Publications by authors named "Lancui Liu"

2 Publications

  • Page 1 of 1

Environmental concern-based site screening of carbon dioxide geological storage in China.

Sci Rep 2017 08 8;7(1):7598. Epub 2017 Aug 8.

State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, 430071, China.

Environmental impacts and risks related to carbon dioxide (CO) capture and storage (CCS) projects may have direct effects on the decision-making process during CCS site selection. This paper proposes a novel method of environmental optimization for CCS site selection using China's ecological red line approach. Moreover, this paper established a GIS based spatial analysis model of environmental optimization during CCS site selection by a large database. The comprehensive data coverage of environmental elements and fine 1 km spatial resolution were used in the database. The quartile method was used for value assignment for specific indicators including the prohibited index and restricted index. The screening results show that areas classified as having high environmental suitability (classes III and IV) in China account for 620,800 km and 156,600 km, respectively, and are mainly distributed in Inner Mongolia, Qinghai and Xinjiang. The environmental suitability class IV areas of Bayingol Mongolian Autonomous Prefecture, Hotan Prefecture, Aksu Prefecture, Hulunbuir, Xilingol League and other prefecture-level regions not only cover large land areas, but also form a continuous area in the three provincial-level administrative units. This study may benefit the national macro-strategic deployment and implementation of CCS spatial layout and environmental management in China.
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http://dx.doi.org/10.1038/s41598-017-07881-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548788PMC
August 2017

High resolution carbon dioxide emission gridded data for China derived from point sources.

Environ Sci Technol 2014 Jun 5;48(12):7085-93. Epub 2014 Jun 5.

The Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning , 8 Dayangfang, Beiyuan Road, Chaoyang District, Beijing 100012, China.

A high spatial resolution carbon dioxide (CO2) emission map of China is proving to be essential for China's carbon cycle research and carbon reduction strategies given the current low quality of CO2 emission data and the inconsistencies in data quality between different regions. Ten km resolution CO2 emission gridded data has been built up for China based on point emission sources and other supporting data. The predominance of emissions from industrial point sources (84% of total emissions) in China supports the use of bottom-up methodology. The resultant emission map is informative and proved to be more spatially accurate than the EDGAR data. Spatial distribution of CO2 emissions in China is highly unbalanced and has positive spatial autocorrelation. The spatial pattern is mainly influenced by key cities and key regions, i.e., the Jing-Jin-Ji region, the Yangtze River delta region, and the Pearl River delta region. The emission map indicated that the supervision of 1% of total land could enable the management of about 70% of emissions in China.
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http://dx.doi.org/10.1021/es405369rDOI Listing
June 2014