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CHINA’S GLOBAL LITHIUM CARBONATE TRADING POSITION BASED ON COMPLEX NETWORK
Zhu Li-li, Yang Bei-bei, Yang Xue-song.
Resources & Industries    2016, 18 (5): 14-.   DOI: 10.13776/j.cnki.resourcesindustries.20161024.010
Abstract393)      PDF(pc) (1225KB)(611)       Save
According to the complex network theory, this paper establishes a complex network model of lithium carbonate global trading, uses lithium carbonate global trading data of UNcomtrade database 20052014 to calculate the degree, weighted degree, clustering coefficient, and modularity, trading group model degree & group change of China’s lithium carbonate in global trading network, with results showing rising trading partners, ranking No.2 in holding international trading relation numbers, which diversifies import and export. China keeps a close and stable relation with partners. Among the entire complex international trading network of lithium carbonate, China has a higher control rights but a descending controlling ability.
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A CASE STUDY ON SICHUAN’S MATURE RESOURCE BASED CITIES: SUSTAINABLE DEVELOPMENT AND INDUSTRIAL UPGRADE IN RESOURCE BASED CITIES
Yang Xue
Resources & Industries    2016, 18 (5): 1-6.   DOI: 10.13776/j.cnki.resourcesindustries.20161024.005
Abstract410)      PDF(pc) (1795KB)(850)       Save
This paper, based on on site investigation, studies their sustainable development and industrial upgrade in Sichuan’s mature resource based cities, establishes an evaluation index system from resources, economy, society and eco environment, including 4 level1 and 8 level2 indexes, which are given weights through Delphi. Among Sichuan’s 9 mature resource based cities, Panzhihua is in sustainable development, Zigong, Guangyuan and Guang’an are in moderately sustainable development, Mianzhu, Liangshan, Dazhou, Xingwen and Ya’an are in initially sustainable development. This paper presents suggestions and paths for upgrading industrial transformation.
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ATMOSPHERIC PARTICLE POLLUTION AND ITS FACTORS IN BEIJING
SUN Jun-ling LIU Da-meng YANG Xue
Resources & Industries    2009, 11 (1): 96-100.  
Abstract5360)      PDF(pc) (1378KB)(1948)       Save

Air PM2.5and PM10 samples that were concurrently collected during March 5-14, 2008 were analyzed in their pollution level, daily changing trend, the ratios of PM2.5/PM10, and influent factors with results indicating that the daily average concentration of PM10 was 220.0 μg/m3, 46.7% more than the second national standard (150 μg/m3), and that the daily average concentration of PM2.5 was 132.5 μg/m3, 103.8% more than the US’s standard. This reveals a severe atmospheric particle pollution in this area. PM2.5 which is more harmful to human is a major component of PM10, about 63.6% on average. PM2.5 and PM10 concentration has a good correlation with humidity and wind velocity, increasing with the increasing of humidity and the temperature, and decreasing with the increasing of wind velocity. The meteorological conditions plays a key role in atmospheric particle pollution. This paper presents a reference to prevent air particulate pollution and to make policies.

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