Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study

Samples of river water and groundwater from Quaternary (QA), sandstone (SA), Taiyuan formation (TA), and Ordovician limestone (OA) aquifers in the Suxian coal-mining district, Anhui Province, China were collected. Their physicochemical properties, and major ion and isotopic compositions were determi...

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Autores principales:	Song Chen, Herong Gui
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	coal mine district groundwater isotopic geochemistry multi-aquifer Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/89a6427fc8d245f09edae3cfada53f89
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spelling	oai:doaj.org-article:89a6427fc8d245f09edae3cfada53f892021-11-05T21:09:37ZCalculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study1751-231X10.2166/wpt.2021.027https://doaj.org/article/89a6427fc8d245f09edae3cfada53f892021-04-01T00:00:00Zhttp://wpt.iwaponline.com/content/16/2/621https://doaj.org/toc/1751-231XSamples of river water and groundwater from Quaternary (QA), sandstone (SA), Taiyuan formation (TA), and Ordovician limestone (OA) aquifers in the Suxian coal-mining district, Anhui Province, China were collected. Their physicochemical properties, and major ion and isotopic compositions were determined. The samples were alkaline, with pH values exceeding 8, and the total dissolved solids concentrations depended on the water source. The δD and δ18O contents were highest in the river water samples and lowest in the SA groundwater. The isotopic characteristics of the QA and OA groundwaters suggest recharge by rainfall and surface water. The isotopic characteristics of river water were controlled mainly by evaporation. Water–rock interactions, the flow rate, and the main water sources were the most important influences on groundwaters in QA, OA, and TA, but the properties of SA groundwater were controlled by static reserves. Two discriminant functions, explaining more than 98.2% of the total variances, indicated that QA, TA, and OA were hydraulically connected. Three groundwater sources were identified as end-members, and a conceptual model was established to calculate water mixing ratios. Highlights This paper systematically discusses the chemical characteristics of elements and isotopes of groundwater in multi aquifers in coal mine area, and establishes a mixed water source identification model by using statistical method. The research results have certain significance for the establishment of groundwater chemistry and water source identification model.;Song ChenHerong GuiIWA Publishingarticlecoal mine districtgroundwaterisotopic geochemistrymulti-aquiferEnvironmental technology. Sanitary engineeringTD1-1066ENWater Practice and Technology, Vol 16, Iss 2, Pp 621-632 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coal mine district groundwater isotopic geochemistry multi-aquifer Environmental technology. Sanitary engineering TD1-1066
spellingShingle	coal mine district groundwater isotopic geochemistry multi-aquifer Environmental technology. Sanitary engineering TD1-1066 Song Chen Herong Gui Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
description	Samples of river water and groundwater from Quaternary (QA), sandstone (SA), Taiyuan formation (TA), and Ordovician limestone (OA) aquifers in the Suxian coal-mining district, Anhui Province, China were collected. Their physicochemical properties, and major ion and isotopic compositions were determined. The samples were alkaline, with pH values exceeding 8, and the total dissolved solids concentrations depended on the water source. The δD and δ18O contents were highest in the river water samples and lowest in the SA groundwater. The isotopic characteristics of the QA and OA groundwaters suggest recharge by rainfall and surface water. The isotopic characteristics of river water were controlled mainly by evaporation. Water–rock interactions, the flow rate, and the main water sources were the most important influences on groundwaters in QA, OA, and TA, but the properties of SA groundwater were controlled by static reserves. Two discriminant functions, explaining more than 98.2% of the total variances, indicated that QA, TA, and OA were hydraulically connected. Three groundwater sources were identified as end-members, and a conceptual model was established to calculate water mixing ratios. Highlights This paper systematically discusses the chemical characteristics of elements and isotopes of groundwater in multi aquifers in coal mine area, and establishes a mixed water source identification model by using statistical method. The research results have certain significance for the establishment of groundwater chemistry and water source identification model.;
format	article
author	Song Chen Herong Gui
author_facet	Song Chen Herong Gui
author_sort	Song Chen
title	Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
title_short	Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
title_full	Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
title_fullStr	Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
title_full_unstemmed	Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
title_sort	calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/89a6427fc8d245f09edae3cfada53f89
work_keys_str_mv	AT songchen calculatinggroundwatermixingratiosinmultiaquifersbasedonstatisticalmethodsacasestudy AT heronggui calculatinggroundwatermixingratiosinmultiaquifersbasedonstatisticalmethodsacasestudy
_version_	1718444049732468736

Calculating groundwater mixing ratios in multi-aquifers based on statistical methods: a case study

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