HUN Groundwater footprint polygons v01

## **Abstract** \n\nThis dataset was created by the Bioregional Assessment Programme without the use of source data. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.\n\n\n\nThis dataset contains all of the groundwater footprint polygons that were used in the groundwater modelling. There is also a document with the source references for all of the footprints extracted from EISs and similar documents.\n\n## **Purpose** \n\nTo define the extent of mines (footprint) within the Hunter subregion in the groundwater model.\n\n## **Dataset History** \n\nEnvironmental impact statements and similar documents were downloaded from New South Wales Department of Planning and Environment Major Projects website, and from mining companies' websites. Mining extents shown in maps and figures were extracted and digitised from these documents and converted to polygon files (\\*.poly) using Geosoft Oasis Montaj software.\n\n\n\nA list of documents used for creating these polygon files are also included in the dataset.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) HUN Groundwater footprint polygons v01. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/c7672a9d-422e-425e-82ef-11afc5fb7ba6.

## **摘要**

本数据集由生物区域评估计划（Bioregional Assessment Programme）未依托源数据编制而成。数据集初始未附带元数据，后由生物区域评估计划根据采集阶段获取的已知细节补编完成。

本数据集涵盖了地下水数值模拟中所用的全部地下水足迹多边形。此外，数据集还配套提供一份文档，其中收录了从环境影响报告书（Environmental Impact Statements，EISs）及同类文件中提取的所有地下水足迹的来源参考文献。

## **数据集用途**

本数据集旨在明确亨特次区域地下水模型中矿山的地下水足迹分布范围。

## **数据集历史**

研究人员从新南威尔士州规划与环境部（New South Wales Department of Planning and Environment）重大项目官网及各矿业企业官网下载了环境影响报告书及相关类似文件；随后从这些文件的地图与图表中提取矿山开采范围并进行数字化处理，再通过Geosoft Oasis Montaj软件将其转换为多边形文件（*.poly）。

本数据集同时附带了编制上述多边形文件所依据的文件清单。

## **数据集引用信息**

生物区域评估计划（2016）《亨特地下水足迹多边形v01》，生物区域评估源数据集，查阅日期：2019年3月13日，访问链接：http://data.bioregionalassessments.gov.au/dataset/c7672a9d-422e-425e-82ef-11afc5fb7ba6。