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VARIABILITY ANALYSIS DURING BIOLOGICAL TREATABILITY OF COMPLEX INDUSTRIAL WASTEWATERS FOR DESIGN Enos L. Stover, Associate Professor David E. McCartney, Graduate Student Faramarz Dehkordi, Graduate Student Don F. Kincannon, Professor School of Civil Engineering Oklahoma State University Stillwater, Oklahoma 74078 The U.S. Environmental Protection Agency (EPA) has set standards for effluent quality in order to meet the objectives of the Federal Water Pollution Control Act Amendments of 1972. The effluent limitations for secondary treatment as defined by EPA specify that arithmetic means of total BOD5 concentrations shall not exceed 30 mg/1 in a period of 30 consecutive days, nor shall the total BOD5 exceed 45 mg/1 in a period of 7 consecutive days. These requirements specify that 30 mg/1 effluent total BOD5 be achieved at least 50% of the time and that 45 mg/1 effluent total BODs not be exceeded over about 25% of the time. Actual municipal and industrial wastewater discharge requirements vary from plant to plant, but in general are at least as stringent as the secondary treatment levels established by EPA. Variations in wastewater characteristics, environmental conditions and biological system performance must be evaluated to properly design a biological wastewater treatment system to reliably achieve the allowed effluent criteria. The activated sludge process is the most commonly used process for treatment of industrial wastewaters. Reliable design of an activated sludge process to achieve a high effluent quality at minimum cost requires the design engineer to estimate the expected effluent quality as well as the variability in effluent quality. Reliable design can be achieved by conducting treatability studies to develop biokinetic constants and treatment performance data that can be used in the various biokinetic predictive design models available. These kinetic design models after Gaudy, Lawrence and McCarty, Eckenfelder, McKinney, and Weston represent the best available state-of-the-art technology available today. Variability in wastewater characteristics (flows and pollutant concentrations) and variability in biological treatment performance are two of the most important considerations during scale-up and design of industrial wastewater treatment facilities. It is extremely important during the experimental planning to develop wastewater survey and biological treatability programs for collection of sufficient data to evaluate the variability and statistically analyze the data for design. The wastewater characterization requires knowledge of the discharge characteristics due to production schedules, clean-up operations, etc. and development of sufficient characterization data for determining the design conditions, for example at the 50 and 90% probable flows and loadings. Consideration of the data variability from the biological treatability study due to the dynamic nature of the heterogeneous microbial populations is more complicated and in most cases has not been properly addressed during design of industrial wastewater treatment facilities. This chapter presents a systematic approach developed for evaluation of biological system process performance variability using methods of probability. This probabilistic design approach provides a consistent basis for analysis of the inherent variability associated with the biological kinetic constants or coefficients required for design of activated sludge systems. Then the variability of both the effluent quality and the descriptive biokinetic constants developed during the treatability study can be employed to predict the expected variability of the full-scale system. 773
Object Description
Purdue Identification Number | ETRIWC198279 |
Title | Variability analysis during biological treatability of complex industrial wastewaters for design |
Author |
Stover, Enos L. McCartney, David E. Dehkordi, Faramarz Kincannon, Don F. |
Date of Original | 1982 |
Conference Title | Proceedings of the 37th Industrial Waste Conference |
Extent of Original | p. 773-784 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital object copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Date Digitized | 2009-07-14 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Resolution | 300 ppi |
Color Depth | 8 bit |
Description
Title | page 773 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Transcript | VARIABILITY ANALYSIS DURING BIOLOGICAL TREATABILITY OF COMPLEX INDUSTRIAL WASTEWATERS FOR DESIGN Enos L. Stover, Associate Professor David E. McCartney, Graduate Student Faramarz Dehkordi, Graduate Student Don F. Kincannon, Professor School of Civil Engineering Oklahoma State University Stillwater, Oklahoma 74078 The U.S. Environmental Protection Agency (EPA) has set standards for effluent quality in order to meet the objectives of the Federal Water Pollution Control Act Amendments of 1972. The effluent limitations for secondary treatment as defined by EPA specify that arithmetic means of total BOD5 concentrations shall not exceed 30 mg/1 in a period of 30 consecutive days, nor shall the total BOD5 exceed 45 mg/1 in a period of 7 consecutive days. These requirements specify that 30 mg/1 effluent total BOD5 be achieved at least 50% of the time and that 45 mg/1 effluent total BODs not be exceeded over about 25% of the time. Actual municipal and industrial wastewater discharge requirements vary from plant to plant, but in general are at least as stringent as the secondary treatment levels established by EPA. Variations in wastewater characteristics, environmental conditions and biological system performance must be evaluated to properly design a biological wastewater treatment system to reliably achieve the allowed effluent criteria. The activated sludge process is the most commonly used process for treatment of industrial wastewaters. Reliable design of an activated sludge process to achieve a high effluent quality at minimum cost requires the design engineer to estimate the expected effluent quality as well as the variability in effluent quality. Reliable design can be achieved by conducting treatability studies to develop biokinetic constants and treatment performance data that can be used in the various biokinetic predictive design models available. These kinetic design models after Gaudy, Lawrence and McCarty, Eckenfelder, McKinney, and Weston represent the best available state-of-the-art technology available today. Variability in wastewater characteristics (flows and pollutant concentrations) and variability in biological treatment performance are two of the most important considerations during scale-up and design of industrial wastewater treatment facilities. It is extremely important during the experimental planning to develop wastewater survey and biological treatability programs for collection of sufficient data to evaluate the variability and statistically analyze the data for design. The wastewater characterization requires knowledge of the discharge characteristics due to production schedules, clean-up operations, etc. and development of sufficient characterization data for determining the design conditions, for example at the 50 and 90% probable flows and loadings. Consideration of the data variability from the biological treatability study due to the dynamic nature of the heterogeneous microbial populations is more complicated and in most cases has not been properly addressed during design of industrial wastewater treatment facilities. This chapter presents a systematic approach developed for evaluation of biological system process performance variability using methods of probability. This probabilistic design approach provides a consistent basis for analysis of the inherent variability associated with the biological kinetic constants or coefficients required for design of activated sludge systems. Then the variability of both the effluent quality and the descriptive biokinetic constants developed during the treatability study can be employed to predict the expected variability of the full-scale system. 773 |
Resolution | 300 ppi |
Color Depth | 8 bit |
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