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Spatial Heterogeneity of Water Quality Parameters (S.R. Esterby). Uncertainty in Water Quality Data (R.H. Montgomery, T.G. Sanders). The Use of Multivariate Methods in the Interpretation of Water Quality Monitoring Data of a Large Northern Reservoir (R. Schetagne). Modeling River Acidity: A Transfer Function Approach (E. Damsleth). Sulphate, Water Colour and Dissolved Organic Carbon Relationships in Organic Waters of Atlantic Canada (G.D. Howell, T.L. Pollock). Sulfate in Coloured Waters. I. Evaluation of Chromatographic and Colorimetric Data Compatibility (V. Cheam et al.). The Importance of Design Quality Control to a National Monitoring Program (R.E. Kwiatkowski). Determination of Water Quality Zonation in Lake Ontario Using Multivariate Techniques (M.A. Neilson, R.J.J. Stevens). Spatial Variability in the Water Quality of Québec Rivers (M. Simoneau). Estimation of Distributional Parameters for Censored Water Quality Data (D.R. Helsel). Natural Variability of Water Quality in a Temperate Estuary (L.E. Gadbois, B.J. Neilson). Extension of Water Quality Data Bases in Planning for Water Treatment (G.T. Orlob, N. Marjanović). Statistical Inferences from Coliform Monitoring of Potable Water (W.O. Pipes). Modelling of Bacterial Populations and Water Quality Monitoring in Distribution Systems (A. Maul et al.). A Goodness-of-Fit Test for the Negative Binomial Distribution Applicable to Large Sets of Small Samples (B. Heller). Reporting Bacteriological Counts from Water Samples: How Good is the Information from an Individual Sample? (H.E. Tillett). Some Applications of Linear Models for Analysis of Contaminants in Aquatic Biota (R.H. Green). A Comparative Study of the Sampling Properties of Four Similarity Indices (H.W. Khoo, T.M. Lim). Randomized Similarity Analysis of Multispecies Laboratory and Field Studies (E.P. Smith). Association of Chlorophyll a with Physical and Chemical Factors in Lake Ontario, 1967-1981 (A.H. El-Shaarawi et al.). Gamma Markov Processes (R.M. Phatarfod). Dynamic Covariate Adjustment of Water Quality Parameters for Streamflow: Transfer Function Model Selection (L.D. Haugh et al.). Residuals from Regression with Dependent Errors (R.J. Kulperger). Alternatives for Identifying Statistically Significant Differences (E.A. McBean). Global Variance and Root Mean Square Error Associated with Linear Interpolation of a Markovian Time-Series (D.A. Cluis). Empirical Power Comparisons of Some Tests for Trend (K.W. Hipel et al.). Statistical Assessment of Limnological Data Set: Intervention Analysis (R. Clifford et al.). The Change Point Problem: A Review of Applications (V.K. Jandhyala, I.B. MacNeill). Spectral Analysis of Long-Term Water Quality Records (P.H. Whitfield). Bayes Estimation of Parameters of First Order Autoregressive Process (M.S. Abu-Salih, A.A. Abd-Alla). A Systems Approach to Computerizing Data Acquisition (T.R. Clune). High Frequency Water Quality Monitoring of a Coastal Stream (N.E. Dalley). The Design of a Cost Effective Microcomputer-Based Data Acquisition System (K. Okamura, K. Aghai-Tabriz). On the Estimation of Monthly Mean Phosphorus Loadings (M.E. Thompson, K. Bischoping). Estimation of Loading by Numerical Integration (A.H. El-Shaarawi et al.). Intervention Analysis of Seasonal and Nonseasonal Data to Estimate Treatment Plant Phosphorus Loading Shifts (K.A. Booman et al.). Sediment Responses During Storm Events in Small Forested Watersheds (W.A. Rieger, L.J. Olive). Index.
This volume contains selected papers from the ``Workshop on the Statistical Aspects of Water Quality Monitoring'', held on October 7-10 1985, at the National Water Research Institute in Burlington, Ontario, Canada. The prime objective of the Workshop was to generate interaction between the statistical community and scientists working in the area of Water Quality Monitoring. To this end, topics covered in this Workshop fall into two categories: (1) Methods Development, and (2) the Imaginative Application of Existing Methodologies. Subjects covered include: Time Series, Estimation of Loading, Clustering, Model Development, Censoring Data Analysis, Quality Control and Data Acquisition.
In the area of environmental sciences, statistical applications are still in their infancy, with few attempts to systematically develop techniques dealing with environmental issues. The publication of this book is one step towards identifying appropriate statistical techniques and diagnosing problems in Water Quality Monitoring which require new statistical methodologies. The papers presented in this volume represent international expertise, consolidating detailed information on both conventional and new methods.
- No. of pages:
- © Elsevier Science 1986
- 1st April 2000
- Elsevier Science
- eBook ISBN:
@qu:... well suited as a reference material ... I value each of the collected papers and will keep the proceedings for reference. @source: Water Resources Bulletin
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