Statistical Methods for the Assessment of Point Source Pollution: Proceedings of a Workshop on Statistical Methods for the Assessment of Point Source Pollution, held in Burlington, Ontario, CanadaD.T. Chapman, A.H. El-Shaarawi This book contains the proceedings of a workshop, 'Statistical Methods for the Assess ment of Point Source Pollution', held September 12-14, 1988, at the Canada Centre for Inland Waters in Burlington, Ontario, Canada. The objectives of the workshop were to: a) advance the art, science, and application of statistical methods to current water quality issues by stimulating discussions and disseminating ideas and information. The emphasis was on statistical problems associated with monitor ing and controlling discharges from industries and municipalities and assessing the impact of these discharges on receiving water quality, b) provide a forum for managers, engineers, scientists, and statisticians to present and discuss techniques for evaluating water quality data and planning monitoring activities, c) provide a published state-of-the art summary of the application of statistical methods for the assessment of point source discharges and their impact on water qUality. The papers contained in this volume cover a number of topics that are of concern not only for monitoring and assessing point source pollution but also for other environmental problems. |
Contents
13 | |
KAHN and MARVIN B RUBIN Use of Statistical Methods | 29 |
R W CRABTREE C P CROCKETT and J C ELLIS Continuous Effluent | 49 |
A E WARN Auditing the Quality of Effluent Discharges 65 | 65 |
KEITH W HIPEL and A IAN MCLEOD Intervention Analysis in Environmen | 85 |
TANG and I B MACNEILL The Effect of Autocorrelated Errors | 103 |
MAGNE ALDRIN EIVIND DAMSLETH and HANS VIGGO SÆBØTime | 127 |
BERTHOUEX WENJE LAI and A DARJATMOKOA Statistics | 147 |
CHAPMAN W RANDLE and HUGH MONTEITH Evaluation | 207 |
E THOMPSON and A H ELSHAARAWI On the Estimation of Phos | 223 |
A H ELSHAARAWI and D J WILLIAMS Status of the Niagara River | 231 |
R PETER RICHARDS Measures of Flow Variability for Great Lakes | 261 |
DONALD J POULTON Statistical Zonation of Sediment Samples Using | 279 |
BYRON A BODO Robust Graphical Methods for Diagnosing Trend | 307 |
DANIEL CLUIS CLAUDE LANGLOIS RAYMOND VAN COILLIE | 329 |
DAVID W AVERILL Statistical Software for Microcomputers A Users | 343 |
JONES J F MACGREGOR and K L MURPHY State Estimation | 171 |
T FAREWELL Some Comments on Analysis Techniques for Censored | 185 |
A H ELSHAARAWI P B KAUSS M K KIRBY and M WALSH | 195 |
Glossary of Statistical Terms 363 | 363 |
Other editions - View all
Statistical Methods for the Assessment of Point Source Pollution D.T. Chapman,A.H. El-Shaarawi Limited preview - 1989 |
Statistical Methods for the Assessment of Point Source Pollution ... D.T. Chapman,A.H. El-Shaarawi No preview available - 2012 |
Statistical Methods for the Assessment of Point Source Pollution D. T. Chapman,A. H. El-Shaarawi No preview available - 2014 |
Common terms and phrases
95-percentile Assessment autocorrelation average basin calculated Canada censored chemical cluster coefficient of variation compliance confidence limits confirmatory data analysis contaminants control chart CVLF5 daily data analysis data set detection limit Detroit River developed discharge effluent effluent limits El-Shaarawi Environment Environmental Equation error example failed samples Figure flow frequency graphical Hamilton Harbour Hipel industrial input interval Lake Ontario load estimation lognormal lognormal distribution matrix mean measurements median monitoring monthly Niagara River non-parametric normal distribution number of samples observations operating outliers package parameters percentile phosphorus phosphorus load plot point source point source pollution pollutants priority pollutant procedures random ratio regression river quality RLWR seasonal sediment similarity coefficients simulations sludge standard deviation stations Table techniques toxic treatment plants trend values variability factors variance wastewater treatment water quality water quality data Water Resources