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

2020 ◽  
Author(s):  
Wenhui Liu ◽  
Jidong Wu ◽  
Rumei Tang ◽  
Mengqi Ye ◽  
Jing Yang
Keyword(s):  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Economic Loss ◽  
Disaster Risk ◽  
Economic Losses ◽  
Precipitation Threshold ◽  
The Mainland Of China ◽  
Direct Economic Loss ◽  
The Relationship ◽  
Province Level

&lt;p&gt;Exploring precipitation threshold from an economic loss perspective is critical for rainstorm and &amp;#64258;ood disaster risk assessment under climate change. Based on the daily gridded precipitation dataset and direct economic losses (DELs) of rainstorm and &amp;#64258;ood disasters in the mainland of China, this paper &amp;#64257;rst &amp;#64257;ltered 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 &amp;#64257;xed threshold and 99.3th percentile is recognized as the optimal DDPT of rainstorm and &amp;#64258;ood disasters, and the correlation coe&amp;#64259;cient between annual extreme precipitation days and DEL rates reached 0.45 (p &lt; 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 di&amp;#64256;erentiated DDPT is helpful for conducting e&amp;#64256;ective disaster risk analysis.&lt;/p&gt;

scholarly journals Identifying hydro-meteorological events from precipitation extremes indices and other sources over northern Namibia, Cuvelai Basin

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Frans C. Persendt ◽  
Christopher Gomez ◽  
Peyman Zawar-Reza
Keyword(s):  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Economic Losses ◽  
Precipitation Data ◽  
Rainfall Station ◽  
Extreme Precipitation Events ◽  
Daily Precipitation Data ◽  
Dry Spell ◽  
Flood Disasters ◽  
Precipitation Indices

Worldwide, more than 40% of all natural hazards and about half of all deaths are the result of flood disasters. In northern Namibia flood disasters have increased dramatically over the past half-century, along with associated economic losses and fatalities. There is a growing concern to identify these extreme precipitation events that result in many hydro-meteorological disasters. This study presents an up to date and broad analysis of the trends of hydrometeorological events using extreme daily precipitation indices, daily precipitation data from the Grootfontein rainfall station (1917–present), regionally averaged climatologies from the gauged gridded Climate Research Unit (CRU) product, archived disasters by global disaster databases, published disaster events in literature as well as events listed by Mendelsohn, Jarvis and Robertson (2013) for the data-sparse Cuvelai river basin (CRB). The listed events that have many missing data gaps were used to reference and validate results obtained from other sources in this study. A suite of ten climate change extreme precipitation indices derived from daily precipitation data (Grootfontein rainfall station), were calculated and analysed. The results in this study highlighted years that had major hydro-meteorological events during periods where no data are available. Furthermore, the results underlined decrease in both the annual precipitation as well as the annual total wet days of precipitation, whilst it found increases in the longest annual dry spell indicating more extreme dry seasons. These findings can help to improve flood risk management policies by providing timely information on historic hydro-meteorological hazard events that are essential for early warning and forecasting.

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 Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 126
Author(s):  
Youjie Jin ◽  
Jianyun Zhang ◽  
Na Liu ◽  
Chenxi Li ◽  
Guoqing Wang
Keyword(s):  
Spatial Resolution ◽  
Loss Rate ◽  
Flash Flood ◽  
Economic Loss ◽  
Economic Losses ◽  
Risk Level ◽  
Loss Assessment ◽  
Flood Loss ◽  
Flood Disasters

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.

scholarly journals Impacts of Atmospheric Rivers in Extreme Precipitation on the European Macaronesian Islands

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 325 ◽  
Author(s):  
Alexandre M. Ramos ◽  
Ricardo M. Trigo ◽  
Ricardo Tomé ◽  
Margarida L. R. Liberato
Keyword(s):  
Canary Islands ◽  
Extreme Precipitation ◽  
Daily Precipitation ◽  
Comprehensive Assessment ◽  
Atmospheric Rivers ◽  
Extreme Precipitation Events ◽  
Macaronesian Islands ◽  
Weather Stations ◽  
The Relationship ◽  
Precipitation Events

The European Macaronesia Archipelagos (Azores, Madeira and Canary Islands) are struck frequently by extreme precipitation events. Here we present a comprehensive assessment on the relationship between atmospheric rivers and extreme precipitation events in these three Atlantic Archipelagos. The relationship between the daily precipitation from the various weather stations located in the different Macaronesia islands and the occurrence of atmospheric rivers (obtained from four different reanalyses datasets) are analysed. It is shown that the atmospheric rivers’ influence over extreme precipitation (above the 90th percentile) is higher in the Azores islands when compared to Madeira or Canary Islands. In Azores, for the most extreme precipitation days, the presence of atmospheric rivers is particularly significant (up to 50%), while for Madeira, the importance of the atmospheric rivers is reduced (between 30% and 40%). For the Canary Islands, the occurrence of atmospheric rivers on extreme precipitation is even lower.

scholarly journals Analysis of the Losses Due to Flood and Waterlogging Disasters in China during 2006 to 2017

Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 25
Author(s):  
Weiwei Shao ◽  
Yuanfei Li ◽  
Dianyi Yan ◽  
Jiahong Liu ◽  
Zhiyong Yang ◽  
...  
Keyword(s):  
Flood Disaster ◽  
Disaster Mitigation ◽  
High Concentration ◽  
Rapid Urbanization ◽  
Analysis And Evaluation ◽  
Flood Disasters ◽  
Disaster Losses ◽  
Disaster Control ◽  
The Impact ◽  
The Relationship

China is in a period of rapid urbanization. Due to the high concentration of population and industries, the loss due to flood and waterlogging is becoming more and more serious. Therefore, it is of great significance to strengthen the analysis and evaluation of the losses due to flood and waterlogging disasters in China for the recent years. This study analyzed the losses caused by flood and waterlogging disasters in China from 2006 to 2017. The results showed that the most serious year affected by floods and waterlogging was 2010. However, the relationship between rainfall and flood disaster losses was not significant, which may be because the occurrence of flood disasters is caused by many factors. The spatial distribution showed that the eastern and southern parts of China suffered greater losses from the flood and waterlogging disasters because these areas are more vulnerable to floods and waterlogging disasters under the impact of both monsoons and typhoons. This study hopes to provide some reference for flood disaster control and disaster mitigation in the future.

scholarly journals Urban settlements' vulnerability to flood risks in African cities: A conceptual framework

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Rafiu O. Salami ◽  
Jason K. Von Meding ◽  
Helen Giggins
Keyword(s):  
Vulnerability Assessment ◽  
Risk Perceptions ◽  
Large Scale ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Flood Risks ◽  
African Cities ◽  
Populations At Risk ◽  
Flood Disasters ◽  
Urban Settlements

In the recent past, the frequency and gravity of large-scale flood disasters have increased globally, resulting in casualties, destruction of property and huge economic loss. The destructive flood disaster devastating Louisiana, USA, is a recent example. Despite the availability of advanced technological capabilities for dealing with floods in developed nations, flood disasters continue to become more rampant and disastrous. Developing countries in Africa such as Benin, Ghana, Nigeria, Senegal and Sudan have recently experienced severe flooding, leaving a considerable number of human casualties and thousands displaced. In African cities, most vulnerable urban residents usually have lesser capacity and fewer resources to recover from the shocks of disaster as a result of the failure of governments to build human security for poor African residents. Many scholars have acknowledged the lack of appropriate vulnerability assessment frameworks and policies, questioning the efficiency and effectiveness of the tested models in Africa. The ability to accurately identify, measure and evaluate the various vulnerabilities of affected people and communities is a right step towards reducing disaster risk. This article aimed at developing a framework for assessing urban settlements’ vulnerability to flood risks in Africa. The framework is currently being tested to assess various dimensions of vulnerability drivers in three urban communities in Ibadan metropolis, the third largest city in Nigeria, focusing more on flood risk perceptions and behaviour of the risk bearers. It uses participatory and mixed method approaches to socially construct vulnerability of populations at risk. This model emanates from the evaluation of considerable relevant literature and an array of vulnerability assessment frameworks. It integrates some approaches that are applicable to African cities in a bid to create a versatile tool to assess, identify and mitigate the effects of flood disaster risk and reduce urban poor’s vulnerability to natural and human-induced hazards.

Flood Disaster Risk Reduction for Urban Collective Housing in Thailand

2020 ◽  
Vol 15 (5) ◽  
pp. 609-620
Author(s):  
Yukiko Tahira ◽  
Akiyuki Kawasaki ◽  
◽  
Keyword(s):  
Risk Reduction ◽  
Questionnaire Survey ◽  
Disaster Risk Reduction ◽  
Lower Class ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Socioeconomic Disparities ◽  
Residential Status ◽  
Collective Housing ◽  
The Relationship

Housing in Thailand is expanding to the suburbs, especially for the lower classes, with more people living in collective housing. This study used a questionnaire survey to analyze the relationship between socioeconomic disparities in collective housing and disaster risk reduction (DRR) following the great flood of 2011. The results show that, although suburban lower-class collective housing was severely affected by the flood, DRR measures remain insufficient. The findings suggest that, in addition to supporting victims irrespective of residential status and aiding apartment managers in implementing DRR measures, lowering levels of inundation in the suburbs by “sharing” flood water with the more affluent city centers is an option that should be considered.

scholarly journals The Role of Social Media as a Measures of Information Delivery to Reduce the Risk of Flood Disasters in Kecamatan Pasar Kliwon, Surakarta City in 2020

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Mikael Dafit Adi Prasetyo ◽  
Chatarina Muryani ◽  
Gentur Adi Tjahjono
Keyword(s):  
Social Media ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Disaster Mitigation ◽  
The Public ◽  
Flood Disasters ◽  
Use Of Social Media ◽  
The Impact

<em>This study aims to perceptions and responses to flood disaster risk reduction social media in Pasar Kliwon District, Surakarta City, 2020. Utilization of whatsapp social media as a means of delivering information to the public in an effort to reduce disaster risk flooding in Pasar Kliwon Subdistrict, Surakarta City, 2020. the impact of the use of whatsapp social media as a means of delivering information on community efforts to reduce the risk of flood disasters in Pasar Kliwon District, Surakarta.The results of the study are as follows: Perception of flood disaster in Pasar Kliwon Subdistrict, if viewed from the potential of the disaster, it can be categorized as very large. For flood disaster vulnerability is also categorized as flood disaster prone. And disaster mitigation is carried out in the form of responsiveness and preparedness from stakeholders. Here the use of social media as a means of delivering flood disaster information.</em>

scholarly journals Flood Disaster Risk Perception and Sense of Place Among Households Along the Ocoy River in Negros Oriental, Philippines

2021 ◽  
Vol 24 (1) ◽  
pp. 56-67
Author(s):  
Enrique Oracion ◽  
Keyword(s):  
Risk Perception ◽  
Sense Of Place ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Survey Method ◽  
The Common ◽  
High Flood ◽  
The Relationship ◽  
Resettlement Programs ◽  
Common Understanding

This quantitative study using a survey method aims to understand the relationship between flood disaster risk perception and the sense of place of people living in communities along a river. The survey covered a non-probability sample of 120 respondents from households located along with the downstream, midstream, and upstream sections of the Ocoy River in Negros Oriental. Generally, the respondents have very high flood disaster risk perception and sense of place scores which do not significantly differ across communities. But the significant positive relationship between these two major variables contradicts the common understanding that disaster makes people devalue particular places and relocate to safer areas. The majority who conditionally agreed to relocate may not proceed if they perceived a more difficult life in the resettlement site. Adaptive resettlement programs and policies are recommended where the desired characteristics of a place of flood survivors are reconstructed. At the same time, risk reduction and mitigation mechanisms are designed for those who decided to remain in riverside communities.

Sign in / Sign up

Export Citation Format

Share Document