An inexact chance-constrained programming model for water quality management in Binhai New Area of Tianjin, China

2011 ◽  
Vol 409 (10) ◽  
pp. 1757-1773 ◽  
Author(s):  
Y.L. Xie ◽  
Y.P. Li ◽  
G.H. Huang ◽  
Y.F. Li ◽  
L.R. Chen
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Programming Model ◽  
Water Quality Management ◽  
Chance Constrained Programming ◽  
Constrained Programming

scholarly journals Mathematical Modeling for Water Quality Management under Interval and Fuzzy Uncertainties

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
J. Liu ◽  
Y. P. Li ◽  
G. H. Huang
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Quality Management ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Interval Numbers ◽  
Nonpoint Sources ◽  
Xiangxi River ◽  
Constrained Programming ◽  
System Benefit

In this study, an interval fuzzy credibility-constrained programming (IFCP) method is developed for river water quality management. IFCP is derived from incorporating techniques of fuzzy credibility-constrained programming (FCP) and interval-parameter programming (IPP) within a general optimization framework. IFCP is capable of tackling uncertainties presented as interval numbers and possibility distributions as well as analyzing the reliability of satisfying (or the risk of violating) system’s constraints. A real-world case for water quality management planning of the Xiangxi River in the Three Gorges Reservoir Region (which faces severe water quality problems due to pollution from point and nonpoint sources) is then conducted for demonstrating the applicability of the developed method. The results demonstrate that high biological oxygen demand (BOD) discharge is observed at the Baishahe chemical plant and Gufu wastewater treatment plant. For nonpoint sources, crop farming generates large amounts of total phosphorus (TP) and total nitrogen (TN). The results are helpful for managers in not only making decisions of effluent discharges from point and nonpoint sources but also gaining insight into the tradeoff between system benefit and environmental requirement.

Water Quality Management of the Hooghly Estuary – A Linear Programming Model

1988 ◽  
Vol 20 (6-7) ◽  
pp. 235-242 ◽  
Author(s):  
S. K. Bose ◽  
P. Ray ◽  
B. K. Dutta
Keyword(s):  
Water Quality ◽  
Linear Programming ◽  
Quality Management ◽  
Programming Model ◽  
Water Quality Management ◽  
Treatment Plant ◽  
Linear Programming Model ◽  
Cost Of Treatment ◽  
Hooghly Estuary ◽  
Wide Range

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.

Sign in / Sign up

Export Citation Format

Share Document