Industrial Waste Monitoring: A Statistical Approach

by Gerald W. Foess, (A.M.ASCE), Project Mgr.; CH2M HILL, Milwaukee, Wisc.,
Wayne St. John, (A.M.ASCE), Project Administrator; Milwaukee Metropolitan Sewerage Dist., Milwaukee, Wisc.,

Serial Information: Journal of the Environmental Engineering Division, 1980, Vol. 106, Issue 5, Pg. 947-958

Document Type: Journal Paper

Abstract: Computation of correct user charges for large industrial customers requires a monitoring program to establish and detect significant changes in each industry's waste characteristics. The approach incorporates a model for selecting reasonable sampling intervals and a statistical control chart for detecting shifts in an industry's waste characteristics from prescribed mean values. The sampling interval model accounts quantitatively for a number of pertinent variables that affect the cost and utility of the monitoring program, including the costs of sampling and analysis, the probability of drawing erroneous conclusions from the data, and the time required to detect a significant shift in wastewater characteristics. The statistical control procedure adopted to detect shifts in waste characteristics is the cusum control chart.

Subject Headings: Industrial wastes | Waste management | Statistics | Data processing | Client relationships | Quantitative analysis | Probability |

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