Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology

This collection contains the scripts and example data files to accompany the paper \nLuk Peeters, Dan Pagendam, Russell Crosbie, Praveen Kumar Rachakonda, Warrick Dawes, Lei Gao, Steve Marvanek, YongQiang Zhang, Tim McVicar (2018) Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology. Environmental Modelling and Software (accepted for publication).\nThe zip-file contains an IPython Jupyter Notebook that allows to recreate the groundwater model, sensitivity analysis, emulator and bayesian inference described in the paper. It also contains supplementary material, such as the convergence plots of different stages of the workflow.\nLineage: This dataset is derived from:\nBioregional Assessment Programme (2016) GLO AEM Model v02. Bioregional Assessment Derived Dataset. Viewed 4 May 2016, http://data.bioregionalassessments.gov.au/dataset/e76e05a1-3d3c-4014-a163-66a342278ea2.\nBioregional Assessment Programme (2016) GLO AEM dmax v01. Bioregional Assessment Derived Dataset. Viewed 4 May 2016, http://data.bioregionalassessments.gov.au/dataset/c54640db-ca88-4ed2-8e58-6b1a198293c5.

本数据集包含对应论文的脚本与示例数据文件。该论文作者为Luk Peeters、Dan Pagendam、Russell Crosbie、Praveen Kumar Rachakonda、Warrick Dawes、Lei Gao、Steve Marvanek、YongQiang Zhang及Tim McVicar，题为《基于概率筛选方法确定环境影响评价的初始空间范围》（Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology），已被《环境建模与软件》（Environmental Modelling and Software）录用待刊，发表于2018年。
该压缩包内含一份IPython Jupyter交互式笔记本（IPython Jupyter Notebook），可复现论文中所述的地下水模型、敏感性分析、代理模型与贝叶斯推断（Bayesian Inference）流程；此外还包含工作流各阶段的收敛曲线等补充材料。
数据集溯源：本数据集衍生自以下数据集：
1. 生物区域评估计划（Bioregional Assessment Programme，2016）：《GLO AEM Model v02》，生物区域评估衍生数据集，2016年5月4日查阅，来源链接：http://data.bioregionalassessments.gov.au/dataset/e76e05a1-3d3c-4014-a163-66a342278ea2。
2. 生物区域评估计划（Bioregional Assessment Programme，2016）：《GLO AEM dmax v01》，生物区域评估衍生数据集，2016年5月4日查阅，来源链接：http://data.bioregionalassessments.gov.au/dataset/c54640db-ca88-4ed2-8e58-6b1a198293c5。