Damage Cost

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Yongjin Lee - One of the best experts on this subject based on the ideXlab platform.

  • Economic Damage Cost of premature death due to fine particulate matter in Seoul, Korea
    Environmental Science and Pollution Research, 2021
    Co-Authors: Yongjin Lee, Youngwook Lim, Jiyeon Yang, Changsoo Kim
    Abstract:

    Analyzing the economic value of the Damage to human health caused by environmental risks has become an essential research focus, given the increasing necessity for effective decision-making. Since logical and rational analyses such as Cost–benefit and Cost–utility analyses will likely gain importance in future policymaking, the evaluation of economic Costs becomes necessary. Among the various types of air pollutants, fine particulate matter (PM) is reported as closely related to mortality. To reduce result uncertainty by improving the methodology of risk assessment or the economic evaluation of fine PM, risk control measures are required for high-priority areas. This study addresses this issue by estimating the relative risk of PM_2.5 while calculating the economic loss Cost arising from acute death due to fine PM exposure in Seoul, Korea. The value of statistical life of one person’s willingness to pay for mortality risk reduction is calculated to estimate the economic loss Cost at each current level of exposure. The estimated economic loss Cost due to all-cause mortality during 2016–2018 totaled approximately USD 1307.9 million per year; the Costs of loss from respiratory and cardiovascular mortalities were USD 128.1 million per year and USD 426.9 million, respectively. Based on these results, this study concludes that the standards for PM_2.5 are more effective than the ones established for PM_10 in terms of economic value.

  • evaluating the pm Damage Cost due to urban air pollution and vehicle emissions in seoul korea
    Journal of Environmental Management, 2011
    Co-Authors: Yongjin Lee, Youngwook Lim, Jiyeon Yang, Changsoo Kim, Young Chul Shin, Dongchun Shin
    Abstract:

    This study evaluated the prospective Damage Costs of PM2.5 inhalation. We performed a health risk assessment based on an exposure–response function to estimate the annual population risk in the Seoul metropolitan city, Korea. Also, we estimated a willingness-to-pay (WTP) amount for reducing the mortality rate in order to evaluate a statistical life value. We combined the annual population risk and the value-of-statistical-life to calculate the Damage Cost estimate. In the health risk assessment, we applied the PM2.5 relative risk to evaluate the annual population risk. We targeted an exposure population of 5,401,369 persons who were over the age of 30. Using a Monte-Carlo simulation for uncertainty analysis, we estimated that the population risk of PM2.5 inhalation during a year in Seoul is 2181 premature deaths for acute exposure and 18,510 premature deaths for chronic exposure. The monthly average WTP for 5/1000 mortality reduction over ten years is $20.20 USD (95% C.I: $16.60–24.50) and the implied value-of-statistical-life (VSL) is $485,000 USD (95% C.I: $398,000–588,000). The Damage Cost estimate due to risk from PM2.5 inhalation in Seoul is about $1057 million USD per year for acute exposure, and $8972 million USD per year for chronic exposure. It is important to note that this Cost estimate does not reflect all health Damage Cost estimates in this urban area. This recommendation is a model for evaluating a mortality risk reduction and as such we must re-evaluate an integrated application of morbidity risk.

Shuzhen Chen - One of the best experts on this subject based on the ideXlab platform.

  • a revealed Damage Cost method to evaluate environmental performance of production evaluating treatment efficiency of emissions and scaling treatment Cost bounds
    Journal of Cleaner Production, 2018
    Co-Authors: Shuzhen Chen
    Abstract:

    Abstract Environmental performance indices are in great demand for environmental policy support. This paper addresses the particular problem of evaluating environmental performance of industries and identifying the worst performed industries that should be strictly regulated. Specifically, an input-output analysis method is developed to disentangle the environmental pressures of production processes; treatment Costs are introduced to reveal the Damage Costs of relevant pressures which is integrated in the DEA based index to restrict the weight assignment. The proposed method is advantageous in data requirements as well as definition of process boundaries and can alleviate the underestimation of Damages from predominant pressures. The results of evaluation provide a more reliable reference to industrial regulation.

  • adapting ecological risk valuation for natural resource Damage assessment in water pollution
    Environmental Research, 2018
    Co-Authors: Shuzhen Chen, Desheng Wu
    Abstract:

    Ecological risk assessment can address requirements of natural resource Damage assessment by quantifying the magnitude of possible Damages to the ecosystem. This paper investigates an approach to assess water Damages from pollution incident on the basis of concentrations of contaminants. The baseline of water pollution is determined with not-to-exceed concentration of contaminants required by water quality standards. The values of Damage Cost to water quality are estimated through sewage treatment Cost. To get a reliable estimate of treatment Cost, DEA is employed to classify samples of sewage plants based on their efficiency of sewage treatment. And exponential fitting is adopted to determine the relation between treatment Cost and the decrease of COCs. The range of Damage Costs is determined through the fitting curves respectively based on efficient and inefficient samples.

Changsoo Kim - One of the best experts on this subject based on the ideXlab platform.

  • Economic Damage Cost of premature death due to fine particulate matter in Seoul, Korea
    Environmental Science and Pollution Research, 2021
    Co-Authors: Yongjin Lee, Youngwook Lim, Jiyeon Yang, Changsoo Kim
    Abstract:

    Analyzing the economic value of the Damage to human health caused by environmental risks has become an essential research focus, given the increasing necessity for effective decision-making. Since logical and rational analyses such as Cost–benefit and Cost–utility analyses will likely gain importance in future policymaking, the evaluation of economic Costs becomes necessary. Among the various types of air pollutants, fine particulate matter (PM) is reported as closely related to mortality. To reduce result uncertainty by improving the methodology of risk assessment or the economic evaluation of fine PM, risk control measures are required for high-priority areas. This study addresses this issue by estimating the relative risk of PM_2.5 while calculating the economic loss Cost arising from acute death due to fine PM exposure in Seoul, Korea. The value of statistical life of one person’s willingness to pay for mortality risk reduction is calculated to estimate the economic loss Cost at each current level of exposure. The estimated economic loss Cost due to all-cause mortality during 2016–2018 totaled approximately USD 1307.9 million per year; the Costs of loss from respiratory and cardiovascular mortalities were USD 128.1 million per year and USD 426.9 million, respectively. Based on these results, this study concludes that the standards for PM_2.5 are more effective than the ones established for PM_10 in terms of economic value.

  • evaluating the pm Damage Cost due to urban air pollution and vehicle emissions in seoul korea
    Journal of Environmental Management, 2011
    Co-Authors: Yongjin Lee, Youngwook Lim, Jiyeon Yang, Changsoo Kim, Young Chul Shin, Dongchun Shin
    Abstract:

    This study evaluated the prospective Damage Costs of PM2.5 inhalation. We performed a health risk assessment based on an exposure–response function to estimate the annual population risk in the Seoul metropolitan city, Korea. Also, we estimated a willingness-to-pay (WTP) amount for reducing the mortality rate in order to evaluate a statistical life value. We combined the annual population risk and the value-of-statistical-life to calculate the Damage Cost estimate. In the health risk assessment, we applied the PM2.5 relative risk to evaluate the annual population risk. We targeted an exposure population of 5,401,369 persons who were over the age of 30. Using a Monte-Carlo simulation for uncertainty analysis, we estimated that the population risk of PM2.5 inhalation during a year in Seoul is 2181 premature deaths for acute exposure and 18,510 premature deaths for chronic exposure. The monthly average WTP for 5/1000 mortality reduction over ten years is $20.20 USD (95% C.I: $16.60–24.50) and the implied value-of-statistical-life (VSL) is $485,000 USD (95% C.I: $398,000–588,000). The Damage Cost estimate due to risk from PM2.5 inhalation in Seoul is about $1057 million USD per year for acute exposure, and $8972 million USD per year for chronic exposure. It is important to note that this Cost estimate does not reflect all health Damage Cost estimates in this urban area. This recommendation is a model for evaluating a mortality risk reduction and as such we must re-evaluate an integrated application of morbidity risk.

Desheng Wu - One of the best experts on this subject based on the ideXlab platform.

  • adapting ecological risk valuation for natural resource Damage assessment in water pollution
    Environmental Research, 2018
    Co-Authors: Shuzhen Chen, Desheng Wu
    Abstract:

    Ecological risk assessment can address requirements of natural resource Damage assessment by quantifying the magnitude of possible Damages to the ecosystem. This paper investigates an approach to assess water Damages from pollution incident on the basis of concentrations of contaminants. The baseline of water pollution is determined with not-to-exceed concentration of contaminants required by water quality standards. The values of Damage Cost to water quality are estimated through sewage treatment Cost. To get a reliable estimate of treatment Cost, DEA is employed to classify samples of sewage plants based on their efficiency of sewage treatment. And exponential fitting is adopted to determine the relation between treatment Cost and the decrease of COCs. The range of Damage Costs is determined through the fitting curves respectively based on efficient and inefficient samples.

J A M Van Der Weide - One of the best experts on this subject based on the ideXlab platform.

  • probability distribution of the seismic Damage Cost over the life cycle of structures
    Structural Safety, 2018
    Co-Authors: Mahesh D Pandey, J A M Van Der Weide
    Abstract:

    Abstract In the life-cycle analysis, the total Cost of Damage caused by earthquakes is a significant but highly uncertain component. In the current literature, the seismic risk analysis is largely limited to the evaluation of the average Cost of Damage, which is not informative about the full extent of variability in the Cost. The paper presents a systematic development of the stochastic modeling of seismic risk analysis problem and reformulates the Damage Cost analysis as a superposition of compound Poisson processes. An explicit analytical solution for the distribution of Damage Cost is derived in form of a recursive equation. The proposed approach extends the capability of the existing framework of seismic risk analysis, which can be used to optimize initial design and retrofitting of structures.

  • stochastic renewal process models for estimation of Damage Cost over the life cycle of a structure
    Structural Safety, 2017
    Co-Authors: Mahesh D Pandey, J A M Van Der Weide
    Abstract:

    In the life-cycle Cost analysis of a structure, the total Cost of Damage caused by external hazards like earthquakes, wind storms and flood is an important but highly uncertain component. In the literature, the expected Damage Cost is typically analyzed under the assumption of either the homogeneous Poisson process or the renewal process in an infinite time horizon (i.e., asymptotic solution). The paper reformulates the Damage Cost estimation problem as a compound renewal process and derives general solutions for the mean and variance of total Cost, with and without discounting, over the life cycle of the structure. The paper highlights a fundamental property of the renewal process, referred to as renewal decomposition, which is a key to solving a wide range of life cycle analysis problems. The proposed formulation generalizes the results given in the literature, and it can be used to optimize the design and life cycle performance of structures.