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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wenlong Jing Heli Lu Yaochen Qin Chao Sun Lin Jiang Jincai Zhao |
| Copyright Year | 2013 |
| Description | Author affiliation: Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China (Wenlong Jing; Heli Lu; Yaochen Qin; Chao Sun; Lin Jiang; Jincai Zhao) |
| Abstract | Land use/land cover change (LUCC) caused by human beings is the main source of the increases of $CO^{2}$ 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. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 437198 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467362283 |
| ISSN | 2161024X |
| DOI | 10.1109/Geoinformatics.2013.6626051 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics NSGA-II Sociology Low-carbon development Land use optimization Carbon dioxide Linear programming Statistics Optimization Biological cells |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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