Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology
| Autor: | Praveen Kumar Rachakonda, Lei Gao, Daniel Pagendam, Neil Viney, Steven Marvanek, Russell Crosbie, Warrick Dawes, Yongqiang Zhang, Tim McVicar, Luk Peeters |
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| Rok vydání: | 2018 |
| Předmět: |
Environmental Engineering
Data collection Scope (project management) Operations research business.industry Ecological Modeling 0208 environmental biotechnology Rejection sampling Probabilistic logic Coal mining 02 engineering and technology 020801 environmental engineering Environment variable Environmental science Environmental impact assessment business Software Uncertainty analysis |
| Zdroj: | Environmental Modelling & Software. 109:353-367 |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2018.08.020 |
| Popis: | A crucial decision in defining the scope of an environmental impact assessment is to delineate the initial assessment area. We developed a probabilistic methodology to determine this area, which starts by identifying a key environmental variable, maximum acceptable change and acceptable probability of exceeding that threshold. The exceedance probability is determined with a limits of acceptability rejection sampling of informed prior parameter distributions. A qualitative uncertainty analysis, a formal and systematic discussion of the main assumptions and model choices, is complemented with global sensitivity analysis of the model results to identify the major sources of uncertainty and provide guidance for further research and data collection. For the case study on coal development in the Gloucester Basin (NSW, Australia), the initial assessment extent is unlikely to extend more than 5 km from the edge of the planned coal mines. The major source of uncertainty is the planned mine water production rate. |
| Databáze: | OpenAIRE |
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