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Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies

Puy, Arnald and Lankford, Bruce and Meier, Jonas and van der Kooij, Saskia and Saltelli, Andrea (2022) Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies. Environmental Research Letters, 17 (044014), pp. 1-12. Institute of Physics (IOP) Publishing. doi: 10.1088/1748-9326/ac5768. ISSN 1748-9326.

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Official URL: https://iopscience.iop.org/article/10.1088/1748-9326/ac5768

Abstract

An assessment of the human impact on the global water cycle requires estimating the volume of water withdrawn for irrigated agriculture. A key parameter in this calculation is the irrigation efficiency, which corrects for the fraction of water lost between irrigation withdrawals and the crop due to management, distribution or conveyance losses. Here we show that the irrigation efficiency used in global irrigation models is flawed for it overlooks key ambiguities in partial efficiencies, irrigation technologies, the definition of "large-scale" irrigated areas or managerial factors. Once accounted for, these uncertainties can make irrigation withdrawal estimates fluctuate by more than one order of magnitude at the country level. Such variability is larger and leads to more extreme values than that caused by the uncertainties related with climate change. Our results highlight the need to embrace deep uncertainties in irrigation efficiency to prevent the design of shortsighted policies at the river basin-water-agricultural interface.

Item URL in elib:https://elib.dlr.de/185411/
Document Type:Article
Title:Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Puy, ArnaldUNSPECIFIEDhttps://orcid.org/0000-0001-9469-2156UNSPECIFIED
Lankford, BruceUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Meier, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
van der Kooij, SaskiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Saltelli, AndreaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:14 March 2022
Journal or Publication Title:Environmental Research Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:17
DOI:10.1088/1748-9326/ac5768
Page Range:pp. 1-12
Publisher:Institute of Physics (IOP) Publishing
ISSN:1748-9326
Status:Published
Keywords:sensitivity analysis, agriculture, water sustainability, climate change
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Meier, Jonas
Deposited On:17 May 2022 10:37
Last Modified:16 Aug 2022 11:47

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