The construction dust-induced occupational health risk using Monte-Carlo simulation

Tong, Ruipeng; Cheng, Mengzhao; Zhang, Lei; Liu, Meng; Yang, Xiaomeng; Li, Xiaodong; Yin, Wentao

doi:10.1016/j.jclepro.2018.02.286

Cited by 109 publications

(51 citation statements)

References 28 publications

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“…This method is advantageous due to its simplicity and easy understanding [46]; however, variability is not accounted for in input variables [24]. Furthermore, this method is based on a reasonable exposure situation and is relatively conservative [47]. The use point values of input parameters, as well as assumptions, could lead to an unrealistic risk estimation.…”

Section: Deterministic Approachmentioning

confidence: 99%

Human Health Risk Assessment for Exposure to Potentially Toxic Elements in Polluted Rivers in the Ecuadorian Amazon

Jiménez-Oyola

Escobar-Segovia

García-Martínez

et al. 2021

Water

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Anthropogenic activities performed in the Ecuadorian Amazon have released potentially toxic elements (PTEs) into the rivers, causing severe environmental pollution and increasing the risk of exposure to the residents of the surrounding areas. This study aims to carry out a human health risk assessment using deterministic and probabilistic methods to estimate the hazard index (HI) and total cancer risk (TCR) related to multi-pathway human exposure to PTEs in polluted rivers. Concentrations of Al, Cd, Cr, Cu, Hg, Ni, Pb, and Zn in surface water and sediment samples from rivers on the Ecuadorian Amazon were considered to assess the potential adverse human health effects. As a result, deterministic and probabilistic estimations of cancer and non-cancer risk through exposure to surface waters and sediments were above the safety limit. A sensitivity analysis identified the concentration of PTEs and the exposure duration (ED) as the two most important variables for probabilistic health risk assessment. The highest risk for receptors was related to exposure to polluted sediments through incidental ingestion and dermal contact routes. According to the deterministic estimation, the human health risk through ingestion of water was above the threshold in specific locations. This study reveals the potential health risk to which the population is exposed. This information can be used as a baseline to develop public strategies to reduce anthropogenic pollution and exposure to PTEs in Ecuadorian Amazon rivers.

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Section: Deterministic Approachmentioning

confidence: 99%

Human Health Risk Assessment for Exposure to Potentially Toxic Elements in Polluted Rivers in the Ecuadorian Amazon

Jiménez-Oyola

Escobar-Segovia

García-Martínez

et al. 2021

Water

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“…Monte Carlo simulation has been widely used in risk assessment applications with uncertainty in many fields [11][12][13][14][15] . It can perform simulation based on limited data and different scenarios to understand the possible risks since computers can easily simulate a huge number of experimental trials that have random outcomes and uncertainty 16 .…”

Section: Second Stage: Localized Outbreaksmentioning

confidence: 99%

The spatiotemporal estimation of the risk and the international transmission of COVID-19: a global perspective

Lin

et al. 2020

Sci Rep

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An ongoing novel coronavirus outbreak (COVID-19) started in Wuhan, China, in December 2019. Currently, the spatiotemporal epidemic transmission, prediction, and risk are insufficient for COVID-19 but we urgently need relevant information globally. We have developed a novel two-stage simulation model to simulate the spatiotemporal changes in the number of cases and estimate the future worldwide risk. Simulation results show that if there is no specific medicine for it, it will form a global pandemic. Taiwan, South Korea, Hong Kong, Japan, Thailand, and the United States are the most vulnerable. The relationship between each country's vulnerability and days before the first imported case occurred shows an exponential decrease. We successfully predicted the outbreak of South Korea, Japan, and Italy in the early stages of the global pandemic based on the information before February 12, 2020. The development of the epidemic is now earlier than we expected. However, the trend of spread is similar to our estimation.

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“…In our research, we used triangle distributions for risk analysis according to the expert's view. The most utilizable likelihood distributions described in the project management literature for modeling uncertainty are Beta and Triangle (Tong et al, 2018). Triangle distributions can be represented by three approximations of optimistic, pessimistic, and most likely values.…”

Section: Case Studymentioning

confidence: 99%

Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management

Haqiqat¹,

Mehrjerdi²,

Bidaki³

2019

10.5267/j.jpm

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Risk management in construction industry in several cases is not only incomplete regarding the unification of Occupational Health and Safety (OHS) hazards, but it is also incomplete in not having a systematic and innovative method to assess the impacts of these risks on the objectives of a project. An integrated hybrid Fuzzy Inference System-Latin Hypercube Simulation for the evaluation of OHS risks in construction projects is presented in this paper. Prioritization of safety risks systematically without human interference with fuzzy inference system gives the appropriate response to the identified risks. An advanced Monte Carlo simulation is also used for the evaluation of quantitative objectives of a project. This approach allows us to get away from discrimination and simulate the risks with high impacts but with low probabilities. In order to measure the relationship between the occurrences of each of the risks impacts on project objectives, the sensitivity analysis based on Pearson correlation coefficient is used to determine the usefulness of the proposed integrated hybrid method.

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The construction dust-induced occupational health risk using Monte-Carlo simulation

Cited by 109 publications

References 28 publications

Human Health Risk Assessment for Exposure to Potentially Toxic Elements in Polluted Rivers in the Ecuadorian Amazon

Human Health Risk Assessment for Exposure to Potentially Toxic Elements in Polluted Rivers in the Ecuadorian Amazon

The spatiotemporal estimation of the risk and the international transmission of COVID-19: a global perspective

Fuzzy inference system-Latin hypercube simulation: An integrated hybrid model for OHS risks management

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