Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation
To highlight the differences in water quality impacts of different indicators in water samples, this paper proposes a grey clustering method based on improved analytic hierarchy process to evaluate the quality of surface water. According to the pollution degree of different indicators in the water q...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201824602004 |
| _version_ | 1819174170829783040 |
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| author | Wang Jia Wang Xu Zhang Xinhua Li Haichen Lei Xiaohui Wang Hao Wang Lixin |
| author_facet | Wang Jia Wang Xu Zhang Xinhua Li Haichen Lei Xiaohui Wang Hao Wang Lixin |
| author_sort | Wang Jia |
| collection | DOAJ |
| description | To highlight the differences in water quality impacts of different indicators in water samples, this paper proposes a grey clustering method based on improved analytic hierarchy process to evaluate the quality of surface water. According to the pollution degree of different indicators in the water quality sample, the importance score is assigned, and the weight of different indicators is calculated by the analytic hierarchy process. The weight participates in the calculation of the grey clustering coefficient, and the evaluated water quality category considers the difference of the contribution rate of different pollutant indicators. The water quality samples of three water periods (Abundant, Normal, and Poor water flow periods) in the four sections of Qingshui River in Duyun City (Tea garden, Youhang, Yingpan and Jiadeng) were selected for evaluation, and the conventional grey clustering method and single factor method were used. The evaluation results were compared and analyzed. The evaluation results show that the improved grey clustering method is more scientific and reasonable and can provide a basis for water quality assessment and water environment management of water environment management departments. |
| first_indexed | 2024-12-22T20:34:43Z |
| format | Article |
| id | doaj.art-725dd947d19442c8802f9944b69e1401 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-22T20:34:43Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-725dd947d19442c8802f9944b69e14012022-12-21T18:13:28ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012460200410.1051/matecconf/201824602004matecconf_iswso2018_02004Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality EvaluationWang Jia0Wang Xu1Zhang Xinhua2Li Haichen3Lei Xiaohui4Wang Hao5Wang Lixin6State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan UniversityState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower ResearchState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan UniversityState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower ResearchState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower ResearchState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower ResearchXishan Coal Electricity Group Co., LtdTo highlight the differences in water quality impacts of different indicators in water samples, this paper proposes a grey clustering method based on improved analytic hierarchy process to evaluate the quality of surface water. According to the pollution degree of different indicators in the water quality sample, the importance score is assigned, and the weight of different indicators is calculated by the analytic hierarchy process. The weight participates in the calculation of the grey clustering coefficient, and the evaluated water quality category considers the difference of the contribution rate of different pollutant indicators. The water quality samples of three water periods (Abundant, Normal, and Poor water flow periods) in the four sections of Qingshui River in Duyun City (Tea garden, Youhang, Yingpan and Jiadeng) were selected for evaluation, and the conventional grey clustering method and single factor method were used. The evaluation results were compared and analyzed. The evaluation results show that the improved grey clustering method is more scientific and reasonable and can provide a basis for water quality assessment and water environment management of water environment management departments.https://doi.org/10.1051/matecconf/201824602004 |
| spellingShingle | Wang Jia Wang Xu Zhang Xinhua Li Haichen Lei Xiaohui Wang Hao Wang Lixin Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation MATEC Web of Conferences |
| title | Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation |
| title_full | Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation |
| title_fullStr | Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation |
| title_full_unstemmed | Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation |
| title_short | Application of Grey Clustering Method Based on Improved Analytic Hierarchy Process in Water Quality Evaluation |
| title_sort | application of grey clustering method based on improved analytic hierarchy process in water quality evaluation |
| url | https://doi.org/10.1051/matecconf/201824602004 |
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