Resilience capacities to reduce the impacts of natural disasters (flood)

Abstract

The purpose of this study is to investigate and evaluate resilience capacities to reduce the impacts of natural disasters (floods) in Konarak city. This study is applied research, which uses descriptive-analytical method to identify and measure dimensions and components resilience of Konarak city. The sample size was estimated using Cochran's formula of 371 households in four neighborhoods of Shomal nirogah gazi, Surak, Nazarabad and Jonoob shahr of Konarak city. To conduct research, first by using library sources, indicators and factors affecting social, economic, institutional, physical, environmental, health-sanitary and individual resilience were identified, and then the field methods and questionnaire were used to collect the required information.In order to analyze the data, the coefficient of multiple correlations such as multiple regression analyses and path analysis were used. The results showed that the level of resilience in the Konarak city is in the social dimension 48.70, economic 38.61, institutional 41.56, physical 31.20, environmental 34.12, health-sanitary 27.48 and individual dimension 39.12, which were in an unfavourable situation. The highest level of resilience is related to the neighbourhoods Shomal nirogah gazi and Surak with 40.95 and 37.81%, respectively, and the lowest level of resilience is for the neighborhoods Nazarabad and Jonoob shahr with 34.22 and 36.05%, respectively. Also, path analysis of resilience shows that in relation to the direct effects of resilience, the social dimension has the highest effect with (0.56) and the next ranks are the economic dimension with (0.51), the environmental dimension (0.41), and the physical dimension (0.39). ), the individual dimension (0.37), the institutional dimension (0.13) and the health-sanitary dimension with (0.10) have influenced the resilience of Konark city. Regarding the indirect effects, social resilience has the highest (0.43) and institutional dimension has the lowest (0.04) indirect impact on the resilience of the sample neighbourhoods of Konarak city.