

@mastersthesis {6528,
	title = {Industrial sewer demand modeling: {Applications} and limitations},
	year = {1999},
	note = {MQ51425},
	school = {Simon Fraser University (Canada)},
	type = {phdM.{R}.{M}.},
	address = {Ann Arbor},
	abstract = {Rapid population growth in the Greater Vancouver Sewerage and Drainage District (GVS\&DD) means that industrial customers are placing increased pressure upon limited sewer system capacity. GVS\&DD managers must satisfy future industrial demand without ignoring public concerns over local air and water quality, transportation, and burdensome municipal taxes. Long-term comprehensive wastewater management and planning, including a reliable industrial sewer demand forecast, are needed. This paper develops and then evaluates potential applications and limitations of an industrial sewer demand forecasting model for the Vancouver area. Although relatively small in volume, industrial wastewater discharges can often account for significant, and oftentimes variable, flow and pollutant loadings at district wastewater treatment plants (WWTPs). A survey of other North American jurisdictions indicates that industrial sewer demand forecasts are not common. The benefits of a more robust forecast of sewer demand are nevertheless becoming more evident; the cost of misreading the future include environmental damage and social welfare and economic losses. The model relies on the assumption that industrial employment and industrial wastewater discharges are correlated. From this assumption, baseline forecasts are produced through 2021 for industrial flow, biochemical oxygen demand, and total suspended solids for each of the region{\textquoteright}s five wastewater treatment plants. However, a lack of industrial employment and output data produces forecast uncertainty and prevents model verification. Forecast uncertainty means that the model can only be used to simulate relative impacts of policies, regulations, or changes in economic conditions on industrial flow and loadings. Additional data are needed before the forecasts can be considered accurate. Consequently, the report recommends that additional industrial employment and output data be collected if the benefits of such an undertaking are estimated to exceed the costs.},
	keywords = {0543:Civil engineering, 0775:Environmental engineering, Applied sciences, Civil engineering, Environmental engineering},
	url = {http://search.proquest.com/docview/304560742?accountid=14270},
	author = {Moore, Alastair}
}
