Data

CLM MODFLOW Uncertainty Analysis

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/e37f4204-3711-4a58-ae71-40de72dbde5a&rft.title=CLM MODFLOW Uncertainty Analysis&rft.identifier=25e01e3c-7b87-4200-9ef2-5c5405627130&rft.publisher=data.gov.au&rft.description=## **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. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThis dataset contains all the scripts used to conduct the uncertainty analysis for the maximum drawdown and time to maximum drawdown at the groundwater receptors in the Clarence-Moreton bioregion and all the resulting posterior predictions. This is described in product 2.6.2 Groundwater numerical modelling (Cui et al. 2016). See History for a detailed explanation of the dataset contents.\n\n## **Dataset History** \n\nThis dataset uses the results of the design of experiment runs of the MODFLOW groundwater model of the Clarence-Moreton subregion to train emulators to (a) constrain the prior parameter ensembles into the posterior parameter ensembles and to (b) generate the predictive posterior ensembles of maximum drawdown and time to maximum drawdown. This is described in product 2.6.2 Groundwater numerical modelling (Cui et al. 2016).\n\n\n\nA flow chart of the way the various files and scripts interact is provided in CLM_MF_dmax_v02_Flowchart.png (editable version in CLM_MF_dmax_v02_Flowchart.gliffy).\n\n\n\nR-script CLM_DoE_Parameters.R creates the set of parameters for the design of experiment in CLM_DoE_Parameters.csv. Each of these parameter combinations is evaluated with the groundwater model (dataset CLM groundwater model V1). Associated with this spreadsheet is file CLM_MF_Parameters.csv. This file contains, for each parameter, if it is included in the sensitivity analysis, tied to another parameters, the initial value and range, the transformation, the type of prior distribution with its mean and covariance structure.\n\n\n\nThe results of the design of experiment model runs are summarised in files CLM_MF_dmax_DoE_Predictions.csv, CLM_MF_tmax_DoE_Predictions.csv, CLM_MF_DoE_Observations.csv, which have the maximum additional drawdown, the time to maximum additional drawdown for each receptor and the simulated equivalents to observations respectively. The first two are generated with post-processing scripts in dataset groundwater model V1, while for the last file, additional script CLM_MF_postprocess_riverflux.py is used to summarise the simulated equivalents to the surface water groundwater exchange flux.\n\n\n\nSpreadsheets CLM_MF_dmax_Predictions.csv and CLM_MF_tmax_Predictions.csv capture additional information on each prediction; the name of the prediction, transformation, min, max and median of design of experiment, a boolean to indicate the prediction is to be included in the uncertainty analysis, the layer it is assigned to and which objective function to use to constrain the prediction.\n\nSpreadsheet CLM_MF_dmax_Observations.csv has additional information on each observation; the name of the observation, a boolean to indicate to use the observation, the min and max of the design of experiment, a metadata statement describing if the observation is steady state (SS) or transient (TR) and the source of the spatial coordinates (from dataset CLM - Bore water level NSW). Further it has the distance of each bore to the nearest blue line network and the distance to each prediction (both in km).\n\n\n\nThese files are used in script CLM_MF_SI.py to generate sensitivity indices (based on the Plischke et al. (2013) method) for each group of observations and predictions. These indices are saved in spreadsheets CLM_MF_SI_dmaxL1.csv, CLM_MF_SI_dmaxL2.csv, CLM_MF_SI_dmaxL3.csv, CLM_MF_SI_dmaxL4.csv, CLM_MF_SI_dmaxL6.csv, CLM_MF_SI_hobs.csv, CLM_MF_SI_Qcsg.csv, CLM_MF_SI_objfun.csv.\n\n\n\nScript CLM_MF_dmax_ObjFun.py calculates the objective function values for the design of experiment runs. Each prediction in layer 1 has a tailored objective function which is a weighted sum of the residuals between observations and predictions with weights based on the distance between observation and prediction. In addition to that there is an objective function for the baseflow and CSG water production rates. The results are stored in CLM_MF_DoE_ObjFun.csv and CLM_MF_ObjFun.csv. \n\n\n\nThe latter files are used in scripts CLM_MF_dmax_CreatePosteriorParameters_oo.R and CLM_MF_dmax_CreatePosteriorParameters_gen.R to carry out the Markov Chain Monte Carlo sampling of the prior parameter distributions with the Approximate Bayesian Computation methodology as described in Cui et al (2016) by generating and applying emulators for each objective function. The scripts use the scripts in dataset R-scripts for uncertainty analysis v01. These files are run on the high performance computation cluster machines with batch file CLM_MF_dmax_CreatePosterior.slurm. These scripts result in posterior parameter combinations for each objective function, stored in directory PosteriorParameters, with filename convention CLM_MF_dmax_Posterior_Parameters_OO_%i_batch.csv % 1-982. The general posterior parameter distribution (i.e. without the distance weighted groundwater level observations) is stored in CLM_MF_dmax_Posterior_Parameters_gen_batch1.csv. \n\n\n\nThe same set of spreadsheets is used to test convergence of the emulator performance with script CLM_MF_emulator_convergence.R and batch file CLM_MF_emulator_convergence.slurm to produce spreadsheet CLM_MF_convergence_objfun_qriv.csv.\n\n\n\nThe posterior parameter distributions are sampled with scripts CLM_MF_dmax_MCsampler_OO_i.R, CLM_MF_dmax_MCsampler_gen_i.R, CLM_MF_tmax_MCsampler_OO_i.R, CLM_MF_tmax_MCsampler_gen_i.R and associated .slurm batch files. Files ending in OO_i.R sample for predictions that have a groundwater level observation constrained objective function, files ending in gen_i.R sample the predictions that have the general objective function. The scripts create and apply an emulator for each prediction. The emulator and results are stored in directory Emulators. This directory is not part of the this dataset but can be regenerated by running the scripts on the high performance computation clusters.\n\n\n\nScript CLM_MF_collate_predictions.csv collates all posterior predictive distributions in spreadsheets CLM_MF_dmax_PosteriorPredictions.csv and CLM_MF_tmax_PosteriorPredictions.csv. These files are further summarised in spreadsheet CLM_MF_dmax_tmax_excprob.csv with script CLM_MF_exc_prob. This spreadsheet contains for all predictions the coordinates, layer, number of samples in the posterior parameter distribution and the 5th, 50th and 95th percentile of dmax and tmax, the probability of exceeding 1 cm and 20 cm drawdown, the maximum dmax value from the design of experiment and for the predictions in layer 1 the threshold of the objective function and the acceptance rate.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) CLM MODFLOW Uncertainty Analysis. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/25e01e3c-7b87-4200-9ef2-5c5405627130.\n\n## **Dataset Ancestors** \n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204](https://data.gov.au/data/dataset/fd59894f-06b0-4c6f-9029-488934cfa7ba)\n\n* **Derived From** [Qld 100K mapsheets - Mount Lindsay](https://data.gov.au/data/dataset/3031172f-ec23-4c4d-835f-0772da8829ba)\n\n* **Derived From** [Qld 100K mapsheets - Helidon](https://data.gov.au/data/dataset/b3f4f1b5-a2fd-40fc-b35b-78b100a50dcb)\n\n* **Derived From** [Qld 100K mapsheets - Ipswich](https://data.gov.au/data/dataset/71d610f7-084a-44c6-afa3-f0763396239b)\n\n* **Derived From** [CLM - Woogaroo Subgroup extent](https://data.gov.au/data/dataset/7da67176-77fb-47fd-9bfa-1fae92261cf4)\n\n* **Derived From** [CLM - Interpolated surfaces of Alluvium depth](https://data.gov.au/data/dataset/7867c5af-e2a0-43f7-ae09-30fb4d9a656a)\n\n* **Derived From** [CLM - Extent of Logan and Albert river alluvial systems](https://data.gov.au/data/dataset/c0047016-9e16-4803-ae21-a671582025f1)\n\n* **Derived From** [CLM - Bore allocations NSW v02](https://data.gov.au/data/dataset/2a7f1f7a-586a-4e1d-8f04-25818ca0d194)\n\n* **Derived From** [CLM - Bore allocations NSW](https://data.gov.au/data/dataset/3bb16039-ceeb-4966-aa28-a7c62b6d69ff)\n\n* **Derived From** [CLM - Bore assignments NSW and QLD summary tables](https://data.gov.au/data/dataset/f92af83d-3db0-4053-b766-4915609db12b)\n\n* **Derived From** [CLM - Geology NSW & Qld combined v02](https://data.gov.au/data/dataset/982bd271-5ce8-48cf-b3cf-c50550509baa)\n\n* **Derived From** [CLM - Orara-Bungawalbin bedrock](https://data.gov.au/data/dataset/c5f52b4d-5a3e-4772-97f9-171b875e32dc)\n\n* **Derived From** [CLM16gwl NSW Office of Water_GW licence extract linked to spatial locations_CLM_v3_13032014](https://data.gov.au/data/dataset/4b0e74ed-2fad-4608-a743-92163e13c30d)\n\n* **Derived From** [CLM groundwater model hydraulic property data](https://data.gov.au/data/dataset/e2444e2a-2c5d-4c07-9685-145d82adf131)\n\n* **Derived From** [CLM - Koukandowie FM bedrock](https://data.gov.au/data/dataset/87ee5e91-fbd6-4bcd-8344-c52df1f4f226)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\n* **Derived From** [NSW Office of Water - National Groundwater Information System 20140701](https://data.gov.au/data/dataset/7ab9820e-1e43-4600-8875-a0834345fb6d)\n\n* **Derived From** [CLM - Gatton Sandstone extent](https://data.gov.au/data/dataset/ace6073d-9db3-4702-a4bf-78345505d9f5)\n\n* **Derived From** [CLM16gwl NSW Office of Water, GW licence extract linked to spatial locations in CLM v2 28022014](https://data.gov.au/data/dataset/ed68451f-8e24-4fed-988d-0aef12a997ee)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [NSW Geological Survey - geological units DRAFT line work.](https://data.gov.au/data/dataset/8fd05241-5f8c-4a02-9c16-9da9bc6b33c8)\n\n* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n* **Derived From** [CLM Preliminary Assessment Extent Definition & Report( CLM PAE)](https://data.gov.au/data/dataset/2cdd0e81-026e-4a41-87b0-ec003eddc5c1)\n\n* **Derived From** [Qld 100K mapsheets - Caboolture](https://data.gov.au/data/dataset/cee55c9c-29f9-4733-aac9-9b82a2ff739f)\n\n* **Derived From** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)\n\n* **Derived From** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)\n\n* **Derived From** [Qld 100k mapsheets - Murwillumbah](https://data.gov.au/data/dataset/c9852e4a-1084-4fdb-a538-17b89736205d)\n\n* **Derived From** [AHGFContractedCatchment - V2.1 - Bremer-Warrill](https://data.gov.au/data/dataset/23825b8f-0f58-417b-ad54-1074d4863b03)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013](https://data.gov.au/data/dataset/5d8c8f5c-7ace-40ce-87ce-0b311b028c10)\n\n* **Derived From** [QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111](https://data.gov.au/data/dataset/827e70b3-29d5-4e89-8d59-a93bc499de60)\n\n* **Derived From** [CLM - Bore water level NSW](https://data.gov.au/data/dataset/d20a15c4-b4ea-45a4-97e3-6ed83373ba97)\n\n* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)\n\n* **Derived From** [CLM - New South Wales Department of Trade and Investment 3D geological model layers](https://data.gov.au/data/dataset/0843bdb7-d8e8-40ac-ae9c-0ac59b37cdf7)\n\n* **Derived From** [CLM - Metgasco 3D geological model formation top grids](https://data.gov.au/data/dataset/41cc99e6-0309-4a74-a1ba-cb0f9a12ff4e)\n\n* **Derived From** [R-scripts for uncertainty analysis v01](https://data.gov.au/data/dataset/322c38ef-272f-4e77-964c-a14259abe9cf)\n\n* **Derived From** [State Transmissivity Estimates for Hydrogeology Cross-Cutting Project](https://data.gov.au/data/dataset/db6643ff-f4ec-4aa3-9f5d-afdce1bce5b1)\n\n* **Derived From** [CLM - Extent of Bremer river and Warrill creek alluvial systems](https://data.gov.au/data/dataset/21239a36-67ea-4535-92e4-6ad4e37e0108)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [Pilot points for prediction interpolation of layer 1 in CLM groundwater model](https://data.gov.au/data/dataset/e5d7d69a-629a-467d-87db-dd792808fca4)\n\n* **Derived From** [Qld 100K mapsheets - Esk](https://data.gov.au/data/dataset/9e7334b7-fbb0-4893-bd08-ac296ce9a4fb)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014](https://data.gov.au/data/dataset/b1ba5370-2c60-485f-9620-ddad39498999)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [CLM - Qld Surface Geology Mapsheets](https://data.gov.au/data/dataset/a040de87-21b1-4097-a273-41471405ab28)\n\n* **Derived From** [NSW Office of Water Pump Test dataset](https://data.gov.au/data/dataset/d8f1062f-97d5-4d78-9ca8-b5719fe3fced)\n\n* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)\n\n* **Derived From** [CLM - New South Wales well completion reports](https://data.gov.au/data/dataset/85d50f57-37bb-4af5-ab67-4e8849d0cd98)\n\n* **Derived From** [Data for river stage interpolation in the CLM groundwater model](https://data.gov.au/data/dataset/c486f991-fc71-44c5-974f-85913ce82faf)\n\n* **Derived From** [CLM - Extent of Lockyer Creek alluvial system](https://data.gov.au/data/dataset/98160487-1dfe-41b5-9f8c-dc73795e2094)\n\n* **Derived From** [CLM - DEM in ascii format](https://data.gov.au/data/dataset/4e33c849-20ef-48f0-a522-22ac80d9cc73)\n\n* **Derived From** [CLM - Grafton-Rapville bedrock](https://data.gov.au/data/dataset/1c217d86-ba4e-480b-8786-2ab083c2495f)\n\n* **Derived From** [CLM - Bore water level QLD](https://data.gov.au/data/dataset/20c5f443-bd19-4d2b-9f96-6633244c64e5)\n\n* **Derived From** [QLD Coal Seam Gas well locations - 14/08/2014](https://data.gov.au/data/dataset/88028a0b-7c1e-4b70-8217-abc2c536e6c4)\n\n* **Derived From** [CLM - Orara-Kangaroo bedrock](https://data.gov.au/data/dataset/9daa153e-dbcf-4a7d-9fe6-790ebd7bca94)\n\n* **Derived From** [Qld 100k mapsheets - Warwick](https://data.gov.au/data/dataset/3e2fa307-1f06-4873-96d3-5c3e5638894a)\n\n* **Derived From** [CLM - Walloon Coal Measures spatial extent](https://data.gov.au/data/dataset/a6f029c1-b57a-496a-b6ad-2f017cc89702)\n\n* **Derived From** [Geofabric Surface Catchments - V2.1](https://data.gov.au/data/dataset/ea1b6f6c-e8a3-4c78-a463-044c89857fc0)\n\n* **Derived From** [CLM - Stratigraphic wells in the QLD area of the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/76975f35-715f-42e3-97c2-44f5c8de88a6)\n\n* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)\n\n* **Derived From** [CLM - Queensland well completion reports](https://data.gov.au/data/dataset/e66a0708-2d10-4f21-bbe1-c986f5e0d4e7)\n\n* **Derived From** [National Groundwater Information System (NGIS) v1.1](https://data.gov.au/data/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [Qld 100k mapsheets - Kingaroy](https://data.gov.au/data/dataset/01f58f60-9688-4b62-9de9-7e58aa0eeeb6)\n\n* **Derived From** [CLM - Stratigraphic wells data from IRTM in the QLD area of the Clarence-Morton bioregion](https://data.gov.au/data/dataset/0de9e452-240b-439d-82b9-25dc85eb5b15)\n\n* **Derived From** [CLM - Basalt extent](https://data.gov.au/data/dataset/d01c0a51-9102-471c-b2bd-d5f413731bd9)\n\n* **Derived From** [CLM groundwater model V1](https://data.gov.au/data/dataset/2acf0342-956e-430f-9142-cf64d2b9d118)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [CLM AWRA model](https://data.gov.au/data/dataset/abfefbbf-4cc3-4b05-a4ea-1a79e916e72b)\n\n* **Derived From** [CLM - Interpolated piezometric surfaces for Alluvium](https://data.gov.au/data/dataset/da04bc6a-b2ad-427f-a434-643ad6006ea0)\n\n* **Derived From** [CLM - Hydraulic conductivity NSW](https://data.gov.au/data/dataset/cecfa372-52ca-49f8-b61c-6506279eafb5)\n\n* **Derived From** [CLM - Coal Bore Holes in QLD region of Clarence-Moreton bioregion](https://data.gov.au/data/dataset/3d2b63fc-b5ee-4ade-bdb9-694fa0fd41b1)\n\n* **Derived From** [CLM Groundwater Model Boundary](https://data.gov.au/data/dataset/dd691d5c-48a2-42fd-9902-4770c871b50f)\n\n* **Derived From** [Clarence-Moreton SEEBASE & Structural GIS Project data.](https://data.gov.au/data/dataset/b1690f8b-4025-45d2-96a0-6feb03ff3e52)\n\n* **Derived From** [Coal Bore Holes - QLD](https://data.gov.au/data/dataset/e7802c0f-e11b-4f9a-a597-a5f316f40ec3)\n\n* **Derived From** [Qld 100k mapsheets - Beenleigh](https://data.gov.au/data/dataset/f2eb7c75-52c5-4738-b7b7-76ec31b7f7ee)\n\n* **Derived From** [QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808](https://data.gov.au/data/dataset/a5c5cbdb-1152-43f7-9533-a123027b7ce1)\n\n* **Derived From** [Qld 100K mapsheets - Inglewood](https://data.gov.au/data/dataset/32869100-6b73-44a4-bcef-c58e380d0b7d)\n\n* **Derived From** [Qld 100K mapsheets - Oakey](https://data.gov.au/data/dataset/9b5ef250-c085-4365-b9c0-bb34e0b56150)\n\n* **Derived From** [Qld 100K mapsheets - Toowoomba](https://data.gov.au/data/dataset/5b8bf9c4-d127-45c5-9fef-a71013331d86)\n\n* **Derived From** [CLM - Main Range volcanics](https://data.gov.au/data/dataset/b6f08090-aed0-4a6a-9a61-cdd2333138ed)\n\n* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)\n\n* **Derived From** [CLM - Bore assignments NSW](https://data.gov.au/data/dataset/e035500e-868e-44bb-8993-7c67048773a9)\n\n* **Derived From** [CLM bioregion 3D geological model](https://data.gov.au/data/dataset/ec308925-99ae-4bbf-9005-08097d8342e5)\n\n* **Derived From** [CLM - Grafton-Piora bedrock](https://data.gov.au/data/dataset/59addbea-b8a5-4409-9c36-da260efe81f1)\n\n* **Derived From** [Victorian Groundwater Management System Dec 2012 (superseded)](https://data.gov.au/data/dataset/0e144947-4b0c-4c31-b605-9ecabdf2730b)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014](https://data.gov.au/data/dataset/68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6)\n\n* **Derived From** [CLM - Extent of Richmond river alluvial system May 6th 2014](https://data.gov.au/data/dataset/75029853-ab90-42c8-a6de-85ecf1671dda)\n\n* **Derived From** [CLM - Lamington volcanics](https://data.gov.au/data/dataset/00358558-b7fc-4165-a4e3-fd1ec26ed51a)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [CLM - Richmond catchment boundary](https://data.gov.au/data/dataset/a69bfc76-60b0-4256-8156-4ed7bba39bad)\n\n* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)\n\n* **Derived From** [CLM - Extent of Richmond river alluvial system February 3rd 2015](https://data.gov.au/data/dataset/e8a94d1e-d0c4-4c66-87ec-59bc83ea5d82)\n\n* **Derived From** [CLM - Bore assignments QLD](https://data.gov.au/data/dataset/f8937dd8-b3a0-490e-a452-9dc56fe03914)\n\n* **Derived From** [Qld 100K mapsheets - Allora](https://data.gov.au/data/dataset/46a276a3-fa56-4b1c-8aa4-0af90d28756b)\n\n* **Derived From** [Qld 100K mapsheets - Jandowae](https://data.gov.au/data/dataset/0e11158d-8dbb-453b-9bf0-f79fa3fa1d89)\n\n* **Derived From** [CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/a1f5c7b3-ea1f-4ef0-9d05-f54e81f4c7b6)\n\n* **Derived From** [CLM - Extent of Clarence River alluvial systems](https://data.gov.au/data/dataset/46ec2295-19f2-48b7-bdbb-9347e6301c02)\n\n* **Derived From** [Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013](https://data.gov.au/data/dataset/08b34518-c947-4665-82e5-c144b5b24e01)\n\n* **Derived From** [Formation tops exploration wells](https://data.gov.au/data/dataset/414c8231-9471-4620-b2ea-f57e2114d1bb)\n\n* **Derived From** [CLM16gwl NSW Office of Water Groundwater Licence Extract Clarence Moreton- Oct 2013](https://data.gov.au/data/dataset/d9bd77b6-5bc3-4832-a212-0e8f5ba48076)\n\n* **Derived From** [QLD Petroleum Leases, 28/11/2013](https://data.gov.au/data/dataset/aac9dbce-f98b-4b95-9a04-d5a5f405d409)\n\n* **Derived From** [CLM - Coal seam gas and petroleum wells](https://data.gov.au/data/dataset/598c923e-7eba-47ab-a1de-637dbe0d08fd)\n\n* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)\n\n* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)\n\n&rft.creator=Bioregional Assessment Program&rft.date=2023&rft.coverage=POLYGON ((0 0, 0 0, 0 0, 0 0))&rft_rights=Restricted access. This dataset is not available for public distribution.&rft_subject=Clarence-Moreton bioregion&rft_subject=environment&rft_subject=inlandWaters&rft.type=dataset&rft.language=English Access the data

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Restricted access. This dataset is not available for public distribution.

Brief description

## **Abstract**

The 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. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.



This dataset contains all the scripts used to conduct the uncertainty analysis for the maximum drawdown and time to maximum drawdown at the groundwater receptors in the Clarence-Moreton bioregion and all the resulting posterior predictions. This is described in product 2.6.2 Groundwater numerical modelling (Cui et al. 2016). See History for a detailed explanation of the dataset contents.

## **Dataset History**

This dataset uses the results of the design of experiment runs of the MODFLOW groundwater model of the Clarence-Moreton subregion to train emulators to (a) constrain the prior parameter ensembles into the posterior parameter ensembles and to (b) generate the predictive posterior ensembles of maximum drawdown and time to maximum drawdown. This is described in product 2.6.2 Groundwater numerical modelling (Cui et al. 2016).



A flow chart of the way the various files and scripts interact is provided in CLM_MF_dmax_v02_Flowchart.png (editable version in CLM_MF_dmax_v02_Flowchart.gliffy).



R-script CLM_DoE_Parameters.R creates the set of parameters for the design of experiment in CLM_DoE_Parameters.csv. Each of these parameter combinations is evaluated with the groundwater model (dataset CLM groundwater model V1). Associated with this spreadsheet is file CLM_MF_Parameters.csv. This file contains, for each parameter, if it is included in the sensitivity analysis, tied to another parameters, the initial value and range, the transformation, the type of prior distribution with its mean and covariance structure.



The results of the design of experiment model runs are summarised in files CLM_MF_dmax_DoE_Predictions.csv, CLM_MF_tmax_DoE_Predictions.csv, CLM_MF_DoE_Observations.csv, which have the maximum additional drawdown, the time to maximum additional drawdown for each receptor and the simulated equivalents to observations respectively. The first two are generated with post-processing scripts in dataset groundwater model V1, while for the last file, additional script CLM_MF_postprocess_riverflux.py is used to summarise the simulated equivalents to the surface water groundwater exchange flux.



Spreadsheets CLM_MF_dmax_Predictions.csv and CLM_MF_tmax_Predictions.csv capture additional information on each prediction; the name of the prediction, transformation, min, max and median of design of experiment, a boolean to indicate the prediction is to be included in the uncertainty analysis, the layer it is assigned to and which objective function to use to constrain the prediction.

Spreadsheet CLM_MF_dmax_Observations.csv has additional information on each observation; the name of the observation, a boolean to indicate to use the observation, the min and max of the design of experiment, a metadata statement describing if the observation is steady state (SS) or transient (TR) and the source of the spatial coordinates (from dataset CLM - Bore water level NSW). Further it has the distance of each bore to the nearest blue line network and the distance to each prediction (both in km).



These files are used in script CLM_MF_SI.py to generate sensitivity indices (based on the Plischke et al. (2013) method) for each group of observations and predictions. These indices are saved in spreadsheets CLM_MF_SI_dmaxL1.csv, CLM_MF_SI_dmaxL2.csv, CLM_MF_SI_dmaxL3.csv, CLM_MF_SI_dmaxL4.csv, CLM_MF_SI_dmaxL6.csv, CLM_MF_SI_hobs.csv, CLM_MF_SI_Qcsg.csv, CLM_MF_SI_objfun.csv.



Script CLM_MF_dmax_ObjFun.py calculates the objective function values for the design of experiment runs. Each prediction in layer 1 has a tailored objective function which is a weighted sum of the residuals between observations and predictions with weights based on the distance between observation and prediction. In addition to that there is an objective function for the baseflow and CSG water production rates. The results are stored in CLM_MF_DoE_ObjFun.csv and CLM_MF_ObjFun.csv.



The latter files are used in scripts CLM_MF_dmax_CreatePosteriorParameters_oo.R and CLM_MF_dmax_CreatePosteriorParameters_gen.R to carry out the Markov Chain Monte Carlo sampling of the prior parameter distributions with the Approximate Bayesian Computation methodology as described in Cui et al (2016) by generating and applying emulators for each objective function. The scripts use the scripts in dataset R-scripts for uncertainty analysis v01. These files are run on the high performance computation cluster machines with batch file CLM_MF_dmax_CreatePosterior.slurm. These scripts result in posterior parameter combinations for each objective function, stored in directory PosteriorParameters, with filename convention CLM_MF_dmax_Posterior_Parameters_OO_%i_batch.csv % 1-982. The general posterior parameter distribution (i.e. without the distance weighted groundwater level observations) is stored in CLM_MF_dmax_Posterior_Parameters_gen_batch1.csv.



The same set of spreadsheets is used to test convergence of the emulator performance with script CLM_MF_emulator_convergence.R and batch file CLM_MF_emulator_convergence.slurm to produce spreadsheet CLM_MF_convergence_objfun_qriv.csv.



The posterior parameter distributions are sampled with scripts CLM_MF_dmax_MCsampler_OO_i.R, CLM_MF_dmax_MCsampler_gen_i.R, CLM_MF_tmax_MCsampler_OO_i.R, CLM_MF_tmax_MCsampler_gen_i.R and associated .slurm batch files. Files ending in OO_i.R sample for predictions that have a groundwater level observation constrained objective function, files ending in gen_i.R sample the predictions that have the general objective function. The scripts create and apply an emulator for each prediction. The emulator and results are stored in directory Emulators. This directory is not part of the this dataset but can be regenerated by running the scripts on the high performance computation clusters.



Script CLM_MF_collate_predictions.csv collates all posterior predictive distributions in spreadsheets CLM_MF_dmax_PosteriorPredictions.csv and CLM_MF_tmax_PosteriorPredictions.csv. These files are further summarised in spreadsheet CLM_MF_dmax_tmax_excprob.csv with script CLM_MF_exc_prob. This spreadsheet contains for all predictions the coordinates, layer, number of samples in the posterior parameter distribution and the 5th, 50th and 95th percentile of dmax and tmax, the probability of exceeding 1 cm and 20 cm drawdown, the maximum dmax value from the design of experiment and for the predictions in layer 1 the threshold of the objective function and the acceptance rate.

## **Dataset Citation**

Bioregional Assessment Programme (2016) CLM MODFLOW Uncertainty Analysis. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/25e01e3c-7b87-4200-9ef2-5c5405627130.

## **Dataset Ancestors**

* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204](https://data.gov.au/data/dataset/fd59894f-06b0-4c6f-9029-488934cfa7ba)

* **Derived From** [Qld 100K mapsheets - Mount Lindsay](https://data.gov.au/data/dataset/3031172f-ec23-4c4d-835f-0772da8829ba)

* **Derived From** [Qld 100K mapsheets - Helidon](https://data.gov.au/data/dataset/b3f4f1b5-a2fd-40fc-b35b-78b100a50dcb)

* **Derived From** [Qld 100K mapsheets - Ipswich](https://data.gov.au/data/dataset/71d610f7-084a-44c6-afa3-f0763396239b)

* **Derived From** [CLM - Woogaroo Subgroup extent](https://data.gov.au/data/dataset/7da67176-77fb-47fd-9bfa-1fae92261cf4)

* **Derived From** [CLM - Interpolated surfaces of Alluvium depth](https://data.gov.au/data/dataset/7867c5af-e2a0-43f7-ae09-30fb4d9a656a)

* **Derived From** [CLM - Extent of Logan and Albert river alluvial systems](https://data.gov.au/data/dataset/c0047016-9e16-4803-ae21-a671582025f1)

* **Derived From** [CLM - Bore allocations NSW v02](https://data.gov.au/data/dataset/2a7f1f7a-586a-4e1d-8f04-25818ca0d194)

* **Derived From** [CLM - Bore allocations NSW](https://data.gov.au/data/dataset/3bb16039-ceeb-4966-aa28-a7c62b6d69ff)

* **Derived From** [CLM - Bore assignments NSW and QLD summary tables](https://data.gov.au/data/dataset/f92af83d-3db0-4053-b766-4915609db12b)

* **Derived From** [CLM - Geology NSW & Qld combined v02](https://data.gov.au/data/dataset/982bd271-5ce8-48cf-b3cf-c50550509baa)

* **Derived From** [CLM - Orara-Bungawalbin bedrock](https://data.gov.au/data/dataset/c5f52b4d-5a3e-4772-97f9-171b875e32dc)

* **Derived From** [CLM16gwl NSW Office of Water_GW licence extract linked to spatial locations_CLM_v3_13032014](https://data.gov.au/data/dataset/4b0e74ed-2fad-4608-a743-92163e13c30d)

* **Derived From** [CLM groundwater model hydraulic property data](https://data.gov.au/data/dataset/e2444e2a-2c5d-4c07-9685-145d82adf131)

* **Derived From** [CLM - Koukandowie FM bedrock](https://data.gov.au/data/dataset/87ee5e91-fbd6-4bcd-8344-c52df1f4f226)

* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)

* **Derived From** [NSW Office of Water - National Groundwater Information System 20140701](https://data.gov.au/data/dataset/7ab9820e-1e43-4600-8875-a0834345fb6d)

* **Derived From** [CLM - Gatton Sandstone extent](https://data.gov.au/data/dataset/ace6073d-9db3-4702-a4bf-78345505d9f5)

* **Derived From** [CLM16gwl NSW Office of Water, GW licence extract linked to spatial locations in CLM v2 28022014](https://data.gov.au/data/dataset/ed68451f-8e24-4fed-988d-0aef12a997ee)

* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)

* **Derived From** [NSW Geological Survey - geological units DRAFT line work.](https://data.gov.au/data/dataset/8fd05241-5f8c-4a02-9c16-9da9bc6b33c8)

* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)

* **Derived From** [CLM Preliminary Assessment Extent Definition & Report( CLM PAE)](https://data.gov.au/data/dataset/2cdd0e81-026e-4a41-87b0-ec003eddc5c1)

* **Derived From** [Qld 100K mapsheets - Caboolture](https://data.gov.au/data/dataset/cee55c9c-29f9-4733-aac9-9b82a2ff739f)

* **Derived From** [CLM - AWRA Calibration Gauges SubCatchments](https://data.gov.au/data/dataset/af6476a5-02e7-4916-8151-504896729ce6)

* **Derived From** [CLM - NSW Office of Water Gauge Data for Tweed, Richmond & Clarence rivers. Extract 20140901](https://data.gov.au/data/dataset/a4b5b711-57c4-4b02-bd8b-a05d7379f319)

* **Derived From** [Qld 100k mapsheets - Murwillumbah](https://data.gov.au/data/dataset/c9852e4a-1084-4fdb-a538-17b89736205d)

* **Derived From** [AHGFContractedCatchment - V2.1 - Bremer-Warrill](https://data.gov.au/data/dataset/23825b8f-0f58-417b-ad54-1074d4863b03)

* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)

* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)

* **Derived From** [QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013](https://data.gov.au/data/dataset/5d8c8f5c-7ace-40ce-87ce-0b311b028c10)

* **Derived From** [QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111](https://data.gov.au/data/dataset/827e70b3-29d5-4e89-8d59-a93bc499de60)

* **Derived From** [CLM - Bore water level NSW](https://data.gov.au/data/dataset/d20a15c4-b4ea-45a4-97e3-6ed83373ba97)

* **Derived From** [Climate model 0.05x0.05 cells and cell centroids](https://data.gov.au/data/dataset/3df5188b-f027-4d51-99a8-45e2800f29c8)

* **Derived From** [CLM - New South Wales Department of Trade and Investment 3D geological model layers](https://data.gov.au/data/dataset/0843bdb7-d8e8-40ac-ae9c-0ac59b37cdf7)

* **Derived From** [CLM - Metgasco 3D geological model formation top grids](https://data.gov.au/data/dataset/41cc99e6-0309-4a74-a1ba-cb0f9a12ff4e)

* **Derived From** [R-scripts for uncertainty analysis v01](https://data.gov.au/data/dataset/322c38ef-272f-4e77-964c-a14259abe9cf)

* **Derived From** [State Transmissivity Estimates for Hydrogeology Cross-Cutting Project](https://data.gov.au/data/dataset/db6643ff-f4ec-4aa3-9f5d-afdce1bce5b1)

* **Derived From** [CLM - Extent of Bremer river and Warrill creek alluvial systems](https://data.gov.au/data/dataset/21239a36-67ea-4535-92e4-6ad4e37e0108)

* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)

* **Derived From** [Pilot points for prediction interpolation of layer 1 in CLM groundwater model](https://data.gov.au/data/dataset/e5d7d69a-629a-467d-87db-dd792808fca4)

* **Derived From** [Qld 100K mapsheets - Esk](https://data.gov.au/data/dataset/9e7334b7-fbb0-4893-bd08-ac296ce9a4fb)

* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores and NGIS v4 28072014](https://data.gov.au/data/dataset/b1ba5370-2c60-485f-9620-ddad39498999)

* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)

* **Derived From** [CLM - Qld Surface Geology Mapsheets](https://data.gov.au/data/dataset/a040de87-21b1-4097-a273-41471405ab28)

* **Derived From** [NSW Office of Water Pump Test dataset](https://data.gov.au/data/dataset/d8f1062f-97d5-4d78-9ca8-b5719fe3fced)

* **Derived From** [CLM - NSW River Gauge pdf documents.](https://data.gov.au/data/dataset/ffc17844-006c-40e8-adcd-53e75efb530f)

* **Derived From** [CLM - New South Wales well completion reports](https://data.gov.au/data/dataset/85d50f57-37bb-4af5-ab67-4e8849d0cd98)

* **Derived From** [Data for river stage interpolation in the CLM groundwater model](https://data.gov.au/data/dataset/c486f991-fc71-44c5-974f-85913ce82faf)

* **Derived From** [CLM - Extent of Lockyer Creek alluvial system](https://data.gov.au/data/dataset/98160487-1dfe-41b5-9f8c-dc73795e2094)

* **Derived From** [CLM - DEM in ascii format](https://data.gov.au/data/dataset/4e33c849-20ef-48f0-a522-22ac80d9cc73)

* **Derived From** [CLM - Grafton-Rapville bedrock](https://data.gov.au/data/dataset/1c217d86-ba4e-480b-8786-2ab083c2495f)

* **Derived From** [CLM - Bore water level QLD](https://data.gov.au/data/dataset/20c5f443-bd19-4d2b-9f96-6633244c64e5)

* **Derived From** [QLD Coal Seam Gas well locations - 14/08/2014](https://data.gov.au/data/dataset/88028a0b-7c1e-4b70-8217-abc2c536e6c4)

* **Derived From** [CLM - Orara-Kangaroo bedrock](https://data.gov.au/data/dataset/9daa153e-dbcf-4a7d-9fe6-790ebd7bca94)

* **Derived From** [Qld 100k mapsheets - Warwick](https://data.gov.au/data/dataset/3e2fa307-1f06-4873-96d3-5c3e5638894a)

* **Derived From** [CLM - Walloon Coal Measures spatial extent](https://data.gov.au/data/dataset/a6f029c1-b57a-496a-b6ad-2f017cc89702)

* **Derived From** [Geofabric Surface Catchments - V2.1](https://data.gov.au/data/dataset/ea1b6f6c-e8a3-4c78-a463-044c89857fc0)

* **Derived From** [CLM - Stratigraphic wells in the QLD area of the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/76975f35-715f-42e3-97c2-44f5c8de88a6)

* **Derived From** [CLM16swg Surface water gauging station data within the Clarence Moreton Basin](https://data.gov.au/data/dataset/1e4cdb84-10cf-4772-91fc-820688dc9aef)

* **Derived From** [CLM - Queensland well completion reports](https://data.gov.au/data/dataset/e66a0708-2d10-4f21-bbe1-c986f5e0d4e7)

* **Derived From** [National Groundwater Information System (NGIS) v1.1](https://data.gov.au/data/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7)

* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)

* **Derived From** [Qld 100k mapsheets - Kingaroy](https://data.gov.au/data/dataset/01f58f60-9688-4b62-9de9-7e58aa0eeeb6)

* **Derived From** [CLM - Stratigraphic wells data from IRTM in the QLD area of the Clarence-Morton bioregion](https://data.gov.au/data/dataset/0de9e452-240b-439d-82b9-25dc85eb5b15)

* **Derived From** [CLM - Basalt extent](https://data.gov.au/data/dataset/d01c0a51-9102-471c-b2bd-d5f413731bd9)

* **Derived From** [CLM groundwater model V1](https://data.gov.au/data/dataset/2acf0342-956e-430f-9142-cf64d2b9d118)

* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)

* **Derived From** [CLM AWRA model](https://data.gov.au/data/dataset/abfefbbf-4cc3-4b05-a4ea-1a79e916e72b)

* **Derived From** [CLM - Interpolated piezometric surfaces for Alluvium](https://data.gov.au/data/dataset/da04bc6a-b2ad-427f-a434-643ad6006ea0)

* **Derived From** [CLM - Hydraulic conductivity NSW](https://data.gov.au/data/dataset/cecfa372-52ca-49f8-b61c-6506279eafb5)

* **Derived From** [CLM - Coal Bore Holes in QLD region of Clarence-Moreton bioregion](https://data.gov.au/data/dataset/3d2b63fc-b5ee-4ade-bdb9-694fa0fd41b1)

* **Derived From** [CLM Groundwater Model Boundary](https://data.gov.au/data/dataset/dd691d5c-48a2-42fd-9902-4770c871b50f)

* **Derived From** [Clarence-Moreton SEEBASE & Structural GIS Project data.](https://data.gov.au/data/dataset/b1690f8b-4025-45d2-96a0-6feb03ff3e52)

* **Derived From** [Coal Bore Holes - QLD](https://data.gov.au/data/dataset/e7802c0f-e11b-4f9a-a597-a5f316f40ec3)

* **Derived From** [Qld 100k mapsheets - Beenleigh](https://data.gov.au/data/dataset/f2eb7c75-52c5-4738-b7b7-76ec31b7f7ee)

* **Derived From** [QLD Department of Natural Resources and Mines Groundwater Database Extract 20142808](https://data.gov.au/data/dataset/a5c5cbdb-1152-43f7-9533-a123027b7ce1)

* **Derived From** [Qld 100K mapsheets - Inglewood](https://data.gov.au/data/dataset/32869100-6b73-44a4-bcef-c58e380d0b7d)

* **Derived From** [Qld 100K mapsheets - Oakey](https://data.gov.au/data/dataset/9b5ef250-c085-4365-b9c0-bb34e0b56150)

* **Derived From** [Qld 100K mapsheets - Toowoomba](https://data.gov.au/data/dataset/5b8bf9c4-d127-45c5-9fef-a71013331d86)

* **Derived From** [CLM - Main Range volcanics](https://data.gov.au/data/dataset/b6f08090-aed0-4a6a-9a61-cdd2333138ed)

* **Derived From** [GEODATA 9 second DEM and D8: Digital Elevation Model Version 3 and Flow Direction Grid 2008](https://data.gov.au/data/dataset/ebcf6ca2-513a-4ec7-9323-73508c5d7b93)

* **Derived From** [CLM - Bore assignments NSW](https://data.gov.au/data/dataset/e035500e-868e-44bb-8993-7c67048773a9)

* **Derived From** [CLM bioregion 3D geological model](https://data.gov.au/data/dataset/ec308925-99ae-4bbf-9005-08097d8342e5)

* **Derived From** [CLM - Grafton-Piora bedrock](https://data.gov.au/data/dataset/59addbea-b8a5-4409-9c36-da260efe81f1)

* **Derived From** [Victorian Groundwater Management System Dec 2012 (superseded)](https://data.gov.au/data/dataset/0e144947-4b0c-4c31-b605-9ecabdf2730b)

* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014](https://data.gov.au/data/dataset/68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6)

* **Derived From** [CLM - Extent of Richmond river alluvial system May 6th 2014](https://data.gov.au/data/dataset/75029853-ab90-42c8-a6de-85ecf1671dda)

* **Derived From** [CLM - Lamington volcanics](https://data.gov.au/data/dataset/00358558-b7fc-4165-a4e3-fd1ec26ed51a)

* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)

* **Derived From** [CLM - Richmond catchment boundary](https://data.gov.au/data/dataset/a69bfc76-60b0-4256-8156-4ed7bba39bad)

* **Derived From** [CLM - Streamflow unified NSW](https://data.gov.au/data/dataset/1e848ee6-4f79-469d-90c9-34596828b364)

* **Derived From** [CLM - Extent of Richmond river alluvial system February 3rd 2015](https://data.gov.au/data/dataset/e8a94d1e-d0c4-4c66-87ec-59bc83ea5d82)

* **Derived From** [CLM - Bore assignments QLD](https://data.gov.au/data/dataset/f8937dd8-b3a0-490e-a452-9dc56fe03914)

* **Derived From** [Qld 100K mapsheets - Allora](https://data.gov.au/data/dataset/46a276a3-fa56-4b1c-8aa4-0af90d28756b)

* **Derived From** [Qld 100K mapsheets - Jandowae](https://data.gov.au/data/dataset/0e11158d-8dbb-453b-9bf0-f79fa3fa1d89)

* **Derived From** [CLM - NSW Surface Geology Mapsheets in the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/a1f5c7b3-ea1f-4ef0-9d05-f54e81f4c7b6)

* **Derived From** [CLM - Extent of Clarence River alluvial systems](https://data.gov.au/data/dataset/46ec2295-19f2-48b7-bdbb-9347e6301c02)

* **Derived From** [Hydstra Groundwater Measurement Update - NSW Office of Water, Nov2013](https://data.gov.au/data/dataset/08b34518-c947-4665-82e5-c144b5b24e01)

* **Derived From** [Formation tops exploration wells](https://data.gov.au/data/dataset/414c8231-9471-4620-b2ea-f57e2114d1bb)

* **Derived From** [CLM16gwl NSW Office of Water Groundwater Licence Extract Clarence Moreton- Oct 2013](https://data.gov.au/data/dataset/d9bd77b6-5bc3-4832-a212-0e8f5ba48076)

* **Derived From** [QLD Petroleum Leases, 28/11/2013](https://data.gov.au/data/dataset/aac9dbce-f98b-4b95-9a04-d5a5f405d409)

* **Derived From** [CLM - Coal seam gas and petroleum wells](https://data.gov.au/data/dataset/598c923e-7eba-47ab-a1de-637dbe0d08fd)

* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)

* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)

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Spatial Coverage And Location

text: POLYGON ((0 0, 0 0, 0 0, 0 0))

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