Urban Flood Risk Assessment in Sidoarjo, Indonesia, Using Fuzzy Multi-Criteria Decision Making

Abstract

Indonesia is very vulnerable to flooding due to urbanization of land use, industrialization and made worse by climate change. Sidoarjo is an urban area that frequently experiences regular flooding every year. The flooding break up local traffic, disrupting economic distribution and transportation routes. Minimum information about areas that are often flooded causes a lack of people and government attention to the effects of floods. In this paper, we develop a Fuzzy approach to determine the level of urban flood risk in Sidoarjo. The parameters consist of flood inundation, rainfall, population affected, and drainage. The Fuzzy sets produce fuzzy membership values, and evaluation rules determine the level of flood disaster in each village in Sidoarjo, classified into three levels of vulnerability, they are high, medium and low level of flood vulnerability. Analysis of the results of the calculation of flood risk assessment with Fuzzy multi-criteria decision making (FMCDM) shows a good result with accuracy of 66% compared to the analysis of the Sidoarjo Regional Disaster Management Agency inundation data. However, in reality flood risk is not only caused by inundation factor, the FMCDM method is represented a better assessment in real world. The spatial decision support system using geographical information systems (GIS) provides effective, efficient and useful in flood risk management for local and national governmental agencies.

Assessing urban vulnerability to flood risk. A case study in Batna City, in northeast Algeria

“…To build this model, we relied on many factors that we considered to be closely related to the phenomenon of flooding and which have been adopted in many studies of a similar nature (Cao et al, 2016;Costache, 2019;Danumah et al, 2016;Elsheikh et al, 2015;Fariza et al, 2020;Hallil & Redjem, 2022;Hammami et al, 2019;Slimani & Kalla, 2017;Tehrany et al, 2014). The study was carried out using the Weighted Overlay tool, one of the Arc toolbox mechanisms, which can be relied on greatly in decision-making in the determination process of appropriate sites for various purposes (Slimani & Kalla, 2017).…”

“…The establishment of vulnerability maps is one of the most important procedures and non-structural measures that are adopted to reduce the potential damage of floods (Fariza et al, 2020), and it helps to assess the readiness of areas to be protected against this risk according to selected criteria (Rincón et al, 2018), on the basis of which the vulnerability of each area to this hazard and the places presenting this vulnerability are determined (Ajjur & Mogheir, 2020).…”

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“…A literature review of a green shopping mall that incorporates solar energy involves the use of solar power systems to generate electricity and promote sustainability Allouhi & Rehman (2023), Barchi et al (2018), Biryuzova & Glukhanov (2022), Duncan et al (2015), Fariza et al (2020), Jing et al (2017) Liu & He (2023), Stensson (2010), Su & Yue (2021), Zhao et al, (2023), andZorzi et al (2019) A study by Allouhi & Rehman (2023) investigated using a comprehensive analysis of grid-connected hybrid renewable energy systems explicitly tailored for supermarkets, incorporating electric vehicle (EV) charging platforms. Their study addresses a crucial intersection of sustainability, energy efficiency, and transportation electrification within the commercial sector.…”

Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation

“…Urban flood risk assessment performs comprehensive evaluation of hazard-formative factors, hazard-formative environments, hazard-affected bodies, and the capability for disaster prevention and reduction with the aim of obtaining accurate assessment of flood risk levels [ 12 ]. Traditionally, flood risk assessment adopts three main approaches: historical disaster mathematical statistics methods [ 13 , 14 , 15 ], multicriteria analysis (MCA) [ 16 , 17 , 18 , 19 ], and scenario simulation analysis [ 20 , 21 , 22 , 23 ]. Among these three approaches, MCA is used more widely in research on urban flood risk assessment because it can better reflect the chain of urban flood disasters, and has the advantages of easy data acquisition and simple modeling.…”