Global Recharge Data Set Indicates Strengthened Groundwater Connection to Surface Fluxes-Reference-Cited by-同舟云学术

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Global Recharge Data Set Indicates Strengthened Groundwater Connection to Surface Fluxes

Published:2022-11-29 Issue:23 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Berghuijs Wouter R.¹^ORCID,Luijendijk Elco²³^ORCID,Moeck Christian⁴^ORCID,van der Velde Ype¹^ORCID,Allen Scott T.⁵^ORCID

Affiliation:

1. Department of Earth Sciences Free University Amsterdam Amsterdam The Netherlands

2. Bundesgesellschaft Für Endlagerung Peine Germany

3. Department of Earth Science University of Bergen Bergen Norway

4. Department Water Resources and Drinking Water Eawag ‐ Swiss Federal Institute of Aquatic Science and Technology Dübendorf Switzerland

5. Department of Natural Resources and Environmental Science University of Nevada Reno NV USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL099010

Reference51 articles.

1. Human domination of the global water cycle absent from depictions and perceptions

2. Flow and Storage in Groundwater Systems

3. No projected global drylands expansion under greenhouse warming

4. The relationship between contrasting ages of groundwater and streamflow

5. Macropores and water flow in soils revisited

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1. Modeling for sustainable groundwater management: Interdependence and potential complementarity of process-based, data-driven and system dynamics approaches;Science of The Total Environment;2024-11

2. Temporal dynamics of drinking water sodium levels in coastal areas, Cyprus 2009–2020;Science of The Total Environment;2024-08

3. Majority of global river flow sustained by groundwater;Nature Geoscience;2024-07-19

4. On Connecting Hydrosocial Parameters to Vegetation Greenness Differences in an Evolving Groundwater-Dependent Ecosystem;Remote Sensing;2024-07-10

5. High-resolution long-term average groundwater recharge in Africa estimated using random forest regression and residual interpolation;Hydrology and Earth System Sciences;2024-07-05

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