

Combining Water-Sensitive Spatial Planning with Flooding Vulnerability Analysis for Airports
Abstract
The terms resilience and vulnerability are inversely related, and addressing the weaknesses of the system's many components is frequently one approach to build resilience (UN, 2010). Numerous studies have demonstrated that infrastructure may be made more resilient to catastrophes by either designing it that way or by minimizing inherent weaknesses. To guarantee improved system performance, this inclusion process must take an integrated approach rather than being a stand-alone procedure. Several research studies have focused on the integration of sustainability and vulnerability reduction on an urban scale within the past ten years. All forms of infrastructure now need to address vulnerabilities to flooding (Chelleri, 2015), particularly since the effects of climate change are becoming more pronounced in most urban areas.The first sections of this study establish that airports, both those that are currently in operation and those that are being developed as greenfield airports, must conduct a vulnerability assessment for floods. This research work has consulted a number of literature sources, such as codes, standards, guidelines for disaster management, and risk assessment frameworks, in order to comprehend the foundations of airport design, flood control measures, and vulnerability mapping and measurement methodologies as part of overall resilience planning.
As part of the Case Studies section, instances of airports that experience frequent flooding in both India and other countries have been examined to better understand the impact, strengthening measures, disaster preparedness, and cost of solutions. Surveys, expert interviews, and publicly available information have all been used to try and analyze the airports. In order to assess susceptibility, the different sorts of damages and impacts have been recognized through literature and aviation industry professionals.
The variables to be used in the building of the analytical model have been finalized, and vulnerability indicator data for airport infrastructure has been gathered as part of the following parts. Regression modeling is the foundation of the study, and the application checklist has been developed based on the information that stakeholders must provide for the model. Included is a sample of how the model has been used, taking into account certain assumptions. The study's conclusion includes an identification of the advantages, limitations, and potential future directions for the research.
References
Solanki, S. K., & Paul, V. K. (2022). Comparison between service life prediction methods for building rehabilitation: application on a case study. Journal of Building Pathology and Rehabilitation.
Solanki, S. K., Rastogi, R., & Paul, V.
K. (2022). Cost analysis of functional retrofitting measures in buildings . Journal of the Institution of Engineers (India).
Spotlight, F. a. (2020, June 2). Airports embrace stormwater management to protect water quality. Retrieved from Stormwater Report: https://stormwater.wef.org/2020/06/air
-land-and-sea/
Sreekumar, A., Paul, V. K., Solanki,
S. K., & Dua, S. (n.d.). Sustainable retrofit for adaptive building reuse - a facility management approach for highlighting and cataloguing deficiences for retrofit decision making.
TNN. (2014, March 26). Secondary runway bridge at airport gets DGCA nod. Retrieved from Times of India: https://timesofindia.indiatimes.com/cit y/chennai/secondary-runway-bridge- at-airport-gets-dgca- nod/articleshow/32682968.cms
Toll, D. G. (2016). 'The impact of changes in the water table and soil moisture on structural stability of buildings and foundation systems. Durham.
UN. (2010). Terminology. Retrieved from UNDRR: https://www.undrr.org/terminology/res ilience
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