Multi-objective land use optimization based on low-carbon development using NSGA-II

Land use/land cover change (LUCC) caused by human beings is the main source of the increases of CO² in the atmosphere. Land resource is not only the natural carrier of carbon emission of land ecosystems, but also the spatial carrier of carbon emission from human society. Human activity and its carbon emission intension have a very close relationship with the land use pattern, exploration on the low-carbon oriented land use scope, and land use structure can effectively reduce the rate of carbon emission, and also provides consults to low-carbon oriented land use planning. This paper presents a multi-objective land use optimization model based on low-carbon development. Carbon emission, economic benefit objectives, and constraint conditions are integrated into the multi-objectives optimization model of land use, and the model was solved with non-dominated sorting genetic algorithm-II (NSGA-II). And through providing weight coefficients to the objective functions, land use patterns in three scenarios (low-carbon, mid-carbon, high-carbon) were obtained.