Paper
4 February 2011 Study on the low-carbon and environmentally friendly land use patterns in Xinjiang, China
Chun-ling Pu, Hui-rong Yu
Author Affiliations +
Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77521C (2011) https://doi.org/10.1117/12.887940
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China
Abstract
The purposes of this paper are first to explore the low-carbon and environment-friendly land-use patterns in Xinjiang, and provide a new visual angle for the new land-use planning and the "12th Plan" of Xinjiang. The methods of document literature, theoretical analysis, clustering analysis and GIS spatial data analysis are employed. The results indicate that there can be three compositive carbon functional zones in the view of reducing carbon source and increasing carbon sink, they are the Main Carbon-source Zone, Significant Carbon-sink Zone, and Carbon Neutralization Zone. Based on the three functional zones, there are relative low-carbon and environment-friendly land use patterns respectively, which are characteristic eco-design type of low-carbon land-use pattern, economical and intensive type of low-carbon land-use pattern, ecological conservation type of carbon-sequestration land-use pattern, and efficient carbon type of carbon-sequestration land-use pattern. It is concluded that the establishment of low-carbon and environment-friendly land-use patterns does benefit to harmonize and unify the economic value, social value, and ecological value essentially.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chun-ling Pu and Hui-rong Yu "Study on the low-carbon and environmentally friendly land use patterns in Xinjiang, China", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77521C (4 February 2011); https://doi.org/10.1117/12.887940
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KEYWORDS
Carbon

Agriculture

Wind energy

Pollution control

Ecosystems

Atmospheric modeling

Pollution

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