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Please use this identifier to cite or link to this item: http://hdl.handle.net/1903/4210

Title: Real-Time Monitoring and Forecasting of Odor after Dewatering in Wastewater Treatment
Authors: Janpengpen, Ampun
Advisors: Baecher, Gregory B
Department/Program: Civil Engineering
Type: Thesis
Sponsors: Digital Repository at the University of Maryland
University of Maryland (College Park, Md.)
Keywords: Engineering, Civil (0543)
real-time monitoring; total reduced sulfur; multiple regression model
Issue Date: 8-Dec-2006
Abstract: District of Columbia Water and Sewer Authority (DCWASA) operates an advanced wastewater treatment plant that treats approximately 370 mgd of wastewater and generates over 400,000 wet tons of biosolids each year. The reduction of biosolids odors at the plant before distribution to the field sites is therefore, a high priority. Each unit process of a wastewater treatment plant has the potential to generate odor-causing compounds. Total Reduced Sulfur is one of the main components of the odor-generated by wastewater treatment facilities and is the dewatered solids emissions monitored by this study. Many studies have indicated that odors are generated from the upstream processes and from storage, but this research presents information about the odors arising after dewatering. It demonstrates a statistical model that forecasts which factors are significant contributions to odors and which can be used to forecast biosolids odor. The model indicates that secondary west odd blanket depth is the most significant factor for odor level after dewatering and at the depth more than 1.8 ft will be caused more odors. In addition, this research provides basic information to compare odor after lime addition which is the next phase of research, and this model can assist DCWASA to schedule routes for distribution of biosolids to field sites.
URI: http://hdl.handle.net/1903/4210
Appears in Collections:UMD Theses and Dissertations
Civil & Environmental Engineering Theses and Dissertations

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