Y. Yang, How to Look at the GDP Receiving Much Attention, Revolution, issue.12, pp.201526-201558

S. Behmel, M. Damour, and R. Ludwig, Water quality monitoring strategies ??? A review and future perspectives, Science of The Total Environment, vol.571, pp.1312-1329
DOI : 10.1016/j.scitotenv.2016.06.235

S. Y. Park, J. H. Choi, and S. Wang, Design of a water quality monitoring network in a large river system using the genetic algorithm, Ecological Modelling, vol.199, issue.3, pp.199-289, 2006.
DOI : 10.1016/j.ecolmodel.2006.06.002

M. Chilundo and P. Kelderman, Design of a water quality monitoring network for the Limpopo River Basin in Mozambique, Physics and Chemistry of the Earth, Parts A/B/C, vol.33, issue.8-13, pp.33-655, 2008.
DOI : 10.1016/j.pce.2008.06.055

C. Chang and Y. Lin, A water quality monitoring network design using fuzzy theory and multiple criteria analysis[J]. Environmental monitoring and assessment 186, pp.6459-6469, 2014.

H. T. Ouyang, H. Yu, C. H. Lu, and Y. H. Luo, Design Optimization of River Sampling Network Using Genetic Algorithms, Journal of Water Resources Planning and Management, vol.134, issue.1, pp.83-87, 2008.
DOI : 10.1061/(ASCE)0733-9496(2008)134:1(83)

I. T. Telci, K. Nam, J. Guan, and M. M. Aral, Real Time Optimal Monitoring Network Design in River Networks, World Environmental and Water Resources Congress 2008, pp.1-10, 2008.
DOI : 10.1061/40976(316)336

L. A. Rossman, Storm water management model user's manual, version 5.0. Cincinnati, OH: National Risk Management Research Laboratory, 2010.

M. Reyes-sierra and C. C. Coello, Multi-objective particle swarm optimizers: A survey of the state-of-the-art, International journal of computational intelligence research, vol.2, issue.3, pp.287-308, 2006.

C. A. Coello and M. Lechuga, MOPSO: a proposal for multiple objective particle swarm optimization[C]. congress on evolutionary computation, pp.1051-1056, 2002.

I. T. Telci, K. Nam, J. Guan, and M. M. Aral, Optimal water quality monitoring network design for river systems, Journal of Environmental Management, vol.90, issue.10, pp.90-2987, 2009.
DOI : 10.1016/j.jenvman.2009.04.011