Flash flood hazard mapping: A pilot case study in Xiapu River Basin, China

Zhang, Dawei; Jin, Quan; Zhang, Hongbin; Fan, Weijun; Hong, Wang; He, Xu

doi:10.1016/j.wse.2015.05.002

Cited by 44 publications

(28 citation statements)

References 18 publications

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“…Flash flood hazard susceptibility mapping (FFHSM) is a fundamental, non-structural method implemented by governments for sustainable land planning, protecting human lives and property, and preserving the ecohydrology of river corridors [6,7]. Flash flooding can be defined as the rapid increase in water level in a stream as a result of heavy rains or the collapse of a natural or artificial dam [8].…”

Section: Introductionmentioning

confidence: 99%

“…Flash flooding can be defined as the rapid increase in water level in a stream as a result of heavy rains or the collapse of a natural or artificial dam [8]. The main purpose of FFHSM is to locate sites that are vulnerable to flash flooding in a particular area using a Geographic Information System (GIS) and the available topographic data [7,9,10]. FFHSM is a tool that is needed to improve land use in areas prone to flooding.…”

Section: Introductionmentioning

confidence: 99%

“…The sustainable development of water resources and the protection of the built environment from flooding hazards is made possible using FFHSM. In China, flash flood hazard mapping is still in the early stages [7].…”

Section: Introductionmentioning

confidence: 99%

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Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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This study focused on producing flash flood hazard susceptibility maps (FFHSM) using frequency ratio (FR) and statistical index (SI) models in the Xiqu Gully (XQG) of Beijing, China. First, a total of 85 flash flood hazard locations (n = 85) were surveyed in the field and plotted using geographic information system (GIS) software. Based on the flash flood hazard locations, a flood hazard inventory map was built. Seventy percent (n = 60) of the flooding hazard locations were randomly selected for building the models. The remaining 30% (n = 25) of the flooded hazard locations were used for validation. Considering that the XQG used to be a coal mining area, coalmine caves and subsidence caused by coal mining exist in this catchment, as well as many ground fissures. Thus, this study took the subsidence risk level into consideration for FFHSM. The ten conditioning parameters were elevation, slope, curvature, land use, geology, soil texture, subsidence risk area, stream power index (SPI), topographic wetness index (TWI), and short-term heavy rain. This study also tested different classification schemes for the values for each conditional parameter and checked their impacts on the results. The accuracy of the FFHSM was validated using area under the curve (AUC) analysis. Classification accuracies were 86.61%, 83.35%, and 78.52% using frequency ratio (FR)-natural breaks, statistical index (SI)-natural breaks and FR-manual classification schemes, respectively. Associated prediction accuracies were 83.69%, 81.22%, and 74.23%, respectively. It was found that FR modeling using a natural breaks classification method was more appropriate for generating FFHSM for the Xiqu Gully.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

et al. 2016

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“…In line with the above concerns, flood risk zone mapping and flood damage assessment are considered to be a supporting component and are essential for comprehensive flood loss prevention and management strategy (Tingsanchali & Karim, 2010). Flood vulnerability mapping and risk area delineation is vital to the guidance of local planning, flood risk assessment, and emergency planning (Zhang et al, 2015). Within this context, the spatial variations of different levels of risk and extent of flood damage resulting from catastrophic flood events were identified in this study.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Flood Hazard and Risk Zoning in the Lower Nam Phong River Basin, Thailand

Kuntiyawichai¹,

Dau²,

Sri-Amporn³

et al. 2016

IJTech

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Rapid socio-economic development along with exceptional rainfall can potentially exacerbate risk of flood damage to life and property in the lower Nam Phong River Basin. In relation to this, the non-structural measures including risk-based zoning could be considered as an effective solution in mitigating the flood threat in the future. Thus, a coupling of the hydrological model HEC-HMS and hydrodynamic model HEC-RAS, which increases the robustness and predictability to the overall findings, was applied to assess flood hazard in this study. The outcomes highlighted that the applications of the HEC-HMS and HEC-RAS models are suitable for the study area with the Nash-Sutcliffe Efficiency (E NS ) varied between 0.75 to 0.87 and the coefficient of determination (R 2 ) ranged between 0.81 to 0.92. Moreover, the flood zone mapping was also carried out based on the Flood Hazard Rating (FHR) analysis. As a result, the flood hazard areas were determined which covers about 16.5% of the total river basin areas, and it was classified into four zones, i.e. extreme (18.79% of inundated area), high (46.33% of inundated area), moderate (18.24% of inundated area), and low (16.64% of inundated area), respectively. The obtained findings can be useful as the adaptation guideline for water resources planning and flood management in the lower Nam Phong River Basin and other parts of Thailand.

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“…To design the flood control and management, the information like flooded area map is needed so that the area exposed to flood impact can be identified [3][4][5]. Unfortunately, such data and map are not available.…”

Section: Introductionmentioning

confidence: 99%

Floodplain simulation for Musi River using integrated 1D/2D hydrodynamic model

Amin¹,

Sarino²,

Haki³

2017

MATEC Web Conf.

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Abstract. This paper presents the simulation of floodplain at Musi River using integrated 1D and 2D hydrodynamic model. The 1D flow simulation was applied for the river channel with flow hydrograph as upstream boundary condition. The result of 1D flow simulation was integrated into 2D flow simulation in order to know the area and characteristics of flood inundation. The input data of digital terrain model which was used in this research had grid resolution of 10mx10m, but for 2D simulation the resolution was with grid resolution 50 m x 50 m so as to limit simulation time since the model size was big enough. The result of the simulation showed that the inundated area surrounding Musi River is about 107.44 km 2 with maximum flood depth is 3.24 m, water surface velocity ranges from 0.00 to 0.83 m/s. Most of floodplain areas varied from middle to high flood hazard level, and only few areas had very high level of flood hazard especially on river side. The structural flood control measurement to be recommended to Palembang is to construct flood dike and flood gate. The non structural measurement one is to improve watershed management and socialization of flood awareness.

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Flash flood hazard mapping: A pilot case study in Xiapu River Basin, China

Cited by 44 publications

References 18 publications

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

An Assessment of Flood Hazard and Risk Zoning in the Lower Nam Phong River Basin, Thailand

Floodplain simulation for Musi River using integrated 1D/2D hydrodynamic model

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