Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques
文献类型：期刊论文
| 作者 | Liu,Jianfeng1,2; Zhang,Xiang1,2; Xia,Jun1,2; Wu,Shaofei1,2; She,Dunxian1,2; Zou,Lei1,2 |
| 刊名 | SpringerPlus
 |
| 出版日期 | 2016-07-26 |
| 卷号 | 5期号:1 |
| 关键词 | Water quality Trend Spatial autocorrelation Climate variables Land use Water quality management |
| ISSN号 | 2193-1801 |
| DOI | 10.1186/s40064-016-2815-z |
| 通讯作者 | Zhang,Xiang(zhangxiang@whu.edu.cn) |
| 英文摘要 | Abstract Assessing the spatio-temporal variations of surface water quality is important for water environment management. In this study, surface water samples are collected from 2008 to 2015 at 17 stations in the Ying River basin in China. The two pollutants i.e. chemical oxygen demand (COD) and ammonia nitrogen (NH3-N) are analyzed to characterize the river water quality. Cluster analysis and the seasonal Kendall test are used to detect the seasonal and inter-annual variations in the dataset, while the Moran’s index is utilized to understand the spatial autocorrelation of the variables. The influence of natural factors such as hydrological regime, water temperature and etc., and anthropogenic activities with respect to land use and pollutant load are considered as driving factors to understand the water quality evolution. The results of cluster analysis present three groups according to the similarity in seasonal pattern of water quality. The trend analysis indicates an improvement in water quality during the dry seasons at most of the stations. Further, the spatial autocorrelation of water quality shows great difference between the dry and wet seasons due to sluices and dams regulation and local nonpoint source pollution. The seasonal variation in water quality is found associated with the climatic factors (hydrological and biochemical processes) and flow regulation. The analysis of land use indicates a good explanation for spatial distribution and seasonality of COD at the sub-catchment scale. Our results suggest that an integrated water quality measures including city sewage treatment, agricultural diffuse pollution control as well as joint scientific operations of river projects is needed for an effective water quality management in the Ying River basin. |
| 语种 | 英语 |
| WOS记录号 | BMC:10.1186/S40064-016-2815-Z |
| 出版者 | Springer International Publishing |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/67816]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang,Xiang |
| 作者单位 | 1.Wuhan University; State Key Laboratory of Water Resources and Hydropower Engineering Science 2.Wuhan University; Hubei Provincial Collaborative Innovation Center for Water Resources Security |
| 推荐引用方式 GB/T 7714 | Liu,Jianfeng,Zhang,Xiang,Xia,Jun,et al. Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques[J]. SpringerPlus,2016,5(1). |
| APA | Liu,Jianfeng,Zhang,Xiang,Xia,Jun,Wu,Shaofei,She,Dunxian,&Zou,Lei.(2016).Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques.SpringerPlus,5(1). |
| MLA | Liu,Jianfeng,et al."Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques".SpringerPlus 5.1(2016). |
入库方式： OAI收割
来源：地理科学与资源研究所
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