Analysis of Chemometrics Date and Apportionment of Pollution Sources of Urban Rivers from Northeast China a Case from Baitapu River
- DOI
- 10.2991/icseee-16.2016.134How to use a DOI?
- Keywords
- Urban river; Spatial/temporal distribution; Principal component analysis (PCA); Source identification
- Abstract
Baitapu River is an important tributary of Hun River and a typical city river in northeast China. Analysis of cheometrics date of water quality and environmental heterogeneity was used in 17 monitoring sites consisted of 12 water-quality parameters from 2012 to 2013. Spatial and temporal variations in water quality were assessed and pollution sources were identified which aimed to offer foundations to comprehensive treatment and the construction of water environment ecosystem for this kind of rivers in northeast China. Results of these monitoring indicators show that two segments is classified by spatial distribution, temporal distribution and Nemerow index: including upstream minor polluted segment in rural areas and downstream moderate polluted segment in urban areas. The main pollution of Baitapu River are TN, NH3-N, COD, TOC, TP, and chlorophyll a (Chl-a) based on principal component analysis (PCA). The upstream are mainly polluted by agricultural non-point pollution while the downstream are mainly contaminated by industrial wastewater and domestic sewage.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bingfei Yan AU - Peng Jianfeng PY - 2016/12 DA - 2016/12 TI - Analysis of Chemometrics Date and Apportionment of Pollution Sources of Urban Rivers from Northeast China a Case from Baitapu River BT - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016) PB - Atlantis Press SP - 740 EP - 747 SN - 2352-5401 UR - https://doi.org/10.2991/icseee-16.2016.134 DO - 10.2991/icseee-16.2016.134 ID - Yan2016/12 ER -