The spatial-temporal pattern and source apportionment of water pollution in a trans-urban river

• Autorzy: Zhang Q. , Wang X. , Wan W. , Hou P. , Li R. , Ouyang Z.
• Języki publikacji: EN

Abstrakty

EN

Deteriorating water quality in urban areas has drawn wide interest in China. In our study, water quality was monitored monthly during December 2009-November 2011 from 16 sites located in a trans-urban river. The spatial pattern showed that the concentrations of EC, Ca²⁺, Mg²⁺, BOD₅, CODcr, TP, and NH₄⁺-N were higher midstream and downstream than upstream, while measured pH and DO upstream were higher than measurements midstream and downstream. The temporal pattern showed that the concentrations of EC, TP, BOD₅, NH₄⁺-N, Mg²⁺, and Ca²⁺ in the wet season were lower than in the dry season, while the concentrations of CODcr in the wet season were higher than in the dry season. Receptor-based source apportionment revealed that most of the variables were influenced by domestic sewage, cropland, and woodland runoff pollution. Therefore, the best method to prevent water quality degradation is to manage the domestic sewage, cropland, and woodland runoff.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2015
• Tom: 24
• Numer: 2
• Opis fizyczny: p.841-851,fig.,ref.

Twórcy

autor

Zhang Q.

• Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Science, Shijiazhuang, 050061, China
• State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

autor

Wang X.

• State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

autor

Wan W.

• State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
• College of Life Science, Hebei Normal University, Shijiazhuang 050016, China

autor

Hou P.

• Asia-Pacific Institute of Construction Scitech Information, Beijing 100120, China

autor

Li R.

• State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

autor

Ouyang Z.

• State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

Bibliografia

• 1. AGCA N., ÖDEMIS B., YALCIN M., Spatial and temporal variations of water quality parameters in Orontes River (Hatay, Turkey). Fresenius Environ. Bull, 18 (4), 456-460, 2009.
• 2. ZHANG Y., GUO F., MENG W., WANG X Q., Water quality assessment and source identification of Daliao river basin using multivariate statistical methods. Environ. Monit. Assess., 152 (1), 105-121, 2009b.
• 3. ZHOU F., GUO H., LIU Y., JIANG Y., Chemometrics data analysis of marine water quality and source identification in Southern Hong Kong. Mar. Pollut. Bull., 54 (6), 745-756, 2007.
• 4. ZHOU F., HUANG G.H., GUO H., ZHANG W., HAO Z. Spatio-temporal patterns and source apportionment of coastal water pollution in eastern Hong Kong. Water Res., 41 (15), 3429-3439, 2007.
• 5. OUYANG Y., NKEDI-KIZZA P., WU Q., SHINDE D., HUANG C., Assessment of seasonal variations in surface water quality. Water Res., 40 (20), 3800, 2006.
• 6. SIMEONOV V., STRATIS J., SAMARA C., ZACHARIADIS G., VOUTSA D., ANTHEMIDIS A., SOFONIOU M., KOUIMTZIS T., Assessment of the surface water quality in Northern Greece. Water Res., 37 (17), 4119-4124, 2003.
• 7. SU S., LI D., ZHANG Q., XIAO R., HUANG F., WU J., Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China. Water Res., 45(4), 1781-1795, 2011.
• 8. HUANG F., WANG X., LOU L., ZHOU Z., WU J., Spatial variation and source apportionment of water pollution in Qiantang River (China) using statistical techniques. Water Res., 44 (5), 1562-1572, 2010.
• 9. HUANG J., HO M., DU P., Assessment of temporal and spatial variation of coastal water quality and source identification along Macau peninsula. Stoch. Env. Res. Risk A., 25 (3), 353-361, 2011.
• 10. YESILIRMAK E., Seasonal and spatial variations of water quality for irrigation in buyuk menderes river, Turkey. Fresenius Environmental Bull, 19 (12A), 3073-3080, 2010.
• 11. Methods of Monitoring and Analysis for Water and Wastewater, State Environment Protection Agency of China (SEPAC). China Environmental Science Press, Beijing, Chinese. 4th Ed, 2002.
• 12. KANNEL P.R., LEE S., KANEL S.R., KHAN S.P., Chemometric application in classification and assessment of monitoring locations of an urban river system. Anal. Chim. Acta, 582 (2), 390-399, 2007.
• 13. MCGARIGAL K., CUSHMAN S., STAFFORD S., Multivariate statistics for wildlife and ecology research. Springer New York, 2000.
• 14. SHRESTHA S., KAZAMA F., Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environ. Modell. Softw., 22 (4), 464-475, 2007.
• 15. YU S., SHANG J., ZHAO J., GUO H., Factor analysis and dynamics of water quality of the Songhua River, Northeast China. Water Air Soil Poll., 144 (1), 159-169, 2003.
• 16. ZHANG C., WU L., LUO Y., ZHANG H., CHRISTIE P., Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: role of pollutant migration and soil physicochemical properties. Environ. Pollut., 151 (3), 470-476, 2008.
• 17. HELENA B., PARDO R., VEGA M., BARRADO E., FERNANDEZ J.M., FERNANDEZ L., Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water Res., 34 (3), 807-816, 2000.
• 18. PEKEY H., KARAKAŞ D., BAKOGLU M., Source apportionment of trace metals in surface waters of a polluted stream using multivariate statistical analyses. Mar. Pollut. Bull., 49 (9), 809-818, 2004.
• 19. LIU C.W., LIN K.H., KUO Y.M., Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Sci. Total Environ., 313 (1), 77-89, 2003.
• 20. Environmental Quality Standards for Surface Watet (GB3838-2002), State Environment Protection Agency of China (SEPAC). China Environmental Science Press, Beijing, Chinese. 2002.
• 21. SUTHAR S., SHARMA J., CHABUKDHARA M., NEMA A.K., Water quality assessment of river Hindon at Ghaziabad, India: impact of industrial and urban wastewater. Environ. Monit. Assess., 165 (1), 103-112, 2010.
• 22. ZHOU F., LIU Y., GUO H., Application of multivariate statistical methods to water quality assessment of the watercourses in Northwestern New Territories, Hong Kong. Environ. Monit. Assess., 132 (1), 1-13, 2007.
• 23. ALMEIDA M., BUTLER D., FRIEDLER E., At-source domestic wastewater quality. Urban Water, 1 (1), 49-55, 1999.
• 24. SINGH K P., MALIK A., SINHA S., Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques - a case study. Anal. Chim. Acta, 538 (1), 355-374, 2005.
• 25. NESTLER A., BERGLUND M., ACCOE F., DUTA S., XUE D., BOECKX P., TAYLOR P., Isotopes for improved management of nitrate pollution in aqueous resources: review of surface water field studies. Environ. Sci. Pollut. R., 18 (4), 519-533, 2011.
• 26. ZHANG Q., LI Z., ZENG G., LI J., FANG Y., YUAN Q., WANG Y., YE F., Assessment of surface water quality using multivariate statistical techniques in red soil hilly region: a case study of Xiangjiang watershed, China. Environ. Monit. Assess., 152 (1), 123-131, 2009.
• 27. SINGH K.P., MALIK A., MOHAN D., SINHA S., Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India): A case study. Water Res., 38 (18), 3980-3992, 2004.
• 28. BOYLE T.P., FRALEIGH H.D., Natural and anthropogenic factors affecting the structure of the benthic macroinvertebrate community in an effluent-dominated reach of the Santa Cruz River, AZ. Ecological Indicators, 3 (2), 93-117, 2003.
• 29. KIRCHNER J.W., FENG X., NEAL C., Fractal stream chemistry and its implications for contaminant transport in catchments. Nature, 403 (6769), 524-527, 2000.
• 30. BOYACIOGLU H., BOYACIOGLU H., Water pollution sources assessment by multivariate statistical methods in the Tahtali Basin, Turkey. Environ. Geol., 54 (2), 275-282, 2008.
• 31. VAROL M., SEN B., Assessment of surface water quality using multivariate statistical techniques: a case study of Behrimaz Stream, Turkey. Environ. Monit. Assess., 159 (1), 543-553, 2009.
• 32. VAROL M., GÖKOT B., BEKLEYEN A., SEN B., Spatial and temporal variations in surface water quality of the dam reservoirs in the Tigris River basin, Turkey. Catena, 92, 11-21, 2012.
• 33. JARVIE H., HAYGARTH P., NEAL C., BUTLER P., SMITH B., NADEN P., JOYNES A., NEAL M., WICKHAM H., ARMSTRONG L., Stream water chemistry and quality along an upland - lowland rural land-use continuum, south west England. J. Hydrol., 350 (3), 215-231, 2008.
• 34. KEPNER W.G., SEMMENS D.J., BASSETT S.D., MOUAT D.A., GOODRICH D.C., Scenario analysis for the San Pedro River, analyzing hydrological consequences of a future environment. Environ. Monit. Assess., 94 (1), 115-127, 2004.
• 35. REN Y.F., WANG X.K., OUYANG Z.Y., ZHENG H., DUAN X.N., MIAO H., Stormwater runoff quality from different surfaces in an urban catchment in Beijing, China. Water Environ. Res., 80 (8), 719-724, 2008.
• 36. KANNEL P.R., LEE S., LEE Y.S., Assessment of spatial-temporal patterns of surface and ground water qualities and factors influencing management strategy of groundwater system in an urban river corridor of Nepal. J. Environ. Manage., 86 (4), 595-604, 2008.
• 37. BU H., TAN X., LI S., ZHANG Q., Temporal and spatial variations of water quality in the Jinshui River of the South Qinling Mts, China. Ecotox. Environ. Safe., 73 (5), 907-913, 2010.
• 38. KOWALKOWSKI T., ZBYTNIEWSKI R., SZPEJNA J., BUSZEWSKI B., Application of chemometrics in river water classification. Water Res., 40 (4), 744-752, 2006.
• 39. FELIPE-SOTELO M., ANDRADE J., CARLOSENA A., TAULER R., Temporal characterisation of river waters in urban and semi-urban areas using physico-chemical parameters and chemometric methods. Anal. Chim. Acta, 583 (1), 128-137, 2007.
• 40. SU S., ZHI J., LOU L., HUANG F., CHEN X., WU J., Spatio-temporal patterns and source apportionment of pollution in Qiantang River (China) using neural-based modeling and multivariate statistical techniques. Physics and Chemistry of the Earth, Parts A/B/C, 36 (9), 379-386, 2011.