GIS-Based Flood Resilient Shelter Design: Innovations and Implications for Urban Flood Management in Ernakulam District, Kerala

Kerala has experienced flooding several times, with major disasters in 2018 and 2019.In cities across the country, including Kochi, Thiruvananthapuram, and Kottayam, rapid urbanization, theencroachment of water bodies, and a lack of effective drainage infrastructure have exacerbated floodvulnerabilities. Significant climate change impacts require innovative flood-resilient shelter strategies built onGIS-based spatial analysis and vernacular architecture methodologies.Aim: This study aimed to propose and design a flood relief shelter in flood-prone areas in Kerala.Objective: (O1) To understand cities in Kerala using GIS Mapping. (O2) To analyze 15 literature reviews relatedto flood-prone areas in Kerala. (O3) To visualize Kerala’s spatial data and Urban Design Development, wepropose a flood relief shelter design.Methodology: To identify flood-prone areas via GIS-based spatial data analysis, assess extant research studieson flood resilience, and determine potential GIS-driven flood shelter locations based on urban vulnerabilitymapping. This study incorporated a vernacular flood-adaptive architecture in shelter design. Using ArcGISPro and 2011 census data, this study mapped flood vulnerability zones, assessed encroachment patterns, lossof green cover, and disaster resilience policies, and proposed site selection criteria for flood shelters.Research Questions: This study seeks to answer the following key questions: What are the primary causes offlooding in Kerala? Which vernacular architectural solutions exist for flood resilience? How can GIS mappingoptimize the selection of flood shelter sites?Methods and results: Creating Aluva, Kochi, and Kothamangalam flood inundation GIS Mapping usingArcGIS Pro, visualize maps showing the sustainable indicators: Environmental impact and changes(encroachment of water bodies, loss of green cover and policies for conservation) and Natural calamities andresilience (Flood frequencies, economic loss and recovery, and community resilience and governmentinterventions) and propose a flood relief shelter for flood-prone areas.Conclusion/Limitations: Literature reviews revealed gaps in current flood mitigation policies, emphasizing theneed for resilient, amphibious, and elevated housing models. These findings highlight that GIS-based floodmapping can optimize flood shelter site selection by identifying high-risk urban zones. Kerala can enhance itsflood resilience strategies by integrating vernacular architectural principles into its amphibious and elevatedshelter designs. This study provides a foundation f

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.16732321
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GIS-Based Flood Resilient Shelter Design: Innovations and Implications for Urban Flood Management in Ernakulam District, Kerala

Zenodo (CERN European Organization for Nuclear Research)
Flood Risk Assessment and Management
article

GIS-Based Flood Resilient Shelter Design: Innovations and Implications for Urban Flood Management in Ernakulam District, Kerala

article en

Abstract

Kerala has experienced flooding several times, with major disasters in 2018 and 2019.In cities across the country, including Kochi, Thiruvananthapuram, and Kottayam, rapid urbanization, theencroachment of water bodies, and a lack of effective drainage infrastructure have exacerbated floodvulnerabilities. Significant climate change impacts require innovative flood-resilient shelter strategies built onGIS-based spatial analysis and vernacular architecture methodologies.Aim: This study aimed to propose and design a flood relief shelter in flood-prone areas in Kerala.Objective: (O1) To understand cities in Kerala using GIS Mapping. (O2) To analyze 15 literature reviews relatedto flood-prone areas in Kerala. (O3) To visualize Kerala’s spatial data and Urban Design Development, wepropose a flood relief shelter design.Methodology: To identify flood-prone areas via GIS-based spatial data analysis, assess extant research studieson flood resilience, and determine potential GIS-driven flood shelter locations based on urban vulnerabilitymapping. This study incorporated a vernacular flood-adaptive architecture in shelter design. Using ArcGISPro and 2011 census data, this study mapped flood vulnerability zones, assessed encroachment patterns, lossof green cover, and disaster resilience policies, and proposed site selection criteria for flood shelters.Research Questions: This study seeks to answer the following key questions: What are the primary causes offlooding in Kerala? Which vernacular architectural solutions exist for flood resilience? How can GIS mappingoptimize the selection of flood shelter sites?Methods and results: Creating Aluva, Kochi, and Kothamangalam flood inundation GIS Mapping usingArcGIS Pro, visualize maps showing the sustainable indicators: Environmental impact and changes(encroachment of water bodies, loss of green cover and policies for conservation) and Natural calamities andresilience (Flood frequencies, economic loss and recovery, and community resilience and governmentinterventions) and propose a flood relief shelter for flood-prone areas.Conclusion/Limitations: Literature reviews revealed gaps in current flood mitigation policies, emphasizing theneed for resilient, amphibious, and elevated housing models. These findings highlight that GIS-based floodmapping can optimize flood shelter site selection by identifying high-risk urban zones. Kerala can enhance itsflood resilience strategies by integrating vernacular architectural principles into its amphibious and elevatedshelter designs. This study provides a foundation f

Zenodo (CERN European Organization for Nuclear Research)
Christ University (IN)
Openalex Percentile: Top 54%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.