scholarly journals Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1229 ◽  
Author(s):  
Yongfang Wang ◽  
Guixiang Liu ◽  
Enliang Guo ◽  
Xiangjun Yun
Keyword(s):  
Flood Risk ◽  
Extreme Precipitation ◽  
Joint Distribution ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Surface Model ◽  
Copula Functions ◽  
Extreme Precipitation Events ◽  
Flood Disasters ◽  
Precipitation Events

Agricultural flood disaster risk assessment plays a vital role in agricultural flood disaster risk management. Extreme precipitation events are the main causes of flood disasters in the Midwest Jilin province (MJP). Therefore, it is important to analyse the characteristics of extreme precipitation events and assess the flood risk. In this study, the Multifractal Detrended Fluctuation Analysis (MF-DFA) method was used to determine the threshold of extreme precipitation events. The total duration of extreme precipitation and the total extreme precipitation were selected as flood indicators. The copula functions were then used to determine the joint distribution to calculate the bivariate joint return period, which is the flood hazard. Historical data and flood indicators were used to build an agricultural flood disaster vulnerability surface model. Finally, the risk curve for agricultural flood disasters was established to assess the flood risk in the MJP. The results show that the proposed approaches precisely describe the joint distribution of the flood indicators. The results of the vulnerability surface model are in accordance with the spatiotemporal distribution pattern of the agricultural flood disaster loss in this area. The agricultural flood risk of the MJP gradually decreases from east to west. The results provide a firm scientific basis for flood control and drainage plans in the area.

scholarly journals Daily Precipitation Threshold for Rainstorm and Flood Disaster in the Mainland of China: An Economic Loss Perspective

2020 ◽  
Vol 12 (1) ◽  
pp. 407
Author(s):  
Wenhui Liu ◽  
Jidong Wu ◽  
Rumei Tang ◽  
Mengqi Ye ◽  
Jing Yang
Keyword(s):  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Economic Loss ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Economic Losses ◽  
Flood Disasters ◽  
Precipitation Threshold ◽  
The Mainland Of China ◽  
The Relationship

Exploring precipitation threshold from an economic loss perspective is critical for rainstorm and flood disaster risk assessment under climate change. Based on the daily gridded precipitation dataset and direct economic losses (DELs) of rainstorm and flood disasters in the mainland of China, this paper first filtered a relatively reasonable disaster-triggering daily precipitation threshold (DDPT) combination according to the relationship between extreme precipitation days and direct economic loss (DEL) rates at province level and then comprehensively analyzed the spatial landscape of DDPT across China. The results show that (1) the daily precipitation determined by the combination of a 10 mm fixed threshold and 99.3th percentile is recognized as the optimal DDPT of rainstorm and flood disasters, and the correlation coefficient between annual extreme precipitation days and DEL rates reached 0.45 (p < 0.01). (2) The optimal DDPT decreases from southeast (up to 87 mm) to northwest (10 mm) across China, and the DDPTs of 7 out of 31 provinces are lower than 25 mm, while 5 provinces are higher than 50 mm on average. These results suggest that DDPTs exist with large spatial heterogeneity across China, and adopting regional differentiated DDPT is helpful for conducting effective disaster risk analysis.

scholarly journals Response of flood events to extreme precipitation: two case studies in Taihu Basin, China

2021 ◽  
Author(s):  
Feiqing Jiang ◽  
Zengchuan Dong ◽  
Yun Luo ◽  
Moyang Liu ◽  
Tao Zhou ◽  
...  
Keyword(s):  
Flood Risk ◽  
Extreme Precipitation ◽  
Flood Control ◽  
Return Periods ◽  
Flood Events ◽  
Copula Functions ◽  
Taihu Basin ◽  
Extreme Flood ◽  
Genetic Mechanisms ◽  
Precipitation Events

Abstract Flood events are typically triggered by extreme precipitation in rain-dominant basins. In this study, to better understand the genetic mechanisms and characteristics of floods, copula functions are used to analyze the response of flood events to extreme precipitation. The coincidence probabilities of the typical extreme flood and precipitation events are calculated; different return periods of their arbitrary combinations are calculated, whereas the dangerous domains for flood control under different return periods are identified; furthermore, flood risk analysis under different extreme precipitation scenarios is performed via their conditional exceedance probabilities. The Xitiaoxi catchment (XC) and Dongtiaoxi catchment (DC) in the Zhexi Region of the Taihu Basin are selected as the study area. The results show that in four scenarios with precipitation frequencies of 80%, 90%, 93.33%, and 95%, the probabilities of the dangerous flood are 9.72%, 10.57%, 10.86%, and 11.01% in the XC, respectively, and 5.91%, 6.31%, 6.44%, and 6.51% in the DC, respectively. This study provides a practical basis and guidance for the computation of rainstorm designs, management of flood control safety, and water resource scheduling in the Taihu Basin.

scholarly journals Does Flooding Define the Aquapelago? Constructing Venice’s flood disaster risk personality

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Ilan Kelman
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Management ◽  
Disaster Risk ◽  
Flood Risk Management ◽  
Flood Disaster ◽  
Flood Disasters ◽  
The Impact

Part of Venice’s character and appeal is sometimes constructed and construed as being not just about water, but also about the role which flood management plays, especially avoiding floods. A ‘disaster risk personality’ is created regarding water-land interaction, based mainly on avoiding inundation. This paper explores the construction of this approach for Venice’s flood disaster risk personality through a conceptual examination of Venice as an aquapelago to understand water-land links and separations. With this baseline, three decision-making lessons for Venice’s flood disaster risk personality are detailed: (i) the dynamicity of the water-land interface and hence the aquapelago, (ii) the impact of structural approaches on disaster risk personality, and (iii) the implications of submergence. While non-structural approaches to flood risk management tend to have the best long-term successes in averting flood disasters, Venice has chosen the opposite approach of constructing a large barrier, substantively changing its disaster risk personality. This choice is not inherently positive or negative, with the desirability and usefulness being subjective and based on the (flood) disaster risk personality sought for the locale.

scholarly journals The RainBO Platform for Enhancing Urban Resilience to Floods: An Efficient Tool for Planning and Emergency Phases

Climate ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 145
Author(s):  
Giulia Villani ◽  
Stefania Nanni ◽  
Fausto Tomei ◽  
Stefania Pasetti ◽  
Rita Mangiaracina ◽  
...  
Keyword(s):  
Flood Risk ◽  
Extreme Precipitation ◽  
Urban Areas ◽  
Early Warning Systems ◽  
Economic Losses ◽  
Urban Resilience ◽  
Multiple Sources ◽  
Life Project ◽  
Extreme Precipitation Events ◽  
Precipitation Events

Many urban areas face an increasing flood risk, which includes the risk of flash floods. Increasing extreme precipitation events will likely lead to greater human and economic losses unless reliable and efficient early warning systems (EWS) along with other adaptation actions are put in place in urban areas. The challenge is in the integration and analysis in time and space of the environmental, meteorological, and territorial data from multiple sources needed to build up EWS able to provide efficient contribution to increase the resilience of vulnerable and exposed urban communities to flooding. Efficient EWS contribute to the preparedness phase of the disaster cycle but could also be relevant in the planning of the emergency phase. The RainBO Life project addressed this matter, focusing on the improvement of knowledge, methods, and tools for the monitoring and forecast of extreme precipitation events and the assessment of the associated flood risk for small and medium watercourses in urban areas. To put this into practice, RainBO developed a webGIS platform, which contributes to the “planning” of the management of river flood events through the use of detailed data and flood risk/vulnerability maps, and the “event management” with real-time monitoring/forecast of the events through the collection of observed data from real sensors, estimated/forecasted data from hydrologic models as well as qualitative data collected through a crowdsourcing app.

scholarly journals Semiarid grasslands and extreme precipitation events: Do experimental results scale to the landscape?

Ecology ◽  
2021 ◽  
Author(s):  
Alison K. Post ◽  
Kristin P. Davis ◽  
Jillian LaRoe ◽  
David L. Hoover ◽  
Alan K. Knapp
Keyword(s):  
Extreme Precipitation ◽  
Experimental Results ◽  
Extreme Precipitation Events ◽  
Precipitation Events
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