Temporal-spatial variation of surface water affected by apatite mining activity in Lao Cai, Viet Nam
- Authors: Cuc Thi Nguyen 1, 2*, Hoa Mai Thi Phan 1, Phuong Nguyen 1, Phi Quoc Nguyen 1, Hoa Anh Nguyen 1, Hoang Anh Le 3
- Organ:1 Environment Faculty, Ha Noi University of mining and geology, Vietnam
2 Post graduate of Faculty of Environmental Sciences, VNU University of Science, Vietnam
3 VNU University of Science, Vietnam
- Keywords: Apatit, CPA, CA, Parameters, Surface water quality.
- Received: 15th-Aug-2020
- Accepted: 16th-Dec-2020
- Available online: 31st-Dec-2020
- Field: Environment
Apatite ore mining and processing is one of the main mineral activities of Lao Cai province. According to the annual environmental monitoring results, most of the rivers and streams flowing through apatite mining and processing areas such as: O, Ngoi Dum, Ngoi Duong, Dong Ho and Coc streams are all polluted by content of COD, BOD5, TSS, N?2−, N?4+, N?3−. The concentration of parameters as COD, BOD5, N?3−, N?2−, N?4+, tends to increase over the years. Streams near the mining areas such as Ngoi Duong, Dong Ho, Chu O, Coc streams were mainly polluted by COD, BOD5, TSS, N?3−. Streams in the ore processing area at Tang Loong such as Trat, Cam Duong, Khe Chom streams,... were mainly polluted by N?4+, NO2- and some heavy metals like as Cu, Fe. The results of cluster analysis showed that basically the quality of stream water in the ore mining and processing area is divided into 4 groups: heavy pollution, medium pollution, light pollution and no pollution. In particular, heavy polluted streams flow through apatite mining areas such as Ngoi Duong, Ngoi Dum and Chu O. The results of PCA show changes in the distribution of environmental quality parameters in major components by years.In particular, the parameters that contain high information values include COD, BOD5¸ N?3−, N?2− , Cu and Fe. The source of pollution is related to domestic wastewater at apatite mining and processing areas.
. Environmental Monitoring Center of Lao Cai, 2018. Annual environmental monitoring reports 2015, 2016, 2018, apatite mine Lao Cai.
. Liu C-W, Lin K-H, Kuo Y-M (2003) Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Sci Total Environ 313(1–3):77–89. doi:10.1016/S0048-9697(02)00683-6.
. Nguyen Hai Au, Phan Thi Khanh Ngan, Hoang Thi Thanh Thuy, Phan Nguyen Hong Ngoc, 2017. Application of multivariate statistical analysis in the assessment of groundwater quality of Tan Thanh district, Ba Ria – Vung Tau province. Science & Technology development, vol 20, no.m2-2017.
. Olsen RL, Chappell RW, Loftis JC (2012) Water quality sample collection, data treatment and results presentation for principal components analysis-literature review and Illinois River watershed case study. Water Res 46(9):3110–3122. doi:10.1016/j.watres.2012.03.028.
. Parinet B, Lhote A, Legube B (2004) Principal component analysis: an appropriate tool for water quality evaluation and management-application to a tropical lake system. Ecol Model 178(3–4):295–311. doi:10.1016/j.ecolmodel.2004.03.007.
. Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan. Environ Model Softw 22(4):464–475. doi:10.1016/j.envsoft.2006.02.001.
. Thi Thu Huyen Le, Stephanie Zeunert, Malte Lorenz, Günter Meon (2017). Multivariate statistical assessment of a polluted river under nitrification inhibition in the tropics. Environ Sci Pollut Res DOI 10.1007/s11356-017-8989-2.
. Wang Y, Wang P, Bai Y, Tian Z, Li J, Shao X, Mustavich LF, Li B-L (2013) Assessment of surface water quality via multivariate statistical techniques: a case study of the Songhua River Harbin region, China. J Hydro Environ Res 7(1):30–40. doi:10.1016/j.jher.2012. 10.003.