Application of genetic algorithm to land use optimization for non-point source pollution control based on CLUE-S and SWAT

Author:

Wang Qingrui,Liu Ruimin,Men Cong,Guo Lijia

Funder

National Natural Science Foundation of China

Ministry of Education and Social Science Fund

Beijing Normal University

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference57 articles.

1. Multi-objective optimal design of hybrid viscoelastic/composite sandwich beams by using the generalized differential quadrature method and the non-dominated sorting genetic algorithm II;Arikoglu;Struct. Multidiscip. Optim.,2017

2. SWAT: Model use, calibration, and validation;Arnold;Trans. Asabe,2012

3. Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R., 1998. Large area hydrologic modeling and assessment part I: Model development1. Wiley Online Library.

4. Stochastic population dynamics in a Markovian environment implies Taylor’s power law of fluctuation scaling;Cohen;Theor. Popul Biol.,2014

5. Development of a constructed wetland network for mitigating nonpoint source pollution through a GIS-based watershed-scale inexact optimization approach;Dai;Ecol. Eng.,2015

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