The Effects of Low-Impact Development Best Management Practices on Reducing Stormwater Caused by Land Use Changes in Urban Areas: A Case Study of Tehran City, Iran

Sajedeh Rostamzadeh, Bahram Malekmohammadi, Fatemeh Mashhadimohammadzadehvazifeh and Jamal Jokar Arsanjani ()
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Sajedeh Rostamzadeh: Department of Environmental Planning, Faculty of Environment, University of Tehran, Tehran 1417853111, Iran
Bahram Malekmohammadi: Department of Environmental Planning, Faculty of Environment, University of Tehran, Tehran 1417853111, Iran
Fatemeh Mashhadimohammadzadehvazifeh: Washington-Alexandria Architecture Center, School of Architecture, Virginia Polytechnic Institute and State University, Alexandria, VA 22314, USA
Jamal Jokar Arsanjani: Geoinformatics Research Group, Department of Planning and Development, Aalborg University Copenhagen, A.C. Meyers Vænge 15, DK-2450 Copenhagen, Denmark

Land, 2024, vol. 14, issue 1, 1-28

Abstract: Urbanization growth and climate change have increased the frequency and severity of floods in urban areas. One of the effective methods for reducing stormwater volume and managing urban floods is the low-impact development best management practice (LID-BMP). This study aims to mitigate flood volume and peak discharge caused by land use changes in the Darabad basin located in Tehran, Iran, using LID-BMPs. For this purpose, land use maps were extracted for a period of 23 years from 2000 to 2022 using Landsat satellite images. Then, by using a combination of geographic information system-based multi-criteria decision analysis (GIS-MCDA) method and spatial criteria, four types of LID-BMPs, including bioretention basin, green roof, grass swale, and porous pavement, were located in the study area. Next, rainfall–runoff modeling was applied to calculate the changes in the mentioned criteria due to land use changes and the application of LID-BMPs in the area using soil conservation service curve number (SCS-CN) method. The simulation results showed that the rise in built-up land use from 43.49 to 56.51 percent between the period has increased the flood volume and peak discharge of 25-year return period by approximately 60 percent. The simulation results also indicated that the combined use of the four selected types of LID-BMPs will lead to a greater decrease in stormwater volume and peak discharge. According to the results, LID-BMPs perform better in shorter return periods in a way that the average percentage of flood volume and peak discharge reduction in a 2-year return period were 36.75 and 34.96 percent, while they were 31.37 and 26.5 percent in a 100-year return period.

Keywords: LID-BMP; LULC change; urban stormwater; GIS-MCDA; urban growth (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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