scholarly journals Wind and Rain Losses for Metal-clad Contemporary Houses Subjected to Non-cyclonic Windstorms

Author(s):  
Hao Qin

Severe windstorms cause millions in losses annually for housing in Southeast Australia that has more than half of Australia’s population. The risk assessment for housing in these non-cyclonic regions is the key to assessing the cost-effectiveness of relevant wind mitigation measures to reduce the economic losses. This study develops a probabilistic risk assessment framework to evaluate the wind and rain losses for Australian contemporary houses subjected to non-cyclonic windstorms, which integrates the hazard modelling for extreme wind and associated rainfall, reliability-based wind damage assessment, rainwater intrusion evaluation and economic loss modelling. The risk analysis was conducted for metal-clad contemporary houses in Brisbane and Melbourne. It was found that damage to building interior and contents 18 caused by rainwater intrusion associated with extreme winds is the major contributor to the annual expected economic losses, and houses in Brisbane are generally subjected to higher losses than houses in Melbourne.

Author(s):  
G. J. Orme ◽  
M. Venturini

In this paper, a procedure for Risk Assessment, which makes use of two risk indices (PML - Probable Maximum Loss and MFL - Maximum Foreseeable Loss) is applied to power plants to evaluate potential economic losses due to risk exposure for two different loss scenarios (probable and worst-case). The paper is mainly focused on Property Insurance aspects, though Boiler and Machinery Insurance and business interruption are also addressed. First, the procedure is applied to provide a prediction of probable and maximum loss as a function of power output. The results allow an estimate of whether the adoption of risk assessment procedures and devices allows an actual payback for plant owners. Second, the economic loss predicted through the risk assessment procedure is compared against real power plant loss values, taken from published data.


2011 ◽  
Vol 361-363 ◽  
pp. 1627-1633
Author(s):  
Ling Jia ◽  
Chang Hai Qin ◽  
Hong Gan

Evaluation of the cost of the environmental degradation of water is one of the difficulties in the System of Environmental-Economic Accounting for Water. In this study, the concept of the cost of the environmental degradation of water was analyzed for the first time. Based on a discussion of evaluation methods related to environmental degradation of water at home and abroad, and the characteristics of the cost of the environmental degradation of water, a set of relatively complete and operational methods to evaluate the cost of the environmental degradation of water was proposed. The calculation results obtained using the Taihu Basin as an example showed that the cost of the environmental degradation of water based on the damage assessment method was four times greater than that based on the cost assessment method. These findings indicate that source control of pollutants provides environmental protection, while reducing the cost of the environmental degradation of water and avoiding economic losses.


2021 ◽  
Vol 65 (4) ◽  
pp. 383-389
Author(s):  
Anna Gierak ◽  
Krzysztof Śmietanka

Abstract Introduction of an animal viral disease, especially a notifiable disease, into an importing country or region free from the disease may lead to serious epidemiological consequences and economic losses. Trade in live animals is historically considered one of the most important risk pathways. To estimate the magnitude of such risk, the likelihood of a virus’ entry into a country and the consequences of this event should be jointly evaluated. Depending on data availability, the urgency of the problem and the detail level of the objectives, a risk assessment may be conducted in a qualitative, semi-quantitative or quantitative way. The purpose of this review was firstly to provide a brief description of each step of the risk analysis process, with particular emphasis on the risk assessment component, and subsequently to supply examples of different approaches to the assessment of the risk of the introduction of selected animal viral diseases. Based on the reviewed models, the overall likelihood of introduction of particular diseases was generally estimated as low. The output risk value was strongly dependent on the duration of the silent phase of the epidemic in the country of origin. Other parameters with some bearing upon the risk derived from the epidemiological situation in the country of origin and the biosecurity or mitigation measures implemented in the country of destination. The investigated models are universal tools for conducting assessment of the risk of introduction of various animal diseases to any country. Their application may lead to timely implementation of appropriate measures for the prevention of the spread of a disease to another country or region.


Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2187
Author(s):  
Mahesh P. Tiwari ◽  
Bishnu P. Devkota ◽  
Rodney M. Jackson ◽  
Bir Bahadur Khanal Chhetri ◽  
Sistata Bagale

Livestock depredation across the trans-Himalaya causes significant economic losses to pastoralist communities. Quantification of livestock predation and the assessment of variables associated with depredation are crucial for designing effective long-term mitigation measures. We investigated the patterns and factors of livestock depredation by snow leopards (Panthera uncia) using semi-structured questionnaires targeting herders in the Narphu valley of the Annapurna Conservation Area, Nepal. During the two years (2017/18 and 2018/19), 73.9% of the households interviewed (n = 65) lost livestock to snow leopards, with an annual average loss of two livestock per household. Of the total depredation attributed to snow leopards, 55.4% were yak (mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8% cattle. Results from applying Generalized Linear Mixed Models (GLMMs) revealed the total number of livestock owned and the number of larger bodied livestock species as the main explanatory covariates explaining livestock depredation. Forty-one (41%) of all herders considered snow leopard’s preference for domestic livestock as the main factor in livestock predation, whereas only 5% perceived poor herding practice as the main reason for the loss. Our study found poor and changing herding practices in the valley, whereby 71% herders reported careful herding as a solution to snow leopard depredation, and 15% of herders considered the complete extermination of snow leopards as the best solution to the problem. Tolerance levels and awareness among herders towards snow leopard conservation is increasing, mainly due to the Buddhist religion and strict law enforcement within this protected area. We recommend the effective implementation of a community-based livestock insurance scheme to compensate the economic loss of herders due to predation and improved herding practices as the recommended mitigation measures for ensuring livestock security and snow leopards’ conservation in the valley.


2017 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Andrian Ramadhan ◽  
Siti Hajar Suryawati ◽  
Sonny Koeshendrajana

Kejadian tumpahan minyak di laut bisa terjadi sewaktu-waktu dan dimana saja khususnya yang memiliki kedekatan dengan jalur perkapalan dan aktivitas pengeboran minyak. Hal ini menuntut kewaspadaan pemerintah sekaligus kemampuan untuk menanggulangi kejadian yang terjadi secara cepat. Seiring dengan itu, pemerintah juga harus segera dapat menghitung nilai kerugian atau dampak ekonomi yang ditimbulkan. Penelitian ini bertujuan untuk menyusun pedoman perhitungan dampak kerugian akibat tumpahan minyak dengan pendekatan valuasi ekonomi. Penilaian dengan pendekatan ini memberi keuntungan yaitu terhitungnya seluruh manfaat barang dan jasa yang hilang baik yang bersifat ekonomi langsung, ekologi maupun sosial budaya. Secara total nilai dampak ekonomi dihitung dengan memasukkan tiga komponen yaitu biaya kerugian ekonomi yang dikompensasi, biaya rehabilitasi dan biaya administrasi penghitungan kerugian.Tittle: Economic Valuation Approach for Calculating the Economic Impact Due to Oil Spill on Coastal and MarineOil spills in the sea water can occur at anytime and anywhere especially on sites are closely associated with shipping and oil drilling activities. This issue requires government vigilance and ability in order to cope with it responsively. The government must also be able to calculate the economic loss. The purpose of this research is to compose a guidance of economic valuation for oil spill economic impact. The use of economic valuation give advantages where the loss of all benefits of goods and services, that include economic, ecological and socio-cultural value, are comprehensively counted. In total, the economic impact is calculated based on three components: the cost of compensated economic losses, rehabilitation costs and administrative costs of calculating losses.


Author(s):  
O Shandyba ◽  
S Khursenko ◽  
E Semernya

Due to human morbidity due to environmental pollution, society suffers significant economic losses. In the procedure for assessing damage and planning security measures, two main stages are usually distinguished, consisting of a direct calculation of various financial and other types of damage and a marketing analysis with minimization of the “cost - prevented damage” ratio. In the latter case, it is necessary to have not only a representative statistical monitoring database pollution and morbidity, but also acceptable optimization models with certain risks of manifestation of hazardous pollution factors. The hurra of damage assessment and cost optimization is limited only by the granulation composition of mineral fertilizers and the water-protective effect of the prolonged (delayed) action of larger granules.


2021 ◽  
Author(s):  
Shibing You ◽  
Tingyi Liu ◽  
Miao Zhang ◽  
Xue Zhao ◽  
Bi Wu ◽  
...  

Abstract This study evaluates the total economic loss due to the outbreaks of African Swine Fever (ASF) in China between August 2018 and July 2019. We propose a systematic framework to assess both the direct economic loss on the Chinses breeding industry and indirect economic loss on other sectors. Our evaluation system integrates various statistical analysis methods by applying the cost-loss model and substitution indicator method to calculate direct economic losses and using input-output (IO) model to estimate indirect economic losses. The proposed method provides an innovative and commonly applicable way to deal with the missing data that needs to be adjusted and repaired to be used for economic shock evaluation. We find that total economic loss caused by ASF is 224.768 billion yuan consisting of 99.042 billion yuan direct economic loss of the breeding industry and 125.726 billion yuan indirect economic loss of other industries. Our findings suggest that the overall impact of ASF on China's national economy is relatively small, mainly local and short-term impacts on the swine industry.


2021 ◽  
Vol 8 ◽  
Author(s):  
Siti Hajar Mohd Yazid ◽  
Hassan Mohd Daud ◽  
Mohammad Noor Amal Azmai ◽  
Nurliyana Mohamad ◽  
Norhariani Mohd Nor

This study aims to estimate the economic loss due to vibriosis in the production of Asian seabass in floating net-cages on the east coast of Peninsular Malaysia. Asian seabass has contributed significantly to Malaysia's economic activities and food security. However, its production can be hindered by the occurrence of diseases, such as vibriosis, causing severe economic losses to farmers. A questionnaire-based survey was conducted on 14 small-scale monoculture Asian seabass net-cage farms. Using a stochastic bioeconomic model and inputs from the survey, existing literature, and expert opinion, the economic losses were determined. Moreover, this model considered the prevalence of Vibrio spp. at a farm on the east coast and the risk posed by its infection from hatcheries. The results showed that 71.09% of Asian seabass simulated in the stochastic model survived. The mortality rate due to vibriosis and other causes was at 16.23 and 12.68%, respectively. The risk posed by Vibrio spp. infection from hatcheries contributed to 2.77% of the increase in Asian seabass mortality. The stochastic model estimated that the total cost of producing a tail of Asian seabass was €2.69 per kilogram. The economic loss of vibriosis was estimated at €0.19 per tail per kilogram, which represents 7.06% of the total production cost of Asian seabass per kilogram. An increase in the prevalence of clinical vibriosis and vibriosis case fatality rate at 42 and 100%, respectively, will lead to an increase in the cost of grow-out Asian seabass by €0.29 per tail from the default value. An increase in pellet price per kilogram by €1.38 and feed conversion ratio pellet by 0.96 will consequently increase the cost of grow-out Asian seabass by €2.29 per tail and €0.82 per tail, respectively. We find that the occurrence of Vibrio spp. infection at the hatchery level can contribute to an increased risk in the mortality of Asian seabass during the grow-out phase. Hence, we also need to focus on the control and prevention of vibriosis infection from hatcheries.


2021 ◽  
Vol 53 (3) ◽  
Author(s):  
Lindita Ibishi ◽  
Arben Musliu ◽  
Blerta Mehmedi ◽  
Agim Rexhepi ◽  
Curtic R. Youngs ◽  
...  

The health of dairy cows is an important factor affecting the profitability of dairy farms worldwide, and lameness is regarded as one of the most costly dairy cattle diseases. The aim of this study was to estimate the economic cost of cow lameness among Kosovo dairy farms. Data collected from 56 dairy farms were analysed with a farm-level stochastic (Monte Carlo) simulation model to estimate the cost of lameness. Lameness-associated sources of economic loss examined within the model included: reduced milk production, treatment cost, discarded milk, reduced cow body weight, and premature culling. Results showed that prevalence of lameness among cows on Kosovo dairy farms ranged from 17% to 39%. The average annual cost of lameness was estimated at €338.57 per farm (or €46.25 per cow). Reduced milk production was the largest financial contribution to the cost of lameness (45% of total economic loss) followed by premature culling (31% of total economic loss). Discarded milk, reduced cow body weight, and cost of treatment each contributed approximately 8% to the total economic loss. These findings indicate that dairy farmers need to be more cognizant of the financial losses associated with lameness and should be encouraged to implement management strategies to reduce lameness as a means of enhancing farm profitability.


Author(s):  
Xinjia Hu ◽  
Ming Wang ◽  
Kai Liu ◽  
Daoyi Gong ◽  
Holger Kantz

AbstractEstimation of economic loss is essential for stakeholders to manage flood risk. Most flooding events are closely related to extreme precipitation, which is influenced by large-scale climate factors. Considering the lagged influence of climate factors, we developed a flood-risk assessment framework and used Hunan Province in China as an example to illustrate the risk assessment process. The main patterns of precipitation—as a connection between climate factors and flood economic losses—were extracted by the empirical orthogonal function (EOF) analysis. We identified the correlative climate factors through cross-correlation analysis and established a multiple stepwise linear regression model to forecast future precipitation patterns. Risk assessment was done based on the main precipitation patterns. Because the economic dataset is limited, a Monte Carlo simulation was applied to simulate 1000-year flood loss events under each precipitation regime (rainy, dry, normal years) to obtain aggregate exceedance probability (AEP) and occurrence exceedance probability (OEP) curves. We found that precipitation has a strong influence on economic loss risk, with the highest risk in rainy years. Regional economic development imbalances are the potential reason for the varying economic loss risks in different regions of Hunan Province. As the climate indices with at least several months prediction lead time are strong indicators in predicting precipitation, the framework we developed can estimate economic loss risk several months in advance.


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