Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity

Significance Understanding the implications of climate changes on hydrology is crucial for water resources management. Widely used global hydrological models generally assume simple homogeneous subsurface representations to translate climate signals into hydrological variables. We study groundwater recharge in the carbonate rock regions of Europe, Northern Africa, and the Middle East, which are known to exhibit strong subsurface heterogeneity. We demonstrate that subsurface heterogeneity alters the sensitivity of recharge to climate variability and enhances recharge estimates, resulting in potentially more available water per capita, than previously estimated. Our results are opposing previous modeling studies on future groundwater availability that assumed homogeneous subsurface properties everywhere. We suggest that water management strategies in regions with heterogeneous subsurface properties need to consider these revised estimates. Our environment is heterogeneous. In hydrological sciences, the heterogeneity of subsurface properties, such as hydraulic conductivities or porosities, exerts an important control on water balance. This notably includes groundwater recharge, which is an important variable for efficient and sustainable groundwater resources management. Current large-scale hydrological models do not adequately consider this subsurface heterogeneity. Here we show that regions with strong subsurface heterogeneity have enhanced present and future recharge rates due to a different sensitivity of recharge to climate variability compared with regions with homogeneous subsurface properties. Our study domain comprises the carbonate rock regions of Europe, Northern Africa, and the Middle East, which cover ∼25% of the total land area. We compare the simulations of two large-scale hydrological models, one of them accounting for subsurface heterogeneity. Carbonate rock regions strongly exhibit “karstification,” which is known to produce particularly strong subsurface heterogeneity. Aquifers from these regions contribute up to half of the drinking water supply for some European countries. Our results suggest that water management for these regions cannot rely on most of the presently available projections of groundwater recharge because spatially variable storages and spatial concentration of recharge result in actual recharge rates that are up to four times larger for present conditions and changes up to five times larger for potential future conditions than previously estimated. These differences in recharge rates for strongly heterogeneous regions suggest a need for groundwater management strategies that are adapted to the fast transit of water from the surface to the aquifers.

[1]  Richard P. Hooper,et al.  Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology , 2007 .

[2]  M. Bierkens,et al.  Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources , 2013 .

[3]  T. Gleeson,et al.  Regional strategies for the accelerating global problem of groundwater depletion , 2012 .

[4]  I. Simmers,et al.  Groundwater recharge: an overview of processes and challenges , 2002 .

[5]  A. Robock,et al.  The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements , 2011 .

[6]  P. Williams The role of the subcutaneous zone in karst hydrology , 1983 .

[7]  S. Worthington,et al.  Enhancement of bedrock permeability by weathering , 2016 .

[8]  B. Minasny,et al.  Digital Soil Map of the World , 2009, Science.

[9]  B. Scanlon,et al.  Choosing appropriate techniques for quantifying groundwater recharge , 2002 .

[10]  John F. B. Mitchell,et al.  The next generation of scenarios for climate change research and assessment , 2010, Nature.

[11]  P. Döll,et al.  Global-scale modeling of groundwater recharge , 2008 .

[12]  John A. Harrison,et al.  Sources and delivery of carbon, nitrogen, and phosphorus to the coastal zone: An overview of Global Nutrient Export from Watersheds (NEWS) models and their application , 2005 .

[13]  P. Waggoner Climate change and US water resources. , 1990 .

[14]  A. Dai Increasing drought under global warming in observations and models , 2013 .

[15]  P. Döll,et al.  A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .

[16]  Thomas C. Winter,et al.  THE CONCEPT OF HYDROLOGIC LANDSCAPES 1 , 2001 .

[17]  S. Kanae,et al.  Global flood risk under climate change , 2013 .

[18]  P. E. Waggoner,et al.  From climate to flow. , 1990 .

[19]  H. Hötzl,et al.  Karst groundwater protection: First application of a Pan-European Approach to vulnerability, hazard and risk mapping in the Sierra de Líbar (Southern Spain). , 2006, The Science of the total environment.

[20]  L. V. Beek,et al.  Water balance of global aquifers revealed by groundwater footprint , 2012, Nature.

[21]  R. Betts,et al.  Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP , 2013 .

[22]  L. Feyen,et al.  Ensemble projections of future streamflow droughts in Europe , 2013 .

[23]  B. Scanlon,et al.  Ground water and climate change , 2013 .

[24]  F. Piontek,et al.  A trend-preserving bias correction – the ISI-MIP approach , 2013 .

[25]  W. Edmunds,et al.  Published online in Wiley InterScience (www.interscience.wiley.com) DOI: 10.1002/hyp.6335 Global synthesis of groundwater recharge in semiarid andaridregions , 2022 .

[26]  Diana M. Allen,et al.  Groundwater sustainability strategies , 2010 .

[27]  M. Todd,et al.  Evidence of the dependence of groundwater resources on extreme rainfall in East Africa , 2013 .

[28]  S. Seneviratne,et al.  Land–atmosphere coupling and climate change in Europe , 2006, Nature.

[29]  Aditya Sood,et al.  Global hydrological models: a review , 2015 .

[30]  GLOSSARY OF INDUSTRIAL ORGANISATION ECONOMICS AND COMPETITION LAW , 1999 .

[31]  R. Woods,et al.  Streamflow sensitivity to water storage changes across Europe , 2016 .

[32]  Felipe J. Colón-González,et al.  Multimodel assessment of water scarcity under climate change , 2013, Proceedings of the National Academy of Sciences.

[33]  Thorsten Wagener,et al.  Karst water resources in a changing world: Review of hydrological modeling approaches , 2014 .

[34]  Stefan Hagemann,et al.  Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations , 2003 .

[35]  H. Jourde,et al.  Modelling the hydrologic functions of a karst aquifer under active water management – The Lez spring , 2009 .

[36]  J. Carrera,et al.  Tracer test modeling for characterizing heterogeneity and local-scale residence time distribution in an artificial recharge site. , 2016 .

[37]  V. Conrad The Climate of the Mediterranean Region , 1943 .

[38]  V. Andréassian,et al.  Climate elasticity of streamflow revisited - an elasticity index based on long-term hydrometeorological records , 2015 .

[39]  The water budget myth revisited: why hydrogeologists model. , 2002, Ground water.

[40]  M. Weiler,et al.  A new approach to model the spatial and temporal variability of recharge to karst aquifers , 2012 .

[41]  H. Jourde,et al.  Numerical long-term assessment of managed aquifer recharge from a reservoir into a karst aquifer in Jordan , 2016 .

[42]  M. Sinreich,et al.  A novel approach for estimating karst groundwater recharge in mountainous regions and its application in Switzerland , 2016 .

[43]  Julie A. Vano,et al.  Hydrologic Sensitivities of Colorado River Runoff to Changes in Precipitation and Temperature , 2012 .

[44]  M. Bierkens,et al.  Nonsustainable groundwater sustaining irrigation: A global assessment , 2012 .

[45]  B. Andreo,et al.  Methodology for groundwater recharge assessment in carbonate aquifers: application to pilot sites in southern Spain , 2008 .

[46]  S. Hagemann,et al.  Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment , 2013, Proceedings of the National Academy of Sciences.

[47]  R. Monson,et al.  Extensive observations of CO2 carbon isotope content in and above a high‐elevation subalpine forest , 2005 .

[48]  J. Carrera,et al.  Tracer test modeling for local scale residence time distribution characterization in an artificial recharge site , 2016 .

[49]  D. Ford,et al.  Karst Hydrogeology and Geomorphology , 2007 .

[50]  Michel Meybeck,et al.  Lithologic composition of the Earth's continental surfaces derived from a new digital map emphasizing riverine material transfer , 2005 .

[51]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

[52]  V. Allocca,et al.  Estimating annual groundwater recharge coefficient for karst aquifers of the southern Apennines (Italy) , 2014 .

[53]  Francesca Pianosi,et al.  A large-scale simulation model to assess karstic groundwater recharge over Europe and the Mediterranean , 2015, Geoscientific Model Development.