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

Zahra Allahdad, Saeed Malmasi, Morvarid Montazeralzohour, Seyed Mohammad Moein Sadeghi and Mohammad M. Khabbazan ()
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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
Mohammad M. Khabbazan: Workgroup for Economic and Infrastructure Policy (WIP), Technical University of Berlin (TU Berlin), Strasse des 17. Juni 135, 10623 Berlin, Germany

Resources, 2022, vol. 11, issue 11, 1-14

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.

Keywords: catchment; Iran; Jajrood River; spatiotemporal model; surface water quality (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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