Copper smelting is a significant source of SO2 emission. It is important to quantify SO2 emissions from combustion sources for regulatory and control purposes in relation to air quality. The characteristics of SO2 emi...Copper smelting is a significant source of SO2 emission. It is important to quantify SO2 emissions from combustion sources for regulatory and control purposes in relation to air quality. The characteristics of SO2 emissions from copper smelting industry in Yurman Province, China, were examined. Analysis based on the present situation, material balance and measuring method were used to confirm SO2 emission factors of copper smelting industry. Results show that SO2 emission factors for Isa system, side blown-continuous converting system （SB-CC）, blast furnace-continuous converting systems （B-CC） and blast furnace-converter blowing （B-C） are 11.69-18.64, 62.44--101.4, 19.43-37.88 and 45.48-81.03 kg/t（blister copper）, respectively. The comprehensive emission factor based on all smelting plants is found to be in the range of 23-39.99 kg-SO2/t（blister copper） for Yunnan Province, China. The results are compared with those for discharge coefficients of industrial pollutants in the First National General Survey of Pollution Sources and the emission factor of the total amount of major pollutants. It is observed that there are some differences among emission factors.展开更多
Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analys...Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analysis of the energy consumption of residential buildings in Chongqing,China,on the impact of carbon emission factors. Three impacts are analyzed,namely per capita residential housing area,domestic water consumption and the rate of air conditioner ownership per 100 urban households. The gray prediction model established using the Chongqing carbon emission-residential building energy consumption forecast model is sufficiently accurate to achieve a measure of feasibility and applicability.展开更多
[目的]研究中部地区农业水土资源开发利用过程中能源消耗碳排放的时空格局演变规律,揭示其主要驱动因素,为助推中部地区农业低碳化绿色转型发展和实现“双碳”目标提供理论和数据参考。[方法]基于2010—2022年中部地区6省的社会经济数据...[目的]研究中部地区农业水土资源开发利用过程中能源消耗碳排放的时空格局演变规律,揭示其主要驱动因素,为助推中部地区农业低碳化绿色转型发展和实现“双碳”目标提供理论和数据参考。[方法]基于2010—2022年中部地区6省的社会经济数据,考察农业水土资源利用中能源消耗的碳排放,采用IPCC碳排放系数法测算2010—2022年中部地区农业碳排放量,借助Kaya恒等式和完全分解方法LMDI(logarithmic mean divisia index)加法形式,探讨农业碳排放的驱动因素及其贡献值,运用ArcGIS可视化深入剖析中部各省农业碳排放在时空维度上的演变趋势,并探析水土资源匹配度与农业碳排放之间的关系。[结果]①2010—2022年中部地区农业碳排放总量呈现先快速上升后波动下降的趋势。农业碳排放的环比增长率经历了阶段性下降演变过程。②农业碳排放强度是促使中部地区农业碳减排的最主要因素,农业水资源经济产出则是导致农业碳排放增长的第一大要素。2010—2022年研究区累计农业碳排放贡献值达562.28×10^(4) t。农业水资源经济产出因素和单位播种面积的农业用水量因素对中部地区农业碳排放的贡献存在正负两个方向的变动。③提高农业水土资源匹配度有助于抑制农业碳排放,但对各省的农业碳排放影响程度存在差异。[结论]未来应关注水土资源时空匹配问题及其生态环境效应,因地制宜采取差别化的耕作模式,优化配置和改善农业水土资源开发利用方式,促进农业低碳化转型。展开更多
基金Projects(KKK0201022137,KKK0201122183) supported by the Special Research Foundation of Yunnan Provincial Environmental Protection Bureau,China
文摘Copper smelting is a significant source of SO2 emission. It is important to quantify SO2 emissions from combustion sources for regulatory and control purposes in relation to air quality. The characteristics of SO2 emissions from copper smelting industry in Yurman Province, China, were examined. Analysis based on the present situation, material balance and measuring method were used to confirm SO2 emission factors of copper smelting industry. Results show that SO2 emission factors for Isa system, side blown-continuous converting system （SB-CC）, blast furnace-continuous converting systems （B-CC） and blast furnace-converter blowing （B-C） are 11.69-18.64, 62.44--101.4, 19.43-37.88 and 45.48-81.03 kg/t（blister copper）, respectively. The comprehensive emission factor based on all smelting plants is found to be in the range of 23-39.99 kg-SO2/t（blister copper） for Yunnan Province, China. The results are compared with those for discharge coefficients of industrial pollutants in the First National General Survey of Pollution Sources and the emission factor of the total amount of major pollutants. It is observed that there are some differences among emission factors.
基金Project(50838009) supported by the National Natural Science Foundation of ChinaProjects(2006BAJ02A09,2006BAJ01A13-2) supported by the National Key Technologies R & D Program of China
文摘Carbon emissions mainly result from energy consumption. Carbon emissions inevitably will increase to some extent with economic expansion and rising energy consumption. We introduce a gray theory of quantitative analysis of the energy consumption of residential buildings in Chongqing,China,on the impact of carbon emission factors. Three impacts are analyzed,namely per capita residential housing area,domestic water consumption and the rate of air conditioner ownership per 100 urban households. The gray prediction model established using the Chongqing carbon emission-residential building energy consumption forecast model is sufficiently accurate to achieve a measure of feasibility and applicability.
文摘[目的]研究中部地区农业水土资源开发利用过程中能源消耗碳排放的时空格局演变规律,揭示其主要驱动因素,为助推中部地区农业低碳化绿色转型发展和实现“双碳”目标提供理论和数据参考。[方法]基于2010—2022年中部地区6省的社会经济数据,考察农业水土资源利用中能源消耗的碳排放,采用IPCC碳排放系数法测算2010—2022年中部地区农业碳排放量,借助Kaya恒等式和完全分解方法LMDI(logarithmic mean divisia index)加法形式,探讨农业碳排放的驱动因素及其贡献值,运用ArcGIS可视化深入剖析中部各省农业碳排放在时空维度上的演变趋势,并探析水土资源匹配度与农业碳排放之间的关系。[结果]①2010—2022年中部地区农业碳排放总量呈现先快速上升后波动下降的趋势。农业碳排放的环比增长率经历了阶段性下降演变过程。②农业碳排放强度是促使中部地区农业碳减排的最主要因素,农业水资源经济产出则是导致农业碳排放增长的第一大要素。2010—2022年研究区累计农业碳排放贡献值达562.28×10^(4) t。农业水资源经济产出因素和单位播种面积的农业用水量因素对中部地区农业碳排放的贡献存在正负两个方向的变动。③提高农业水土资源匹配度有助于抑制农业碳排放,但对各省的农业碳排放影响程度存在差异。[结论]未来应关注水土资源时空匹配问题及其生态环境效应,因地制宜采取差别化的耕作模式,优化配置和改善农业水土资源开发利用方式,促进农业低碳化转型。
