Actual and perceived causes of flood risk: climate versus anthropogenic effects in a wet zone catchment in Sri Lanka

Eriyagama, Nishadi; Thilakarathne, Madusanka; Tharuka, Praveen; Munaweera, T. I. K.; Muthuwatta, Lal P.; Smakhtin, Vladimir; Premachandra, W. W.; Pindeniya, Dhammi; Wijayarathne, N. S.; Udamulla, Lakshika

doi:10.1080/02508060.2017.1373321

Cited by 12 publications

(5 citation statements)

References 21 publications

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“…Similar climatic narratives have been experienced in South Asian developing countries such as Sri Lanka, India, Pakistan, and Bangladesh [11][12][13][14]. Especially, Sri Lanka is as an Island country has dramatically been experienced mass flooding events for decades as consequences of rapid anthropogenic activities [15][16][17][18][19]. Sri Lanka has been experiencing torrential rains during the South-West monsoon period, generally it is lying from May to September every year [11].…”

Section: Introductionmentioning

confidence: 82%

How Do Social Networks Have Become the “Panacea” or “Protective Firepower” of Flood Victims? A Case of Community Flood Disaster Management in Sri Lanka

KARUNARATHNA

2021

Academic Platform Journal of Natural Hazards and Disaster Management

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Social support networks have been become one of the mostly influential metaphors in many areas around the world, especially in terms of mitigating disaster consequences and revivifying disaster affected livelihoods. More importantly, reciprocal supports ties are more powerful in healing disaster wounds of communities. Especially social capital legacies enrich by reciprocal support networks by the ways in which making may hopes among disaster victims. In this context, the objective of this study is to investigate the social support network behaviors in supporting 16 flood-affected households in the mass flooding event occurred in 2017. Particularly, the study researched social support network behaviors at different flood inundation phases such as before, during, and after. This study collected primary data (mainly social network data) using household survey and filed observations. The study used the Social Network Analysis (SNA) method for the network data analysis. This article shows that flood affected households have received social network supports in different magnitudes at before, during, and after flood inundation phases. More importantly, provision of foods, water and basic needs, sheltering, clearing contaminated households, and emotional supports have mobilized and reciprocated among victims in reviving their livelihoods. The social support network legacies have evolved at different flood inundation phases. This study fills the gabs in the flood disaster discourse on Sri Lankan context.

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Section: Introductionmentioning

confidence: 82%

How Do Social Networks Have Become the “Panacea” or “Protective Firepower” of Flood Victims? A Case of Community Flood Disaster Management in Sri Lanka

KARUNARATHNA

2021

Academic Platform Journal of Natural Hazards and Disaster Management

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“…GIS-based data interpretation of flood-affected individuals provides important information on vulnerability assessments and hazardous mapping (Tran et al, 2008). In this research, data of the number of individuals affected by floods were obtained from the Disaster Information Management System database, managed by the Disaster Management Centre of Sri Lanka (www.desinventar.lk, date of access 20/08/2020), for the period between 1999 and 2018 and were analyzed (Eriyagama et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Impacts of floods on Colombo during two decades: Looking back and thinking forward

Dahanayake

Wickramasinghe

2022

Progress in Physical Geography: Earth and Environment

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This research contributes to the current debate on linking flood events and developmental pressure in urban areas. Colombo District has faced frequent flood events during the last two decades which disrupted the socio-economic and environmental setup. Colombo district is the economic hub and the administrative capital of Sri Lanka and it is the area with highest population density in the country. It has experienced rapid urbanization and Land Use Land Cover Changes (LULC) during recent past. The new infrastructure project developments, expansion of impervious spaces, disturbances to the drainage systems have increased the occurrence of floods. This study was carried out to identify areas with the highest flood damage and attempted to find out any the link between population and land use changes with flood impacts from 1999 to 2018. We used Satellite images, Remote Sensing Techniques and Weighted Overlay method in Geographical Information System to detect the LULC change and the flood vulnerability together with population and disaster related data. The results show that north and western parts of Colombo district were mostly affected by floods. The areas with high flood vulnerability have increased by 1.29% while moderately vulnerable areas have increased by 3.76%, and low vulnerable areas have decreased by 5.04%. The total settlements in Colombo district have increased by 20.08% and have had significant increase by 29.60% in the areas with high flood impacts. The results of the present study highlight the threat of unsustainable urban expansion on floods and call for prompt management action for resilience.

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“…Mean Annual Rainfall is an essential parameter for understanding flood frequency and hydrological processes [73]. Higher mean annual rainfall can contribute to increased flood susceptibility due to greater water input and runoff potential [74]. The precipitation data for the past 30 years (1991-2021) was obtained from CRU in NetCDF file format.…”

Section: Meteorological Factormentioning

confidence: 99%

Assessment and Mapping of Riverine Flood Susceptibility (RFS) in India through Coupled Multicriteria Decision Making Models and Geospatial Techniques

Kumar,

Tiwari

et al. 2023

Water

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Progressive environmental and climatic changes have significantly increased hydrometeorological threats all over the globe. Floods have gained global significance owing to their devastating impact and their capacity to cause economic and human loss. Accurate flood forecasting and the identification of high-risk areas are essential for preventing flood impacts and implementing strategic measures to mitigate flood-related damages. In this study, an assessment of the susceptibility to riverine flooding in India was conducted utilizing Multicriteria Decision making (MCDM) and an extensive geospatial database was created through the integration of fourteen geomorphological, meteorological, hydroclimatic, and anthropogenic factors. The coupled methodology incorporates a Fuzzy Analytical Hierarchy Process (FAHP) model, which utilizes Triangular Fuzzy Numbers (TFN) to determine the Importance Weights (IWs) of various parameters and their subclasses based on the Saaty scale. Based on the determined IWs, this study identifies proximity to rivers, drainage density, and mean annual rainfall as the key factors that contribute significantly to the occurrence of riverine floods. Furthermore, as the Geographic Information System (GIS) was employed to create the Riverine Flood Susceptibility (RFS) map of India by overlaying the weighted factors, it was found that high, moderate, and low susceptibility zones across the country span of 15.33%, 26.30%, and 31.35% of the total area of the country, respectively. The regions with the highest susceptibility to flooding are primarily concentrated in the Brahmaputra, Ganga, and Indus River basins, which happen to encompass a significant portion of the country’s agricultural land (334,492 km2) potentially posing a risk to India’s food security. Approximately 28.13% of built-up area in India falls in the highly susceptible zones, including cities such as Bardhaman, Silchar, Kharagpur, Howrah, Kolkata, Patna, Munger, Bareilly, Allahabad, Varanasi, Lucknow, and Muzaffarpur, which are particularly susceptible to flooding. RFS is moderate in the Kutch-Saurashtra-Luni, Western Ghats, and Krishna basins. On the other hand, areas on the outskirts of the Ganga, Indus, and Brahmaputra basins, as well as the middle and outer portions of the peninsular basins, show a relatively low likelihood of riverine flooding. The RFS map created in this research, with an 80.2% validation accuracy assessed through AUROC analysis, will function as a valuable resource for Indian policymakers, urban planners, and emergency management agencies. It will aid them in prioritizing and executing efficient strategies to reduce flood risks effectively.

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Actual and perceived causes of flood risk: climate versus anthropogenic effects in a wet zone catchment in Sri Lanka

Cited by 12 publications

References 21 publications

How Do Social Networks Have Become the “Panacea” or “Protective Firepower” of Flood Victims? A Case of Community Flood Disaster Management in Sri Lanka

How Do Social Networks Have Become the “Panacea” or “Protective Firepower” of Flood Victims? A Case of Community Flood Disaster Management in Sri Lanka

Impacts of floods on Colombo during two decades: Looking back and thinking forward

Assessment and Mapping of Riverine Flood Susceptibility (RFS) in India through Coupled Multicriteria Decision Making Models and Geospatial Techniques

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