Data-driven interval credibility constrained quadratic programming model for water quality management under uncertainty

2021 ◽  
Vol 293 ◽  
pp. 112791
Author(s):  
Qianqian Zhang ◽  
Zhong Li
1988 ◽  
Vol 20 (6-7) ◽  
pp. 235-242 ◽  
Author(s):  
S. K. Bose ◽  
P. Ray ◽  
B. K. Dutta

Rapid and widespread deterioration of water quality in surface water systems has rendered mathematical modelling for predicting water quality indispensable especially in terms of bio-chemical oxygen demand (BOD) and dissolved oxygen (DO) under various system parameters. Model output under a prescribed set of conditions indicates the degree of treatment necessary to make the waste load acceptable. It also analyses the consequences of changes in water quality objectives from a cost/benefit viewpoint. The most appropriate model in this regard would be the one which takes into account the cost of treatment plant installations and their locations. This paper proposes a linear programming model for water quality management of the Hooghly estuary. The linear objective function for the total cost of treatment at selected terminals has been expressed in terms of quantity of BOD removed. Computed data have been presented under reasonably wide range of parameters.


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