Galilee groundwater numerical modelling AEM models

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement.\n\nThe processes undertaken to produce this derived dataset are described in the History field in this metadata statement. \n\n\n\nThis dataset contains the Galilee analytic element groundwater model. It has the various input files, the model script and executable and representative examples of the various output files. It also contains the script to generate an example drawdown time series.\n\nThe model is documented in product 2.6.2 for the Galilee subregion (Peeters et al. 2016).\n\n\n\nPeeters L, Turnadge C, Ransley T, Kilgour P, Kellet J and Evans T (2016) Groundwater numerical modelling for the Galilee subregion. Product 2.6.2 for the Galilee subregion from the Lake Eyre Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia, http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.6.2.\n\n## **Dataset History** \n\nThe dataset contains all necessary files to generate the groundwater model results presented in product 2.6.2 for the Galilee subregion (Peeters et al. 2016). File GAL_AEM_Flowchart.pptx has a flowchart on how the various files interact and are linked.\n\n\n\nSubdirectory 'inputs' contains the csv-input files. \n\n'inputs/GAL_Alluvium_Line.csv' is a linear feature that represents the connection between the upper Permian coal measures and the Cenozoic/alluvial cover. It's position is based on the extent of the Cenozoic cover sediments (from dataset Surface Geology of Australia, 1:2 500 000 scale, 2012 edition).\n\n'inputs/GAL_BCB.csv' is a linear feature representing the eastern extent of the upper Permian coal measures, based on the extent of the Betts Creek Beds formation (from dataset Surface Geology of Australia, 1:2 500 000 scale, 2012 edition).\n\n'inputs/GAL_mine_footprints.csv' are polygons representing a coarse discretisation of the proposed open pit coal mines (from dataset GAL 262 mine footprints).\n\n'inputs/GAL_mine_Q_MLd.csv' are the mine pumping rates as reported in Prendegast and Davidson (2014)\n\n'inputs/GAL_outputnodes.csv' are the locations at which drawdowns are simulated. These locations are selected during the model development and have their greatest density close to the mine footprints.\n\n'inputs/GAL_receptors.csv' are the locations of the receptors included in the groundwater model (from dataset GAL_model_HRV_Receptors_gdb)\n\n'inputs/GAL_river.csv' is a coarse discretisation of the Belyando River channel (based on dataset Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale).\n\n\n\nThe parameter combinations evaluated in the groundwater model are specified in dataset GAL_Models_HRV in file GAL_AEM_dmax_Posterior_Parameters.csv.\n\n\n\nThe input files and parameter combinations are integrated in python script 'GAL_AEM.py' which calls python package ttim to solve the groundwater model. ttim is available from https://pypi.python.org/pypi/ttim/0.3.1.\n\nTo run all parameter combinations on the high performance computing centre cluster computers, the batch file GAL_AEM.slurm can be used which runs each of the parameter combinations in GAL_AEM_dmax_Posterior_Parameters.csv.\n\n\n\nThe outputs of each iteration are stored in subdirectory 'outputs'. The output files end in the runid of each parameter combination.\n\n\n\n'GAL_AEM_Qb_0000.csv' contains the change in surface water groundwater exchange flux for each reach in the Belyando River. The reaches correspond to the reaches defined in the surface water model\n\n'GAL_AEM_receptors_0000.csv' contains the maximum drawdown and time to maximum drawdown for each receptor.\n\n'GAL_AEM_dmax_nodes_0000.csv' contains the maximum drawdown for all the computational output nodes\n\n'GAL_AEM_tmax_nodes_0000.csv' contains the time to maximum drawdown for all the computational output nodes\n\n\n\nPython script GAL_AEM_ddn_ts.py uses the same input files and python package to generate a drawdown timeseries for parameter combination 1980. This result is stored in 'GAL_AEM_ddn_ts_1980.csv'\n\n\n\nReferences\n\nPrendegast JB and Davidson KJ (2014) Galilee Basin groundwater - preliminary assessment of recharge, long term extraction limit and cumulative mining impacts. Draft policy document. Queensland Departement of Natural Resources and Mines.\n\n\n\nPeeters L, Turnadge C, Ransley T, Kilgour P, Kellet J and Evans T (2016) Groundwater numerical modelling for the Galilee subregion. Product 2.6.2 for the Galilee subregion from the Lake Eyre Basin Bioregional Assessment. Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia, http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.6.2.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) Galilee groundwater numerical modelling AEM models. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/2698f3c2-b8d4-4b4e-899c-d50e0e1aac1f.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Galilee Hydrological Response Variable (HRV) model](https://data.gov.au/data/dataset/facb2291-249c-4903-93ce-d9c3f83e7640)\n\n* **Derived From** [Surface Geology of Australia, 1:2 500 000 scale, 2012 edition](https://data.gov.au/data/dataset/4a91fff8-ed51-4994-b358-066497e25c8c)\n\n* **Derived From** [Geoscience Australia GEODATA TOPO series - 1:1 Million to 1:10 Million scale](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)\n\n* **Derived From** [Galilee model HRV receptors gdb](https://data.gov.au/data/dataset/ee766aad-3849-4a5a-92b7-ff4098bd874e)\n\n

## **摘要**

本数据集由生物区域评估计划（Bioregional Assessment Programme）基于多源数据集衍生而来。本元数据声明的“谱系（Lineage）”字段中已标注源数据集信息。

本衍生数据集的生成流程已在本元数据声明的“历史（History）”字段中详述。

本数据集包含加利利解析元地下水模型，内含各类输入文件、模型脚本、可执行文件及各类输出文件的典型示例，同时附带用于生成示例降深时间序列的脚本。

该模型的相关文档已收录于加利利次区域2.6.2号成果（Peeters等，2016）。

Peeters L、Turnadge C、Ransley T、Kilgour P、Kellet J及Evans T（2016）：《加利利次区域地下水数值模拟》，源自艾尔湖盆地生物区域评估的加利利次区域2.6.2号成果，澳大利亚环境部、澳大利亚气象局、联邦科学与工业研究组织（CSIRO）及澳大利亚地质科学局（Geoscience Australia），澳大利亚，http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.6.2.

## **数据集历史**

本数据集包含生成加利利次区域2.6.2号成果（Peeters等，2016）中地下水模型结果所需的全部文件。文件`GAL_AEM_Flowchart.pptx`内附有展示各类文件交互与关联关系的流程图。

子目录`inputs`内含各类CSV输入文件。

`inputs/GAL_Alluvium_Line.csv`为线性要素，代表上二叠统煤系与新生代/冲积层之间的连通性，其位置基于新生代覆盖沉积物的分布范围（源自《澳大利亚地表地质（1:250万比例尺，2012版）》数据集）。

`inputs/GAL_BCB.csv`为线性要素，代表上二叠统煤系的东部边界，基于贝茨溪层（Betts Creek Beds）地层的分布范围（源自《澳大利亚地表地质（1:250万比例尺，2012版）》数据集）。

`inputs/GAL_mine_footprints.csv`为多边形要素，对拟建露天煤矿矿区进行了粗略离散化处理（源自GAL 262矿区足迹数据集）。

`inputs/GAL_mine_Q_MLd.csv`内含Prendegast与Davidson（2014）报道的矿山抽水速率数据。

`inputs/GAL_outputnodes.csv`标注了模拟降深的计算节点位置，这些节点在模型开发阶段选定，在矿区足迹附近的节点密度最高。

`inputs/GAL_receptors.csv`标注了地下水模型中纳入的接收点位置（源自GAL_model_HRV_Receptors_gdb数据集）。

`inputs/GAL_river.csv`对贝尔扬多河河道进行了粗略离散化处理（基于澳大利亚地质科学局（Geoscience Australia）GEODATA TOPO系列数据集——1:100万至1:1000万比例尺）。

地下水模型中评估的参数组合已在`GAL_AEM_dmax_Posterior_Parameters.csv`文件的GAL_Models_HRV数据集中明确。

输入文件与参数组合已整合至Python脚本`GAL_AEM.py`，该脚本调用Python包ttim求解地下水模型。ttim可从https://pypi.python.org/pypi/ttim/0.3.1获取。

若需在高性能计算中心集群上运行所有参数组合，可使用批处理文件`GAL_AEM.slurm`，该文件会依次运行`GAL_AEM_dmax_Posterior_Parameters.csv`中的所有参数组合。

每次迭代的输出结果均存储于子目录`outputs`中，输出文件名以对应参数组合的运行ID作为后缀。

`GAL_AEM_Qb_0000.csv`内含贝尔扬多河各河段的地表水-地下水交换通量变化数据，河段划分与地表水模型中的定义一致。

`GAL_AEM_receptors_0000.csv`内含各接收点的最大降深及最大降深出现时间。

`GAL_AEM_dmax_nodes_0000.csv`内含所有计算输出节点的最大降深数据。

`GAL_AEM_tmax_nodes_0000.csv`内含所有计算输出节点的最大降深出现时间。

Python脚本`GAL_AEM_ddn_ts.py`使用相同的输入文件与Python包，为参数组合1980生成降深时间序列，结果存储于`GAL_AEM_ddn_ts_1980.csv`。

## 参考文献

Prendegast JB与Davidson KJ（2014）：《加利利盆地地下水——补给、长期开采极限与累积采矿影响初步评估》，政策草案文件，昆士兰州自然资源与矿产部。

Peeters L、Turnadge C、Ransley T、Kilgour P、Kellet J及Evans T（2016）：《加利利次区域地下水数值模拟》，源自艾尔湖盆地生物区域评估的加利利次区域2.6.2号成果，澳大利亚环境部、澳大利亚气象局、联邦科学与工业研究组织（CSIRO）及澳大利亚地质科学局（Geoscience Australia），澳大利亚，http://data.bioregionalassessments.gov.au/product/LEB/GAL/2.6.2.

## **数据集引用**

生物区域评估计划（Bioregional Assessment Programme）（2016）：《加利利地下水数值模拟解析元模型》，生物区域评估衍生数据集，2018年12月12日查阅，http://data.bioregionalassessments.gov.au/dataset/2698f3c2-b8d4-4b4e-899c-d50e0e1aac1f.

## **数据集溯源**

* **源自** [加利利水文响应变量（HRV）模型](https://data.gov.au/data/dataset/facb2291-249c-4903-93ce-d9c3f83e7640)

* **源自** [《澳大利亚地表地质（1:250万比例尺，2012版）》](https://data.gov.au/data/dataset/4a91fff8-ed51-4994-b358-066497e25c8c)

* **源自** [澳大利亚地质科学局（Geoscience Australia）GEODATA TOPO系列数据集——1:100万至1:1000万比例尺](https://data.gov.au/data/dataset/310c5d07-5a56-4cf7-a5c8-63bdb001cd1a)

* **源自** [加利利模型HRV接收点gdb数据集](https://data.gov.au/data/dataset/ee766aad-3849-4a5a-92b7-ff4098bd874e)