Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Design of a Water Quality Monitoring Network in the Nakdong River using the Genetic Algorithm

유전자 알고리즘을 이용한 낙동강 유역의 수질 측정망 설계에 관한 연구

  • 박수영 (국립환경과학원 영산강물환경연구소) ;
  • 왕수균 (부경대학교 환경탐사공학과) ;
  • 최정현 (이화여자대학교 공과대학 환경공학과) ;
  • 박석순 (이화여자대학교 공과대학 환경공학과)
  • Received : 2007.08.16
  • Accepted : 2007.09.14
  • Published : 2007.09.30
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Abstract

This study proposes an integrated technique of Genetic Algorishim (GA) and Geographic Information System (GIS) for designing the water quality monitoring networks. To develop solution scheme of the integrated system, fitness functions are defined by the linear combination of five criteria which stand for the operation objectives of water quality monitoring stations. The criteria include representativeness of a river system, compliance with water quality standards, supervision of water use, surveillance of pollution sources and examination of water quality changes. The fitness level is obtained through calculations of the fitness functions and input data from GIS. To find the most appropriate parameters for the problems, the sensitivity analysis is performed for four parameters such as number of generations, population sizes, probability of crossover, and probability of mutation. Using the parameters resulted from the sensitivity analysis, the developed system proposed 110 water quality monitoring stations in the Nakdong River. This study demonstrates that the integrated technique of GA and GIS can be utilized as a decision supporting tool in optimized design for a water quality monitoring network.

Keywords

Acknowledgement

Supported by : 학술진흥재단

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