A multivariate analysis of the spatial variations of water quality during high-flow period in the Chaobai River (Beijing, China) restored by reclaimed water
文献类型：期刊论文
| 作者 | Zhao, Rui1,2,3; Bu, Hongmei1,2 ; Song, Xianfang1,2,3; Zhang, Yinghua1,2
|
| 刊名 | WATER SUPPLY
 |
| 出版日期 | 2021-03-25 |
| 页码 | 12 |
| 关键词 | cluster analysis principal component analysis reclaimed water the Chaobai River water quality |
| ISSN号 | 1606-9749 |
| DOI | 10.2166/ws.2021.088 |
| 通讯作者 | Bu, Hongmei(buhm@igsnrr.ac.cn) |
| 英文摘要 | Reclaimed water has demonstrated its broad applications in social construction to alleviate the contradiction of water shortage in Beijing, China. Using multivariate statistical analysis, the current study investigated the spatial variations of water quality in the Chaobai River restored by reclaimed water during the high-flow period. Hierarchical cluster analysis (CA) classified the 11 sampling sites into four clusters, namely most polluted, highly polluted, moderately polluted, and lowly polluted sections. The Kruskal-Wallis test showed that pH, TDS, EC, Ca2+, Mg2+, Cl-, SO42-, NO3--N, and TN had significant spatial differences among four clusters (p < 0.05). Mean value of total nitrogen (TN) in the most polluted exceeded the guideline (15 mg/L) of the Water Quality Standard for Scenic Environment Use, reaching 22.3 mg/L. Principal component analysis (PCA) extracted three principal components (PCs) accounting for 81.5% of the total variance in the data set of water quality. Three PCs reflected the chemical characteristics of reclaimed water, mineral pollution, and nutrient pollution, respectively. With the ordination biplot of sampling sites defined by the first and second PCs, PCA provided a classification of sampling sites based on the similarity of pollution sources, which supported the results of CA. The results revealed that water quality of the Chaobai River restored by reclaimed water was affected by untreated domestic and agricultural sewage with nitrogen and minerals being the main pollutants along the river basin. This study showed rivers restored by reclaimed water had significant spatial variations of water quality, demonstrating effectiveness of multivariate statistical methods on water quality analysis. |
| WOS关键词 | PATTERN-RECOGNITION TECHNIQUES ; TEMPORAL VARIATIONS ; PONDS |
| 资助项目 | Beijing Natural Science Foundation[8172044] ; National Natural Science Foundation of China[41730749] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000634637000001 |
| 出版者 | IWA PUBLISHING |
| 资助机构 | Beijing Natural Science Foundation ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161932]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Bu, Hongmei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Rui,Bu, Hongmei,Song, Xianfang,et al. A multivariate analysis of the spatial variations of water quality during high-flow period in the Chaobai River (Beijing, China) restored by reclaimed water[J]. WATER SUPPLY,2021:12. |
| APA | Zhao, Rui,Bu, Hongmei,Song, Xianfang,&Zhang, Yinghua.(2021).A multivariate analysis of the spatial variations of water quality during high-flow period in the Chaobai River (Beijing, China) restored by reclaimed water.WATER SUPPLY,12. |
| MLA | Zhao, Rui,et al."A multivariate analysis of the spatial variations of water quality during high-flow period in the Chaobai River (Beijing, China) restored by reclaimed water".WATER SUPPLY (2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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