Statistical Analysis of Trends in the Red River Over a 45 Year Period

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Chapter 6 Bibliography Antonopoulus, Vassilis; Papamichail, Dimitris M.; and Mitsiou, Konstantina; 2001 “Statistical and Trend Analysis of Water Quality and Quantity Data for the Strymon River in Greece”, Hydrology and Earth System Sciences,5(4) 679-691. Conover, W.J.,“Practical Nonparametric Statistics-Third Edition,” John Wiley & Sons, 1999. Eaton, Andrew D.; Lenore, Clescrei S.; Rice, Eugene W.; and Greenberg, Arnold E., 2005 Centennial Edition. “Prepared and published jointly by the American Public Health Association, the American Water Works Association, and the Water Environment Federation. Fritz, Charles; and Zhang, Haimeng., 2006, Red River of the North Water Quality: Nutrient and Ion Study Emerson - Fargo. International Joint Commission Contract Gilbert, R.O., Statistical Methods for Environmental Pollution Monitoring. Van Nostrand Reinhold Company, New York, NY. 320pp. Glozier, Nancy; Crosley, Robert; Mottle, Larry; and Donald, David., 2004 Water Quality Characteristics and Trends for Banff and Jasper National Parks: 1973-2002 Environmental Conservation Branch, Environment Canada. 44
Hamed, Khaled.,; 2008, Trend Detection in Hydrologic Data: The Mann-Kendall Trend Test Under the Scaling Hypothesis. Journal of Hydrology, 349, 350- 363. Helsel, D.R., 2005, Nondetects and data analysis Hoboken, New Jersey, John Wiley & Sons, Inc. Helsel, D.R., and Hirsch, R.M., 1992, Statistical Methods in Water Resources Elsevier, Amsterdam. Hirsch, Robert; Slack, James; and Smith, Richard., 1982, Techniques of Trend Analysis for Monthly Water Quality Data, Water Resources Research, Vol. 18, No. 1, pages 107-121. Hughes, C., 2009, An assessment of twenty-nine southern Manitoba rivers and streams using benthic macroinvertebrates and water chemistry (1995 to 2005). Water Science and Management Branch, Manitoba Water Stewardship, Winnipeg, MB. Jones, G. and Armstrong, N., 2001, Long-term trends in total nitrogen and total phosphorus concentrations in Manitoba streams, Water Quality Management Section, Water Branch, Manitoba Conservation, Report No. 2001-07, 154p. Kendall, M. G., 1938, A new measure of rank correlation, Biometrika, 30, 81–93. Kendall, M. G., 1975, Rank Correlation Methods, Charles Griffin, London. Ryberg, Karen R.; and Vecchia, Aldo., 2006, Water-Quality Trend Analysis and Sampling Design for the Devils Lake Basin, North Dakota, January 1965 through September 2003,U.S. Geological Survey Water Resources Investigations Report 2006-5238. Sen, P. K., 1968, Estimates of the Regression Coefficient Based on Kendall’s Tau, Journal of the American Statistical Association, 63, 1379-1389. 45
Page 1 and 2:
Statistical Analysis of Trends in t
Page 3 and 4:
5 Comparison of Non-Parametric and
Page 5 and 6:
List of Figures 1.1 The Red River B
Page 7 and 8:
A.8 Boxplot of Specific Conductance
Page 9 and 10:
A.41 Dissolved Calcium Flow Adjustm
Page 11 and 12: A.67 Dissolved Sulphate Flow Adjust
Page 13 and 14: A.93 Specific Conductance Flow Adju
Page 15 and 16: Mann-Kendall or Seasonal Mann-Kenda
Page 17 and 18: Using ancillary data, data obtained
Page 19 and 20: Chapter 1 Introduction The Red Rive
Page 21 and 22: oped by Aldo Vecchia (United States
Page 23 and 24: Chapter 2 Streamflow Data and Conce
Page 25 and 26: Table 2.1: Selected characteristics
Page 27 and 28: of testing for seasonality. If it y
Page 29 and 30: Table 2.3: Sample size of stations
Page 31 and 32: Figure 3.1: Mean monthly streamflow
Page 33 and 34: v.1.56. CAS# n/a WQStat Plus TM BOX
Page 35 and 36: concentrations of major anions and
Page 37 and 38: Table 3.3: Kruskal-Wallis test for
Page 39 and 40: The N ′ individual slope estimate
Page 41 and 42: As most parameters consistently exh
Page 43 and 44: Table 3.4: Seasonal Mann-Kendall Te
Page 45 and 46: Chapter 4 Parametric Methods used f
Page 47 and 48: log denotes the base-10 logarithm;
Page 49 and 50: Figure 4.1: Daily Streamflow at Eme
Page 51 and 52: Figures 4.3-4.8 depict the recorded
Page 53 and 54: 1 1 CONCENTR CONCENTR 1955 1960 196
Page 55 and 56: Table 4.1: Fitted Single Linear Tre
Page 57 and 58: Chapter 5 Comparison of Non-Paramet
Page 59 and 60: 5.2 Future Recommendations First an
Page 61: • Uses full power of the maximum
Page 65 and 66: Appendix A Figures A.1 Boxplots of
Page 67 and 68: v.1.56. CAS# n/a WQStat Plus TM BOX
Page 69 and 70: Figure A.7: Boxplot of Total Dissol
Page 71 and 72: v.1.56. CAS# n/a WQStat Plus BOX &
Page 73 and 74: Figure A.13: Seasonality pattern of
Page 75 and 76: A.3 Non-Parametric Trend Results Th
Page 77 and 78: Figure A.19: Long term temporal tre
Page 85 and 86: A.4 Parametric Trend Results The fo
Page 87 and 88: Figure A.31: Dissolved Sodium at Em
Page 89 and 90: Figure A.33: Dissolved Magnesium at
Page 91 and 92: Figure A.35: Dissolved Chloride at
Page 93 and 94: Figure A.37: Specific Conductance a
Page 95 and 96: 05102500 RED RIVER OF THE NORTH AT
Page 97 and 98: 1 1 CONCENTR CONCENTR 500 RED RIVER
Page 99 and 100: CONCENTR 500 RED RIVER OF THE NORTH
Page 103 and 104: CONCENTR ● CONCENTR 0 0 1955 1960
Page 105 and 106: CONCENTR CONCENTR 00 RED RIVER OF T
Page 109 and 110: CONCENTR 1 1.5 ! ! ! ! !! ! ! ! ! !
Page 111 and 112: CONCENTR 0.5 1 ! ! ! ! !! ! !! ! !
Page 113 and 114:
05102500 RED RIVER OF THE NORTH AT
Page 115 and 116:
CONCENTR ! ! ! ! ! ! ! ! ! ! ! ! !
Page 117 and 118:
CONCENTR ! CONCENTR 2 2 1955 1960 1
Page 119 and 120:
A.5.2 South Floodway at St. Norbert
Page 121 and 122:
CONCENT ! CONCENT 2 2 floodway dspc
Page 123 and 124:
A.5.3 Selkirk Monitoring Station 10
Page 125 and 126:
CONCENT ! CONCENT 2 2 selkirk dspc
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Statistical Analysis of Trends in the Red River Over a 45 Year Period

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