A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate
Abstract
In this paper, the effects of irrigation on global surface water (SW) and groundwater (GW) resources are investigated by performing simulations using Community Land Model 4.0 (CLM4) at 0.5-degree resolution driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs) for 1950-2099. For each climate scenario, three sets of numerical experiments were configured: (1) a control experiment (CTRL) in which all crops are assumed to be rainfed; (2) an irrigation experiment (IRRIG) in which the irrigation module using only SW for irrigation is activated; and (3) a groundwater pumping experiment (PUMP) in which a groundwater pumping scheme coupled with the irrigation module is activated for conjunctive use of SW and GW for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based SW and GW use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major opposing effects: SW depletion/GW accumulation in regions with irrigation primarily fed by SW, and SW accumulation/GW depletion in regions with irrigation fed primarily by GW. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting the potentialmore »
- Authors:
-
- Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland Washington USA, Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences Beijing China
- Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland Washington USA
- Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences Beijing China
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1223159
- Alternate Identifier(s):
- OSTI ID: 1229961; OSTI ID: 1785817
- Report Number(s):
- PNNL-SA-105104
Journal ID: ISSN 1942-2466
- Grant/Contract Number:
- AC05-76RLO1830; 41425002; 2012CB955403
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 7 Journal Issue: 3; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; irrigation; groundwater pumping; surface water/groundwater; global; CLM
Citation Formats
Leng, Guoyong, Huang, Maoyi, Tang, Qiuhong, and Leung, L. Ruby. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate. United States: N. p., 2015.
Web. doi:10.1002/2015MS000437.
Leng, Guoyong, Huang, Maoyi, Tang, Qiuhong, & Leung, L. Ruby. A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate. United States. https://doi.org/10.1002/2015MS000437
Leng, Guoyong, Huang, Maoyi, Tang, Qiuhong, and Leung, L. Ruby. Tue .
"A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate". United States. https://doi.org/10.1002/2015MS000437.
@article{osti_1223159,
title = {A modeling study of irrigation effects on global surface water and groundwater resources under a changing climate},
author = {Leng, Guoyong and Huang, Maoyi and Tang, Qiuhong and Leung, L. Ruby},
abstractNote = {In this paper, the effects of irrigation on global surface water (SW) and groundwater (GW) resources are investigated by performing simulations using Community Land Model 4.0 (CLM4) at 0.5-degree resolution driven by downscaled/bias-corrected historical simulations and future projections from five General Circulation Models (GCMs) for 1950-2099. For each climate scenario, three sets of numerical experiments were configured: (1) a control experiment (CTRL) in which all crops are assumed to be rainfed; (2) an irrigation experiment (IRRIG) in which the irrigation module using only SW for irrigation is activated; and (3) a groundwater pumping experiment (PUMP) in which a groundwater pumping scheme coupled with the irrigation module is activated for conjunctive use of SW and GW for irrigation. The parameters associated with irrigation and groundwater pumping are calibrated based on a global inventory of census-based SW and GW use compiled by the Food and Agricultural Organization (FAO). Our results suggest that irrigation could lead to two major opposing effects: SW depletion/GW accumulation in regions with irrigation primarily fed by SW, and SW accumulation/GW depletion in regions with irrigation fed primarily by GW. Furthermore, irrigation depending primarily on SW tends to have larger impacts on low-flow than high-flow conditions, suggesting the potential to increase vulnerability to drought. By the end of the 21st century (2070-2099), climate change significantly increases (relative to 1971-2000) irrigation water demand across the world. Combined with the increased temporal-spatial variability of water supply, this may lead to severe issues of local water scarcity for irrigation. Regionally, irrigation has the potential to aggravate/alleviate climate-induced changes of SW/GW although such effects are negligible when averaged globally. Our results emphasize the importance of accounting for irrigation effects and irrigation sources in regional climate change impact assessment.},
doi = {10.1002/2015MS000437},
journal = {Journal of Advances in Modeling Earth Systems},
number = 3,
volume = 7,
place = {United States},
year = {Tue Aug 25 00:00:00 EDT 2015},
month = {Tue Aug 25 00:00:00 EDT 2015}
}
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