IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v302y2024ics0378377424003354.html
   My bibliography  Save this article

Toward field-scale groundwater pumping and improved groundwater management using remote sensing and climate data

Author

Listed:
  • Ott, Thomas J.
  • Majumdar, Sayantan
  • Huntington, Justin L.
  • Pearson, Christopher
  • Bromley, Matt
  • Minor, Blake A.
  • ReVelle, Peter
  • Morton, Charles G.
  • Sueki, Sachiko
  • Beamer, Jordan P.
  • Jasoni, Richard L.

Abstract

Groundwater overdraft in the western United States has prompted water managers to develop groundwater management plans that include mandatory reporting of groundwater pumping (GP). However, most irrigation systems in this region are not equipped with irrigation water flow meters to record GP and performing quality control of the available metered GP data is difficult due to the scarcity of reliable secondary GP estimates. We hypothesize that Landsat-based actual evapotranspiration (ET) estimates from OpenET can be used to predict GP and aid in quality control of the metered GP data. The objectives of this study are to: 1) pair OpenET estimates of consumptive use (Net ET, i.e., actual ET less effective precipitation) and metered annual GP data from Diamond Valley, Nevada, and Harney Basin, Oregon; 2) evaluate linear regression and machine learning models to establish the GP vs Net ET relationship; and 3) compare GP estimates at the field- and basin-scales. Results from using a bootstrapping technique showed that the mean absolute errors and root mean square errors for field-scale GP depth are ∼11 % and ∼14 % across Diamond Valley and Harney Basin based on the OpenET ensemble mean, which showed the highest skill among all the OpenET ET models. Moreover, the regression models explained 50 %-70 % variance in GP depth and ∼90 % variance in GP volumes. Our GP volume estimates are also within 7 % and 17 % of the total reported and measured volumes in Diamond Valley and Harney Basin, respectively, and the estimated average irrigation efficiency of 87 % aligns with known center-pivot system efficiencies. Additionally, the OpenET ensemble proves to be useful for identifying discrepancies in metered GP data, which are subsequently flagged as outliers. Results from this study illustrate usefulness of satellite-based ET estimates for estimating GP and metered GP data quality control and have the potential to help estimate historical GP.

Suggested Citation

  • Ott, Thomas J. & Majumdar, Sayantan & Huntington, Justin L. & Pearson, Christopher & Bromley, Matt & Minor, Blake A. & ReVelle, Peter & Morton, Charles G. & Sueki, Sachiko & Beamer, Jordan P. & Jasoni, 2024. "Toward field-scale groundwater pumping and improved groundwater management using remote sensing and climate data," Agricultural Water Management, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:agiwat:v:302:y:2024:i:c:s0378377424003354
    DOI: 10.1016/j.agwat.2024.109000
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424003354
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2024.109000?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. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Wang, T. & López-Urrea, R. & Cancela, J.J. & Allen, R.G., 2020. "Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data," Agricultural Water Management, Elsevier, vol. 241(C).
    2. Michel Le Page & B. Berjamy & Y. Fakir & F. Bourgin & L. Jarlan & A. Abourida & M. Benrhanem & G. Jacob & M. Huber & F. Sghrer & V. Simonneaux & G. Chehbouni, 2012. "An Integrated DSS for Groundwater Management Based on Remote Sensing. The Case of a Semi-arid Aquifer in Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(11), pages 3209-3230, September.
    3. Ryan Smith & Rosemary Knight & Scott Fendorf, 2018. "Overpumping leads to California groundwater arsenic threat," Nature Communications, Nature, vol. 9(1), pages 1-6, December.
    4. Blankenau, Philip A. & Kilic, Ayse & Allen, Richard, 2020. "An evaluation of gridded weather data sets for the purpose of estimating reference evapotranspiration in the United States," Agricultural Water Management, Elsevier, vol. 242(C).
    5. Dari, Jacopo & Quintana-Seguí, Pere & Morbidelli, Renato & Saltalippi, Carla & Flammini, Alessia & Giugliarelli, Elena & Escorihuela, María José & Stefan, Vivien & Brocca, Luca, 2022. "Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm," Agricultural Water Management, Elsevier, vol. 265(C).
    6. Md Fahim Hasan & Ryan Smith & Sanaz Vajedian & Rahel Pommerenke & Sayantan Majumdar, 2023. "Global land subsidence mapping reveals widespread loss of aquifer storage capacity," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    7. Scott Jasechko & Hansjörg Seybold & Debra Perrone & Ying Fan & Mohammad Shamsudduha & Richard G. Taylor & Othman Fallatah & James W. Kirchner, 2024. "Rapid groundwater decline and some cases of recovery in aquifers globally," Nature, Nature, vol. 625(7996), pages 715-721, January.
    8. Filippelli, Steven K. & Sloggy, Matthew R. & Vogeler, Jody C. & Manning, Dale T. & Goemans, Christopher & Senay, Gabriel B., 2022. "Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region," Agricultural Water Management, Elsevier, vol. 271(C).
    Full references (including those not matched with items on IDEAS)

    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. Zipper, Sam & Kastens, Jude & Foster, Timothy & Wilson, Blake B. & Melton, Forrest & Grinstead, Ashley & Deines, Jillian M. & Butler, James J. & Marston, Landon T., 2024. "Estimating irrigation water use from remotely sensed evapotranspiration data: Accuracy and uncertainties at field, water right, and regional scales," Agricultural Water Management, Elsevier, vol. 303(C).
    2. Yuan Li & Rui Wang & Hongbo Ma & Jian-Min Zhang, 2025. "Rising groundwater table due to restoration projects amplifies earthquake induced liquefaction risk in Beijing," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    3. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    4. Zhang, Yitong & Hao, Zengchao & Zhang, Yu, 2023. "Agricultural risk assessment of compound dry and hot events in China," Agricultural Water Management, Elsevier, vol. 277(C).
    5. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    6. Zappa, Luca & Dari, Jacopo & Modanesi, Sara & Quast, Raphael & Brocca, Luca & De Lannoy, Gabrielle & Massari, Christian & Quintana-Seguí, Pere & Barella-Ortiz, Anais & Dorigo, Wouter, 2024. "Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture," Agricultural Water Management, Elsevier, vol. 295(C).
    7. Williams, Larry E. & Levin, Alexander D. & Fidelibus, Matthew W., 2022. "Crop coefficients (Kc) developed from canopy shaded area in California vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    8. Wang, Tianxin & Melton, Forrest S. & Pôças, Isabel & Johnson, Lee F. & Thao, Touyee & Post, Kirk & Cassel-Sharma, Florence, 2021. "Evaluation of crop coefficient and evapotranspiration data for sugar beets from landsat surface reflectances using micrometeorological measurements and weighing lysimetry," Agricultural Water Management, Elsevier, vol. 244(C).
    9. Elfarkh, Jamal & Simonneaux, Vincent & Jarlan, Lionel & Ezzahar, Jamal & Boulet, Gilles & Chakir, Adnane & Er-Raki, Salah, 2022. "Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models," Agricultural Water Management, Elsevier, vol. 270(C).
    10. Fu, Di & Jin, Xin & Jin, Yanxiang & Mao, Xufeng, 2024. "Extraction of grassland irrigation information in arid regions based on multi-source remote sensing data," Agricultural Water Management, Elsevier, vol. 302(C).
    11. Pereira, L.S. & Paredes, P. & Melton, F. & Johnson, L. & Mota, M. & Wang, T., 2021. "Prediction of crop coefficients from fraction of ground cover and height: Practical application to vegetable, field and fruit crops with focus on parameterization," Agricultural Water Management, Elsevier, vol. 252(C).
    12. José Gescilam S. M. Uchôa & Paulo Tarso S. Oliveira & André S. Ballarin & Antônio A. Meira Neto & Didier Gastmans & Scott Jasechko & Ying Fan & Edson C. Wendland, 2024. "Widespread potential for streamflow leakage across Brazil," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    13. Pei Wang & Jingjing Ma & Juanjuan Ma & Haitao Sun & Qi Chen, 2021. "A Novel Approach for the Simulation of Reference Evapotranspiration and Its Partitioning," Agriculture, MDPI, vol. 11(5), pages 1-12, April.
    14. Christina Caron, 2024. "Eroding Natural Capital: An Alternative Explanation for the Secular Decline in Productivity Growth," International Productivity Monitor, Centre for the Study of Living Standards, vol. 47, pages 109-147, Fall.
    15. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    16. Mahdi Motagh & Shagun Garg & Francesca Cigna & Pietro Teatini & Alok Bhardwaj & Mir A. Matin & Azin Zarei & Kaveh Madani, 2024. "Sustainability Nexus AID: landslides and land subsidence," Sustainability Nexus Forum, Springer, vol. 32(1), pages 1-12, December.
    17. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    18. Simon A. Schroeter & Alice May Orme & Katharina Lehmann & Robert Lehmann & Narendrakumar M. Chaudhari & Kirsten Küsel & He Wang & Anke Hildebrandt & Kai Uwe Totsche & Susan Trumbore & Gerd Gleixner, 2025. "Hydroclimatic extremes threaten groundwater quality and stability," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
    19. Zhi-Qiang Yu & Takahiro Hosono & Hiroki Amano & Ronny Berndtsson & Kei Nakagawa, 2024. "Groundwater Resource Assessment by Applying Long-Term Trend Analysis of Spring Discharge, Water Level, and Hydroclimatic Parameters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(11), pages 4161-4177, September.
    20. Ramos, Tiago B. & Oliveira, Ana R. & Darouich, Hanaa & Gonçalves, Maria C. & Martínez-Moreno, Francisco J. & Rodríguez, Mario Ramos & Vanderlinden, Karl & Farzamian, Mohammad, 2023. "Field-scale assessment of soil water dynamics using distributed modeling and electromagnetic conductivity imaging," Agricultural Water Management, Elsevier, vol. 288(C).

    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:eee:agiwat:v:302:y:2024:i:c:s0378377424003354. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.