气候变化领域集成服务门户(CCPortal): Predicting groundwater recharge for varying land cover and climate conditions-a global meta-study

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DOI	10.5194/hess-22-2689-2018
	Predicting groundwater recharge for varying land cover and climate conditions-a global meta-study
	Mohan C.; Western A.W.; Wei Y.; Saft M.
发表日期	2018
ISSN	1027-5606
起始页码	2689
结束页码	2703
卷号	22 期号:5
英文摘要	Groundwater recharge is one of the important factors determining the groundwater development potential of an area. Even though recharge plays a key role in controlling groundwater system dynamics, much uncertainty remains regarding the relationships between groundwater recharge and its governing factors at a large scale. Therefore, this study aims to identify the most influential factors of groundwater recharge, and to develop an empirical model to estimate diffuse rainfall recharge at a global scale. Recharge estimates reported in the literature from various parts of the world (715 sites) were compiled and used in model building and testing exercises. Unlike conventional recharge estimates from water balance, this study used a multimodel inference approach and information theory to explain the relationship between groundwater recharge and influential factors, and to predict groundwater recharge at 0.5° resolution. The results show that meteorological factors (precipitation and potential evapotranspiration) and vegetation factors (land use and land cover) had the most predictive power for recharge. According to the model, long-term global average annual recharge (1981-2014) was 134 mm yr-1 with a prediction error ranging from-8 to 10 mm yr-1 for 97.2 % of cases. The recharge estimates presented in this study are unique and more reliable than the existing global groundwater recharge estimates because of the extensive validation carried out using both independent local estimates collated from the literature and national statistics from the Food and Agriculture Organization (FAO). In a water-scarce future driven by increased anthropogenic development, the results from this study will aid in making informed decisions about groundwater potential at a large scale. © 2018 Author(s).
语种	英语
scopus关键词	Forecasting; Information theory; Land use; Rain; Food and agriculture organizations; Ground water recharge; Groundwater development; Groundwater potentials; Land use and land cover; Meteorological factors; Multi-model inference; Potential evapotranspiration; Recharging (underground waters); climate conditions; empirical analysis; error analysis; estimation method; groundwater; land cover; model validation; prediction; recharge; uncertainty analysis; water budget
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/160035
作者单位	Mohan, C., Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC, Australia; Western, A.W., Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC, Australia; Wei, Y., School of Geography Planning and Environmental Management, University of Queensland, Brisbane, Australia; Saft, M., Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC, Australia
推荐引用方式 GB/T 7714	Mohan C.,Western A.W.,Wei Y.,et al. Predicting groundwater recharge for varying land cover and climate conditions-a global meta-study[J],2018,22(5).
APA	Mohan C.,Western A.W.,Wei Y.,&Saft M..(2018).Predicting groundwater recharge for varying land cover and climate conditions-a global meta-study.Hydrology and Earth System Sciences,22(5).
MLA	Mohan C.,et al."Predicting groundwater recharge for varying land cover and climate conditions-a global meta-study".Hydrology and Earth System Sciences 22.5(2018).