Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: a case study of District 8, Ho Chi Minh city, Vietnam

Dang, An T. N.; Kumar, Lalit

doi:10.1080/19475705.2017.1388853

Cited by 66 publications

(36 citation statements)

References 32 publications

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“…Compared with qualitative assessment that rely primarily on experiential knowledge, quantitative methods that formulate facts and uncover patterns in research based on measurable data is preferred by many researchers. Methods for quantitatively assessing flood disaster risk are often based upon numerical simulations, such as hydrological model and hydrodynamic model (Dang and Kumar 2017;Abdulrazzak et al 2019). There are many commonly used models, such as SCS-CN (Kazak et al 2018), SWMM (Huang and Jin 2019), DRAINMOD (Youssef et al 2018), and so on.…”

Section: Introductionmentioning

confidence: 99%

Assessing urban flood disaster risk using Bayesian network model and GIS applications

Shen

Wang

et al. 2019

Geomatics, Natural Hazards and Risk

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With global climate change, cities face the challenge of increasing flood disaster caused by heavy rainfall, and the prediction and assessment of flood disaster risk is a crucial step towards risk mitigation and adaptation planning. In this study, a method combining Bayesian network (BN) model and geographic information system (GIS), which can capture the potential relationships between factors impacting flood disaster and has capacity of quantifying uncertainty and utilizing both data and knowledgebased sources, was proposed to assess flood disaster risk. The proposed methodology was applied in a case study to assess flood disaster risk and to diagnose the reason for flood disaster in Zhengzhou City, and the results were validated by comparing with actual situation. The results show that that the relative error of very-low, low, moderate, high and very-high risk predicted by the proposed model is 12.57%, 13.21%, 2.23%, 19.63% and 21.65%, respectively, which demonstrates the discriminative power of the established model. Based on the spatial distribution of different risk levels, it can be recognized that the flood disaster risk in Zhengzhou City is decreasing from the middle to the surroundings. The results provide some basis for the field control and management of urban flood disaster.

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Section: Introductionmentioning

confidence: 99%

Assessing urban flood disaster risk using Bayesian network model and GIS applications

Shen

Wang

et al. 2019

Geomatics, Natural Hazards and Risk

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“…With the increasing risk of urban flooding, the distributed hydrological model was proven to be useful in simulating rainfall runoff and flooding propagation in urban areas, which had successfully been applied to the cities of Tianjin, Nanjing, and Nanchang in China [27,29,[33][34][35][36][37][38]. High-resolution spatiotemporal simulation of urban flooding is crucial for the provision of accurate results for risk assessment and to improve the effectiveness of disaster risk management.…”

Section: Introductionmentioning

confidence: 99%

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

et al. 2019

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With rapid urbanization, floods that occur are more frequently associated with non-riverine, urban flooding. Reliable and efficient simulation of rainstorm inundation in an urban environment is profound for risk analysis and sustainable development. Although sophisticated hydrodynamic models are now available to simulate the urban flooding processes with a high accuracy, the complexity and heavy computation requirement render these models difficult to apply. Moreover, a large number of input data describing the complex urban underlying surfaces is required to setup the models, which are typically unavailable in reality. In this paper, a simple and efficient urban rainstorm inundation simulation method, named URIS, was developed based on a geographic information system (GIS) with limited input data. The URIS method is a simplified distributed hydrological model, integrating three components of the soil conservation service (SCS) module, surface flow module, and drainage flow module. Cumulative rainfall-runoff, output from the SCS model, feeds the surface flow model, while the drainage flow module is an important waterlogging mitigation measure. The central urban area of Shanghai in China was selected as a study case to calibrate and verify the method. It was demonstrated that the URIS is capable of characterizing the spatiotemporal dynamic processes of urban inundation and drainage under a range of scenarios, such as different rainstorm patterns with varying return periods and different alterations of drainage diameters. URIS is therefore characterized with high efficiency, reasonable data input, and low hardware requirements and should be an alternative to hydrodynamic models. It is useful for urgent urban flood inundation estimation and is applicable for other cities in supporting emergency rescue and sustainable urban planning.

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“…Hydrodynamic models are highly specialized; therefore, visualization and intuitive representations of their results are very important for scientific decision making. The integration of hydrodynamic model computations and emergency management is one of the important factors for improving the efficiency of flood emergency administration [4]. This paper offers methods for quickly establishing a spatio-temporal GIS framework for flood risk simulations and seamlessly integrating spatio-temporal GIS and hydrodynamic models.…”

Section: Discussionmentioning

confidence: 99%

“…It is crucial for ecologically-based development to understand how to scientifically prevent flood disasters and protect and properly use water resources. Hydrodynamic models are core quantitative calculations in emergency flood disaster management [2][3][4] and can accurately simulate the instantaneous dynamic evolution and medium-to long-term development of a flood [5]. Since hydrodynamic models are very complicated, usually only domain experts can understand the models.…”

Section: Introductionmentioning

confidence: 99%

Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models

Peng

et al. 2019

IJGI

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Dynamic visual simulation of flood risk is crucial for scientific and intelligent emergency management of flood disasters, in which data quality, availability, visualization, and interoperability are important. Here, a seamless integration of a spatio-temporal Geographic Information System (GIS) with one-dimensional (1D) and two-dimensional (2D) hydrodynamic models is achieved for data flow, calculation processes, operation flow, and system functions. Oblique photography-based three-dimensional (3D) modeling technology is used to quickly build a 3D model of the study area (including the hydraulic engineering facilities). A multisource spatio-temporal data platform for dynamically simulating flood risk was built based on the digital earth platform. Using the spatio-temporal computation framework, a dynamic visual simulation and decision support system for flood risk management was developed for the Xiashan Reservoir. The integration method proposed here was verified using flood simulation calculations, dynamic visual simulations, and downstream river channel and dam-break flood simulations. The results show that the proposed methods greatly improve the efficiency of flood risk simulation and decision support. The methods and system put forward in this study can be applied to flood risk simulations and practical management.

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Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: a case study of District 8, Ho Chi Minh city, Vietnam

Cited by 66 publications

References 32 publications

Assessing urban flood disaster risk using Bayesian network model and GIS applications

Assessing urban flood disaster risk using Bayesian network model and GIS applications

A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation

Dynamic 3D Simulation of Flood Risk Based on the Integration of Spatio-Temporal GIS and Hydrodynamic Models

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