Probabilistic evaluation of ammonia toxicity in Milwaukee's Outer Harbor

2006 ◽  
Vol 53 (1) ◽  
pp. 109-116
Author(s):  
C.S. Melching ◽  
V. Novotny ◽  
J.B. Schilling
Keyword(s):  
Water Quality ◽  
Monte Carlo ◽  
Monte Carlo Model ◽  
Quality Criteria ◽  
Operating Conditions ◽  
Ammonia Toxicity ◽  
Quality Data ◽  
Water Quality Criteria ◽  
Water Quality Data ◽  
Probabilistic Evaluation

Water-quality models that are simple yet sound and reliable and that correspond to water-quality criteria that include magnitude, frequency, and duration components are needed. Monte Carlo models are developed on the basis of available flow and water-quality data and a deterministic water-quality model appropriate for the problem at hand and the data available. Monte Carlo models yield time series and probability distributions of constituents of interest in conformance with water-quality criteria. The application of a Monte Carlo model to the probabilistic evaluation of ammonia toxicity in Milwaukee's Outer Harbor is presented here. Under typical operating conditions for the Jones Island Wastewater Treatment Plant, ammonia toxicity was found to not be a problem for the Outer Harbor. The Monte Carlo model then was used to determine effluent limits that would meet the ammonia toxicity criteria.

Use of Monte Carlo techniques to assess POTW compliance with EPA water quality criteria for heavy metals

1993 ◽  
Vol 65 (5) ◽  
pp. 674-678 ◽  
Author(s):  
Jim Bumgardner ◽  
Christopher Malone ◽  
Larry F. Walker ◽  
Robert F. Shanks
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Monte Carlo ◽  
Quality Criteria ◽  
Water Quality Criteria ◽  
Monte Carlo Techniques

scholarly journals Record extension for short-gauged water quality parameters using a newly proposed robust version of the Line of Organic Correlation technique

2012 ◽  
Vol 16 (7) ◽  
pp. 2253-2266 ◽  
Author(s):  
B. Khalil ◽  
J. Adamowski
Keyword(s):  
Water Quality ◽  
Monte Carlo ◽  
Full Range ◽  
Monte Carlo Study ◽  
Ordinary Least Squares ◽  
Quality Data ◽  
Correlation Technique ◽  
Least Squares Regression ◽  
Water Quality Data ◽  
Water Quality Variable

Abstract. In many situations the extension of hydrological or water quality time series at short-gauged stations is required. Ordinary least squares regression (OLS) of any hydrological or water quality variable is a traditional and commonly used record extension technique. However, OLS tends to underestimate the variance in the extended records, which leads to underestimation of high percentiles and overestimation of low percentiles, given that the data are normally distributed. The development of the line of organic correlation (LOC) technique is aimed at correcting this bias. On the other hand, the Kendall-Theil robust line (KTRL) method has been proposed as an analogue of OLS with the advantage of being robust in the presence of outliers. Given that water quality data are characterised by the presence of outliers, positive skewness and non-normal distribution of data, a robust record extension technique is more appropriate. In this paper, four record-extension techniques are described, and their properties are explored. These techniques are OLS, LOC, KTRL and a new technique proposed in this paper, the robust line of organic correlation technique (RLOC). RLOC includes the advantage of the LOC in reducing the bias in estimating the variance, but at the same time it is also robust in the presence of outliers. A Monte Carlo study and empirical experiment were conducted to examine the four techniques for the accuracy and precision of the estimate of statistical moments and over the full range of percentiles. Results of the Monte Carlo study showed that the OLS and KTRL techniques have serious deficiencies as record-extension techniques, while the LOC and RLOC techniques are nearly similar. However, RLOC outperforms OLS, KTRL and LOC when using real water quality records.

Some Considerations of Enhanced Water Quality Monitoring in the Northwest Territories: An Inland Waters Directorate Perspective

1986 ◽  
Vol 18 (2) ◽  
pp. 171-177
Author(s):  
Brian Olding
Keyword(s):  
Water Quality ◽  
Aquatic Environment ◽  
Stream Water ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Water Quality Criteria ◽  
Water Quality Data ◽  
Water Quality Objectives

Environment Canada has for over 15 years operated a network of water quality stations in the NWT. The objectives of the network were to provide a baseline of water quality data against which future changes could be measured. Contemporary monitoring must now address the biological component of the aquatic environment, the effects of development on the aquatic environment, and the formulation and application of in-stream water quality objectives. Interjurisdictional water quality at the Territorial-Provincial border, and issues associated with precious metals, base metals, hydrocarbons, uranium exploration and long-range air pollution constitute new challenges for water quality monitoring programs. The paper considers aspects of an updated monitoring program, focusing on the delineation of ambient variability and the needs for particular research in the development of aquatic water quality criteria, guidelines and use-specific water quality objectives for northern watercourses.

scholarly journals Record extension for short-gauged water quality parameters using a newly proposed robust version of the line of organic correlation technique

2012 ◽  
Vol 9 (4) ◽  
pp. 4667-4702 ◽  
Author(s):  
B. Khalil ◽  
J. Adamowski
Keyword(s):  
Water Quality ◽  
Monte Carlo ◽  
Full Range ◽  
Monte Carlo Study ◽  
Ordinary Least Squares ◽  
Quality Data ◽  
Correlation Technique ◽  
Least Squares Regression ◽  
Water Quality Data ◽  
Water Quality Variable

Abstract. In many situations the extension of hydrological or water quality time series at short-gauged stations is required. Ordinary least squares regression (OLS) of any hydrological or water quality variable is a traditional and commonly used record extension technique. However, OLS tends to underestimate the variance in the extended records, which leads to underestimation of high percentiles and overestimation of low percentiles, given that the data is normally distributed. The development of the line of organic correlation (LOC) technique is aimed at correcting this bias. On the other hand, the Kendall-Theil robust line (KTRL) method has been proposed as an analogue of OLS with the advantage of being robust in the presence of outliers. Given that water quality data are characterised by the presence of outliers, positive skewness and non-normal distribution of data, a robust record extension technique is more appropriate. In this paper, four record-extension techniques are described, and their properties are explored. These techniques are OLS, LOC, KTRL and a new technique proposed in this paper, the robust line of organic correlation technique (RLOC). RLOC includes the advantage of the LOC in reducing the bias in estimating the variance, but at the same time it is also robust to the presence of outliers. A Monte Carlo study and empirical experiment were conducted to examine the four techniques for the accuracy and precision of the estimate of statistical moments and over the full range of percentiles. Results of the Monte Carlo study showed that the OLS and KTRL techniques have serious deficiencies as record-extension techniques, while the LOC and RLOC techniques are nearly similar. However, RLOC outperforms OLS, KTRL and LOC when using real water quality records.

Volume Analysis for Attainability of Water Quality Criteria for Three Loading Constituents

2004 ◽  
Author(s):  
Ping Wang ◽  
Lewis Linker ◽  
James Collier ◽  
Gary Shenk ◽  
Robert Koroncai ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Criteria ◽  
Water Quality Criteria ◽  
Volume Analysis
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