Employment of hydraulic model and social media data for flood hazard assessment in an urban city

Ouyang, Mao; Kotsuki, Shunji; Ito, Yuka; Tokunaga, Tomochika

doi:10.1016/j.ejrh.2022.101261

Cited by 9 publications

(5 citation statements)

References 43 publications

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“…Mao et al [62] combined a hydraulic model with social media data to assess flood hazards in an urban area, focusing on the effects of urbanization and land subsidence on flood extent and depth. Their results revealed that changes in land use, elevation, and river water levels significantly altered flood extents over 1970-2019.…”

Section: Flood Simulation Resultsmentioning

confidence: 99%

Modeling Land Use Transformations and Flood Hazard on Ibaraki’s Coastal in 2030: A Scenario-Based Approach Amid Population Fluctuations

Safabakhshpachehkenari,

Tonooka

2024

Remote Sensing

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Coastal areas, influenced by human activity and natural factors, face major environmental shifts, including climate-induced flood risks. This highlights the importance of forecasting coastal land use for effective flood defense and ecological conservation. Japan’s distinct demographic path necessitates flexible strategies for managing its urban development. The study examines the Ibaraki Coastal region to analyze the impacts of land-use changes in 2030, predicting and evaluating future floods from intensified high tides and waves in scenario-based forecasts. The future roughness map is derived from projected land-use changes, and we utilize this information in DioVISTA 3.5.0 software to simulate flood scenarios. Finally, we analyzed the overlap between simulated floods and each land-use category. The results indicate since 2020, built-up areas have increased by 52.37 sq. km (39%). In scenarios of constant or shrinking urban areas, grassland increased by 28.54 sq. km (42%), and urban land cover decreased by 7.47 sq. km (5.6%) over ten years. Our research examines two separate peaks in water levels associated with urban flooding. Using 2030 land use maps and a peak height of 4 m, which is the lower limit of the maximum run-up height due to storm surge expected in the study area, 4.71 sq. km of residential areas flooded in the urban growth scenario, compared to 4.01 sq. km in the stagnant scenario and 3.96 sq. km in the shrinkage scenario. With the upper limit of 7.2 m, which is the extreme case in most of the study area, these areas increased to 49.91 sq. km, 42.52 sq. km, and 42.31 sq. km, respectively. The simulation highlights future flood-prone urban areas for each scenario, guiding targeted flood prevention efforts.

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Section: Flood Simulation Resultsmentioning

confidence: 99%

Modeling Land Use Transformations and Flood Hazard on Ibaraki’s Coastal in 2030: A Scenario-Based Approach Amid Population Fluctuations

Safabakhshpachehkenari,

Tonooka

2024

Remote Sensing

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“…This geospatial approach utilizes DEMs to simulate coastal surface water drainage [ 1 , 42 ]. Apart from other hydrological models that encapsulate the sudden changes in surface [ 43 ] or groundwater [ 44 ] due to extreme weather events, the bathtub model examines areas below the inundation level caused by a deluge source, such as the ocean or a river. The IPCC employs the bathtub technique as a foundational model for simulating potential inundation under different scenarios and levels of flooding [ 40 , 45 , 46 ].…”

Section: Methodsmentioning

confidence: 99%

Assessing the impact of sea level rise on the Indus delta in Pakistan: A comprehensive analysis of flooded areas and future vulnerabilities

Mitra,

Rahman,

Khan

et al. 2024

Heliyon

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“…This shift alters the rainfall redistribution pattern, resulting in increased surface runoff, reduced soil moisture content, and groundwater recharge. As a consequence, the urban rainfall runoff process transforms into a rain and flood process characterized by surface runoff and drainage system water transfer, which significantly increases surface runoff flood peak flow, shortens duration, and magnifies fluctuation range, leading to severe rain and flood disasters (Ouyang et al 2022). Despite the high frequency of rainfall and flood events in urban areas, many cities have low drainage pipe network standards, which only cater to rainfall events that occur once in 1-3 years, while urban drainage river systems require much higher design standards, typically ranging from once in 5 to 100 years.…”

Section: The Effectiveness Of Urban Distributed Runoff Modelmentioning

confidence: 99%

Effectiveness of Urban Distributed Runoff Model for Discharge and Water Depth Calculation in Urban Drainage Pipe Networks

Zhou,

Leng,

Wang

et al. 2024

Preprint

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Effective urban land-use re-planning and the strategic arrangement of drainage pipe networks can significantly enhance a city's capacity to mitigate flood risks. Aimed at reducing the potential risks of urban flooding, this paper presents a straightforward and efficient approach to make urban land-use re-planning and drainage pipe network layout (ULP-DPNL). To achieve this goal, an urban distributed runoff model (UDRM) is firstly developed to quantify the discharge and water depth within urban drainage pipe networks under varying rainfall intensities and land-use scenarios. The Nash efficiency coefficient of UDRM is greater than 0.9 with high computational efficiency, affirming its potential benefit in predicting urban flooding. Then five different flood recurrence intervals are adopted to predict drainage congestion under both current and re-planned land-use typologies. The findings reveal that the re-planned land-use strategies could effectively diminish flood risk upstream of the drainage pipe network across all five flood recurrence intervals. However, in the case of extreme rainfall events (a 100-year flood recurrence), the re-planned land-use approach fell short of fulfilling the requirements necessary for flood disaster mitigation. In these instances, the adoption of larger-diameter drainage pipes becomes an essential requisite to satisfy drainage needs. Accordingly, the proposed UDRM-based ULP-DPNL approach effectively amalgamates land-use information with pipeline data to provide constructive recommendations for pipeline modification and land-use optimization in combating urban floods. Therefore, this methodology warrants further promotion in the field of urban re-planning.

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Employment of hydraulic model and social media data for flood hazard assessment in an urban city

Cited by 9 publications

References 43 publications

Modeling Land Use Transformations and Flood Hazard on Ibaraki’s Coastal in 2030: A Scenario-Based Approach Amid Population Fluctuations

Modeling Land Use Transformations and Flood Hazard on Ibaraki’s Coastal in 2030: A Scenario-Based Approach Amid Population Fluctuations

Assessing the impact of sea level rise on the Indus delta in Pakistan: A comprehensive analysis of flooded areas and future vulnerabilities

Effectiveness of Urban Distributed Runoff Model for Discharge and Water Depth Calculation in Urban Drainage Pipe Networks

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