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

Author

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. Ryan Smith & Rosemary Knight & Scott Fendorf, 2018. "Overpumping leads to California groundwater arsenic threat," Nature Communications, Nature, vol. 9(1), pages 1-6, December.
    3. 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).
    4. 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).
    5. 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).
    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).
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