Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis
Hydrogeochemical research and water quality evaluation are an important part of groundwater development and management projects in Dehui City, Jilin Province, China. We collected 217 groundwater samples in the study area and used two multivariate statistical methods, hierarchical cluster analysis an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/10/2792 |
| _version_ | 1797551585763524608 |
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| author | Yunxu Chai Changlai Xiao Mingqian Li Xiujuan Liang |
| author_facet | Yunxu Chai Changlai Xiao Mingqian Li Xiujuan Liang |
| author_sort | Yunxu Chai |
| collection | DOAJ |
| description | Hydrogeochemical research and water quality evaluation are an important part of groundwater development and management projects in Dehui City, Jilin Province, China. We collected 217 groundwater samples in the study area and used two multivariate statistical methods, hierarchical cluster analysis and principal component analysis to classify groundwater; combined graphical method, piper diagram, and Gibbs diagram to characterize groundwater chemical types and distinguish the water chemical control mechanism; and fuzzy comprehensive evaluation method to evaluate groundwater quality. Three major categories have been identified. Most of the groundwater in the study area is Ca-HCO<sub>3</sub> type water. The water chemistry control mechanism is determined to be based on water-rock interaction and less evaporation. From east to west in the study area, the total dissolved solids (TDS) gradually increased, and water quality gradually deteriorated. In the whole region, 79.26% of the groundwater is suitable for drinking. With Yinma River at the boundary, the water quality in the eastern part is excellent, while that in the southwest is poor. After appropriate treatment, it can be used in industry and agriculture. The excess NO<sub>3</sub><sup>−</sup> is mainly affected by human activities. The unique geological conditions of the Songnen Plain result in an excess amount of Fe<sup>3+</sup> and Mn<sup>2+</sup> in some areas. This study determined the chemical characteristics of groundwater in the study area and distinguished water quality levels. The results will be helpful for the development and management of groundwater resources. |
| first_indexed | 2024-03-10T15:47:14Z |
| format | Article |
| id | doaj.art-dddb00a1d3384bf8a34fc2488e7ccc02 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T15:47:14Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-dddb00a1d3384bf8a34fc2488e7ccc022023-11-20T16:22:48ZengMDPI AGWater2073-44412020-10-011210279210.3390/w12102792Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical AnalysisYunxu Chai0Changlai Xiao1Mingqian Li2Xiujuan Liang3Key Laboratory of Groundwater Resources and Environment, Ministry of Education, No. 2519, Jiefang Road, Changchun 130021, ChinaKey Laboratory of Groundwater Resources and Environment, Ministry of Education, No. 2519, Jiefang Road, Changchun 130021, ChinaKey Laboratory of Groundwater Resources and Environment, Ministry of Education, No. 2519, Jiefang Road, Changchun 130021, ChinaKey Laboratory of Groundwater Resources and Environment, Ministry of Education, No. 2519, Jiefang Road, Changchun 130021, ChinaHydrogeochemical research and water quality evaluation are an important part of groundwater development and management projects in Dehui City, Jilin Province, China. We collected 217 groundwater samples in the study area and used two multivariate statistical methods, hierarchical cluster analysis and principal component analysis to classify groundwater; combined graphical method, piper diagram, and Gibbs diagram to characterize groundwater chemical types and distinguish the water chemical control mechanism; and fuzzy comprehensive evaluation method to evaluate groundwater quality. Three major categories have been identified. Most of the groundwater in the study area is Ca-HCO<sub>3</sub> type water. The water chemistry control mechanism is determined to be based on water-rock interaction and less evaporation. From east to west in the study area, the total dissolved solids (TDS) gradually increased, and water quality gradually deteriorated. In the whole region, 79.26% of the groundwater is suitable for drinking. With Yinma River at the boundary, the water quality in the eastern part is excellent, while that in the southwest is poor. After appropriate treatment, it can be used in industry and agriculture. The excess NO<sub>3</sub><sup>−</sup> is mainly affected by human activities. The unique geological conditions of the Songnen Plain result in an excess amount of Fe<sup>3+</sup> and Mn<sup>2+</sup> in some areas. This study determined the chemical characteristics of groundwater in the study area and distinguished water quality levels. The results will be helpful for the development and management of groundwater resources.https://www.mdpi.com/2073-4441/12/10/2792hierarchical cluster analysisprincipal component analysisfuzzy comprehensive evaluationhydrogeochemistrygroundwater quality evaluation |
| spellingShingle | Yunxu Chai Changlai Xiao Mingqian Li Xiujuan Liang Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis Water hierarchical cluster analysis principal component analysis fuzzy comprehensive evaluation hydrogeochemistry groundwater quality evaluation |
| title | Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis |
| title_full | Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis |
| title_fullStr | Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis |
| title_full_unstemmed | Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis |
| title_short | Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis |
| title_sort | hydrogeochemical characteristics and groundwater quality evaluation based on multivariate statistical analysis |
| topic | hierarchical cluster analysis principal component analysis fuzzy comprehensive evaluation hydrogeochemistry groundwater quality evaluation |
| url | https://www.mdpi.com/2073-4441/12/10/2792 |
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