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Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge

Harvesting floodwaters to recharge depleted groundwater aquifers can simultaneously reduce flood and drought risks and enhance groundwater sustainability. However, deployment of this multibeneficial adaptation option is fundamentally constrained by how much water is available for recharge (WAFR) at...

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Autores principales: He, Xiaogang, Bryant, Benjamin P., Moran, Tara, Mach, Katharine J., Wei, Zhongwang, Freyberg, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059926/
https://www.ncbi.nlm.nih.gov/pubmed/33883132
http://dx.doi.org/10.1126/sciadv.abe6025
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author He, Xiaogang
Bryant, Benjamin P.
Moran, Tara
Mach, Katharine J.
Wei, Zhongwang
Freyberg, David L.
author_facet He, Xiaogang
Bryant, Benjamin P.
Moran, Tara
Mach, Katharine J.
Wei, Zhongwang
Freyberg, David L.
author_sort He, Xiaogang
collection PubMed
description Harvesting floodwaters to recharge depleted groundwater aquifers can simultaneously reduce flood and drought risks and enhance groundwater sustainability. However, deployment of this multibeneficial adaptation option is fundamentally constrained by how much water is available for recharge (WAFR) at present and under future climate change. Here, we develop a climate-informed and policy-relevant framework to quantify WAFR, its uncertainty, and associated policy actions. Despite robust and widespread increases in future projected WAFR in our case study of California (for 56/80% of subbasins in 2070–2099 under RCP4.5/RCP8.5), strong nonlinear interactions between diversion infrastructure and policy uncertainties constrain how much WAFR can be captured. To tap future elevated recharge potential through infrastructure expansion under deep uncertainties, we outline a novel robustness-based policy typology to identify priority areas of investment needs. Our WAFR analysis can inform effective investment decisions to adapt to future climate-fueled drought and flood risk over depleted aquifers, in California and beyond.
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spelling pubmed-80599262021-05-04 Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge He, Xiaogang Bryant, Benjamin P. Moran, Tara Mach, Katharine J. Wei, Zhongwang Freyberg, David L. Sci Adv Research Articles Harvesting floodwaters to recharge depleted groundwater aquifers can simultaneously reduce flood and drought risks and enhance groundwater sustainability. However, deployment of this multibeneficial adaptation option is fundamentally constrained by how much water is available for recharge (WAFR) at present and under future climate change. Here, we develop a climate-informed and policy-relevant framework to quantify WAFR, its uncertainty, and associated policy actions. Despite robust and widespread increases in future projected WAFR in our case study of California (for 56/80% of subbasins in 2070–2099 under RCP4.5/RCP8.5), strong nonlinear interactions between diversion infrastructure and policy uncertainties constrain how much WAFR can be captured. To tap future elevated recharge potential through infrastructure expansion under deep uncertainties, we outline a novel robustness-based policy typology to identify priority areas of investment needs. Our WAFR analysis can inform effective investment decisions to adapt to future climate-fueled drought and flood risk over depleted aquifers, in California and beyond. American Association for the Advancement of Science 2021-04-21 /pmc/articles/PMC8059926/ /pubmed/33883132 http://dx.doi.org/10.1126/sciadv.abe6025 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
He, Xiaogang
Bryant, Benjamin P.
Moran, Tara
Mach, Katharine J.
Wei, Zhongwang
Freyberg, David L.
Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title_full Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title_fullStr Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title_full_unstemmed Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title_short Climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
title_sort climate-informed hydrologic modeling and policy typology to guide managed aquifer recharge
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059926/
https://www.ncbi.nlm.nih.gov/pubmed/33883132
http://dx.doi.org/10.1126/sciadv.abe6025
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