Comparison of Optimized Selection Methods of Sampling Sites Network for Water Quality Monitoring in a River

抄録

Design of water quality monitoring network in a river basin is most necessary when the cost concerns of the process is considered. The most of the methods have followed a set of objectives in the last few decades to find optimized selection of sampling locations. One of the main contributions of this paper is to design an optimized selection of sampling sites network considering the newly identified monitoring sites rather than the points which are available in the current network that exists. This study used four criteria including one urbanization factor which is in the development pressure index (DPI) rather than the factors environmental pressure index (EPI) to evaluate the objectives. Multi objective analysis method and genetic algorithm were applied for find optimal network and three constraints are used to obtain a practical solution. The other main purpose of this study is to compare the efficiency between method of genetic algorithm and the brute-force approach by considering the computation time of fitness functions. Further, the fitness function was defined using the linear combination of the criteria. Both proposed that the optimal water quality monitoring networks are reasonably sufficient to enhance the existing network in Kelani River. The genetic algorithm has a high performance to find the fitness functions even though all possible combinations of monitoring sites are identified by brute-force approach.