Preliminary results of water quality assessment using phytoplankton and physicochemical approaches in the Huai River Basin, China
文献类型：期刊论文
| 作者 | Chen, Hao1; Zuo, Qi-ting2,3; Zhang, Yong-yong4
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| 刊名 | WATER SCIENCE AND TECHNOLOGY
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| 出版日期 | 2017-11-01 |
| 卷号 | 76期号:9页码:2554-2564 |
| 关键词 | cluster analysis Huai River Basin (HRB) phytoplankton redundancy analysis water quality |
| ISSN号 | 0273-1223 |
| DOI | 10.2166/wst.2017.418 |
| 通讯作者 | Zuo, Qi-ting(zuoqiting@163.com) |
| 英文摘要 | Water pollution has been a significant issue in the Huai River Basin (HRB) of China since the late 1970s. In July and December 2013, two field investigations were carried out at 10 sites along the main streams of the basin. The monitoring indices contained both physicochemical variables and the structure and composition of phytoplankton communities. The correlations between communities and physicochemical variables were analyzed using cluster analysis and redundancy analysis. Moreover, water quality was evaluated using the comprehensive nutrition state index (TLI) and Shannon-Wiener diversity index (H). Results indicated that more phytoplankton species were present in December than in July, but total density was less in December. Phytoplankton communities in the midstream of the Shaying River were affected by the same physicochemical factors throughout the year, but ammonia nitrogen and total phosphorus had the greatest influence on these sites in July and December, respectively. The water pollution status of the sampling sites was much greater in the Shaying River midstream than at other sites. TLI was more suitable than H for assessing water quality in the study area. These results provide valuable information for policy makers and stakeholders in water quality assessment, water ecosystem restoration, and sustainable basin management in the HRB. |
| WOS关键词 | POLLUTION ; SOUTH ; MANAGEMENT ; INDICATOR ; COMMUNITY ; SYSTEM ; LAKE ; USA |
| 资助项目 | National Natural Science Foundation of China[41271005] ; National Natural Science Foundation of China[51509222] ; National Natural Science Foundation of China[51279183] ; National Natural Science Foundation of China[U1304509] ; Major Program of National Social Science Fund of China[12ZD215] ; Program for Innovative Research Team (in Science and Technology) at the University of Henan Province[13IRTSTHN030] ; North China University of Water Resources and Electric Power[40499] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000415638000030 |
| 出版者 | IWA PUBLISHING |
| 资助机构 | National Natural Science Foundation of China ; Major Program of National Social Science Fund of China ; Program for Innovative Research Team (in Science and Technology) at the University of Henan Province ; North China University of Water Resources and Electric Power |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56705]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zuo, Qi-ting |
| 作者单位 | 1.North China Univ Water Resources & Elect Power, Sch Water Conservancy, Zhengzhou 450045, Henan, Peoples R China 2.Zhengzhou Univ, Sch Water Conservancy & Environm, 100 Sci Rd, Zhengzhou 450001, Henan, Peoples R China 3.Zhengzhou Univ, Ctr Water Sci Res, 100 Sci Rd, Zhengzhou 450001, Henan, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Hao,Zuo, Qi-ting,Zhang, Yong-yong. Preliminary results of water quality assessment using phytoplankton and physicochemical approaches in the Huai River Basin, China[J]. WATER SCIENCE AND TECHNOLOGY,2017,76(9):2554-2564. |
| APA | Chen, Hao,Zuo, Qi-ting,&Zhang, Yong-yong.(2017).Preliminary results of water quality assessment using phytoplankton and physicochemical approaches in the Huai River Basin, China.WATER SCIENCE AND TECHNOLOGY,76(9),2554-2564. |
| MLA | Chen, Hao,et al."Preliminary results of water quality assessment using phytoplankton and physicochemical approaches in the Huai River Basin, China".WATER SCIENCE AND TECHNOLOGY 76.9(2017):2554-2564. |
入库方式： OAI收割
来源：地理科学与资源研究所
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