Determining mine water sources and mixing ratios affected by mining in a coastal gold mine, in China

This study aimed to identify the potential water sources of the Sanshandao Gold Mine and determine the end-member mixing ratios, to prevent seawater intrusion and water inrush disasters. Based on the hydrogeological setting, an end-member model of mine water based on the hydrogeochemical and isotopi...

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Veröffentlicht in:Environmental earth sciences 2019-05, Vol.78 (10), p.1-16, Article 299
Hauptverfasser: Duan, Xueliang, Ma, Fengshan, Zhao, Haijun, Guo, Jie, Gu, Hongyu, Lu, Rong, Liu, Guowei
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container_issue 10
container_start_page 1
container_title Environmental earth sciences
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creator Duan, Xueliang
Ma, Fengshan
Zhao, Haijun
Guo, Jie
Gu, Hongyu
Lu, Rong
Liu, Guowei
description This study aimed to identify the potential water sources of the Sanshandao Gold Mine and determine the end-member mixing ratios, to prevent seawater intrusion and water inrush disasters. Based on the hydrogeological setting, an end-member model of mine water based on the hydrogeochemical and isotopic analysis was established. Then, the maximum likelihood method was used to estimate the mixing ratios of water sources at each site and analyze the evolution rules of mine water. The results indicated that this method can effectively identify the water sources and calculate the mixing ratios. The fitting results between the calculated and measured values of the stable isotopes and ion concentrations were good. The mean values of deviation for δ 18 O, δD, K + , Na + , Ca 2+ , Mg 2+ , Cl − , SO 4 2− , and Ca 2+ +Mg 2+ were 0.01, 0.02, 0.17, 0.00, − 0.23, 0.38, 0.00, 0.04, and − 0.02, respectively. The mixing ratio results demonstrate that seawater is the main component of the mixed water and the proportion varies with the mining activities; especially in 2011 and 2014, the seawater had a high proportion in the entire mine. The effect of mining on mixing was studied by dividing the study area. Both horizontal and longitudinal mixing were analyzed. The water sites located in the south of F3 (this area is less affected by mining) had a low proportion of seawater. The main range affected by fresh water was at the 465-m sublevel and above. The water flow around F3 was greatly affected by mining, and the proportion of seawater around F3 fluctuates greatly every year; so F3 should be monitored more frequently.
doi_str_mv 10.1007/s12665-019-8310-4
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Based on the hydrogeological setting, an end-member model of mine water based on the hydrogeochemical and isotopic analysis was established. Then, the maximum likelihood method was used to estimate the mixing ratios of water sources at each site and analyze the evolution rules of mine water. The results indicated that this method can effectively identify the water sources and calculate the mixing ratios. The fitting results between the calculated and measured values of the stable isotopes and ion concentrations were good. The mean values of deviation for δ 18 O, δD, K + , Na + , Ca 2+ , Mg 2+ , Cl − , SO 4 2− , and Ca 2+ +Mg 2+ were 0.01, 0.02, 0.17, 0.00, − 0.23, 0.38, 0.00, 0.04, and − 0.02, respectively. The mixing ratio results demonstrate that seawater is the main component of the mixed water and the proportion varies with the mining activities; especially in 2011 and 2014, the seawater had a high proportion in the entire mine. The effect of mining on mixing was studied by dividing the study area. Both horizontal and longitudinal mixing were analyzed. The water sites located in the south of F3 (this area is less affected by mining) had a low proportion of seawater. The main range affected by fresh water was at the 465-m sublevel and above. 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Based on the hydrogeological setting, an end-member model of mine water based on the hydrogeochemical and isotopic analysis was established. Then, the maximum likelihood method was used to estimate the mixing ratios of water sources at each site and analyze the evolution rules of mine water. The results indicated that this method can effectively identify the water sources and calculate the mixing ratios. The fitting results between the calculated and measured values of the stable isotopes and ion concentrations were good. The mean values of deviation for δ 18 O, δD, K + , Na + , Ca 2+ , Mg 2+ , Cl − , SO 4 2− , and Ca 2+ +Mg 2+ were 0.01, 0.02, 0.17, 0.00, − 0.23, 0.38, 0.00, 0.04, and − 0.02, respectively. The mixing ratio results demonstrate that seawater is the main component of the mixed water and the proportion varies with the mining activities; especially in 2011 and 2014, the seawater had a high proportion in the entire mine. The effect of mining on mixing was studied by dividing the study area. Both horizontal and longitudinal mixing were analyzed. The water sites located in the south of F3 (this area is less affected by mining) had a low proportion of seawater. The main range affected by fresh water was at the 465-m sublevel and above. The water flow around F3 was greatly affected by mining, and the proportion of seawater around F3 fluctuates greatly every year; so F3 should be monitored more frequently.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-019-8310-4</doi><tpages>16</tpages></addata></record>
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subjects Biogeosciences
Calcium
Calcium ions
Chemical analysis
Coastal aquifers
Disasters
Earth and Environmental Science
Earth Sciences
Environmental Science and Engineering
Evolution
Fresh water
Freshwater
Freshwater environments
Geochemistry
Geology
Gold
Hydrogeochemistry
Hydrogeology
Hydrology/Water Resources
Inland water environment
Isotopes
Magnesium
Maximum likelihood method
Mine drainage
Mine waters
Mining
Mixing ratio
Original Article
Saline water intrusion
Salt water intrusion
Seawater
Seawater intrusion
Stable isotopes
Terrestrial Pollution
Water analysis
Water flow
Water inrush
Water sources
title Determining mine water sources and mixing ratios affected by mining in a coastal gold mine, in China
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