DOI: 10.1016/j.scitotenv.2020.137042
论文题名: A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships
作者: Moeck C. ; Grech-Cumbo N. ; Podgorski J. ; Bretzler A. ; Gurdak J.J. ; Berg M. ; Schirmer M.
刊名: Science of the Total Environment
ISSN: 489697
出版年: 2020
卷: 717 语种: 英语
英文关键词: Arid regions
; Global-scale dataset
; Groundwater quantity
; Groundwater recharge
; Model validation
Scopus关键词: Arid regions
; Climate change
; Groundwater resources
; Climatic parameters
; Global scale
; Ground water recharge
; Hydrogeological models
; Large-scale applications
; Model validation
; Natural groundwater
; Systematic analysis
; Recharging (underground waters)
; ground water
; air temperature
; arid region
; climate change
; data set
; groundwater
; hydrogeology
; model validation
; precipitation assessment
; quantitative analysis
; recharge
; seasonality
; Article
; climate change
; environmental temperature
; mathematical model
; precipitation
; prediction
; priority journal
; renewable resource
; seasonal variation
; soil analysis
; soil structure
; vegetation
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. © 2020 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158196
Appears in Collections: 气候变化与战略
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作者单位: Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department Water Resources & Drinking Water, Dübendorf, Switzerland; San Francisco State University, Department of Earth & Climate Sciences, San Francisco, United States; University of Neuchâtel, Centre of Hydrogeology and Geothermics (CHYN), Neuchâtel, Switzerland
Recommended Citation:
Moeck C.,Grech-Cumbo N.,Podgorski J.,et al. A global-scale dataset of direct natural groundwater recharge rates: A review of variables, processes and relationships[J]. Science of the Total Environment,2020-01-01,717