A Three-Parameter S-Shaped Function of Flood Return Period and Damage

Li, Chaochao; Cheng, Xiaotao; Li, Na; Liang, Zhongmin; Wang, Yanyan; Han, Songjun

doi:10.1155/2016/6583906

Cited by 10 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the AEP decreased, the damage values showed an exponential increase with the increase of the return periods. This phenomenon was consistent with the fact that the flood damage process showed a slow trend in the early stage but a rapid trend in the later stage (Li et al., 2016). For the 10% and 5% AEP floods, the southwest of the Jinshui District was less affected due to its relatively high elevation and good pipeline network.…”

Section: Resultssupporting

confidence: 87%

Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties

Wang

et al. 2022

Water Resources Research

View full text Add to dashboard Cite

On 15 July 2021, the massive floods that occurred in many German states were seen as a national tragedy by Chancellor Angela Merkel. On 20 July, in Zhengzhou, China, a time-interval rainfall of 201.9 mm between 16:00 and 17:00 broke the global land record. Millions of people were affected and the economic loss amounted to 53.2 billion Chinese yuan. On 1 September, record rainfall caused floods in New York that largely paralyzed the city. Flooding has become a major constraint on urban public security and social and economic development (Alexander et al., 2019;Guo et al., 2021;Lee et al., 2020). Quantifying and evaluating the damage of flooded urban areas not only allows for timely mitigation measures, but also provides a basis for post-disaster recovery and reconstruction (Kreibich et al., 2014;Merz et al., 2010;Schröter et al., 2014). Accurate flood damage assessment results are also essential for the natural disaster insurance industry in post-disaster claims settlement (Diakakis et al., 2020;Wagenaar et al., 2017). Hence, scientific and reasonable flood damage quantification plays an important role in urban flood risk control and rescue decision making.The flood damage assessment process is characterized by multidimensionality, dynamic changes and uncertainties due to multiple factors such as regional rainfall characteristics, geographical conditions and socio-economic levels (Gall, 2017;Schoppa et al., 2020). It is a widely used flood damage assessment method to achieve damage results by combining flood damage ratios with inundation depth, land use and economic factors (Chen et al., 2019;Jongman et al., 2012;Scorzini & Frank, 2017). The damage ratio serves as the link between flood inundation

show abstract

Section: Resultssupporting

confidence: 87%

Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties

Wang

et al. 2022

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…The historical data or simulation data can be utilized for curve fitting. Mathematical statistical analysis tools are used to determine the values of the parameters in this study [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas

Cheng

et al. 2016

IJERPH

Self Cite

View full text Add to dashboard Cite

Flood risk analysis is more complex in urban areas than that in rural areas because of their closely packed buildings, different kinds of land uses, and large number of flood control works and drainage systems. The purpose of this paper is to propose a practical framework for flood risk analysis and benefit assessment of flood control measures in urban areas. Based on the concept of disaster risk triangle (hazard, vulnerability and exposure), a comprehensive analysis method and a general procedure were proposed for urban flood risk analysis. Urban Flood Simulation Model (UFSM) and Urban Flood Damage Assessment Model (UFDAM) were integrated to estimate the flood risk in the Pudong flood protection area (Shanghai, China). S-shaped functions were adopted to represent flood return period and damage (R-D) curves. The study results show that flood control works could significantly reduce the flood risk within the 66-year flood return period and the flood risk was reduced by 15.59%. However, the flood risk was only reduced by 7.06% when the flood return period exceeded 66-years. Hence, it is difficult to meet the increasing demands for flood control solely relying on structural measures. The R-D function is suitable to describe the changes of flood control capacity. This frame work can assess the flood risk reduction due to flood control measures, and provide crucial information for strategy development and planning adaptation.

show abstract

“…According to the research (Li et al 2016a, Li et al 2016b,，Olesen et al 2017,, (Chang et al 2021), the flood loss-return curve was approximately as a S-shaped growth function. Of course, it is generally impossible to evaluate the infinite flood losses, and the upper limit of flood return period can be set according to the actual situation of the study area.…”

Section: The Construction Of Flood Damage Functionmentioning

confidence: 97%

Stormwater and flood simulation of sponge city and LID mitigation benefit assessment

Zhang

Wang³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

In the context of global climate changing and the influence of human activities, "sponge city" is put forward to realize the purification, collection and reuse of rainwater. The effective evaluation of LID facilities in sponge cities is of great guiding significance for the promotion and construction of sponge cities. IFMS (Integrated Flood Modeling System) Urban was selected to construct the rainstorm simulation. LID parameters were added to simulate the improvement of urban waterlogging after the construction of sponge city. A reasonable disaster loss assessment method was used to calculate the disaster mitigation benefit brought by the construction of sponge city. Through the comparison of the inundation situation before and after LID facilities construction, it can be concluded that the mitigation effect of LID facilities on the overall inundation area of the city decreases with the increase of rainfall recurrence period, with the maximum reduction rate reaching 13.63% in the 5-year recurrence period and the minimum reduction rate of 11.06% in the 50-year recurrence period. LID facilities have a better disaster reduction effect for rainfall events with a small recurrence period than for rainfall events with a large recurrence period.

show abstract

A Three-Parameter S-Shaped Function of Flood Return Period and Damage

Cited by 10 publications

References 25 publications

Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties

Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties

A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas

Stormwater and flood simulation of sponge city and LID mitigation benefit assessment

Contact Info

Product

Resources

About