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

• Published in: Journal of hydrology (Amsterdam) Vol. 560; pp. 86 - 96
• Main Authors: Wang, Qingrui, Liu, Ruimin, Men, Cong, Guo, Lijia
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2018
• Subjects: algorithms; arid lands; CLUE-S model; forests; Genetic algorithm; inorganic phosphorus; Land use change; land use planning; Markov chain; Non-point source pollution; nonpoint source pollution; paddies; pollution control; pollution load; prediction; rivers; Soil and Water Assessment Tool model; SWAT model; watersheds; Xiangxi watershed; Markov chain; Genetic algorithm; Land use change; CLUE-S model; SWAT model; Non-point source pollution; Xiangxi watershed

•CLUE-S and SWAT were used to simulate land use change and its corresponding NPS pollution.•Genetic algorithm was better than Markov chain method to predict the land use quantity change.•The optimal methods should be used to predict the quantity and pattern of landuse in the future. The genetic algo...