Chile. The results show that with four HRUs, it is possible to reduce the relative within variance of the catchment up to about 10%, an indicator of the homogeneity of the HRUs. The evaluation of the simulations shows a good agreement with streamflow observations in the outlet of the catchment with an Nash-Sutcliffe efficiency (NSE) value of 0.79 and also shows the presence of small hydrological extreme areas that generally are neglected due to their relative size.
英文关键词	hydrologic response units principal component analysis hierarchical cluster analysis PCA HCPC method
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000602801800001
WOS关键词	CLIMATE-CHANGE ; R-PACKAGE ; MODEL ; DISCRETIZATION ; WATER
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369218
作者单位	[Poblete, David] Univ Valparaiso, Sch Civil Engn, Valparaiso 2340000, Chile; [Arevalo, Jorge] Univ Valparaiso, Dept Meteorol, Valparaiso 2340000, Chile; [Arevalo, Jorge] Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USA; [Nicolis, Orietta] Univ Andres Bello, Fac Engn, Vina Del Mar 2520000, Chile; [Nicolis, Orietta] Res Ctr Integrated Disaster Risk Management CIGID, ANID FONDAP 15110017, Santiago 8320000, Chile; [Figueroa, Felipe] Plataforma Invest Ecohidrol & Ecohidraul EcoHyd, Santiago 8320000, Chile
推荐引用方式 GB/T 7714	Poblete, David,Arevalo, Jorge,Nicolis, Orietta,et al. Optimization of Hydrologic Response Units (HRUs) Using Gridded Meteorological Data and Spatially Varying Parameters[J]. University of Arizona,2020,12(12).
APA	Poblete, David,Arevalo, Jorge,Nicolis, Orietta,&Figueroa, Felipe.(2020).Optimization of Hydrologic Response Units (HRUs) Using Gridded Meteorological Data and Spatially Varying Parameters.WATER,12(12).
MLA	Poblete, David,et al."Optimization of Hydrologic Response Units (HRUs) Using Gridded Meteorological Data and Spatially Varying Parameters".WATER 12.12(2020).