Advertisement

Monitoring and Processing of Data for Effective Wasteload Allocation Modeling in India

  • Dipteek ParmarEmail author
  • A. K. Keshari
Chapter
  • 292 Downloads
Part of the Energy, Environment, and Sustainability book series (ENENSU)

Abstract

Many rivers, especially in developing countries are getting polluted because of increased waste load emanating from industrial and urban sectors. Although many pollution abatement efforts have been taken up but no comprehensive effluent standards based on waste load allocation modeling (WLA) have been developed and implemented to control the river pollution. This chapter presents the overview of this method and the related impediments such as data collection, processing and its use to facilitate WLA modeling in India. It begins with the concept and components of waste load allocation modeling. The data required to carry out WLA modeling using QUAL2E simulation tool is also discussed. Finally it concludes with an emphasis on the need for a coordinated effort involving the policy makers, scientists, engineers and the academia. It is opined that incorporating the requisite data collection and processing in routine functioning by government agencies will pave the way for developing robust WLA models and facilitate state of the art research in this field. This eventually would lead us towards development of realistic pollution control management plans for the ailing rivers.

Keywords

Waste load allocation Simulation Optimization Cost function Assimilative capacity Effluent 

References

  1. Ambrose B, Wool TA, Martin JL (1993) The water quality analysis simulation program: WASP 5, Part A, Model documentation. USEPA, Center for Exposure Assessment and Modeling, Athens, GAGoogle Scholar
  2. Anderson MV, Day HJ (1968) Regional management of water quality—a systems approach. J Water Pollut Control Feder 40(10):1679–1687Google Scholar
  3. Babu MT, Das VK, Vethamony P (2005) BOD-DO modeling and water quality analysis of a wastewater outfall off Kochi, west coast of India. Environ Int 32(2):145–153CrossRefGoogle Scholar
  4. Barnwell TO, Brown LC, Whittemore RC (2004) Importance of field data in stream water quality modeling using QUAL2E-UNCAS. J Environ Eng 130(6):643–647Google Scholar
  5. Brown LC, Barnwell TO (1987) The enhanced stream water quality models QUAL2E and QUAL2E-UNCAS: Documentation and User Manual, Report No. EPA/600/3-87/007, Environment Research Laboratory, USEPA, Athens, GAGoogle Scholar
  6. Burn DH (1989) Water quality management through combined simulation optimization approach. J Environ Eng 15(5):1008–1023Google Scholar
  7. Burn DH, McBean ED (1985) Optimzation modeling of water quality in uncertain environment. Water Resour Res 21(7):934–940CrossRefGoogle Scholar
  8. Burn DH, Yulianti JS (2001) Wasteload allocation using genetic algorithms. J Water Resour Plan Manag 127(2):121–129CrossRefGoogle Scholar
  9. Cohon JL (1978) Multiobjective programming and planning. Academic Press, New YorkGoogle Scholar
  10. Dhage SS, Chandorkar AA, Kumar R, Srivastava A, Gupta I (2006) Marine water quality assessment at Mumbai West Coast. Environ Int 32:149–158CrossRefGoogle Scholar
  11. Dikshit AK, Anand K, Alam JB (2000) A water quality simulation model for river systems. In: Mehrotra R, Soni B, Bhatia KKS (eds) Proceedings of international conference on integrated water resources management for sustainable development. National Institute of Hydrology, New Delhi, pp 383–392Google Scholar
  12. Ecker JG (1975) A geometric programming model for optimal allocation of stream dissolved oxygen. Manage Sci 21(6):658–668CrossRefGoogle Scholar
  13. Fujiwara O, Puangmaha W, Hanaki K (1988) River basin water quality management in stochastic environment. J Environ Eng 114(4):864–877CrossRefGoogle Scholar
  14. Ghosh NC (1996) Application of QUAL2E for water quality modeling of Kali River. Indian J Environ Health 38(3):160–170Google Scholar
  15. Goldar B, Banerjee N (2004) Impact of informal regulation of pollution on water quality in rivers in India. J Environ Manage 73:117–130CrossRefGoogle Scholar
  16. Gupta I, Dhage S, Chandorkar AA, Srivastava A (2004) Numerical modeling of Thane Creek. Environ Model Softw 19:571–579CrossRefGoogle Scholar
  17. Haimes YY, Hall WA (1975) Analysis of multiple objectives in water quality. J Hydraulics Div ASCE 101(HY4):387–400Google Scholar
  18. Haimes YY, Hall WA, Freedman HT (1975) Multiobjective optimization in water resources systems: The surrogate worth trade method. Elsevier Scientific Publishing Company, AmsterdamGoogle Scholar
  19. Hass JE (1970) Optimal taxing for the abatement of water pollution. Water Resour Res 6(2):353–365CrossRefGoogle Scholar
  20. Jha R, Ojha CSP, Bhatia KKK (2000) Development of deoxygenation and reaeration rate coefficients for a small tributary of river Hindon, UP, India. In: Mehrotra R, Soni B, Bhatia KKS (eds) Proceedings of the international conference on integrated water resources management for sustainable development, New Delhi, pp 464–474Google Scholar
  21. Jain CK (2004) Metal fractionation study on bed sediments of river Yamuna, India. Water Res 38:569–578CrossRefGoogle Scholar
  22. Joeres EF, Dressler J, Cho CC, Falkner CH (1974) Planning methodology for the design of regional waste water treatment systems. Water Resour Res 10(4):643–649CrossRefGoogle Scholar
  23. Karmakar S, Mujumdar PP (2004) Uncertainty in fuzzy membership functions for a river water quality management problem. In: Liong P, Babovic S (eds) International conference on hydro-informatics. World Scientific Publishing Company, pp 1–8Google Scholar
  24. Kazmi AA, Agrawal L (2005) Strategies for water quality management of Yamuna River, India. In: Proceedings of third international symposium on South East Asian Water Environment, Bangkok, pp 70–80Google Scholar
  25. Kazmi AA, Hansen IS (1997) Numerical models in water quality management: a case study for the Yamuna River (India). Water Sci Technol 36(5):193–200CrossRefGoogle Scholar
  26. Keshari AK, Parmar D (2006) Discussion on “Pollution management in the twentieth century”. J Environ Eng 131(11):1543–1546CrossRefGoogle Scholar
  27. Lee CS, Chang SP (2005) Interactive fuzzy optimization for an economic and environmental balance in a river system. Water Res 39:221–231CrossRefGoogle Scholar
  28. Lee CS, Wen CG (1997) Fuzzy goal programming approach for water quality management in a river basin. Fuzzy Sets Syst 89:181–192 CrossRefGoogle Scholar
  29. Lee CS, Wen CG (1996a) River assimilative capacity analysis via fuzzy linear programming. Fuzzy Sets Syst 79:191–201CrossRefGoogle Scholar
  30. Lee CS, Wen CG (1996b) Application of multiobjective programming to water quality management in a river basin. J Environ Manage 47:11–26CrossRefGoogle Scholar
  31. Liebman JC (1972) A simple management model for water quality. In: Keinath TM, Wanielista MP (eds) Proceedings of the mathematical modeling in environmental engineering, 8th Annual Workshop, Nassau, Bahamas, 18–22 Dec 1972, pp 469–476 Google Scholar
  32. McCutcheon SC (1989) Water quality modeling, vol. I, Transport and surface exchange in rivers. CRC Press, Boca Raton, FLGoogle Scholar
  33. McNamara JR (1976) An optimization model for regional water quality management. Water Resour Res 12(2):125–134CrossRefGoogle Scholar
  34. Melching CS, Flores HE (1999) Reaeration equations derived from U.S. Geological Survey database. J Environ Eng 125(5):407–414CrossRefGoogle Scholar
  35. Mujumdar PP, Subbarao VRS (2004) Fuzzy waste load allocation model: simulation-optimization approach. J Comput Civil Eng 18(2):120–131CrossRefGoogle Scholar
  36. O’Connor DJ, Dobbins WE (1958) Mechanisms of reaeration in natural streams. Trans Am Soc Civil Eng 123:641–684Google Scholar
  37. Ortolano L (1984) Environmental planning and decision making. Wiley, New YorkGoogle Scholar
  38. Owens M, Edwards RW, Gibbs JM (1964) Some reaeration studies in streams. Int J Air Water Pollut 8:469–486 Google Scholar
  39. Paliwal R, Sharma P, Kansal A (2007) Water quality modeling of the river Yamuna (India) using QUAL2E-UNCAS. J Environ Manage 83(2):131–144CrossRefGoogle Scholar
  40. Parmar D (2006) Simulation and multiobjective optimization for river water quality management. PhD Thesis, Indian Institute of Technology, DelhiGoogle Scholar
  41. Parmar D, Keshari AK (2012) Sensitivity analysis of water quality for Delhi stretch of river Yamuna, India. Environ Monitor Assess, Springer 184(3):1487–1508CrossRefGoogle Scholar
  42. Parmar D, Keshari AK (2014) Wasteload allocation using wastewater treatment and flow augmentation. Environ Model Assess, Springer 19(1):35–44CrossRefGoogle Scholar
  43. Parmar D, Keshari AK (2018) Simulating Strategic measures for managing water quality in the Delhi stretch of the River Yamuna, India. Sustain Water Resour Manage, Springer 4(4):1123–1133CrossRefGoogle Scholar
  44. Pelletier GJ, Chapra SC, Tao H (2006) QUAL2Kw—a framework for modeling water quality in streams and rivers using genetic algorithm for calibration. Environ Model Softw 21(3):419–425CrossRefGoogle Scholar
  45. Singh AP, Ghosh SK, Sharma P (2007) Water quality management of a stretch of river Yamuna: an interactive fuzzy multi-objective approach. Water Resour Manage 21:515–532CrossRefGoogle Scholar
  46. Smeers Y, Tyteca D (1984) A geometric programming model for the optimal design of wastewater treatment plants. Oper Res 32(2):314–342CrossRefGoogle Scholar
  47. Smith ET, Morris AR (1969) Systems analysis for optimal water quality management. J Water Pollut Control Feder 41(9):1635–1646Google Scholar
  48. Subbarao VRS, Mujumdar PP, Ghosh S (2004) Risk evaluation in water quality management. J Water Resour Plan Manage 130(1):40–48Google Scholar
  49. Thomann RV, Mueller JA (1987) Principles of surface water quality modeling and control. Harper & Row Publishers, New YorkGoogle Scholar
  50. Tsivoglou EC, Neal LA (1976) Tracer measurement of reaeration: III. Predicting the reaeration capacity of inland streams. J Water Pollut Control Feder 48(12):2669–2689Google Scholar
  51. USEPA (1995) QUAL2E Windows interface user’s guide, United States Environmental Protection Agency, EPA/823/B/95/003Google Scholar
  52. Wen CG, Lee CS (1998) A neural network approach to multiobjective optimization for water quality management in a river basin. Water Resour Res 34(3):427–436CrossRefGoogle Scholar
  53. Yandamuri SRM, Srinivasan K, Bhallamudi SM (2006) Multiobjective optimal wasteload allocation models for rivers using non-dominated sorting genetic algorithm-II. J Water Resour Plan Manage 132(3):133–143CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Civil EngineeringHarcourt Butler Technical UniversityKanpurIndia
  2. 2.Department of Civil EngineeringIndian Institute of Technology DelhiNew DelhiIndia

Personalised recommendations