Study of Simulation in Storm Sewer System of Zhenjiang Urban by Infoworks ICM Model

Sheng, Jian; Dan, Yu; Liu, Cang Song; Lu, Ming‐Chun

doi:10.4028/www.scientific.net/amm.193-194.683

Cited by 7 publications

(3 citation statements)

References 5 publications

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“…It reveals that machine learning technology has unique advantages (higher computation speed, lesser data requirements, and more robust results) in rapid damage assessment and has been paid attention to by relevant researchers. Moreover, the access cycles of remote sensing technology are long because of the limitation of low spatiotemporal resolution of data and lack of easy satellite due to cloud obscuration [67][68][69][70]. However, urban floods are often of short duration, requiring high-temporal-resolution data [71].…”

Section: Recommendation 4: Response Functionsmentioning

confidence: 99%

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: Recommendation 4: Response Functionsmentioning

confidence: 99%

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

et al. 2022

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“…InfoWorks Integrated Catchment Modeling (ICM) is among the flood models that integrate GIS interface to provide a comprehensive range of applications. Due to its pre-and post-processing capacities, InfoWorks ICM is widely used for integrated catchment modeling [18][19][20][21][22][23] and flood hazard and risk mapping studies [24][25][26][27][28]. In recent decades, there has been a growing demand for flood models that have a high reliability to produce as much of a near-real-time flood scenario as possible.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM

et al. 2021

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Malaysia, being a tropical country located near the equatorial doldrums, experiences the annual occurrence of flood hazards due to monsoon rainfalls and urban development. In recent years, environmental policies in the country have shifted towards sustainable flood risk management. As part of the development of flood forecasting and warning systems, this study presented the urban flood simulation using InfoWorks ICM hydrological−hydraulic modeling of the Damansara catchment as a case study. The response of catchments to the rainfall was modeled using the probability distributed moisture (PDM) model due to its capability for large catchments with long-term runoff prediction. The interferometric synthetic aperture radar (IFSAR) technique was used to obtain high-resolution digital terrain model (DTM) data. The calibrated and validated model was first applied to investigate the effectiveness of the existing regional ponds on flood mitigation. For a 100-year flood, the extent of flooded areas decreased from 12.41 km2 to 3.61 km2 as a result of 64-ha ponds in the catchment, which is equivalent to a 71% reduction. The flood hazard maps were then generated based on several average recurrence intervals (ARIs) and uniform rainfall depths, and the results showed that both parameters had significant influences on the magnitude of flooding in terms of flood depth and extent. These findings are important for understanding urban flood vulnerability and resilience, which could help in sustainable management planning to deal with urban flooding issues.

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“…Common urban rainstorm models include SWMM, MIKE Urban, InfoWorks ICM, and TEMEMAC-2D, etc. [26][27][28][29]. In this study, the TELEMAC-SWMM coupled model was selected to simulate urban flooding under the following considerations: (1) After decades of development and research, the EXTRAN module and the TELEMAC-2D module have shown strong performance in the fields of one-and two-dimensional hydrodynamics.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Shao

Liu

et al. 2021

Remote Sensing

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In the context of climate change and rapid urbanization, flood disaster loss caused by extreme rainstorm events is becoming more and more serious. An accurate assessment of flood disaster loss has become a key issue. In this study, extreme rainstorm scenarios with 50- and 100-year return periods based on the Chicago rain pattern were designed. The dynamic change process of flood disaster loss was obtained by using a 1D–2D coupled model, Hazard Rating (HR) method, machine learning, and ArcPy script. The results show that under extreme rainstorm events, the direct economic loss and affected population account for about 3% of the total GDP and 16% of the total population, respectively, and built-up land is the main disaster area. In addition, the initial time and the peak time of flood disaster loss increases with an increasing flood hazard degree and decreases with the increase in the return period. The total loss increases with the increase in the return period, and the unit loss decreases with the increase in the return period. Compared with a static assessment, a dynamic assessment can better reveal the development law of flood disaster loss, which has great significance for flood risk management and the mitigation of flood disaster loss.

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Study of Simulation in Storm Sewer System of Zhenjiang Urban by Infoworks ICM Model

Cited by 7 publications

References 5 publications

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

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

High-Resolution Hydrological-Hydraulic Modeling of Urban Floods Using InfoWorks ICM

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

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