Changing of flood risk due to climate and development in Huaihe River basin, China

Wu, Yenan; Zhong, Ping‐an; Xu, Bin; Zhu, Feilin; Ma, Biao

doi:10.1007/s00477-016-1262-2

Cited by 32 publications

(24 citation statements)

References 28 publications

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“…Urbanization has increasing trend in the U.S. 38 and urbanized basins are more prone to impacts from intense rainfall with reduced infiltration and the absence of natural defenses such as vegetation. Second, climate change studies have projected an intensifying hydrologic cycle under future emission scenarios, resulting in more intense rainfall events and exacerbated potential for flash floods [39][40][41][42] .…”

mentioning

confidence: 99%

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

Khajehei

Ahmadalipour

Shao

et al. 2020

Sci Rep

102

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Flash flood is among the most catastrophic natural hazards which causes disruption in the environment and societies. Flash flood is mainly initiated by intense rainfall, and due to its rapid onset (within six hours of rainfall), taking action for effective response is challenging. Building resilience to flash floods require understanding of the socio-economic characteristics of the societies and their vulnerability to these extreme events. This study provides a comprehensive assessment of socio-economic vulnerability to flash floods and investigates the main characteristics of flash flood hazard, i.e. frequency, duration, severity, and magnitude. A socio-economic vulnerability index is developed at the county level across the Contiguous United States (CONUS). For this purpose, an ensemble of social and economic variables from the US Census and the Bureau of Economic Analysis were analyzed. Then, the coincidence of socioeconomic vulnerability and flash flood hazard were investigated to identify the critical and non-critical regions. Results show that the southwest U.S. experienced severe flash flooding with high magnitude, whereas the Northern Great Plains experience lower severity and frequency. Critical counties (highvulnerable-hotspot) are mostly located in the southern and southwestern parts of the U.S. The majority of counties in the Northern Great Plains indicate a non-critical status.

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mentioning

confidence: 99%

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

Khajehei

Ahmadalipour

Shao

et al. 2020

Sci Rep

102

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“…Many researchers focused on the assessment of flood risk [57][58][59][60]. Plate [57] gave a comprehensive overview for flood risk and flood management.…”

Section: Advances In Urban Flooding Precautionsmentioning

confidence: 99%

“…Gouldby et al [59] developed a method for regional-scale flood risk assessment from fluvial and coastal sources. To investigate the change in flood risk in the Huaihe River Basin between period I and period II (1980-2010), Wu et al [60] established a risk assessment index system that considers risk as the production of hazard and vulnerability. The increased risk in the Huaihe River Basin was a result of the combined effects of climate change and social-economic development.…”

Section: Advances In Urban Flooding Precautionsmentioning

confidence: 99%

Flooding Hazards across Southern China and Prospective Sustainability Measures

Lyu

Cheng

et al. 2018

Sustainability

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The Yangtze River Basin and Huaihe River Basin in Southern China experienced severe floods 1998 and 2016. The reasons for the flooding hazards include the following two factors: hazardous weather conditions and degradation of the hydrological environment due to anthropogenic activities. This review work investigated the weather conditions based on recorded data, which showed that both 1998 and 2016 were in El Nino periods. Human activities include the degradations of rivers and lakes and the effects caused by the building of the Three Gorges Dam. In addition, the flooding in 2016 had a lower hazard scale than that in 1998 but resulted in larger economic losses than that of 1998. To mitigate urban waterlogging caused by flooding hazards, China proposed a new strategy named Spongy City (SPC) in 2014. SPC promotes sustainable city development so that a city has the resilience to adapt to climate change, to mitigate the impacts of waterlogging caused by extreme rainfall events. The countermeasures used to tackle the SPC construction-related problems, such as local inundation, water resource shortage, storm water usage, and water pollution control, are proposed for city management to improve the environment.

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“…The proposed model is applied to a flood-prone area of China, the Huaihe River basin, which is located between Yellow River 20 basin and Yangtze River basin (see Fig.2) (Wu et al, 2016). Annual maximum streamflow data with a total of 17 gauge sites record with 64 years while site #17 has the shortest one with 27 years of record.…”

Section: Study Area and Datamentioning

confidence: 99%

Local and regional flood frequency analysis based on hierarchical Bayesian model: application to annual maximum streamflow for the Huaihe River basin

Lall

Lima

et al. 2018

Preprint

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Abstract. We develop a hierarchical, multilevel Bayesian model for reducing uncertainties in local (at-site) and regional 10(ungauged or short data sites) flood frequency analysis. This model is applied to the annual maximum streamflow of 17 gauged sites in the Huaihe River basin, China. A Generalized Extreme Value (GEV) distribution is considered for each site, and its location and scale parameters depend on the site's drainage area. We assume the hyper-parameters come from Non-informative (independent, uniform) prior distribution and sample values from posterior distribution by the MCMC method using Gibbs sampling. For comparison, the ordinary GEV fitting by Maximum Likelihood Estimate (MLE) and index flood method fitted 15 by L-moments are also applied. The local simulation results show that for most sites the 95% credible interval simulated by the Hierarchical Bayesian model are narrower than the at site GEV outputs thus reducing uncertainty. By comparison, the homogeneity assumption of the index flood method often leads to large deviations from the empirical flood frequency curve.Cross validated flood quantiles and associated uncertainty intervals are also derived. These results show that the proposed model can better estimate the flood quantiles and their uncertainty than the index flood method.

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Changing of flood risk due to climate and development in Huaihe River basin, China

Cited by 32 publications

References 28 publications

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States

Flooding Hazards across Southern China and Prospective Sustainability Measures

Local and regional flood frequency analysis based on hierarchical Bayesian model: application to annual maximum streamflow for the Huaihe River basin

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