Explaining the necessity of using modern methods in the management of urban runoff with the approach of increasing resilience against floods (case study: Shiraz city)

Document Type : Research article

Authors

1 Department of Geography, Yazd University, Yazd, Iran

2 Department of Natural Geography, Faculty of Geography, University of Tehran, Tehran, Iran

3 Department of Human Geography, Faculty of Geography, University of Tehran, Tehran, Iran

10.22059/jurbangeo.2023.354605.1788

Abstract

This research is applied in terms of purpose, and in terms of nature and descriptive method, it is a survey type using a questionnaire. The statistical population consists of experts and citizens of Shiraz. The findings of the research showed that according to the experts of Shiraz city, among the natural factors; The precipitation factor with weight (0.29) has the most influence and the slope direction factor with weight (0.13) has the least effect and in relation to man-made factors; Land use with a weight of (0.25) had the most impact and worn texture factor with a weight of (0.14) had the least impact on runoff and flooding. Further, the results of the analysis of the dimensions of resilience showed that the average of Shiraz in the social dimension is above the optimal level (3.78) and in other dimensions the average is below the optimal level. According to the output of multivariate regression, in terms of prioritization; Social, institutional, economic and physical indicators are ranked first to fourth with beta coefficient values of 0.20, 0.14, 0.11 and 0.10 respectively. Finally, the results of the identification and selection of modern infrastructure suitable for the management of runoff in this city showed that in the index of landscapes and public open spaces; flood storage method and its protection and in the index of houses and private spaces; Water purification and recycling system compared to other methods were chosen by experts as suitable methods for implementation in Shiraz city.

Keywords

Geographical Urban Planning Research (GUPR)
Volume 11, Issue 1
July 2023
Pages 27-49

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