A stochastic algorithm for risk assessment of in-stream contaminant

Pollution from natural and human sources contaminates open water bodies. Most contaminants are toxic, some are persistent, while others are not. The toxicant poses a risk to the ecosystem, and is a threat to the aquatic species. Many toxicity studies often made inference to human health and set up regulatory guideline for protection. Regulations have been attempted to control pollution at sources through virtual eliminations. Unfortunately, these attempts are not fully implemented. This paper sets up a risk method to evaluate statistical characteristics of water quality variables.