IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v35y2021i11d10.1007_s11269-021-02907-2.html
   My bibliography  Save this article

Simulating Future Groundwater Recharge in Coastal and Inland Catchments

Author

Listed:
  • Gianluigi Busico

    (Aristotle University of Thessaloniki
    University of Campania “Luigi Vanvitelli”)

  • Maria Margarita Ntona

    (Aristotle University of Thessaloniki
    University of Campania “Luigi Vanvitelli”)

  • Sílvia C. P. Carvalho

    (University of Lisbon)

  • Olga Patrikaki

    (Decentralized Administration of Macedonia-Thrace)

  • Konstantinos Voudouris

    (Aristotle University of Thessaloniki)

  • Nerantzis Kazakis

    (Aristotle University of Thessaloniki)

Abstract

Groundwater is a primary source of drinking water in the Mediterranean, however, climate variability in conjunction with mismanagement renders it vulnerable to depletion. Spatiotemporal studies of groundwater recharge are the basis to develop strategies against this phenomenon. In this study, groundwater recharge was spatiotemporally quantified using the Soil and Water Assessment Tool (SWAT) in one coastal and one inland hydrological basin in Greece. A double calibration/validation (CV) procedure using streamflow data and MODIS ET was conducted for the inland basin of Mouriki, whereas only ET values were used in the coastal basin of Anthemountas. Calibration and simulation recharge were accurate in both sites according to statistical indicators and previous studies. In Mouriki basin, mean recharge and runoff were estimated as 16% and 9%, respectively. In Anthemountas basin recharge to the shallow aquifer and surface runoff were estimated as 12% and 16%, respectively. According to the predicted RCP 4.5 and 8.5 scenarios, significant variations in groundwater recharge are predicted in the coastal zone for the period 2020–2040 with average annual recharges decreasing by 30% (RCP 4.5) and 25% (RCP 8.5). Variations in groundwater recharge in the inland catchment of Mouriki were insignificant for the simulated period. Anthemountas basin was characterized by higher runoff rates. Groundwater management in coastal aquifers should include detailed monitoring of hydrological parameters, reinforced groundwater recharge during winter and reduced groundwater abstraction during summer depending on the spatiotemporal distribution of groundwater recharge.

Suggested Citation

  • Gianluigi Busico & Maria Margarita Ntona & Sílvia C. P. Carvalho & Olga Patrikaki & Konstantinos Voudouris & Nerantzis Kazakis, 2021. "Simulating Future Groundwater Recharge in Coastal and Inland Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3617-3632, September.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:11:d:10.1007_s11269-021-02907-2
    DOI: 10.1007/s11269-021-02907-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-021-02907-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-021-02907-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Claudia Carvalho-Santos & António T. Monteiro & João C. Azevedo & João Pradinho Honrado & João Pedro Nunes, 2017. "Climate Change Impacts on Water Resources and Reservoir Management: Uncertainty and Adaptation for a Mountain Catchment in Northeast Portugal," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3355-3370, September.
    2. Prem B. Parajuli & Priyantha Jayakody & Ying Ouyang, 2018. "Evaluation of Using Remote Sensing Evapotranspiration Data in SWAT," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 985-996, February.
    3. Gianluigi Busico & Elisabetta Giuditta & Nerantzis Kazakis & Nicolò Colombani, 2019. "A Hybrid GIS and AHP Approach for Modelling Actual and Future Forest Fire Risk Under Climate Change Accounting Water Resources Attenuation Role," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    4. Chantal Donnelly & Wouter Greuell & Jafet Andersson & Dieter Gerten & Giovanna Pisacane & Philippe Roudier & Fulco Ludwig, 2017. "Erratum to: Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level," Climatic Change, Springer, vol. 143(3), pages 535-535, August.
    5. Richard G. Taylor & Bridget Scanlon & Petra Döll & Matt Rodell & Rens van Beek & Yoshihide Wada & Laurent Longuevergne & Marc Leblanc & James S. Famiglietti & Mike Edmunds & Leonard Konikow & Timothy , 2013. "Ground water and climate change," Nature Climate Change, Nature, vol. 3(4), pages 322-329, April.
    6. Chantal Donnelly & Wouter Greuell & Jafet Andersson & Dieter Gerten & Giovanna Pisacane & Philippe Roudier & Fulco Ludwig, 2017. "Impacts of climate change on European hydrology at 1.5, 2 and 3 degrees mean global warming above preindustrial level," Climatic Change, Springer, vol. 143(1), pages 13-26, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aikaterini Lyra & Athanasios Loukas, 2023. "Simulation and Evaluation of Water Resources Management Scenarios Under Climate Change for Adaptive Management of Coastal Agricultural Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2625-2642, May.
    2. Nagarajan Shanmugavel & Rema Rajendran, 2022. "Adoption of Rainwater Harvesting: a Dual-factor Approach by Integrating Theory of Planned Behaviour and Norm Activation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2827-2845, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alice Baronetti & Vincent Dubreuil & Antonello Provenzale & Simona Fratianni, 2022. "Future droughts in northern Italy: high-resolution projections using EURO-CORDEX and MED-CORDEX ensembles," Climatic Change, Springer, vol. 172(3), pages 1-22, June.
    2. Yi Yang & Jianping Tang, 2023. "Downscaling and uncertainty analysis of future concurrent long-duration dry and hot events in China," Climatic Change, Springer, vol. 176(2), pages 1-25, February.
    3. Rejani Raghavan & Kondru Venkateswara Rao & Maheshwar Shivashankar Shirahatti & Duvvala Kalyana Srinivas & Kotha Sammi Reddy & Gajjala Ravindra Chary & Kodigal A. Gopinath & Mohammed Osman & Mathyam P, 2022. "Assessment of Spatial and Temporal Variations in Runoff Potential under Changing Climatic Scenarios in Northern Part of Karnataka in India Using Geospatial Techniques," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    4. Thibault Lemaitre-Basset & Ludovic Oudin & Guillaume Thirel, 2022. "Evapotranspiration in hydrological models under rising CO2: a jump into the unknown," Climatic Change, Springer, vol. 172(3), pages 1-19, June.
    5. Muhammad Ishfaque & Qianwei Dai & Nuhman ul Haq & Khanzaib Jadoon & Syed Muzyan Shahzad & Hammad Tariq Janjuhah, 2022. "Use of Recurrent Neural Network with Long Short-Term Memory for Seepage Prediction at Tarbela Dam, KP, Pakistan," Energies, MDPI, vol. 15(9), pages 1-16, April.
    6. Charlotte Poussin & Yaniss Guigoz & Elisa Palazzi & Silvia Terzago & Bruno Chatenoux & Gregory Giuliani, 2019. "Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube," Data, MDPI, vol. 4(4), pages 1-25, October.
    7. Si Xie & Tianshu Li & Ke Cao, 2023. "Analysis of the Impact of Carbon Emission Control on Urban Economic Indicators based on the Concept of Green Economy under Sustainable Development," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    8. Yeshewatesfa Hundecha & Berit Arheimer & Peter Berg & René Capell & Jude Musuuza & Ilias Pechlivanidis & Christiana Photiadou, 2020. "Effect of model calibration strategy on climate projections of hydrological indicators at a continental scale," Climatic Change, Springer, vol. 163(3), pages 1287-1306, December.
    9. Buddhi Wijesiri & Erick Bandala & An Liu & Ashantha Goonetilleke, 2020. "A Framework for Stormwater Quality Modelling under the Effects of Climate Change to Enhance Reuse," Sustainability, MDPI, vol. 12(24), pages 1-12, December.
    10. Renata Graf & Viktor Vyshnevskyi, 2022. "Forecasting Monthly River Flows in Ukraine under Different Climatic Conditions," Resources, MDPI, vol. 11(12), pages 1-24, November.
    11. Xueru Guo & Rui Zuo & Li Meng & Jinsheng Wang & Yanguo Teng & Xin Liu & Minhua Chen, 2018. "Seasonal and Spatial Variability of Anthropogenic and Natural Factors Influencing Groundwater Quality Based on Source Apportionment," IJERPH, MDPI, vol. 15(2), pages 1-19, February.
    12. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
    13. Mark D. Risser & William D. Collins & Michael F. Wehner & Travis A. O’Brien & Huanping Huang & Paul A. Ullrich, 2024. "Anthropogenic aerosols mask increases in US rainfall by greenhouse gases," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    14. Farzaneh Najimi & Babak Aminnejad & Vahid Nourani, 2023. "Assessment of Climate Change’s Impact on Flow Quantity of the Mountainous Watershed of the Jajrood River in Iran Using Hydroclimatic Models," Sustainability, MDPI, vol. 15(22), pages 1-21, November.
    15. Lauffenburger, Zachary H. & Gurdak, Jason J. & Hobza, Chris & Woodward, Duane & Wolf, Cassandra, 2018. "Irrigated agriculture and future climate change effects on groundwater recharge, northern High Plains aquifer, USA," Agricultural Water Management, Elsevier, vol. 204(C), pages 69-80.
    16. Sangchul Lee & Junyu Qi & Hyunglok Kim & Gregory W. McCarty & Glenn E. Moglen & Martha Anderson & Xuesong Zhang & Ling Du, 2021. "Utility of Remotely Sensed Evapotranspiration Products to Assess an Improved Model Structure," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    17. Xiaowei Guo & Licong Dai & Qian Li & Dawen Qian & Guangmin Cao & Huakun Zhou & Yangong Du, 2020. "Light Grazing Significantly Reduces Soil Water Storage in Alpine Grasslands on the Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 12(6), pages 1-12, March.
    18. Kayhomayoon, Zahra & Jamnani, Mostafa Rahimi & Rashidi, Sajjad & Ghordoyee Milan, Sami & Arya Azar, Naser & Berndtsson, Ronny, 2023. "Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran," Agricultural Water Management, Elsevier, vol. 285(C).
    19. Lee, Sangchul & Qi, Junyu & McCarty, Gregory W. & Anderson, Martha & Yang, Yun & Zhang, Xuesong & Moglen, Glenn E. & Kwak, Dooahn & Kim, Hyunglok & Lakshmi, Venkataraman & Kim, Seongyun, 2022. "Combined use of crop yield statistics and remotely sensed products for enhanced simulations of evapotranspiration within an agricultural watershed," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Jeetendra P. Aryal & Arun Khatri‐Chhetri & Tek B. Sapkota & Dil B. Rahut & Olaf Erenstein, 2020. "Adoption and economic impacts of laser land leveling in the irrigated rice‐wheat system in Haryana, India using endogenous switching regression," Natural Resources Forum, Blackwell Publishing, vol. 44(3), pages 255-273, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:35:y:2021:i:11:d:10.1007_s11269-021-02907-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.