Optimal groundwater management under climate change and technical progress
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DOI: 10.1016/j.reseneeco.2017.10.005
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Citations
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Cited by:
- Amanda M. Nelson & Nicolas E. Quintana Ashwell & Christopher D. Delhom & Drew M. Gholson, 2022. "Leveraging Big Data to Preserve the Mississippi River Valley Alluvial Aquifer: A Blueprint for the National Center for Alluvial Aquifer Research," Land, MDPI, vol. 11(11), pages 1-17, October.
- Lee, Juhee & Hendricks, Nathan P., 2022. "Crop Choice Decisions in Response to Soil Salinization on Irrigated Land in California," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322602, Agricultural and Applied Economics Association.
- Abbas Roozbahani & Ebrahim Ebrahimi & Mohammad Ebrahim Banihabib, 2018. "A Framework for Ground Water Management Based on Bayesian Network and MCDM Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4985-5005, December.
- Lee, Juhee & Hendricks, Nathan, 2022. "Irrigation Decisions in Response to Groundwater Salinity in Kansas," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3), September.
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Keywords
Climate change; Technical progress; Groundwater management; Optimal control;All these keywords.
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