Wasteload Allocation Using Wastewater Treatment and Flow Augmentation

A Wasteload allocation model, named Cost-Flow-Augmentation Model involving wastewater treatment and flow augmentation as a method of pollution abatement has been developed. The cost functions for wastewater treatment were developed as power functions of biochemical oxygen demand (BOD) removal using the regression module of the SPSS10 software. The cost function for flow augmentation was also developed using a regression between cost of dam/barrage and corresponding flow released from upstream reservoir for downstream water quality improvement. The response of wasteloads and flow augmentation on the water quality was quantified in terms of transfer coefficient calculated using the QUAL2E water quality simulation model. The performance of these models is demonstrated on the 22-km-long Delhi stretch of river Yamuna, India. Optimal solutions of the formulated models were obtained using the Web-based interactive non-differentiable interactive multiobjective bundle-based optimization system software. The optimal solutions obtained reveal that flow augmentation is not an economically feasible pollution abatement option for the Delhi stretch of river Yamuna.

[1]  Hideki Harada,et al.  Economic evaluation of sewage treatment processes in India. , 2007, Journal of environmental management.

[2]  Ricardo Harboe Including daily constraints in a monthly reservoir operation model for low-flow , 1988 .

[3]  Yacov Y. Haimes,et al.  Multiobjective optimization in water resources systems : the surrogate worth trade-off method , 1975 .

[4]  Slobodan P. Simonovic,et al.  Risk‐Reliability Programming for Optimal Water Quality Control , 1984 .

[5]  James P. Heaney,et al.  Model for Flow Augmentation Analysis—An Overview , 1970 .

[6]  U. C. Chaube,et al.  Environmental Flows for Hydropower Projects - A Case Study , 2007 .

[7]  Jerome E. Hass,et al.  Optimal Taxing for the Abatement of Water Pollution , 1970 .

[8]  Kaisa Miettinen,et al.  Nonlinear multiobjective optimization , 1998, International series in operations research and management science.

[9]  Kaisa Miettinen,et al.  Synchronous approach in interactive multiobjective optimization , 2006, Eur. J. Oper. Res..

[10]  J. Cohon Multiobjective optimization in water resources systems , 1976 .

[11]  John R. McNamara,et al.  An Optimization Model for Regional Water Quality Management , 1976 .

[12]  Asit K. Biswas,et al.  Systems approach to water management , 1976 .

[13]  Chia Shun Shih,et al.  INTEGRATED MANAGEMENT OF QUANTITY AND QUALITY OF URBAN WATER RESOURCES , 1972 .

[14]  R. Thomann,et al.  Principles of surface water quality modeling and control , 1987 .