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

Wenlong Jing, Heli Lu, Yaochen Qin, Chao Sun, Lin Jiang, Jincai Zhao
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引用次数: 3

Abstract

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.
基于NSGA-II的低碳发展多目标土地利用优化
人类活动引起的土地利用/土地覆盖变化(LUCC)是大气中CO2增加的主要来源。土地资源既是土地生态系统碳排放的自然载体,也是人类社会碳排放的空间载体。人类活动及其碳排放强度与土地利用格局有着十分密切的关系,探索低碳导向的土地利用范围和土地利用结构可以有效降低碳排放速率,也为低碳导向的土地利用规划提供参考。提出了基于低碳发展的多目标土地利用优化模型。将碳排放目标、经济效益目标和约束条件整合到土地利用多目标优化模型中,采用非支配排序遗传算法- ii (NSGA-II)对模型进行求解。通过对目标函数赋权系数,得到低碳、中碳、高碳三种情景下的土地利用格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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