Anthropogenic drivers and impacts of urban flooding- A case study in Lower Kelani River Basin, Colombo Sri Lanka

Manawadu, L.; Wijeratne, V. P. I. S.

doi:10.1016/j.ijdrr.2021.102076

Cited by 23 publications

(18 citation statements)

References 16 publications

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Section: Research Trends In Disaster Management Applicationmentioning

confidence: 99%

“…Under strict time constraints, response functions require pre-established and rehearsed data collection, analysis, and processing. The least frequent disaster management function was recovery, with three studies showing in-depth damage assessment after a disaster [47][48][49]. The majority of articles (99%) had the environment as the observation category, which is in line with the most common disaster management activities, while the other observation categories were building (building damage) and human (for search and rescue activities) (supplementary file S2).…”

Section: Research Trends In Disaster Management Applicationmentioning

confidence: 99%

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Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities

et al. 2022

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As a result of urbanization and climate change, urban areas are increasingly vulnerable to flooding, which can have devastating effects on the loss of life and property. Remote sensing technology can provide practical help for urban flood disaster management. This research presents a review of urban flood-related remote sensing to identify research trends and gaps, and reveal new research opportunities. Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), the systematic literature search resulted in 347 documents classified as geography, disaster management application, and remote sensing data utilization. The main results include 1. most of the studies are located in high-income countries and territories and inland areas; 2. remote sensing for observing the environment was more popular than observing the building; 3. the most often applied disaster management activities were vulnerability assessment and risk modeling (mitigation) and rapid damage assessment (response); 4. DEM is often applied to simulate urban floods as software inputs. We suggest that future research directions include 1. coastal urban study areas in non-high-income countries/territories to help vulnerable populations; 2. understudied disaster management activities, which often need to observe the buildings in more urban areas; 3. data standardization will facilitate integration with international standard methods for assessing urban floods.

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Section: Research Trends In Disaster Management Applicationmentioning

confidence: 99%

Section: Research Trends In Disaster Management Applicationmentioning

confidence: 99%

Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities

et al. 2022

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“…Hence, a valid total number of 369 questionnaires obtained made up the sample size for this study. Compared to numerous empirical studies on natural disasters [9,14,15,17,[60][61][62][63], the sample of 369 is of an adequate size which can truly produce accurate results to represent the population.…”

Section: Datamentioning

confidence: 99%

Flood Disaster Risk Perception and Urban Households’ Flood Disaster Preparedness: The Case of Accra Metropolis in Ghana

Ntim-Amo

Ran

et al. 2021

Water

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Flood disaster has gained global attention due to the huge impact it has on human lives, economies, and sustainable environments. Flood disaster preparedness, which can significantly be influenced by disaster risk perception, has been highlighted as an effective way to manage flood disaster risk, as many other means have proved futile, yet no study has attempted using multiple dimensions to analyze this relationship in Ghana. Therefore, this study, using a survey of 369 households in the most flood-prone region, Accra Metropolis, analyzed the influence of flood disaster risk perception on urban households’ flood disaster preparedness. Based on the Protective Action Decision Model, the empirical models were constructed and estimated using the Tobit and binary logistic regression models. The results show that the majority of households (60.16%) were unprepared for flood disasters, and the perception of flood disaster risk and the sustainability risk posed by floods significantly affect flood disaster preparedness behaviours of households in a positive direction. The total number of flood disaster preparedness behaviours adopted was significantly related to probability, the threat to lives, sense of worry, and sustainability risk perceptions. Finally, income, education, and house ownership, among other household and individual characteristics, had significant positive effects on preparations for flood disasters. These findings suggest that effective policies to mitigate flood disasters must incorporate risk communication to boost households’ flood disaster preparedness.

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“…Rapid urbanization and increasing human activities are changing urban hydrological processes, leading to large‐scale urban floods and serious losses (Wang et al, 2022; Zha et al, 2021). Such issues are common in most cities, and urban development is restricted (Luo, Liu et al, 2022; Manawadu & Wijeratne, 2021). For example, urban waterlogging occurred in Shenzhen on May 11, 2014, the day of the strongest rainstorm since 2008 (yielding 226 mm of precipitation), resulting in the severe waterlogging of 150 roads and economic losses of more than US $11 million (Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

Sun

Wang

Huang

et al. 2022

J Flood Risk Management

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Urban roads are especially vulnerable to waterlogging during rainfall events.Assessments of urban road waterlogging risk are critical for disaster prevention and mitigation. This paper presents a rapid and practical approach for assessing the risk of urban road waterlogging based on a source-pathway-receptor concept and a digital elevation model (DEM). Waterlogging sources are identified by neighborhood analysis, overland flow pathways are extracted using a DEM, and the properties of cross-nodes between pathways and roads are used to assess the waterlogging risk of roads. Futian District in Shenzhen, China, is selected as the study area. The risk results show that the waterlogging risk sources are clustered in residential land parcels and low-lying road sections, while most road intersections and overpasses in the central area are at higher risks. The results also found that the waterlogging risk decreases as the road grade increases. Actual telephonic flooding records and reported waterlogging areas were used to validate the method, with the risk results displaying good agreement with the actual conditions. The prospects for generalizing this framework and its usage are discussed. The proposed approach provides support for pluvial flooding risk assessment and urban road waterlogging prevention.

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Anthropogenic drivers and impacts of urban flooding- A case study in Lower Kelani River Basin, Colombo Sri Lanka

Cited by 23 publications

References 16 publications

Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities

Urban Flood-Related Remote Sensing: Research Trends, Gaps and Opportunities

Flood Disaster Risk Perception and Urban Households’ Flood Disaster Preparedness: The Case of Accra Metropolis in Ghana

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

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