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Optimal location of sampling points for river pollution control

Author

Listed:
  • Alvarez-Vázquez, L.J.
  • Martínez, A.
  • Vázquez-Méndez, M.E.
  • Vilar, M.A.

Abstract

Common methods of controlling river pollution include establishing water pollution monitoring stations located along the length of the river. The point where each station is located (sampling point) is of crucial importance and, obviously, depends on the reasons for the sample. Collecting data about pollution at selected points along the river is not the only objective; must also be extrapolated to know the characteristics of the pollution in the entire river. In this work we will deal with the optimal location of sampling points. A mathematical formulation for this problem as well as an efficient algorithm to solve it will be given. Finally, in last sections, we will present numerical results obtained by using this algorithm when applied to a realistic situation in a river mouth.

Suggested Citation

  • Alvarez-Vázquez, L.J. & Martínez, A. & Vázquez-Méndez, M.E. & Vilar, M.A., 2006. "Optimal location of sampling points for river pollution control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 149-160.
    • Handle: RePEc:eee:matcom:v:71:y:2006:i:2:p:149-160
    DOI: 10.1016/j.matcom.2006.01.005
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    Cited by:

    1. Destandau François & Zaiter Youssef, 2020. "Spatio-Temporal Design for a Water Quality Monitoring Network Maximizing the Economic Value of Information to optimize the detection of accidental pollution," Post-Print hal-03373487, HAL.
    2. François Destandau & Youssef Zaiter, 2020. "Optimisation « économique » vs « physique » des réseaux de surveillance de la qualité de l'eau," Post-Print hal-03373478, HAL.
    3. Destandau François & Zaiter Youssef, 2020. "Optimizing the water quality monitoring network by maximizing the economic value of information," Post-Print hal-03373506, HAL.
    4. Mahmoud Saleh Al- Khafaji & Zahraa Abdulhussain Abdulraheem, 2017. "A Deterministic Algorithm for Determination of Optimal Water Quality Monitoring Stations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3575-3592, September.

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