@2024 Afarand., IRAN
ISSN: 2538-4384 Geographical Researches 2021;36(1):3543
ISSN: 2538-4384 Geographical Researches 2021;36(1):3543
Assessing Urban Resilience Against Flood Risk; a Case Study of “Water and Electricity” Neighborhood in Mashhad City, Iran
ARTICLE INFO
Article Type
Original ResearchAuthors
Saeidi Mofrad S. (*1)Taleb Elm M. (1)
(1) Department of Urbanism, Faculty of art and Architecture, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Correspondence
Address: Department of Urbanism, Faculty of art and Architecture, Mashhad Branch, Islamic Azad University Ostad Yusofi Street, Emamieh Boulevard, Ghasem Abad, Mashhad, Iran. Postal Code: 9187147578.Phone: +98 (51) 38942474
Fax: +98 (51) 36638920
Saeedi.s@mshdiau.ac.ir
Article History
Received: August 5, 2020Accepted: September 20, 2020
ePublished: March 18, 2021
ABSTRACT
Aims & Backgrounds
Assessing the vulnerability of urban areas to surface water is of particular importance. Destruction of the watershed upstream of urban areas with the destruction of vegetation and road construction and the uncontrolled expansion of urban and industrial lands reduces the infiltration and increases running water, and carries the risk of floods. This study aimed to evaluate the resilience status of the Mashhad water and electricity neighborhood against flood risk.
Methodology This descriptive study was conducted in 2020. Data collection was performed through library studies, Internet search, and databases, and the required data were extracted from the SWMM model for runoff simulation by combining the Hec-Ras hydraulic model in ARC-GIS software.
Findings In the study area, low rainfall and short time but with high instantaneous intensities produced higher waterfall peaks than higher rainfall and longer time but with lower instantaneous intensities.
Conclusion The location to determine the boundary of the floodplain is located on the left side of Laden Boulevard (between Laden 12 to the water and electricity grid), which, even with normal rain, fills the riding area to the edge of the asphalt with water. The northern part of the neighborhood, especially the northeastern part, is more at risk of flooding.
Methodology This descriptive study was conducted in 2020. Data collection was performed through library studies, Internet search, and databases, and the required data were extracted from the SWMM model for runoff simulation by combining the Hec-Ras hydraulic model in ARC-GIS software.
Findings In the study area, low rainfall and short time but with high instantaneous intensities produced higher waterfall peaks than higher rainfall and longer time but with lower instantaneous intensities.
Conclusion The location to determine the boundary of the floodplain is located on the left side of Laden Boulevard (between Laden 12 to the water and electricity grid), which, even with normal rain, fills the riding area to the edge of the asphalt with water. The northern part of the neighborhood, especially the northeastern part, is more at risk of flooding.
CITATION LINKS
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[2]Arman N, Shahbazi A, Faraji M, Dehdari S (2019). The effect of urban development on runoff production using SWMM model, case study: Izeh city, Khuzestan province. Scientific-Research Journal of Engineering and Watershed Management . 11(3):750-758.
[3]Badieizadeh S, Bahremand A, Dehghani AA (2015). Calibration and evaluation of hydraulic hydrological model SWMM in order to simulate surface runoff case study: Gorgan city. Journal of Watershed Management Research. 7(14):1-10.
[4]Chen J, Hill A, Urbano L (2009). A GIS-based model for urban flood inundation. Journal of Hydrology. 373(1-2):184-192.
[5]Deyminiat A, Ghezelsofloo A (2010). Mashhad urban flood management with the application of flood risk management components. The 1st National Conference on Urban Flood Management. 2010, July 23-24; Tehran.
[6]Dorostkar H, Yousefi Y, Ramazanzadeh M, Roradeh H (2016). Assessing the resilience of settlements to flood risk in selected villages of Nakarood Basin. Journal of Spatial Analysis Environmental Hazarts. 2(4):15-30.
[7]Fewtrell TJ, Duncan A, Sampson CC, Neal J (2011). Benchmarking urban flood models of varying complexity and scale using high resolution terrestrial LIDAR data Original. Research Physics and Chemistry of the Earth. (7-8):281-291.
[8]Firoozjah P (2017). Spatial analysis of resilience of Babol's regions to environmental hazards. Journal of Physical Development Planning. 2(2):27-44.
[9]Ghahroudi Tali M (2009). Application of integrated urban flood model in metropolitan cities. Geography and Regional Planning. 1:167-178.
[10]Ghazanfarpoor H, Sedaghat Kish M, Soleimani Damaneh M, Sabahi Goraghani Y (2019). On the evaluation of the reaction of urban managers facing flood as an environmental hazard with emphasis on resiliency case study: Jiroft City. Geography and Sustainability of Environment. 9(30):107-127
[11]Ghasemi S, Maghrebi M (2015). Delay ponds as solution for development and urban sustainable management. Iranian Journal of Rainwater Catchment Systems. 3(1):1-14.
[12]Hosseinzadeh Dalir K, Mohammadian M, Sardari R (2019). An overview of the concept of urban resilience urban design studies and urban research. 3(6).
[13]Kamali B, Mousavi J, Ardeshir A, Maknoon R (2011). Evaluation of the best management strategies in improving the quantity of urban floods. The 4th Iranian Water Resources Management Conference. 2011, 3-4 May: Tehran; Amirkabir University of Technology.
[14]Khalghi E, Sadoddin A, Najafinejad A, Bahremand A (2020). Flood hydrograph simulation model using SWMM hydrograph modeling and forecasting the impacts of watershed areas dry river Shiraz. Natural Resources Modeling. 33(2).
[15]Klein RJT, Nicholls R, Thomalla F (2003). Resilience to natural hazards: How useful is this concept?" Environmental Hazards. 5(1-2):35- 45.
[16]Kheirollahi A (2015). Disaster management against earthquake with anemphasis on urban resilience, case study: District 11 of Tehran [dissertation]. Tehran: Islamic Azad University, Central Tehran Branch.
[17]Karimi V, Solaimani K, Habibnejad Roshan M, Shahedi K (2013). Simulation of flow in open & closed conduits by EPA-SWMM model, case study: Babolsar Urban Watershed. Journal of Watershed Management Research. 6(11):162-170.
[18]Mirasdollahi S, Motevali S, Janbaz Ghobadi G (2020). Resilience analysis of urban settlements against the flood with emphasis on Social and economic indicators Case study: Gorgan city. Researches in Geographical Sciences. 20(59):137-155.
[19]MalekiNejad H, Ekrami M (2010). A study of different aspects of urban and non-urban hydrology. The 1st National Conference on Urban Flood Management. 2010, 23-24 July: Tehran. pp. 1-10.
[20]Shahbazi A, Khalighi Sigarodi SH, Malkian A, Salagagheh A (2013). Sensitivity analysis of input parameters sensitivity analysis of SWMM urban ronof management model (case study: City Mahdasht). Pajuohesh va Sazandegi. 30(1):67-75.
[21]Shirani Z, Partovi P, Behzadfar M (2017). Spatial resilience in traditional bazaars; case study: Esfahan Qeisariye Bazaar. BAGH-E- NAZAR. 14(52):49-58
[22]Salehi E, RafieiY, Farzad Behtash MR, Aghababaei MT (2013). Urban flood risk zoning using GIS and fuzzy hierarchical analysis process, case study: Tehran. Environmental Studies. 39(3):179-188.
[23]Shahbazi A, Khalighi Sigarodi SH, Malekian A, Salajegh A (2013). Sensitivity analysisof input parameters of SWMM model to urban runoff management, case study: Mahdasht town. Pajuohesh va Sazandegi. 30(114):67-75.
[24]Yarahmadi Y, Yousefi H, Jahangir M, SadatiNejad J (2019). Evaluation of the network performance of surface water collection and guidance using the SWMM hydrological model, case study: District 6 of Tehran Municipality. 6(2):415-429.