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High resolution water scarcity analysis for cotton cultivation areas in Punjab, Pakistan

Mikosh, Natalia and Becker, Rike and Schelter, Lennart and Berger, Markus and Usman, Muhammad and Finbeiner, Matthias (2020) High resolution water scarcity analysis for cotton cultivation areas in Punjab, Pakistan. Ecological Indicators, 109, p. 105852. Elsevier. DOI: 10.1016/j.ecolind.2019.105852 ISSN 1470-160X

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S1470160X19308465

Abstract

The Water Scarcity Footprint (WSF) serves as a method to estimate the local impacts associated with water consumption in a certain region by considering the volume of water consumed and local water scarcity. Despite the broad application of the WSF on a country and river basin level, the need for further regionalization was recently emphasized by several authors. In this study, water scarcity factors are calculated on high spatio-temporal resolution for 17 irrigation subdivisions located in Punjab, Pakistan on a monthly level based on the WAVE + method using data provided by the hydrological model SWAT and hydraulic model Feflow. The calculated “water deprivation indices” (WDIs) are applied to quantify the WSF of cotton and wheat produced in the study area and compared to the WSFs obtained by using existing WDIs with lower spatial and temporal resolution. The calculated WDIs show a high variability in water scarcity throughout the year from 0.1 to 1.0 m3deprived/m3consumed. The production weighted average WSF of cotton calculated with the regionalized WDIs amounts to 2333 m3deprived per ton, whilst the cotton produced in the south of the study area has a twice as high WSF as the cotton from the northern irrigation subdivisions. The result calculated based on the high resolution WDIs is more than 60% higher than the WSF calculated with the WDIs on the basin level. The regionalized WSF of wheat amounts to 1821 m3deprived per ton, which aligns with the WSF calculated with the basin specific WDIs. The study underlines the need for water scarcity factors on high spatial (e.g. irrigation subdivision) and temporal (monthly) resolution to provide robust WSF results.

Item URL in elib:https://elib.dlr.de/132494/
Document Type:Article
Title:High resolution water scarcity analysis for cotton cultivation areas in Punjab, Pakistan
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mikosh, NataliaUNSPECIFIEDUNSPECIFIED
Becker, RikeUNSPECIFIEDUNSPECIFIED
Schelter, LennartUNSPECIFIEDUNSPECIFIED
Berger, MarkusUNSPECIFIEDUNSPECIFIED
Usman, Muhammadmuhammad.usman (at) uni-wuerzburg.deUNSPECIFIED
Finbeiner, MatthiasUNSPECIFIEDUNSPECIFIED
Date:February 2020
Journal or Publication Title:Ecological Indicators
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:109
DOI :10.1016/j.ecolind.2019.105852
Page Range:p. 105852
Publisher:Elsevier
ISSN:1470-160X
Status:Published
Keywords:Water footprint, Water scarcity, Agricultural production, Regionalized impact assessment, Pakistan
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:09 Dec 2019 13:38
Last Modified:09 Dec 2019 13:38

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