Urban Flood Vulnerability Assessment Using the Entropy Weight Method

Abstract

Locally concentrated heavy rainfall has led to an increase in the occurrence of flood damage. This is especially so in the urban areas, which are relatively more vulnerable to flood damage due to the high population and property density. In Seoul, which has 25 administrative districts, heavy rainfall triggered flood-related damage in 2010, 2011, and 2018. However, the flood characteristics of each district were different due to difference in flood impact factors such as topography, weather, and disaster prevention measures. The flood vulnerability of each district should be assessed based on local characteristics to reduce flood damage. This study collected and calculated 15 characteristic data points that can explain the climate exposure, sensitivity, and adaptive capacity of each district using the entropy weight method. Thereafter, the flood vulnerability of each district was calculated based on climate exposure, sensitivity, and adaptive capacity, using the Euclidean method. The results showed that the northern and western areas in Seoul are highly vulnerable due to high climate exposure, sensitivity, and low adaptive capacity. In contrast, the other parts of Seoul had low vulnerability due to high sensitivity, low climate exposure, and high adaptive capacity. These results will contribute to the establishment of a flood damage reduction plan that reflects local characteristics.

Assessment of Heatwave Vulnerability in Korea Considering Socio-economic Indices

“…따라서 폭염 위험을 효과적으로 대응하기 위해 서는 기후, 지형, 사회 등 다양한 요인 고려하여 지역별 특성을 고려한 취약성에 대한 평가가 필요하다 (Koo et al, 2015;Lee, 2017;. Lee et al, 2020;Hwang et al, 2021). Wolf and McGregor (2013) (GRI, 2009;KEI, 2012;KRIHS, 2012;Wolf and McGregor, 2013;Koo et al, 2015;Macnee and Tokai, 2016;Lee, 2017;Choi et al, 2018;Nayak et al, 2018;Lee and Cha, 2019; (Kim et al, 2019).…”

“…Wolf and McGregor (2013) (GRI, 2009;KEI, 2012;KRIHS, 2012;Wolf and McGregor, 2013;Koo et al, 2015;Macnee and Tokai, 2016;Lee, 2017;Choi et al, 2018;Nayak et al, 2018;Lee and Cha, 2019; (Kim et al, 2019). Lee et al, 2020). 엔트로피 가중치 산정방법은 지표의 가중치를 수학적으로 산정하기 때문에 객관성을 확보할 수 있으며, 정량적인 기법으로 불확실성을 고려할 수 있다는 장점이 있다 (Lee et al, 2015).…”

Flood Risk Vulnerability Detection based on the Developing Topographic Wetness Index Tool in Geographic Information System

“…These zones assist in informing emergency preparedness, land-use planning, and development decisions to reduce the potential harm caused by flooding events. The concept of vulnerability flood risk zones takes multiple factors into account to determine the level of risk a specific area faces when it comes to flooding [2], [3], [4], [5], and [6]. There are some key components and considerations: 1.1 Geographical Location: An area's flood risk is greatly influenced by its geographic location, which includes its proximity to bodies of water like rivers, lakes, or coastlines.…”