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Presenting the Spatio-Temporal Model for Predicting and Determining Permissible Land Use Changes Based on Drinking Water Quality Standards: A Case Study of Northern Iran

Author

Listed:
  • Zahra Allahdad

    (Natural Resources and Environmental Engineering, Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran 1651153311, Iran)

  • Saeed Malmasi

    (Natural Resources and Environmental Engineering, Faculty of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran 1651153311, Iran)

  • Morvarid Montazeralzohour

    (Faculty of Applied Science and Technology, Institute of Technology & Advanced Learning, Humber College, Toronto, ON M9W 5L7, Canada)

  • Seyed Mohammad Moein Sadeghi

    (Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, 500123 Brasov, Romania
    School of Forest, Fisheries and Geomatics Sciences, University of Florida, Gainesville, FL 32611, USA)

  • Mohammad M. Khabbazan

    (Workgroup for Economic and Infrastructure Policy (WIP), Technical University of Berlin (TU Berlin), Strasse des 17. Juni 135, 10623 Berlin, Germany
    Research Unit Sustainability and Global Change (FNU), University of Hamburg, Grindelberg 5, 20144 Hamburg, Germany)

Abstract

Quantifying the effect of non-point source pollution from different land use types (e.g., agricultural lands, pastures, orchards, and urban areas) on stream water quality is critical in determining the extent and type of land use. The relationship between surface water quality as the primary source of drinking water and land use patterns in suburban areas with an accelerated pace of industrial development and progressive growth of population has drawn much attention recently. This study aims to determine the type and portion of the land use changes over three-time intervals from 2000 to 2015 in the Jajrood River Catchment (Tehran metropolis, north of Iran). We used satellite images of Landsat TM and ETM for 2005, 2010, and 2015 to analyze land use changes as a spatiotemporal model. According to the image processing and analysis, we classified the land uses of the study area into irrigated farming, orchards, pastures, and residential areas. In addition, we used temporal data from sampling stations to identify the relationship between land use and water quality based on a multivariate regression model. The analysis shows a significant correlation between the type and extent of land use and water quality parameters, including pH, Na + , Ca + , Mg + , Cl − , SO 4 2− , NO 3 − , and TDS. Pastures and residential areas had the highest impact on water quality parameters among all land use types. Besides, we have used the regression analysis results to determine the maximum permissible areas of each land use type. Consequently, effective management strategies such as land use optimization in catchment scale for this catchment and similar areas will help to consciously protect and manage the quality of drinking water resources.

Suggested Citation

  • Zahra Allahdad & Saeed Malmasi & Morvarid Montazeralzohour & Seyed Mohammad Moein Sadeghi & Mohammad M. Khabbazan, 2022. "Presenting the Spatio-Temporal Model for Predicting and Determining Permissible Land Use Changes Based on Drinking Water Quality Standards: A Case Study of Northern Iran," Resources, MDPI, vol. 11(11), pages 1-14, November.
    • Handle: RePEc:gam:jresou:v:11:y:2022:i:11:p:103-:d:969873
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    References listed on IDEAS

    as
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    1. Zohreh Hashemi Aslani & Vahid Nasiri & Carmen Maftei & Ashok Vaseashta, 2023. "Synergetic Integration of SWAT and Multi-Objective Optimization Algorithms for Evaluating Efficiencies of Agricultural Best Management Practices to Improve Water Quality," Land, MDPI, vol. 12(2), pages 1-20, February.

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