CLM - Groundwater Chemistry outputs from multivariate statistics

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from "QLD DNRM Hydrochemistry with QA/QC" and "NSW Office of Water Groundwater Quality extract 28_nov_2013" data provided by the Qld DNRM and NSW Office of Water. 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\nThe dataset contains the outputs of a multivariate statistical analysis conducted on groundwater chemistry data for different river basins or sub-regions within the CLM bioregion. The analysis was conducted using Statgraphics software. Only samples that passed the QA/QC checks (e.g. charge balances within +-5%) were included in the analysis.\n\n## **Dataset History** \n\nThe original datasets were clipped to the CLM bioregion. After an initial data quality check, only those samples that met the criteria (e.g. charge balance between + and - 5%) were included in the multivariate statistical analysis. Multivariate statistical analysis was conducted on the remaining dataset (i.e. those samples that did not meet the QA/QC criteria removed), resulting in different groundwater chemistry groups. \n\n\n\nThe methodology is described in more detail by Raiber et al., (2012).\n\n\n\nM Raiber, PA White, CJ Daughney, C Tschritter, P Davidson (2012). Three-dimensional geological modelling and multivariate statistical analysis of water chemistry data to analyse and visualise aquifer structure and groundwater composition in the Wairau Plain, Marlborough District, New Zealand, Journal of Hydrology 436, 13-34\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) CLM - Groundwater Chemistry outputs from multivariate statistics. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/4c128b86-1089-4ba9-85f8-76bbd65db396.\n\n## **Dataset Ancestors** \n\n* **Derived From** [NSW Office of Water - Groundwater quality extract](https://data.gov.au/data/dataset/74da836a-7b97-4278-9034-c9a259a34fbb)\n\n* **Derived From** [QLD DNRM Hydrochemistry with QA/QC](https://data.gov.au/data/dataset/4472af17-1470-4e7a-ae1d-9fc6443d9e1d)\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

## **摘要**

本数据集由生物区域评估计划（Bioregional Assessment Programme）基于昆士兰州自然资源与采矿部（QLD DNRM）和新南威尔士州水务办公室（NSW Office of Water）提供的“QLD DNRM Hydrochemistry with QA/QC”以及“NSW Office of Water Groundwater Quality extract 28_nov_2013”数据集衍生所得。源数据集的相关信息已在本元数据声明的“谱系（Lineage）”字段中注明，本衍生数据集的生成流程已在元数据声明的“历史”字段中详细说明。

本数据集包含针对CLM生物区内各流域或子区域的地下水化学数据开展多元统计分析的结果，分析采用Statgraphics软件完成。仅通过质量保证与质量控制（QA/QC）检查（例如电荷平衡误差处于±5%范围内）的样本才被纳入本次分析。

## **数据集历史**

原始数据集已被裁剪至CLM生物区范围。经初步数据质量核查后，仅满足电荷平衡误差在±5%以内等质控标准的样本被纳入多元统计分析。对剔除未通过QA/QC检查样本后的剩余数据集开展多元统计分析，最终得到多组不同的地下水化学分类。

该分析方法的详细内容可参考Raiber等人（2012）的研究成果。
M Raiber、PA White、CJ Daughney、C Tschritter、P Davidson（2012）. 新西兰马尔伯勒区怀劳平原含水层结构与地下水组成的分析及可视化：基于水化学数据的三维地质建模与多元统计分析，《水文学杂志》（Journal of Hydrology），436卷，13-34页。

## **数据集引用**

生物区域评估计划（2014） CLM——基于多元统计分析得到的地下水化学输出结果。生物区域评估计划衍生数据集。2017年9月28日查阅，http://data.bioregionalassessments.gov.au/dataset/4c128b86-1089-4ba9-85f8-76bbd65db396.

## **数据集溯源**

* **衍生自** [新南威尔士州水务办公室——地下水质量提取数据集](https://data.gov.au/data/dataset/74da836a-7b97-4278-9034-c9a259a34fbb)
* **衍生自** [昆士兰州自然资源与采矿部水化学数据集（含QA/QC）](https://data.gov.au/data/dataset/4472af17-1470-4e7a-ae1d-9fc6443d9e1d)
* **衍生自** [昆士兰州自然资源与采矿部20131111地下水数据库提取数据集](https://data.gov.au/data/dataset/827e70b3-29d5-4e89-8d59-a93bc499de60)