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Simulation of p-type HPGe detector full-energy peak efficiency using GEANT4 Monte Carlo toolkit
Accurate quantitative analysis of environmental samples in laboratory settings requires knowledge of the full-energy peak (FEP) efficiency for the...
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Quantifying the sampling error on burn counts in Monte-Carlo wildfire simulations using Poisson and Gamma distributions
This article provides a precise, quantitative description of the sampling error on burn counts in Monte-Carlo wildfire simulations - that is, the...
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Assessing the alerting capabilities of the Earthquake Network early warning system in Haiti with Monte Carlo simulations
Smartphone-based earthquake early warning systems implemented by citizen science initiatives are characterised by significant variability in their...
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Monte Carlo simulation of source-specific risks of soil at an abandoned lead-acid battery recycling site
Anthropogenic activities predominantly affect environmental Pb pollution, especially during waste lead-acid battery (LAB) recycling operations. In...
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Health Risk Assessment of Organophosphate Flame Retardants in Soil Across China Based on Monte Carlo Simulation
Health risks from exposure to contaminants are generally estimated by evaluating concentrations of the contaminants in environmental matrixes....
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Removal of cadmium from phosphate industrial wastewater using pozzolan: characterization, experimental and Monte Carlo/SAA simulations studies
The removal of cadmium for the treatment of contaminated wastewater was investigated using a natural local pozzolan clay excavated from the Laayoune...
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Monte Carlo-based probabilistic risk assessment for cement workers exposed to heavy metals in cement dust
This study assessed the carcinogenic and non-carcinogenic health risks of cement plant workers exposed to chromium (Cr), arsenic (As), cadmium (Cd),...
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Risk assessment of heavy metals in agricultural soil based on the coupling model of Monte Carlo simulation-triangular fuzzy number
Soils in areas wherein agriculture and mining coexist are experiencing serious heavy metal contamination, posing a great threat to the ecological...
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A Monte Carlo simulation-based health risk assessment of heavy metals in soils of the tropical region in southern China
The disturbance of ecological stability may take place in tropical regions due to the elevated biomass density resulting from heavy metal and other...
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Source and risk assessment of heavy metals in mining-affected areas in Jiangxi Province, China, based on Monte Carlo simulation
In recent years, heavy metal contamination of soils has become a major concern in China due to the potential risks involved. To assess environmental...
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Heavy metals pollution of soil in central plains urban agglomeration (CPUA), China: human health risk assessment based on Monte Carlo simulation
The present study conducted the concentration evaluation, pollution assessment, source analysis, and risk assessment of heavy metals in the soil of...
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Stochastic simulation of seawater intrusion in the Longkou area of China based on the Monte Carlo method
Seawater intrusion is a common groundwater pollution problem, which has a great impact on ecological environment and economic development. In this...
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Investigating the correlation between chemical parameters, risk assessment, and sensitivity analysis of fluoride and nitrate in regional groundwater sources using Monte Carlo
Groundwater is one of the most important sources of drinking and irrigation water in arid and semi-arid areas. This study aimed to investigate the...
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Geographical distribution of nitrate pollution and its risk assessment using GIS and Monte Carlo simulation in drinking water in urban areas of Fars province-Iran during 2017–2021
Pollution of water resources with nitrate is currently one of the major challenges at the global level. In order to make macro-policy decisions in...
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Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov chain Monte Carlo algorithm
Water quality restoration in rivers requires identification of the locations and discharges of pollution sources, and a reliable mathematical model...
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Measurement of polycyclic aromatic hydrocarbons in edible oils and potential health risk to consumers using Monte Carlo simulation, southwest Iran
Persistent organic pollutants, such as polycyclic aromatic hydrocarbons, are hazardous trace contaminants frequently observed in food ingredients,...
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Evaluation of water quality of Chahnimeh as natural reservoirs from Sistan region in southwestern Iran: a Monte Carlo simulation and Sobol sensitivity assessment
Maintaining the water quality is essential because of the limitation of drinking water bodies and their significant effects on life. Recently, much...
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Uncertainty analysis in probabilistic design of detention rockfill dams using Monte-Carlo simulation model and probabilistic frequency analysis of stability factors
The detention rockfill dams are of promising importance in flood control projects, due to their minimal technical requirement, low cost, minimal...
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Source identification in river pollution incidents using a cellular automata model and Bayesian Markov chain Monte Carlo method
Identification of contaminant sources in rivers is crucial for river protection and emergency response. This study presents an innovative approach...
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Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction
In recent years, deep learning (DL) approaches have been proven effective in addressing high nonlinear relationships within complex systems. Although...
