fate modeling Articles
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Incorporating site-specific analytical data and machine learning to predict environmental site conditions
EnviMetric makes intelligent predictions about the extent of groundwater contamination even when there is no available analytical data regarding contaminant concentrations. Factors such as the site location, release type, property use, and geologic setting are very predictive of how large a groundwater plume will be. EnviMetric uses all this available information to make data-based predictions ...
By Azimuth1
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Application of first-order reliability method to modelling the fate and transport of benzene in groundwater
Parameter uncertainty plays a significant role in decision making regarding groundwater contamination and remediation, especially for non-conservative chemicals. This paper presents a probabilistic screening model to accommodate parameter uncertainty in the aquifer media, and physical–chemical parameters, using the first-order reliability method (FORM). The application of the developed model is ...
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Sensitivity analysis on parameters and processes affecting vapor intrusion risk
A one‐dimensional numerical model was developed and used to identify the key processes controlling vapor intrusion risks by means of a sensitivity analysis. The model simulates the fate of a dissolved volatile organic compound present below the ventilated crawl space of a house. In contrast to the vast majority of previous studies, this model accounts for vertical variation of soil water ...
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Degradation and transformation of 17α‐estradiol in water‐sediment systems under controlled aerobic and anaerobic conditions
17α‐Estradiol is one of the principal metabolites in cattle excreta following the administration of Synovex® ONE, which contains estradiol benzoate (EB) and trenbolone acetate (TBA). As part of the environmental assessment of the use of Synovex® ONE, data were generated to characterize the fate of 17α‐estradiol in the environment. Studies were conducted to determine the degradation and ...
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Geochemical modelling of the evolution and fate of metal pollutants arising from an abandoned gold mine tailings facility in Johannesburg
Analytical techniques were combined with geochemical modelling to study the release mechanisms of pollutants from an abandoned gold mining tailings storage facility near Johannesburg. Inverse modelling of sampled tailings pond water and experimental single extractions using various solutions indicated which combination of naturally occurring leaching solutions were likely to give rise to the ...
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