IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8607-d606890.html
   My bibliography  Save this article

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

Author

Listed:
  • Muhammad Mohsin Waqas

    (Water Management and Agricultural Mechanization Research Center, Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan)

  • Muhammad Waseem

    (Department of Civil Engineering, Swedish College of Engineering and Technology, Rahim Yar Khan 64200, Pakistan)

  • Sikandar Ali

    (Department of Irrigation and Drainage, University of Agriculture, Faisalabad 38000, Pakistan)

  • Megersa Kebede Leta

    (Faculty of Agriculture and Environmental Sciences, University of Rostock, 18059 Rostock, Germany)

  • Adnan Noor Shah

    (Water Management and Agricultural Mechanization Research Center, Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan)

  • Usman Khalid Awan

    (International Water Management Institute (IWMI), Lahore 35700, Pakistan)

  • Syed Hamid Hussain Shah

    (Faculty of Science and Technology, Athabasca University, University Drive, Athabasca, AB T9S 3A3, Canada)

  • Tao Yang

    (College of Hydrology and Water Resources, Hohai University, Nanjing 211100, China)

  • Sami Ullah

    (Department of Chemistry, College of Science, King Khalid University, Abha 61413, Saudi Arabia)

Abstract

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.

Suggested Citation

  • Muhammad Mohsin Waqas & Muhammad Waseem & Sikandar Ali & Megersa Kebede Leta & Adnan Noor Shah & Usman Khalid Awan & Syed Hamid Hussain Shah & Tao Yang & Sami Ullah, 2021. "Evaluating the Spatio-Temporal Distribution of Irrigation Water Components for Water Resources Management Using Geo-Informatics Approach," Sustainability, MDPI, vol. 13(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8607-:d:606890
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8607/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8607/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winston Yu & Yi-Chen Yang & Andre Savitsky & Donald Alford & Casey Brown & James Wescoat & Dario Debowicz & Sherman Robinson, 2013. "Indus Basin of Pakistan : Impacts of Climate Risks on Water and Agriculture," World Bank Publications - Books, The World Bank Group, number 13834, December.
    2. Asad Qureshi & Peter McCornick & A. Sarwar & Bharat Sharma, 2010. "Challenges and Prospects of Sustainable Groundwater Management in the Indus Basin, Pakistan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(8), pages 1551-1569, June.
    3. Boelee, Eline, 2011. "Ecosystems for water and food security. [Background paper]," IWMI Books, Reports H044268, International Water Management Institute.
    4. Kirby, Mac & Ahmad, Mobin-ud-Din & Mainuddin, Mohammed & Khaliq, Tasneem & Cheema, M.J.M., 2017. "Agricultural production, water use and food availability in Pakistan: Historical trends, and projections to 2050," Agricultural Water Management, Elsevier, vol. 179(C), pages 34-46.
    5. Ullah, M. K., 2001. "Spatial distribution of reference and potential evapotranspiration across the Indus Basin Irrigation Systems," IWMI Working Papers H029426, International Water Management Institute.
    6. Cheema, M.J.M. & Bastiaanssen, W.G.M., 2010. "Land use and land cover classification in the irrigated Indus Basin using growth phenology information from satellite data to support water management analysis," Agricultural Water Management, Elsevier, vol. 97(10), pages 1541-1552, October.
    7. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, October.
    8. Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
    9. Qureshi, A. S. & Shah, T. & Akhtar, M, 2003. "The groundwater economy of Pakistan," IWMI Working Papers H033572, International Water Management Institute.
    10. Zwart, Sander J. & Bastiaanssen, Wim G.M., 2007. "SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems," Agricultural Water Management, Elsevier, vol. 89(3), pages 287-296, May.
    11. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    12. Bandaragoda, D. J. & Badruddin, M., 1992. "Moving towards demand-based operations in modernized irrigation systems in Pakistan," IWMI Books, Reports H011923, International Water Management Institute.
    13. Liaqat, Umar Waqas & Awan, Usman Khalid & McCabe, Matthew Francis & Choi, Minha, 2016. "A geo-informatics approach for estimating water resources management components and their interrelationships," Agricultural Water Management, Elsevier, vol. 178(C), pages 89-105.
    14. Hertzog, Thomas & Poussin, Jean-Christophe & Tangara, Bréhima & Kouriba, Indé & Jamin, Jean-Yves, 2014. "A role playing game to address future water management issues in a large irrigated system: Experience from Mali," Agricultural Water Management, Elsevier, vol. 137(C), pages 1-14.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liaqat, Umar Waqas & Awan, Usman Khalid & McCabe, Matthew Francis & Choi, Minha, 2016. "A geo-informatics approach for estimating water resources management components and their interrelationships," Agricultural Water Management, Elsevier, vol. 178(C), pages 89-105.
    2. Simons, G.W.H. & Bastiaanssen, W.G.M. & Cheema, M.J.M. & Ahmad, B. & Immerzeel, W.W., 2020. "A novel method to quantify consumed fractions and non-consumptive use of irrigation water: Application to the Indus Basin Irrigation System of Pakistan," Agricultural Water Management, Elsevier, vol. 236(C).
    3. Yousaf, Wasif & Awan, Wakas Karim & Kamran, Muhammad & Ahmad, Sajid Rashid & Bodla, Habib Ullah & Riaz, Mohammad & Umar, Muhammad & Chohan, Khurram, 2021. "A paradigm of GIS and remote sensing for crop water deficit assessment in near real time to improve irrigation distribution plan," Agricultural Water Management, Elsevier, vol. 243(C).
    4. Kirby, Mac & Ahmad, Mobin-ud-Din & Mainuddin, Mohammed & Khaliq, Tasneem & Cheema, M.J.M., 2017. "Agricultural production, water use and food availability in Pakistan: Historical trends, and projections to 2050," Agricultural Water Management, Elsevier, vol. 179(C), pages 34-46.
    5. Erenstein, Olaf, 2009. "Comparing water management in rice-wheat production systems in Haryana, India and Punjab, Pakistan," Agricultural Water Management, Elsevier, vol. 96(12), pages 1799-1806, December.
    6. Cai, X.L. & Sharma, B.R., 2010. "Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin," Agricultural Water Management, Elsevier, vol. 97(2), pages 309-316, February.
    7. Erenstein, Olaf & Malik, R.K. & Singh, Sher, 2007. "Adoption and Impacts of Zero-Tillage in the Rice-Wheat Zone of Irrigated Haryana, India," Impact Studies 56092, CIMMYT: International Maize and Wheat Improvement Center.
    8. Usha Poudel & Haroon Stephen & Sajjad Ahmad, 2021. "Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI," Sustainability, MDPI, vol. 13(14), pages 1-26, July.
    9. Noor, Rabeea & Inam, Azhar & Zahra, Syeda Mishal & Shoaib, Muhammad & Riaz, Rameen & Sarwar, Aneela & Asif, Muhammad & Ahmad, Shakil, 2022. "A methodological framework for modeling sustainability visions: A case study of groundwater management in Faizpur distributary, Pakistan," Agricultural Water Management, Elsevier, vol. 271(C).
    10. Yan, Nana & Wu, Bingfang, 2014. "Integrated spatial–temporal analysis of crop water productivity of winter wheat in Hai Basin," Agricultural Water Management, Elsevier, vol. 133(C), pages 24-33.
    11. Colaizzi, Paul D. & O’Shaughnessy, Susan A. & Evett, Steve R. & Mounce, Ryan B., 2017. "Crop evapotranspiration calculation using infrared thermometers aboard center pivots," Agricultural Water Management, Elsevier, vol. 187(C), pages 173-189.
    12. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "A global benchmark map of water productivity for rainfed and irrigated wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1617-1627, October.
    13. Zenobia Talpur & Arjumand Z. Zaidi & Suhail Ahmed & Tarekegn Dejen Mengistu & Si-Jung Choi & Il-Moon Chung, 2023. "Estimation of Crop Water Productivity Using GIS and Remote Sensing Techniques," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
    14. L. Muthuwatta & Mobin-ud-Din Ahmad & M. Bos & T. Rientjes, 2010. "Assessment of Water Availability and Consumption in the Karkheh River Basin, Iran—Using Remote Sensing and Geo-statistics," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 459-484, February.
    15. Gulraiz Akhter & Yonggang Ge & Naveed Iqbal & Yanjun Shang & Muhammad Hasan, 2021. "Appraisal of Remote Sensing Technology for Groundwater Resource Management Perspective in Indus Basin," Sustainability, MDPI, vol. 13(17), pages 1-12, August.
    16. Hadia Majid, 2022. "Drought, Farm Output and Heterogeneity: Evidence from Pakistan," Journal of South Asian Development, , vol. 17(1), pages 32-56, April.
    17. Elshaikh, Ahmed E. & Jiao, Xiyun & Yang, Shi-hong, 2018. "Performance evaluation of irrigation projects: Theories, methods, and techniques," Agricultural Water Management, Elsevier, vol. 203(C), pages 87-96.
    18. Saddam Hussain & Saba Malik & Muhammad Jehanzeb Masud Cheema & Muhammad Umair Ashraf & Muhammad Mazhar Iqbal & Sikandar Ali & Lubna Anjum & Muhammad Aslam & Hassan Afzal, 2020. "An Overview On Emerging Water Scarcity Challange In Pakistan, Its Consumption, Causes, Impacts And Remedial Measures," Big Data In Water Resources Engineering (BDWRE), Zibeline International Publishing, vol. 1(1), pages 22-31, March.
    19. Sawadogo, Alidou & Dossou-Yovo, Elliott R. & Kouadio, Louis & Zwart, Sander J. & Traoré, Farid & Gündoğdu, Kemal S., 2023. "Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information," Agricultural Water Management, Elsevier, vol. 278(C).
    20. Sobia Asghar & Nophea Sasaki & Damien Jourdain & Takuji W. Tsusaka, 2018. "Levels of Technical, Allocative, and Groundwater Use Efficiency and the Factors Affecting the Allocative Efficiency of Wheat Farmers in Pakistan," Sustainability, MDPI, vol. 10(5), pages 1-22, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8607-:d:606890. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.