To quantitative establish the intake of these pollutants (risks) versus that of EPA + DHA (benefits), we designed a simple computer program, RIBEPEIX.
Parameter values for other variables in the model (time and meteorology variables) were estimated from the observed data using models as specified above, except that models for generation of parameter estimates for Scenario Set 2 (which had a priori specification of pollutant risk ratios) did not include the pollution variable.
The ability to predict the level of pollutants and identify their source is crucial for the design of pollutant risk reduction plans.
The results generated show that the system is able to consider the trade-offs between environmental requirement and economic objective, decrease the possibility of pollutant risk, and help the power plant reduce environmental-related capital and operation costs.
Chemical pollutant exposomics thus provides an approach to systematically assess pollutant risk for defined health outcomes in a given population.
This study suggests that sample pooling is a useful strategy for exposomics research, which provides a hypothesis-free method for pollutant risk screening.
For example, environmental health decisions are driven predominantly by single-pollutant risk assessments, generally supported by scientific research in inbred rodent models exposed to single chemicals [ National Research Council NRCC) 1983; U.S. Environmental Protection Agency EPAA) 2002].
However, in molecular exposomics, a broad-spectrum strategy for hypothesis-free pollutant risk screening, sample pooling is a valuable tool for reducing costs, workload and the need for large individual sample volumes.
The single pollutant risks were dampened slightly compared with the multi-pollutant model.
On average across communities, 358 days with exposure data for all four constituents were included in multipollutant mortality risk models, and some communities had fewer days to estimate multipollutant risks compared to single-pollutant risks, which were estimated from an average of 389 days.
It could also focus on the pollutants that risk assessors believe are driving the majority of the risks from a national perspective.
