A robust statistical analysis approach for pollutant loadings in urban rivers

Journal of Environmental Informatics

Volumn 16, Issue 1, 2010, Pages 35-42

  Ping, J ^b   Chen, Y ^b   Chen, B ^a,b   Howboldt, K ^b  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Bootstrapping method; Interval analysis; Multiply censored data analysis; Pollutant loadings; Trend analysis; Two way ANOVA analysis

Indexed keywords

ADAPTIVE RADIATION; BOOTSTRAPPING; CONCENTRATION (COMPOSITION); DATA SET; ECONOMIC DEVELOPMENT; FEASIBILITY STUDY; HUMAN ACTIVITY; LEAD; RIVER POLLUTION; STATISTICAL ANALYSIS; SURFACE WATER; TREND ANALYSIS; URBAN AREA; URBANIZATION; VARIANCE ANALYSIS; WATER MANAGEMENT; WATER QUALITY; WATER RESOURCE;

CANADA;

EID: 78049453427     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.201000176     Document Type: Article

References (26)

1. Ahmed, A.L.M., Sulaiman, W.N., Osman, M.M., Saeed, E.M., and Mohammed Y.A. (2000). Groundwater quality in Khartoum state, Sudan, J. Environ. Hydrol., 8, 12.
2. Awuah, E., Nyarko, K.B., Owusu, P.A., and Osei-Bonsu, K. (2009). Small town water quality, Desalination, 248, 453-459, doi:10.10 16/ j.desal.2008.05.087.
3. BRAGA (2001). Integrated Urban Water Resources Management: A Challenge into the 21st Century, Water Resour. Dev., 17(4), 581-599, doi:10.1080/07900620120094127.
4. Buelna, G., and Riffat, R. (2007) Preliminary Environmental Monitoring of Water Quality in the Rio Grande in the Laredo-Nuevo Laredo Region, J. Environ. Sci. Health, 24(10), 1379-1390, doi:10.1080/10934520701480383.
5. Canter and Maness (1995). Ground water contaminants and their sources, Int. J. Environ. Stud., 47, 1-17, doi:10.1080/00207239508 710938.
6. Chen, B. (2008) Health-impact risk assessment for river pollution through a modified contaminant transport model. Water Air Soil Poll., 200(1-4): 323-339.
7. Davison, A.C., and Hinkley, D. (2006). Bootstrap Methods and their Application (8th printing). Cambridge: Cambridge Series in Statistical and Probabilistic Mathematics.
8. D'Vera C. (2005). Investigating Washington, D.C.'s Water Quality. Nieman Reports, 59(1), 22-23.
9. EPA (2010). Pb in Drinking Water. Retrieved April 1st 2010 from http://www.epa.gov/safewater/lead/.
10. Environmental Canada (2008). Wastewater Pollution. Retrieved April 1st 2010 from http://www.ec.gc.ca/water/en/manage/poll/e_pro-blm. htm
11. Helsel, D.R., and Hirsch, R.M. (2002). Statistical Methods in Water resources, Techniques of Water Resources Investigations, Book 4, chapter A3.
12. Hirsch, R.M., and Stedinger, J.R. (1987). Plotting positions for historical floods and their precision, Water Resour. Res., 23(4), 715-727, doi:10.1029/WR023i004p00715.
13. Jin, G., Eilts, K., Kelley, T.R., and Webb, J.W. (2009). Preliminary water quality assessment of Spunky Bottoms restored wetland, J. Environ. Sci. Health, 44, 235-243, doi:10.1080/1093452080259777.
14. Li, P., Chen, B., and Husain, T. (2010). IRFAM: an integrated rulebased neural fuzzy classification system for watershed modeling. J Hydrol Eng. ASCE, doi:10.1061/(ASCE)HE.1943-5584.0000 285.
15. Montgomeryand, J.A., and Eames, M. (2008). Prairie Wolf Slough Wetlands Demonstration Project: A Case Study Illustrating the Need for Incorporating Soil and Water Quality Assessment in Wet-land Restoration Planning, Design and Monitoring, Restoration Ecology, 16(4), 618-628, doi:10.11 11/j.1526-100X.2008. 00492.x
16. Mann, H.B., and Whitney, D.R. (1947). On a test of whether one of two random variables is stochastically larger than the other, Ann. Math. Stat., 18, 50-60, doi:10.1214/aoms/1177730491.
17. McLeod, A.I., Hipel, K.W., and Bodo, B.A. (1990). Trend analysis methodology for water quality time series, Environmetrics, 2, 169-200, doi:10.1002/env.3770020205.
18. Mkandawire, T., and Banda, E. (2009). Assessment of drinking water quality of Mtopwa village in Bangwe Township, Blantyre, Desalination, 248:557-561, doi:10.1016/j.desal.2008. 05.101.
19. Ipeaiyeda, A.R., and Onianwa, P.C. (2009). Impact of brewery effluent on water quality of the Olosun river in Ibadan, Nigeria, Chemistry and Ecology, 25(3), 189-204, doi:10.1080/0275754 0902970314
20. Pedusaar, T., Sammalkorpi, I., Hautala, A., Salujõe, J., Järvalt, A., and Pihlak, M. (2010). Shifts in water quality in a drinking water reservoir during and after the removal of cyprinids, Hydrobiologia, 649(1), 95-106, doi:10.1007/s10750-010-0231 -x.
21. Qin, X.S., Huang, G.H., Chen, B., and Zhang, B.Y. (2009). An interval-parameter waste-load-allocation model for river water quality management under uncertainty, Environ. Manage, 43(6): 999-1012.
22. Smithson, M. (2003). Confidence intervals. Quantitative Applications in the Social Sciences Series, No. 140. Belmont, CA: SAGE Publications. ISBN 9780761924999.
23. Town of Markham (2009). Annual Regulatory Water Quality Report. Retrieved April 1st 2010 from http://www.markham.ca/NR/ rdonlyres/8E0A6DDB-EC69-4CB2-8441-62EA8E41B438/0/waterqualityreport_MOE2009.pdf
24. Town of Newmarket (2009). Annual Water Quality Report. Retrieved April 1st 2010 from http://www.newmarket.ca/en/townhall/ resource-library/2009AnnualWaterReport.pdf
25. Warner, N.R., Levy, J., Harpp, K., and Farruggia, F. (2007). Drinking water quality in Nepal's Kathmandu Valley: a survey and assessment of selected controlling site characteristics, Hyd. J., 16: 321-334, doi:10.1007/s10040-007-0238-1.
26. Wilcoxon, F. (1945). Individual comparisons by ranking methods, Biometrics Bulletin, 1, 80-83, doi:10.2307/3001968.