A preliminary approach to quantifying the overall environmental risks posed by development projects during environmental impact assessment.

ABSTRACT: Environmental impact assessment (EIA) is used globally to manage the impacts of development projects on the environment, so there is an imperative to demonstrate that it can effectively identify risky projects. However, despite the widespread use of quantitative predictive risk models in areas such as toxicology, ecosystem modelling and water quality, the use of predictive risk tools to assess the overall expected environmental impacts of major construction and development proposals is comparatively rare. A risk-based approach has many potential advantages, including improved prediction and attribution of cause and effect; sensitivity analysis; continual learning; and optimal resource allocation. In this paper we investigate the feasibility of using a Bayesian belief network (BBN) to quant

SUBMITTER: Nicol S 

PROVIDER: S-EPMC5501652 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature