Skip to main content
Log in

Nonlinear optimization modeling of coliform bacteria

  • Published:
Water, Air, and Soil Pollution Aims and scope Submit manuscript

Abstract

An optimization model for use in the planning stage of the water quality management process was developed. The model determined the optimal removal of coliform bacteria in accordance with an objective function which reflects the uncertainty aspects of the problem. Several management options are available through model use thereby providing a decision-maker with considerable latitude to evaluate the relative importance of the conflicting objectives of the problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

A:

matrix of constraint coefficients,

b:

vector of constraint right-hand side values,

d ij :

scalar transfer coefficient from source i to receptor j,

D j :

background pollutant concentration at location j,

I j :

index set of sources impacting receptor location j,

k :

first-order decay coefficient for coliform bacteria decay model,

N o :

initial concentration of coliform bacteria,

N t :

concentration of coliform bacteria after travel time t,

S j :

pollutant standard at location j,

I ij :

travel time in the water body from location i to location j,

v ij :

the element in row i and column j of the variance-covariance matrix,

V c :

variance-covariance matrix of the objective function vector,

W i :

pollutant loading to source i,

x:

decision vector for an optimization problem,

x ij :

treatment imposed on source i,

z o :

aspiration level for water quality objective,

μ c :

mean value vector of the objective function coefficients,

ϱ ij :

the correlation between the ith and jth objective function coefficients,

σ i :

the ith element of the vector σ c ,

τ:

the constraint limit for the equity constraints.

References

  • Beak Consultants Limited: 1982, ‘Effect of Hydraulic Characteristics and Effluent Chlorination on the Incidence of Microorganisms of Public Health Significance in Receiving Waters’, prepared for The Ontario Ministry of the Environment Toronto, Ontario.

    Google Scholar 

  • Benjamin, J. R. and Cornwell, C. A.: 1970, Probability, Statistics, and Decision for Civil Engineers, McGraw-Hill Inc., New York.

    Google Scholar 

  • Berg, G. (ed.): 1978, Indicators of Viruses in Water and Food, Ann Arbor Science Publishers Inc., Ann Arbor, Mich.

    Google Scholar 

  • Burn, D. H.: 1985, ‘Optimization Techniques Applied to Water Quality in an Uncertain Environment’, Ph. D. Thesis, University of Waterloo.

  • Burn D. H. and McBean, E. A.: 1985, Water Resources Research 21, 934.

    Google Scholar 

  • Geldreich, E. E.: 1978, ‘Bacteria Populations and Indicator Concepts in Feces, Sewage, Stormwater and Solid Wastes’, in Indicators of Viruses in Water and Food, G. Berg (ed.), Ann Arbor Science Publishers Inc., Ann Arbor, Mich.

    Google Scholar 

  • Kittrell, F. W. and Furfari, S. A.: 1963, Journal of the Water Pollution Control Federation 35, 1361.

    Google Scholar 

  • Mahloch, J. L.: 1974, Applied Microbiology 27, 340.

    Google Scholar 

  • Metcalf and Eddy Inc.: 1979, Wastewater Engineering: Treatment, Disposal, Reuse, McGraw-Hill Inc., New York, N.Y.

    Google Scholar 

  • Sengupta, J. K. and Portillo-Campbell, J. H.: 1970, Management Science 16, 298.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Burn, D.H., McBean, E.A. Nonlinear optimization modeling of coliform bacteria. Water Air Soil Pollut 32, 183–200 (1987). https://doi.org/10.1007/BF00227693

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00227693

Keywords

Navigation