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DOI	10.1016/j.scitotenv.2020.137042
	A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships
	Moeck, Christian 1; Grech-Cumbo, Nicolas 1; Podgorski, Joel 1; Bretzler, Anja 1; Gurdak, Jason J.2; Berg, Michael 1; Schirmer, Mario 1,3
通讯作者	Moeck, Christian
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2020
卷号	717
英文摘要	Groundwater recharge indicates the existence of renewable groundwater resources and is therefore an important component in sustainability studies. However, recharge is also one of the least understood, largely because it varies in space and time and is difficult to measure directly. For most studies, only a relatively small number of measurements is available, which hampers a comprehensive understanding of processes driving recharge and the validation of hydrogeological model formulations for small- and large-scale applications. We present a new global recharge dataset encompassing >5000 locations. In order to gain insights into recharge processes, we provide a systematic analysis between the dataset and other global-scale datasets, such as climatic or soil-related parameters. Precipitation rates and seasonality in temperature and precipitation were identified as the most important variables in predicting recharge. The high dependency of recharge on climate indicates its sensitivity to climate change. We also show that vegetation and soil structure have an explanatory power for recharge. Since these conditions can be highly variable, recharge estimates based only on climatic parameters may be misleading. The freely available dataset offers diverse possibilities to study recharge processes from a variety of perspectives. By noting the existing gaps in understanding, we hope to encourage the community to initiate new research into recharge processes and subsequently make recharge data available to improve recharge predictions. (C) 2020 Elsevier B.V. All rights reserved.
英文关键词	Groundwater recharge Groundwater quantity Global-scale dataset Arid regions Model validation
类型	Review
语种	英语
国家	Switzerland ; USA
收录类别	SCI-E
WOS记录号	WOS:000519994800007
WOS关键词	HIGH-PLAINS AQUIFER ; LAND-USE CHANGE ; CLIMATE-CHANGE ; KARST AQUIFERS ; NATIONAL-PARK ; SPATIAL VARIABILITY ; UNSATURATED ZONE ; MODEL COMPLEXITY ; RESIDENCE TIMES ; STABLE-ISOTOPE
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319116
作者单位	1.Eawag, Swiss Fed Inst Aquat Sci & Technol, Dept Water Resources & Drinking Water, Dubendorf, Switzerland; 2.San Francisco State Univ, Dept Earth & Climate Sci, San Francisco, CA 94132 USA; 3.Univ Neuchatel, Ctr Hydrogeol & Geotherm CHYN, Neuchatel, Switzerland
推荐引用方式 GB/T 7714	Moeck, Christian,Grech-Cumbo, Nicolas,Podgorski, Joel,et al. A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships[J],2020,717.
APA	Moeck, Christian.,Grech-Cumbo, Nicolas.,Podgorski, Joel.,Bretzler, Anja.,Gurdak, Jason J..,...&Schirmer, Mario.(2020).A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships.SCIENCE OF THE TOTAL ENVIRONMENT,717.
MLA	Moeck, Christian,et al."A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships".SCIENCE OF THE TOTAL ENVIRONMENT 717(2020).