Effect of Spatial Configuration of Green Infrastructure on Flood Risk Estimates in an Urban City and its Influence on Hydrological Response of the Urban Watershed.
Abstract
Green infrastructure (GI) is an integration of both ecological and fabricated design approaches to stormwater management that incorporates natural processes of infiltration and evapotranspiration for flood mitigation. At the same time, the risk of a disaster is determined by the magnitude of extreme events as well as the vulnerability and exposure to the hazards. Numerous research is conducted to assess the quantitative benefits of implementing such methods varying from small to large scale in many developed nations to mitigate flood. However, there is a need for more clarity regarding the adaptive capacity of green infrastructural measures to different types of storm events in urban areas in developing nations, considering the distinct socioeconomic conditions. Further, an urban flood has a negative effect on the coupled human-environment system in proportion to the sensitivity of the system and inversely proportional to the adaptive capacity of the system. Hence, the flood risk estimate is not commensurate with the flood hazard estimate of a region. Accordingly, flood risks may vary for different combinations of size, characteristics, and location of green infrastructure components. To test this hypothesis, we apply a 2 D hydrodynamic stormwater drainage model, MIKE plus, to multiple zones in Ahmedabad city, India, constituting urban watersheds of similar climatology. This research aims to illustrate the difference between the findings of flood risk and the efficiency of GI in reducing flood risk for various spatial configurations of green infrastructure components. We consider historical flood events between 2008 and 2020 for this study. In this study, we intend to evaluate flood risk, which considers socioeconomic indicators along with physiological dimensions of flood hazard, as a performance criterion of the GI implementation measures.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.H35F1094B