Analysis of the temporal and spatial distribution of water quality in China’s major river basins, and trends between 2005 and 2010
Jinjian LI, Xiaojie MENG, Yan ZHANG, Juan LI, Linlin XIA, Hongmei ZHENG
Analysis of the temporal and spatial distribution of water quality in China’s major river basins, and trends between 2005 and 2010
In this study, based on environmental quality monitoring data on 22 pollutants from 490 control sections, we analyzed the spatial distribution and temporal changes of water quality in ten Chinese river basins (watersheds) to reveal the trends from 2005 to 2010. We used a comprehensive water pollution index (WPI) and the proportions of this index accounted for by the three major pollutants to analyze how economic development has influenced water quality. Higher values of the index represent more serious pollution. We found that WPI was much higher for the Hai River Basin (1.83 to 5.60 times the averages in other regions). In the Yangtze River Basin, WPI increased from upstream to downstream. The indices of some provinces toward the middle of a basin, such as Hebei Province in the Hai River Basin, Shanxi Province in the Yellow River Basin, and Anhui Province in the Huai River Basin, were higher than those of upstream and downstream provinces. In the Songhua, Liao, and Southeast river basins, WPI decreased during the study period: in 2010, it decreased by 33.9%, 44.3%, and 67.2%, respectively, compared with the 2005 value. In the Pearl River, Southwest, and Inland river basins, WPI increased by 23.1%, 47.7%, and 38.5% in 2010, compared with 2005. A comparison of WPI with the GDP of each province showed that the water pollution generated by economic development was lightest in northwestern, southwestern, and northeastern China, and highest in central and eastern China, and that the water environment in some coastal regions were improving. However, some provinces (e.g., Shanxi Province) were seriously polluted.
water environment / temporal changes / spatial distribution / comprehensive water pollution index / China / river basins
[1] |
Bhaduri B, Minner M, Tatalovich S, Harbor J (2001). Long-term hydrologic impact of urbanization: a tale of two models. J Water Resour Plan Manage, 127(1): 13–19
CrossRef
Google scholar
|
[2] |
Bo Y, Liu C L, Jiao P C, Chen Y Z, Cao Y T (2013). Hydrochemical characteristics and controlling factors for waters’ chemical composition in the Tarim Basin, Western China. Chemie der Erde- Geochemistry, 73(3): 343–356
|
[3] |
Bouza-Deaño R, Ternero-Rodríguez M, Fernández-Espinosa A J (2008). Trend study and assessment of surface water quality in the Ebro River (Spain). J Hydrol (Amst), 361(3–4): 227–239
CrossRef
Google scholar
|
[4] |
Chang N B (2005). Sustainable water resources management under uncertainty. Stochastic Environ Res Risk Assess, 19(2): 97–98
CrossRef
Google scholar
|
[5] |
Chang N B, Chen H W, Ning S K (2001). Identification of river water quality using the fuzzy synthetic evaluation approach. J Environ Manage, 63(3): 293–305
CrossRef
Google scholar
|
[6] |
Chen X J, Zhao X L, Pan X J, Zou X, Hu L, Zhang Z Y, Feng K, Zheng Z W, Peng J H, Wan C Y (2012). Studies on the temporal and spatial variation of water environment in Xiaojiang Backwater Region of Three Gorges Reservoir. Journal of Hydroecology, 33(6): 1–6 (in Chinese)
|
[7] |
Cheng Y Q, Ma H M, Song Q W, Zhang Y (2011). Assessment of water quality using grey relational analysis and principal component analysis. Advanced Materials Res, 255–260: 2829–2835
CrossRef
Google scholar
|
[8] |
Fan X Y, Cui B S, Zhao H, Zhang Z M, Zhang H G (2010). Assessment of river water quality in Pearl River Delta using multivariate statistical techniques. Procedia Environmental Sciences, 2: 1220–1234
CrossRef
Google scholar
|
[9] |
Jonnalagadda S B, Mhere G (2001). Water quality of Odzi River in the eastern highlands of Zimbabwe. Water Res, 35(10): 2371–2376
CrossRef
Google scholar
|
[10] |
Kazi T G, Arain M B, Jamali M K, Jalbani N, Afridi H I, Sarfraz R A, Baig J A, Shah A Q (2009). Assessment of water quality of polluted lake using multivariate statistical techniques: a case study. Ecotoxicol Environ Saf, 72(2): 301–309
CrossRef
Google scholar
|
[11] |
Kolovos A, Christakos G, Serre M L, Miller C T (2002). Computational Bayesian maximum entropy solution of a stochastic advection-reaction equation in the light of site-specific information. Water Resour Res, 38(12): 54-1–54-17
CrossRef
Google scholar
|
[12] |
Li G C, Xia X H, Yang Z F, Wang R, Voulvoulis N (2006). Distribution and sources of polycyclic aromatic hydrocarbons in the middle and lower reaches of the Yellow River, China. Environ Pollut, 144(3): 985–993
CrossRef
Google scholar
|
[13] |
Li Z W, Zhang Q, Fang Y, Yang X C, Yuan Q S (2010). Examining social-economic factors in spatial and temporal change of water quality in red soil hilly region of South China: a case study in Hunan Province. Int J Environ Pollut, 42(1/2/3): 184
CrossRef
Google scholar
|
[14] |
Liang D H, Jiang H H (2002). Unifying and improving the comprehensive assessment methods of river water quality. Environmental Monitoring in China, 18(2): 63–66in Chinese)
CrossRef
Google scholar
|
[15] |
Liu D J, Zou Z H (2012). Water quality evaluation based on improved fuzzy matter-element method. J Environ Sci, 24(7): 1210–1216
CrossRef
Google scholar
|
[16] |
Liu T P (1997). General Environmental Science. Beijing: Higher Education Press (in Chinese)
|
[17] |
Liu X B, Li G F, Liu Z G, Guo W H, Gao N Y (2010). Water pollution characteristics and assessment of lower reaches in Haihe River Basin. Procedia Environmental Sciences, 2: 199–206
CrossRef
Google scholar
|
[18] |
Omo-Irabor O O, Olobaniyi S B, Oduyemi K, Akunna J (2008). Surface and ground water quality assessment using multivariate analytical methods: a case study of the Western Niger Delta, Nigeria. Phys Chem Earth, 33(8–13): 663–673
CrossRef
Google scholar
|
[19] |
Ouyang Y (2005). Evaluation of river water quality monitoring stations by principal component analysis. Water Res, 39(12): 2621–2635
CrossRef
Google scholar
|
[20] |
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 Modell, 178(3–4): 295–311
CrossRef
Google scholar
|
[21] |
Pesce S F, Wunderlin D A (2000). Use of water quality indices to verify the impact of Cordoba City (Argentina) on Suquia River. Water Res, 34(11): 2915–2926
CrossRef
Google scholar
|
[22] |
Popovicova J (2008). Water quality assessment of Prairie Creek Reservoir in Delaware County, Indiana. Proc Indiana Acad Sci, 117(2): 124–135
|
[23] |
Ren W, Zhong Y, Meligrana J, Anderson B, Watt W E, Chen J, Leung H L (2003). Urbanization, land use, and water quality in Shanghai: 1947–1996. Environ Int, 29(5): 649–659
CrossRef
Google scholar
|
[24] |
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
CrossRef
Google scholar
|
[25] |
Su S L, Li D, Zhang Q, Xiao R, Huang F, Wu J P (2011). Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China. Water Res, 45(4): 1781–1795
CrossRef
Google scholar
|
[26] |
Wang H Y (2002). Assessment and prediction of overall environmental quality of Zhuzhou City, Hunan Province, China. J Environ Manage, 66(3): 329–340
CrossRef
Google scholar
|
[27] |
Wang J Y, Da L J, Song K, Li B L (2008). Temporal variations of surface water quality in urban, suburban and rural areas during rapid urbanization in Shanghai, China. Environ Pollut, 152(2): 387–393
CrossRef
Google scholar
|
[28] |
Wang L, Ying G Z, Chen F, Zhang L J, Zhao J L, Lai H J, Chen Z F, Tao R (2012a). Monitoring of selected estrogenic compounds and estrogenic activity in surface water and sediment of the Yellow River in China using combined chemical and biological tools. Environ Pollut, 165: 241–249
CrossRef
Google scholar
|
[29] |
Wang T Y, Khim J S, Chen C L, Naile J E, Lu Y L, Kannan K, Park J, Luo W, Jiao W, Hu W, Giesy J P (2012b). Perfluorinated compounds in surface waters from Northern China: comparison to level of industrialization. Environ Int, 42: 37–46
CrossRef
Google scholar
|
[30] |
Wayland R H III (2001). Integrated Water Quality Monitoring and Assessment Report Guidance. Washington: U.S. Environmental Protection Agency.
|
[31] |
Wu M L, Wang Y S, Sun C C, Wang H L, Dong J D, Yin J P, Han S H (2010). Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea. Mar Pollut Bull, 60(6): 852–860
CrossRef
Google scholar
|
[32] |
Xian G, Crane M, Su J S (2007). An analysis of urban development and its environmental impact on the Tampa Bay watershed. J Environ Manage, 85(4): 965–976
CrossRef
Google scholar
|
[33] |
Yu W T, Jiang C M, Ma Q, Xu Y G, Zou H, Zhang S C (2011). Observation of the nitrogen deposition in the lower Liaohe River Plain, Northeast China and assessing its ecological risk. Atmos Res, 101(1–2): 460–468
CrossRef
Google scholar
|
[34] |
Yun Y, Zou Z H, Feng W, Ru M (2009). Quantificational analysis on progress of river water quality in China. J Environ Sci (China), 21(6): 770–773
CrossRef
Google scholar
|
[35] |
Zhang Z L, Hong H S, Zhou J L, Huang J, Yu G (2003). Fate and assessment of persistent organic pollutants in water and sediment from Minjiang River Estuary, Southeast China. Chemosphere, 52(9): 1423–1430
CrossRef
Google scholar
|
/
〈 | 〉 |