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METHODS article

Front. Water
Sec. Water and Built Environment
Volume 6 - 2024 | doi: 10.3389/frwa.2024.1489315
This article is part of the Research Topic Blue-Green Infrastructure: Key to Sustainable Urban Development View all 3 articles

IMPACT ASSESSMENT OF GREEN INFRASTRUCTURE AND URBAN GROWTH ON STORMWATER RUNOFF THROUGH GEOSPATIAL MODELING

Provisionally accepted
Agnes George Agnes George Pramod Kumar Pramod Kumar *Kshama Gupta Kshama Gupta
  • Indian Institute of Remote Sensing, Dehra Dūn, India

The final, formatted version of the article will be published soon.

    Kochi city in southern India periodically experiences waterlogging or urban floods due to unabated urban growth and extreme rainfall events. This study aims to mitigate urban flood hazards through green infrastructure (GI) and its effective management. Assessment of storm water runoff (SWR) modeling is carried out in four scenarios, viz., baseline, past, severe, and green, using urban growth and GI driven simulations. Urban growth modeling and GI suitability analysis are carried out using Cellular Automata Markov (CA-Markov) and urban planning guidelines, respectively. The study provides insights into how GI influences SWR reduction and urban environment conservation, with 16% SWR reduction as compared to the baseline scenario and 18% when compared to the severe scenario.

    Keywords: green infrastructure, urban growth, Storm water runoff, Rational method, CA-Markov

    Received: 31 Aug 2024; Accepted: 09 Dec 2024.

    Copyright: © 2024 George, Kumar and Gupta. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Pramod Kumar, Indian Institute of Remote Sensing, Dehra Dūn, India

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