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Application of information theory to design and evaluate discharge monitoring network: A case study on Surma River
  • Bijit Kumar Banik,
  • Afiya Saiara,
  • Sarah Fatema Tabassum
Bijit Kumar Banik
Shahjalal University of Science and Technology

Corresponding Author:bijit-cee@sust.edu

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Afiya Saiara
Shahjalal University of Science and Technology
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Sarah Fatema Tabassum
Shahjalal University of Science and Technology
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Abstract

In developing countries like Bangladesh, river discharge monitoring networks are designed unseemly, operated poorly, and often fail to reach their purposes resulting in the unavailability of sufficient data to describe the behavior of such systems. In these cases, water-related decisions may create problems for the environment, the regional economy, and society. This paper has investigated the application of Shannon’s Information Theory to design and evaluate an efficient discharge monitoring network for the Surma River. A 1-D model has been formulated to extract all discharge data at different points of Surma River using MIKE 11. The appropriate monitoring station locations were determined by optimizing two conflicting objective functions (joint entropy and total correlation) using the Non-dominated Sorting Genetic Algorithm-II and Greedy algorithm. The study demonstrates that an informative yet less redundant monitoring network configuration can be found through the greedy algorithm.