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矿产地数据库建设若干问题分析 被引量:1
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作者 武国忠 李婷婷 +2 位作者 贾黎黎 罗雪丰 赵艺 《地质学刊》 CAS 2015年第3期395-399,共5页
针对矿产地建库及应用中遇到的若干问题进行分析,主要包括资源量属性项的填写、矿产地的位置不准确、矿产地过于密集、矿产地的原始资料录入、矿产地资料的应用等问题。同时提出了现阶段比较可行的处理方案,并对一些处理方案的优缺点进... 针对矿产地建库及应用中遇到的若干问题进行分析,主要包括资源量属性项的填写、矿产地的位置不准确、矿产地过于密集、矿产地的原始资料录入、矿产地资料的应用等问题。同时提出了现阶段比较可行的处理方案,并对一些处理方案的优缺点进行了讨论。 展开更多
关键词 矿产地数据库 属性结构 原始资料 分矿种 广东
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有色金属国际价格波动的影响因素研究 被引量:9
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作者 成金华 尤喆 +1 位作者 朱永光 鄢红兵 《中国人口·资源与环境》 CSSCI CSCD 北大核心 2017年第7期35-45,共11页
有色金属作为国际上流通量较大的大宗产品,近年来其价格的频繁剧烈波动受到学界和业界的高度关注。从有色金属国际贸易的交易量数据看,中国、美国、巴西等20个国家是有色金属国际贸易的主体,贸易量较大的是铜、铝、铅、锌四种有色金属... 有色金属作为国际上流通量较大的大宗产品,近年来其价格的频繁剧烈波动受到学界和业界的高度关注。从有色金属国际贸易的交易量数据看,中国、美国、巴西等20个国家是有色金属国际贸易的主体,贸易量较大的是铜、铝、铅、锌四种有色金属。本文选取了国际贸易中铜、铝、铅、锌四种有色金属的主要进口国和出口国,在已有研究的基础上,从供需、实体经济和货币金融三个维度选取变量,运用国家之间构成的面板数据,建立PVAR模型,分析四种有色金属价格的波动及其影响因素;通过铜、铝、铅、锌四种有色金属价格的脉冲响应函数,比较分析铜、铝、铅、锌四种有色金属价格波动影响因素的不同。研究发现:(1)铜、铝、铅、锌四种有色金属价格波动均受国内生产总值和货币供应量的影响,供需因素对有色金属价格产生长期的影响,货币供给量对有色金属价格的影响短暂而剧烈;(2)国内生产总值和贸易量与铜价的波动密切相关,货币供应量和消费者价格指数与铝、铅、锌价格的波动密切相关;(3)有色金属主要贸易国的各个变量对铜、铝、铅、锌价格波动的贡献程度不同。铜贸易国的贸易量对铜价波动的贡献度要高于其他有色金属贸易国家;铝、铅、锌贸易国家的金融因素对铝、铅、锌价格的影响要强于铜贸易国家。最后,本文从进口国角度对中国有色金属进口提出了建议:中国是铜、铝、铅、锌四种有色金属的最大进口国,应密切关注有色金属价格走势,建立健全有色金属价格的实时监测和预警机制,加快对有色金属价格波动的反应速度,利用金融手段避险趋利。 展开更多
关键词 有色金属价格 影响因素 分矿种比较 PVAR模型
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Elemental Content in Wheat Products of Asir Region, Saudi Arabia
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作者 Omar Abdulrahman Fahad A1-Dayel Saad Ali. AlKahtani 《Journal of Chemistry and Chemical Engineering》 2010年第5期8-13,共6页
Wheat is one of the most grown crops in Saudi Arabia. Accurate knowledge of the various elemental concentrations in wheat and its products (bran and flower) is of great importance from nutrition point of view. Wheat... Wheat is one of the most grown crops in Saudi Arabia. Accurate knowledge of the various elemental concentrations in wheat and its products (bran and flower) is of great importance from nutrition point of view. Wheat samples were obtained from Asir region, 900 Km southern of Riyadh, and analyzed. Up to 50 elements in wheat products were determined. It was observed that the mineral content of bran was much higher than white flour. 展开更多
关键词 WHEAT BRAN SEMOLINA neutron activation analysis (NAA).
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Distribution of mineral species in different coal seams of Talcher coalfield and its transformation behavior at varying temperatures 被引量:4
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作者 Amit Banerjee P. R. Mishra +4 位作者 Ashok Mohanty K. Chakravarty R. Das Biswas R. Sahu S. Chakravarty 《International Journal of Coal Science & Technology》 EI 2016年第2期97-103,共7页
Mineral phase characterization and thorough understanding of its transformation behavior during combustion are imperative to know the potential utilization of coal in the thermal industries. The primary objective of t... Mineral phase characterization and thorough understanding of its transformation behavior during combustion are imperative to know the potential utilization of coal in the thermal industries. The primary objective of this work is to analyze the quality of Indian Coals and obtain their mineral species-specific information at different depths. The samples were obtained from Talcher Coalfield, Odisha, India. Coal from four seam sections in the Talcher coalfield, India are mainly high ash coal (〉50 %) and volatile matter deceases along with the seam depth. XRD results show that the major mineral phases present in the coal are quartz and kaolinite. Siderite, illite, and anatase were found in minor quantities. It has been observed that the clay minerals (kaolinite, silimanite, illite) decompose at higher temperature and traces of dolomite, mullite, hematite etc. are formed during the process of combustion. Among the four seams (M2, M12, M24 and M43) studied, ash of M43 has high A1203%, TIO2% and K20% content and low SIO2%, CaO% and MgO% content. High acid- to-base ratios contributed to high ash fusion temperatures (IDT 〉 1500 ℃) and low slagging potential of the coals studied. Relatively low fouling index (〈0.3) was estimated for all the coal seams studied. Furthermore, thermodynamic modeling software, FactSage, have been used to envision the mineral phase transformations that take place between 800 and 1500℃ during coal combustion. 展开更多
关键词 Proximate analysis - Ultimate analysis FactSage XRD AFT Talcher coalfield
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