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The average weighted pollutant index was 0.54, indicating good soil environmental quality.
An environmental quality assessment model was developed and integrated in the system by single factor index and weighted pollutant index method.
The indices used by Hong et al. were selected a priori and gave each pollutant included in the air pollutant index equal weight.
Sensitivity testing of the model suggests that due to the co linearity, point estimate of each pollutant index in the multiple air pollutants model generally went down in terms of risk effects and showed no statistical significance and instability.
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The filtration effect of PAP is specified by measuring 16 pollutant indices in influent and effluent samples.
The individual and joint effects of different pollutants are explored, via the use of single pollutant models and multiple pollutant indices.
If multiple air pollutant indexes were directly fitted into the model, co linearity could inevitably confound the model due to the non-independence between different air pollutant indexes, thus leading to the instability of the model.
In order to solve the problem, principal component analysis was adopted to adjust the co linearity of different air pollutant indexes in the multiple air pollutants model.
These pollutant indices also contain H+ in descending mass ratios, and may all be surrogates for H+ as an active agent.
We could see from Table 9 that the strongest cumulative effects of different air pollutant combinations in the GAM model, only after adjustment of co linearity of the air pollutant indexes by principal component analysis indicate a transformation from non-statistical to statistical significance for both double model and triple model.
One day, on the Malaysian island of Penang, the local air-pollutants index reached 371, well into its "hazardous" range.
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