Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach

Spatio-temporal distribution of irrigation water components was evaluated at the canal command area in Indus Basin Irrigation System (IBIS) by using a remote sensing-based geo-informatics approach. Satellite-derived MODIS product-based Surface Energy Balance Algorithm for Land (SEBAL) was used for t...

Full description

Bibliographic Details
Main Authors: Muhammad Mohsin Waqas, Muhammad Waseem, Sikandar Ali, Megersa Kebede Leta, Adnan Noor Shah, Usman Khalid Awan, Syed Hamid Hussain Shah, Tao Yang, Sami Ullah
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
GIS
Online Access:https://www.mdpi.com/2071-1050/13/15/8607
id doaj-8e26c2b583324552aa46509ff1061a81
record_format Article
spelling doaj-8e26c2b583324552aa46509ff1061a812021-08-06T15:33:31ZengMDPI AGSustainability2071-10502021-08-01138607860710.3390/su13158607Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics ApproachMuhammad Mohsin Waqas0Muhammad Waseem1Sikandar Ali2Megersa Kebede Leta3Adnan Noor Shah4Usman Khalid Awan5Syed Hamid Hussain Shah6Tao Yang7Sami Ullah8Water Management and Agricultural Mechanization Research Center, Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, PakistanDepartment of Civil Engineering, Swedish College of Engineering and Technology, Rahim Yar Khan 64200, PakistanDepartment of Irrigation and Drainage, University of Agriculture, Faisalabad 38000, PakistanFaculty of Agriculture and Environmental Sciences, University of Rostock, 18059 Rostock, GermanyWater Management and Agricultural Mechanization Research Center, Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, PakistanInternational Water Management Institute (IWMI), Lahore 35700, PakistanFaculty of Science and Technology, Athabasca University, University Drive, Athabasca, AB T9S 3A3, CanadaCollege of Hydrology and Water Resources, Hohai University, Nanjing 211100, ChinaDepartment of Chemistry, College of Science, King Khalid University, Abha 61413, Saudi ArabiaSpatio-temporal distribution of irrigation water components was evaluated at the canal command area in Indus Basin Irrigation System (IBIS) by using a remote sensing-based geo-informatics approach. Satellite-derived MODIS product-based Surface Energy Balance Algorithm for Land (SEBAL) was used for the estimation of the actual evapotranspiration (ETa). The ground data-based advection aridity method (AA) was used to calibrate and validate the model. Statistical analysis of the SEBAL based ETa and AA shows the mean values of 87.1 mm and 47.9 mm during Kharif season (May–November) and 100 mm and 77 mm during the Rabi Season (December–April). Mean NSEs of 0.72 and 0.85 and RMSEs 34.9 and 5.76 during the Kharif and the Rabi seasons were observed for ETa and AA, respectively. Rainfall data were calibrated with the point observatory data of the metrological stations. The average annual ETa was found 899 mm for defined four cropping years (2011–2012 to 2014–2015) with the minimum average value of 63.3 mm in January and the maximum average value of 110.6 mm in August. Average of the sum of net canal water use (NCWU) and rainfall during the study period of four years was 548 mm (36% of ETa). Seasonal analysis revealed 39% and 61% of groundwater extraction proportion during Rabi and Kharif seasons, dependent upon the occurrence of rainfall and crop phenology. Overall, the results provide insight into the interrelationships between key water resources management components and the variation of these through time, offering information to improve the strategic planning and management of available water resources in this region.https://www.mdpi.com/2071-1050/13/15/8607SEBALremote sensingGISgroundwater irrigation
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Mohsin Waqas
Muhammad Waseem
Sikandar Ali
Megersa Kebede Leta
Adnan Noor Shah
Usman Khalid Awan
Syed Hamid Hussain Shah
Tao Yang
Sami Ullah
spellingShingle Muhammad Mohsin Waqas
Muhammad Waseem
Sikandar Ali
Megersa Kebede Leta
Adnan Noor Shah
Usman Khalid Awan
Syed Hamid Hussain Shah
Tao Yang
Sami Ullah
Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
Sustainability
SEBAL
remote sensing
GIS
groundwater irrigation
author_facet Muhammad Mohsin Waqas
Muhammad Waseem
Sikandar Ali
Megersa Kebede Leta
Adnan Noor Shah
Usman Khalid Awan
Syed Hamid Hussain Shah
Tao Yang
Sami Ullah
author_sort Muhammad Mohsin Waqas
title Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
title_short Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
title_full Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
title_fullStr Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
title_full_unstemmed Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach
title_sort evaluating the spatio-temporal distribution of irrigation water components for water resources management using geo-informatics approach
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description Spatio-temporal distribution of irrigation water components was evaluated at the canal command area in Indus Basin Irrigation System (IBIS) by using a remote sensing-based geo-informatics approach. Satellite-derived MODIS product-based Surface Energy Balance Algorithm for Land (SEBAL) was used for the estimation of the actual evapotranspiration (ETa). The ground data-based advection aridity method (AA) was used to calibrate and validate the model. Statistical analysis of the SEBAL based ETa and AA shows the mean values of 87.1 mm and 47.9 mm during Kharif season (May–November) and 100 mm and 77 mm during the Rabi Season (December–April). Mean NSEs of 0.72 and 0.85 and RMSEs 34.9 and 5.76 during the Kharif and the Rabi seasons were observed for ETa and AA, respectively. Rainfall data were calibrated with the point observatory data of the metrological stations. The average annual ETa was found 899 mm for defined four cropping years (2011–2012 to 2014–2015) with the minimum average value of 63.3 mm in January and the maximum average value of 110.6 mm in August. Average of the sum of net canal water use (NCWU) and rainfall during the study period of four years was 548 mm (36% of ETa). Seasonal analysis revealed 39% and 61% of groundwater extraction proportion during Rabi and Kharif seasons, dependent upon the occurrence of rainfall and crop phenology. Overall, the results provide insight into the interrelationships between key water resources management components and the variation of these through time, offering information to improve the strategic planning and management of available water resources in this region.
topic SEBAL
remote sensing
GIS
groundwater irrigation
url https://www.mdpi.com/2071-1050/13/15/8607
work_keys_str_mv AT muhammadmohsinwaqas evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT muhammadwaseem evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT sikandarali evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT megersakebedeleta evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT adnannoorshah evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT usmankhalidawan evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT syedhamidhussainshah evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT taoyang evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
AT samiullah evaluatingthespatiotemporaldistributionofirrigationwatercomponentsforwaterresourcesmanagementusinggeoinformaticsapproach
_version_ 1721217392057516032