globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0118590
论文题名:
Combined Multivariate Statistical Techniques, Water Pollution Index (WPI) and Daniel Trend Test Methods to Evaluate Temporal and Spatial Variations and Trends of Water Quality at Shanchong River in the Northwest Basin of Lake Fuxian, China
作者: Quan Wang; Xianhua Wu; Bin Zhao; Jie Qin; Tingchun Peng
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-4-2
卷: 10, 期:4
语种: 英语
英文关键词: Water pollution ; Rivers ; Water quality ; Lakes ; Pollution ; Fertilizers ; Surface water ; Erosion
英文摘要: Understanding spatial and temporal variations in river water quality and quantitatively evaluating the trend of changes are important in order to study and efficiently manage water resources. In this study, an analysis of Water Pollution Index (WPI), Daniel Trend Test, Cluster Analysis and Discriminant Analysis are applied as an integrated approach to quantitatively explore the spatial and temporal variations and the latent sources of water pollution in the Shanchong River basin, Northwest Basin of Lake Fuxian, China. We group all field surveys into 2 clusters (dry season and rainy season). Moreover, 14 sampling sites have been grouped into 3 clusters for the rainy season (highly polluted, moderately polluted and less polluted sites) and 2 clusters for the dry season (highly polluted and less polluted sites) based on their similarities and the level of pollution during the two seasons. The results show that the main trend of pollution was aggravated during the transition from the dry to the rainy season. The Water Pollution Index of Total Nitrogen is the highest of all pollution parameters, whereas the Chemical Oxygen Demand (Chromium) is the lowest. Our results also show that the main sources of pollution are farming activities alongside the Shanchong River, soil erosion and fish culture at Shanchong River reservoir area and domestic sewage from scattered rural residential area. Our results suggest that strategies to prevent water pollutionat the Shanchong River basin need to focus on non-point pollution control by employing appropriate fertilizer formulas in farming, and take the measures of soil and water conservation at Shanchong reservoir area, and purifying sewage from scattered villages.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0118590&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20209
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
journal.pone.0118590.PDF(2655KB)期刊论文作者接受稿开放获取View Download

作者单位: Yuxi Research Center for Eco-environmental Sciences on Plateau Lakes, Yuxi Normal University, Yuxi, Yunnan Province, P.R. China;Yuxi Research Center for Eco-environmental Sciences on Plateau Lakes, Yuxi Normal University, Yuxi, Yunnan Province, P.R. China;Yuxi Research Center for Eco-environmental Sciences on Plateau Lakes, Yuxi Normal University, Yuxi, Yunnan Province, P.R. China;Yuxi Research Center for Eco-environmental Sciences on Plateau Lakes, Yuxi Normal University, Yuxi, Yunnan Province, P.R. China;Yuxi Research Center for Eco-environmental Sciences on Plateau Lakes, Yuxi Normal University, Yuxi, Yunnan Province, P.R. China

Recommended Citation:
Quan Wang,Xianhua Wu,Bin Zhao,et al. Combined Multivariate Statistical Techniques, Water Pollution Index (WPI) and Daniel Trend Test Methods to Evaluate Temporal and Spatial Variations and Trends of Water Quality at Shanchong River in the Northwest Basin of Lake Fuxian, China[J]. PLOS ONE,2015-01-01,10(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Quan Wang]'s Articles
[Xianhua Wu]'s Articles
[Bin Zhao]'s Articles
百度学术
Similar articles in Baidu Scholar
[Quan Wang]'s Articles
[Xianhua Wu]'s Articles
[Bin Zhao]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Quan Wang]‘s Articles
[Xianhua Wu]‘s Articles
[Bin Zhao]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0118590.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.