Detecting flood prone areas in Harris County: a GIS based analysis

Mukherjee, Falguni; Singh, Deepika

doi:10.1007/s10708-019-09984-2

Cited by 59 publications

(31 citation statements)

References 66 publications

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“…Combined with meteorological data, it can provide reference for risk identification and early warning. However, due to the lack of simulation of the flood process and the scarcity of remote sensing satellite resources, it is difficult for them to be widely used in a short time [11].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Generally, factors such as DEM, aspect and slope, rainfall intensity, land cover type and drainage capacity will be considered. However, some of these studies are still in the qualitative risk analysis stage and can only assess the risk of waterlogging in certain areas with only part of the crucial factors considered [11]. Fusion of multi-source information that integrates meteorological, geographic, and municipal engineering information is of great need.…”

Section: Literature Reviewmentioning

confidence: 99%

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Identification of Urban Rainstorm Waterlogging Based on Multi-source Information Fusion：A Case Study in Futian District, Shenzhen

et al. 2021

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Flood disasters have become one of the most threatening natural disasters in the world, in which waterlogging is the most common form in the context of highly urbanized megacities. The formation of flood disaster is related to many factors and involves information from multiple sources, making it difficult be predicted. This paper integrates multi-source information data, classifies the study area into different categories according to hydrological analysis results, and combines hydrodynamic theory and ArcGIS to get the quantitative prediction of the range and depth of waterlogging under different rainfall inputs. The evaluation results provide the government with accurate and timely information of waterlogging risks and locations in order to improve promptness of emergency management such as evacuation and managing traffics.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Identification of Urban Rainstorm Waterlogging Based on Multi-source Information Fusion：A Case Study in Futian District, Shenzhen

et al. 2021

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“…The rapid change of geographic elevation along the edge of Balcones Escarpment and the thin soils enhance the land surface response to storms that stall in this area, creating perfect conditions for very fast flowing water during or immediately after rainfall. The continued urbanization and explosive population growth increase the flood risk in the counties in Flash Flood Alley [28,38]. Almost all the counties with more than 10 deaths were clustered on the edge of Balcones Escarpment, except for Harris County (35) and Gregg County (11).…”

Section: Fatality Locationsmentioning

confidence: 99%

Vehicle-Related Flood Fatalities in Texas, 1959–2019

Han

Sharif

2020

Water

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Texas has the highest number of flood fatalities and vehicle-related flood fatalities in the United States. This study provides a detailed analysis of vehicle-related flood fatalities in Texas from 1959 to 2019. The data was compiled from the Storm Data publication maintained by the National Weather Service and includes demographics of the victims, dates, flood types, roadway types, and fatality location. There were 570 vehicle-related flood fatalities during the study period, with almost all fatal accidents resulting in one fatality. These fatalities represent 58% of total flood fatalities. The spatial analysis reveals that most counties with high vehicle-related flood fatalities are clustered in Flash Flood Alley. These counties accounted for over 80% of the fatalities. The annual distribution of these fatalities follows a statistically significant decreasing trend. Monthly distribution of vehicle-related fatalities follows that of rainfall in the Flash Flood Alley, with flash floods causing 61% of all vehicle-related flood fatalities. Night was the time of the day when the most vehicle-related deaths occurred. Males accounted for 63% of the fatalities and the age group of 20–29 was the most affected. The study discusses how the results can be used to increase awareness of flood hazards, used as input into state and regional disaster mitigation plans, and help tailor education and outreach programs.

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“…Floods and their frequency are controlled by several factors including climate, geomorphology, geology, improper engineering practices on river beds, destruction of the flood plain, agricultural land and forest area due to urbanization and population growth, etc. (Brown et al, 2007;Ergünay 2007;Mason et al, 2007;Nied et al, 2014;Mukherjee & Singh, 2019;Skilodimou et al, 2019;Komolafe et al, 2020). Floods are also one of the most common and devastating natural hazards in Turkey (Ergünay, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…Floods are one of the most disasters that occurs in almost every country around the world resulting in losses of life and property, and structural damages (Mukherjee & Singh, 2019). Floods and their frequency are controlled by several factors including climate, geomorphology, geology, improper engineering practices on river beds, destruction of the flood plain, agricultural land and forest area due to urbanization and population growth, etc.…”

Section: Introductionmentioning

confidence: 99%

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Utlu

Ghasemlounia

2021

Jeomorfolojik Araştırmalar Dergisi

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Drainage watershed morphometry plays a major role in terms of understanding flood dynamics. Flood potentials are explained considering the linear, areal, and relief morphometry features of the watersheds. In general, there are number of geomorphometric indices in the description of these features. The formal geometries, geomorphology, geology, and general climate characteristics, etc., which play a decisive role in the flood potential in the watershed, can be determined relatively with morphometric indices. In this study, 35 different river watersheds draining their waters to the Aras, located in the center of Iğdır Province, were examined. Geographic information systems (GIS) and statistical software were chosen to analyze and calculate indices for this research. Flood events occur in these 35 different river watersheds and this study evaluates river watersheds in terms of their flood potential using 14 different indices. In the evaluation of the results obtained, the values that have a high impact on the floods are ranked according to their priorities. These results were evaluated in terms of flood priorities using morphometric analysis and principal component analysis methods. Flood priorities of watersheds, obtained through two different methods, are classified as high, medium, or low priorities. The number of common watersheds, determined based on two different methods, is 8 in river watersheds with "high" priority, 11 in river watersheds with "medium" priority, and 7 in river watersheds with "low" priority. According to these results, it is seen that river watersheds with high priority flood potential correspond to the areas where flood events occurred.

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Detecting flood prone areas in Harris County: a GIS based analysis

Cited by 59 publications

References 66 publications

Identification of Urban Rainstorm Waterlogging Based on Multi-source Information Fusion：A Case Study in Futian District, Shenzhen

Identification of Urban Rainstorm Waterlogging Based on Multi-source Information Fusion：A Case Study in Futian District, Shenzhen

Vehicle-Related Flood Fatalities in Texas, 1959–2019

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

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