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 Health and Economic Loss Assessment of PM2.5 Pollution during 2015–2017 in Gansu Province, China

2020 ◽  
Vol 17 (9) ◽  
pp. 3253
Author(s):  
Qin Liao ◽  
Wangqiang Jin ◽  
Yan Tao ◽  
Jiansheng Qu ◽  
Yong Li ◽  
...  
Keyword(s):  
Health Economic ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Health Impact ◽  
Gansu Province ◽  
Capital City ◽  
Economic Losses ◽  
Loss Assessment ◽  
Per Capita ◽  
Log Linear

Many studies have reported that air pollution, especially fine particulate matter (PM2.5), has a significant impact on health and causes economic loss. Gansu Province is in the northwest of China, which is a typical economically underdeveloped area. However, few studies have evaluated the economic loss of PM2.5 related to health effects in this province. In this study, a log-linear exposure-response function was used to estimate the health impact of PM2.5 in 14 cities in Gansu Province from 2015 to 2017, and the amended human capital (AHC) and cost of illness (COI) method were used to evaluate the related economic loss caused by the health impact from PM2.5. The results show that the estimated total number of health endpoints attributed to PM2.5 pollution were 1,644,870 (95%CI: 978,484–2,215,921), 1,551,447 (95%CI: 917,025–2,099,182) and 1,531,372 (95%CI: 899,769–2,077,772) in Gansu Province from 2015 to 2017, respectively. Correspondingly, the economic losses related to health damage caused by PM2.5 pollution were 42,699 (95%CI: 32,380–50,768) million Chinese Yuan (CNY), 43,982 (95%CI: 33,305–52,386) million CNY and 44,261 (95%CI: 33,306–52,954) million CNY, which were equivalent to 6.45% (95%CI: 4.89%–7.67%), 6.28% (95%CI: 4.75%–7.48%), and 5.93% (95%CI: 4.64%–7.10%) of the region Gross Domestic Product (GDP) from 2015 to 2017, respectively. It could be seen that the proportions of health economic loss to GDP were generally high, although the proportion had a slight downward trend. The economic loss from chronic bronchitis and all-cause mortality accounted for more than 94% of the total economic loss. The health impact, economic loss and per capita economic loss in Lanzhou, the provincial capital city of Gansu, were obviously higher than other cities from the same province. The economic loss in Linxia accounted for the highest proportion of GDP. The health impacts in the Hexi region, including the cities of Jiuquan, Jiayuguan, Zhangye, Jinchang and Wuwei, were generally lower, but the economic loss and per capita economic loss were still higher. We also found that urbanization and industrialization were highly correlated with health economic loss caused by PM2.5 pollution. In conclusion, the PM2.5-related health economic burden in Gansu Province was serious. As an economically underdeveloped region, it was very important to further adopt rigid and effective pollution control policies.

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.

Study on the Evaluation Models of Direct Economic Losses in Urban Flood Disasters

2012 ◽  
Vol 433-440 ◽  
pp. 4878-4882
Author(s):  
De Cai Kong ◽  
Feng Ping Wu
Keyword(s):  
Loss Rate ◽  
Economic Loss ◽  
Economic Losses ◽  
Urban Flood ◽  
General Process ◽  
Evaluation Models ◽  
Direct Economic Loss ◽  
Direct Economic Losses ◽  
Disaster System

Based on disaster system theory, flood risk assessment was conducted in regard to natural properties of hazard and environment as well as socioeconomics of hazard-affected bodies. The general process of economic loss evaluation in flood was consisted of two parts, namely the evaluation of pre-disaster value of hazard-affected bodies and the determination of direct economic loss rate in the flood disaster. At last, the evaluation models of direct economic losses in urban flood were established.

scholarly journals Peste Des Petits Ruminants of Goats, Outbreak and Economic Losses : A Case Study

2011 ◽  
Vol 54 (2) ◽  
pp. 76-82
Author(s):  
Ausraful Islam ◽  
Amitav Singh ◽  
Mohammad Amirul Islam ◽  
 Shankar Majumder
Keyword(s):  
Survival Rate ◽  
Economic Loss ◽  
Economic Losses ◽  
Peste Des Petits Ruminants ◽  
Survival Percentage ◽  
Local Areas ◽  
Infectious Keratoconjunctivitis

In the determination of outbreak of peste des petits ruminants (PPR) and the economic losses caused by the disease 1392 distributed goats at Dimla thana of Nilfamari district, purchased from different markets, were studied during March, 2007 to May, 2007. Among the distributed goats, 54.7% died before treatment, 14.7% died after treatment and 30.6% survived after treatment. Survival rate was 67.51%. Maximum number (77.6%) of goats died before treatment in the flocks of Modhupur. Survival rate of the treated goats in the locally purchased flock was the highest (98.9%) whereas that in the goats purchased from Lalmonirhat was the lowest (34.3%). Survival percentage of the non-vaccinated goats was higher (71.60%) than that of the vaccinated goats (64.95%). Among the treated goats, 7.9% were pregnant, 4.4% of them aborted and 3.5% remained pregnant though they were infected. Infectious keratoconjunctivitis (IKC) was observed in 2.5% PPR infected goats. The total economic loss was estimated at Bangladesh Tk 10,16434 ($ 14520.49). Locally collected goats had the highest probability (80.6%) of survival after treatment whereas those collected from Rangpur had the highest probability (81.3%) of death before  treatment. Probability that the goats will die after treatment was the highest among the goats purchased from Lalmonirhat (59.5%). Survival of goats was significantly (P<0.05) associated with place of purchase. Goats purchased from the local areas were 26.8 times more likely to survive than those collected from Modhupur. Goats of Lalmonirhat were 1.993 times more likely to survive than those of Modhupur

A Case Study on Estimation of Business Interruption Losses to Industrial Sectors Due to Flood Disasters

2015 ◽  
Vol 10 (5) ◽  
pp. 981-990 ◽  
Author(s):  
Lijiao Yang ◽  
◽  
Hirokazu Tatano ◽  
Yoshio Kajitani ◽  
Xinyu Jiang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Loss Rate ◽  
Management Strategies ◽  
Economic Loss ◽  
Industrial Sector ◽  
Industrial Sectors ◽  
Risk Management Strategies ◽  
Input Validation ◽  
Business Interruption

The case study we present on estimating business interruption (BI) loss to industrial sectors due to floods in Aichi Prefecture, Japan, involves four steps – estimating the business interruption loss rate (BILR), estimating the spatial distribution of hazard information, identifying the spatial distribution of exposure such as firms and employees, and calculating BI loss based on the BILR, hazards, and exposure information as input. Validation was conducted by comparing estimated BI loss to economic loss calculated by an index of industrial production (IIP). We found that the proposed methodology quickly and feasibly estimates BI loss once water depth is obtained. Estimated BILR and BI loss in the industrial sector provides information enabling individual firms to formulate business continuity plans and design risk management strategies.

scholarly journals What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation

2016 ◽  
Vol 16 (8) ◽  
pp. 1737-1753 ◽  
Author(s):  
Francesco Silvestro ◽  
Nicola Rebora ◽  
Lauro Rossi ◽  
Daniele Dolia ◽  
Simone Gabellani ◽  
...  
Keyword(s):  
Flash Flood ◽  
Economic Losses ◽  
Risk Level ◽  
Hazard Mapping ◽  
Damage Estimation ◽  
Rainfall Events ◽  
The People ◽  
Set Up ◽  
The City ◽  
Made In

Abstract. During the autumn of 2011 two catastrophic, very intense rainfall events affected two different parts of the Liguria Region of Italy causing various flash floods. The first occurred in October and the second at the beginning of November. Both the events were characterized by very high rainfall intensities (> 100 mm h−1) that persisted on a small portion of territory causing local huge rainfall accumulations (> 400 mm 6 h−1). Two main considerations were made in order to set up this work. The first consideration is that various studies demonstrated that the two events had a similar genesis and similar triggering elements. The second very evident and coarse concern is that two main elements are needed to have a flash flood: a very intense and localized rainfall event and a catchment (or a group of catchments) to be affected. Starting from these assumptions we did the exercise of mixing the two flash flood ingredients by putting the rainfall field of the first event on the main catchment struck by the second event, which has its mouth in the biggest city of the Liguria Region: Genoa. A complete framework was set up to quantitatively carry out a “what if” experiment with the aim of evaluating the possible damages associated with this event. A probabilistic rainfall downscaling model was used to generate possible rainfall scenarios maintaining the main characteristics of the observed rainfall fields while a hydrological model transformed these rainfall scenarios in streamflow scenarios. A subset of streamflow scenarios is then used as input to a 2-D hydraulic model to estimate the hazard maps, and finally a proper methodology is applied for damage estimation. This leads to the estimation of the potential economic losses and of the risk level for the people that stay in the affected area. The results are interesting, surprising and in a way worrying: a rare but not impossible event (it occurred about 50 km away from Genoa) would have caused huge damages estimated between 120 and EUR 230 million for the affected part of the city of Genoa, Italy, and more than 17 000 potentially affected people.

Analytical Estimation of Economic Loss for Buildings in the Area Struck by the 1999 Athens Earthquake and Comparison with Statistical Repair Costs

2007 ◽  
Vol 23 (2) ◽  
pp. 333-355 ◽  
Author(s):  
A. Kappos ◽  
V. Lekidis ◽  
G. Panagopoulos ◽  
I. Sous ◽  
N. Theodulidis ◽  
...  
Keyword(s):  
Seismic Hazard ◽  
Economic Loss ◽  
Economic Losses ◽  
Soil Conditions ◽  
Seismic Action ◽  
Loss Assessment ◽  
Building Stock ◽  
Analytical Methodology ◽  
Repair Costs ◽  
Athens Earthquake

Reliable loss assessment (in monetary terms) for buildings struck by an earthquake is an essential factor in the development of seismic risk scenarios for a given urban area. The evaluation of loss due to building damage in a certain region depends both on seismic hazard and the vulnerability of the building stock in the area. The study presented herein consists of predicting the loss to selected groups of buildings struck by the 1999 Athens earthquake using an analytical methodology and comparison with statistical repair costs collected after the earthquake. Since no near-field strong ground motion recordings from the main shock were available, a pilot methodology was used for its analytical evaluation for different soil conditions. Different suites of motions were derived, based on various theoretical and semi-empirical approaches, and were then used in analytical investigations of the seismic behavior of the buildings in the examined area, aiming at the prediction of economic losses. An in-situ survey of about 10% of the total building stock was performed, and data regarding the structural type, actual earthquake damage, and corresponding repair costs were collected. The statistically derived repair cost for the area was compared with the economic loss estimation obtained using the analytical procedure and various estimates of the seismic action in the area considered, and was found to agree with it reasonably for some of the seismic hazard scenarios.

Sign in / Sign up

Export Citation Format

Share Document