Linearization of the stream quality standard in water pollution control models

被引：0
作者：
Gningue, Youssou [1 ,2 ,3 ]
机构：
[1] Laurentian University, Dept. of Math. and Computer Science, Sudbury
来源：
International Journal of Modelling and Simulation | 2000年 / 20卷 / 02期
关键词：
Dynamic programming - Linear programming - Mathematical models - Optimization - Standards;
D O I：
10.1080/02286203.2000.11442147
中图分类号：
学科分类号：
摘要：
In order to apply a linear programming model to water pollution control, Loucks et al. provide some parameters for the linearization of the stream quality standard constraints. These parameters are derived from a descriptive approach. In this paper I present an accurate procedure which evaluates these parameters.
引用
收藏
页码：113 / 118
页数：5
相关论文
共 10 条
  • [1] Loucks D.P., Reveille C.S., Lynn W.R., Phelps E.B., Linear programming models for water pollution control, Management Sci., 14, 94, (1967)
  • [2] Yakowitz S., Dynamic programming applications in water resources, Water Resources Res., 18, pp. 673-696, (1982)
  • [3] McCormick G.P., Nonlinear Programming Theory, Algorithms, and Applications, (1983)
  • [4] Streeter H.W., Phelps E.B., A study of the pollution and natural purification of the Ohio River, Public Health Bulletin, 146, (1925)
  • [5] Beck M.B., Modelling of dissolved oxygen in non-tidal stream, Mathematical Models in Water Pollution Control, (1978)
  • [6] Liebman J.C., Lynn W.R., The optimal allocation of stream dissolved oxygen resources, Water Resources Research, 2, 3, pp. 581-591, (1966)
  • [7] Graves G.W., Hatfield G.B., Mathematical programming for regional water quality management, Water Resources Res., 8, 2, (1972)
  • [8] Gningue Y., Gueye D.S., Ndiaye S., Linear cost function for programming models in water pollution, control, ASAC Management Science Proc., (1996)
  • [9] Wastewater Engineering, Treatment, Disposal and Reuse, (1991)
  • [10] Singh U.P., Scholl J.E., Computer modeling for water quality planning: A case study, J. of Water Pollution Control Federation, 61, 87, (1989)
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