新会员名录

1989年7月22日批准人会牡人:翟建平、周小平、浦志忠、贾东、胡志宏、何水明、季峻峰、徐惠芳、张福勤、薛爱民、华佑南、戴长寿、吴乔良、尤宝华、吴笛、俞建宝、虞子冶、孟繁茂、周爱群、马德才、周有庆、刘远寿、张勤、倪卫泽、刘荣才、钱基、徐志斌、云武、马宏英、丁广成、杨廷波、李义昌、梁敦士、随旺华、徐佩芬、余志伟、汪伏龙1990年2月24日批准人会14了人陈小明、刘家润、尹琳、毕国平、王湘云、陈征宙、郭坤一、陈三元、吴礼道、阮宏宏、薛怀民、魏乃颐、汪迎平、张晓栋、刘卫红、钱迈平、邹永兴、吴炜、董茂兴、商玉强、聂志强…     

宁夏自治区生态农业地质研究及其前景

论述了宁夏回族自治区土壤元素含量和农作物优质高产与土壤环境中化学元素N、P、K、S、Fe、Mn、Cu、Zn、B、Mo、V、Sr、Ti、Mg、La、Ce、Pr、Nd、Sm、Eu、Y、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Ca、Co、Ni、F、Tl、Si、Na、Cr、Pb、Cd、Hg、Se、Ba、Te、Ta有密切的关系.提出了生态农业地质研究的目的、内容、方法、管理及其前景。     

四川省癌死亡率与土壤环境中化学元素的关系

利用中国癌死亡率与土壤坏境中化学元素的相关性成果，研究了四川省癌死亡率与土壤环境中化学元素：As、Cd、Co、Cu、Hg、Mn、Ni、Pb、Se、V、Li、Na、K、Rb、Cs、Mg、Ca、Sr、Ba、B、Al、Ga、In、Tl、Sc、Y、La、Ce、Pr、Nd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Th、U、Sn、Ti、Zr、Hf、Sb、Bi、Ta、Te、Mo、W、Br、I、Fe等52个元素含量的关系     

中国农业地质研究及其成效

论述了中国土壤质量和农作物优质高产与土壤环境中化学元素N、P、K、S、Fe、MR、Cu、ZB、B、Mo、V、Sr、Ti、Mg、La、Ce、Pr、Nd、Sm、Eu、Y、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Ga、Co、Ni、F、Tl、Si、Na、Cr、Pb、Cd、Hg、Se、Ba、Te、Ta及有机质、酸碱度、含水量、含盐量有密切的关系。提出了农业地质研究的目的、内容、方法及管理。     

地学界历年当选院士

195 5年、195 7年当选中国科学院院士的有 :尹赞勋、田奇、乐森 、许杰、孙云铸、李四光、杨钟健、何作霖、张文佑、武衡、孟宪民、侯德封、俞建章、顾功叙、黄汲清、斯行健、程裕淇、谢家荣、裴文中、王竹泉、冯景兰。1980年当选院士的有 :丁国瑜、马杏垣、王仁、王钰、王曰伦、王恒升、王鸿祯、业冶铮、叶连俊、卢衍豪、朱夏、刘东光、刘光鼎、关士聪、池际尚(女 )、孙殿卿、李春昱、李星学、杨遵义、吴汝康、谷德振、宋叔和、张伯声、张宗祜 (后为两院院士 )、张炳熹、陈国达、岳希新、周明镇、赵金斜、郝诒纯(女 )、秦馨菱、袁见齐、…     

作物产量与土壤环境的关系

作物的产量与土壤元素中Ｎ、Ｐ、Ｋ、Ｎａ、Ｃａ、Ｍｇ、Ｓ、Ｆｅ、Ｍｎ、Ｃｕ、Ｚｎ、Ｂ、Ｍｏ、Ｖ、Ｃｏ、Ｎｉ、Ｃｒ、Ｐｂ、Ｃｄ、Ｈｇ、Ｓｅ、Ｆ、ＴＩ、Ｂａ、Ｔｅ、Ｔａ、Ｓｒ、Ｔｉ、Ｓｉ等元素及稀土、有机质、酸碱度和含水量、含盐量密切有关。     

四川省土壤元素含量和生态农业地质研究

论述了四川省土壤元素含量和农作物优质高产与土壤环境中化学元素N、P、K、S、Fe、Mn、Cu、Zn、B、Mo、V、Sr、Ti、Mg、La、Ce、Pr、Nd、Sm、Eu、Y、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Ca、Co、Ni、F、F、Tl、Si、Na、Cr、Pb、Cd、Hg、Se、Ba、Te、Ta有密切的关系。提出了生态农业地质研究的目的、内容、方法、管理及其前景。     

江西省鄱阳湖地区地下水环境背景的形成

本文以丰富的实际资料,论证了鄱阳湖地区地下水的Mg,Ca、Na、K、SiO_2、Fe、Mu、Cr、V、Co、Ni、Ti、Be、Li、Sn、Mo、Cu、Pb、Zu、A_5、Hg、Cd、Sr、F、Cl、Br、I等27项化学成分背景的形成。     

中国不同构造单元花岗岩类元素丰度及特征

:依据采自全国范围内750个有代表性的大中型花岗岩类岩体上的767件组合样的实测分析数据,本文计算并提出了天山-兴安造山系、中朝准地台、昆仑-祁连-秦岭造山系、滇藏造山系、扬子准地台、华南-右江造山带、喜马拉雅造山带等中国七大构造单元花岗岩类和不同构造单元碱长花岗岩、正长花岗岩、二长花岗岩中SiO2、Al2O3、Fe2O3、FeO、MgO、CaO、Na2O、K2O、H2O 、CO2、TFe2O3、Ag、As、Au、B、Ba、Be、Bi、Cd、Cl、Co、Cr、Cs、Cu、F、Ga、Ge、Hf、Hg、Li、Mn、Mo、Nb、Ni、P、Pb、Rb、S、Sb、Sc、Se、Sn、Sr、Ta、Th、Ti、Tl、U、V、W、Zn、Zr、La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu和Y等近70种化学元素和成分的丰度,探讨了不同构造单元花岗岩类岩石的岩石化学特征和微量元素丰度的特征及其区域分布。     

中国金属学会冶金地质学会第二届理事会、办事机构组成人员名单及挂靠单位

理事长:关广岳副理事长:姚培慧、杨敏之(常务)、王继伦、蒋志秘书长:马文念理事:(以姓氏笔划为序) 马文念、马晋屏、王可南、王永基、王雪曼、王家盛、王继伦、刘立民、刘益康、石准立、关广岳、朱奉三、向振泽、华祥征、陈文森、陈炳鉽、陈希廉、李同聚、李色篆、李章大、李惠、宋雄、杨尔煦、杨敏之、林根芳、林镇泰、周世泰、周传新、金成洙、姚培慧、姚春柏、侯景儒、钟汉、唐肖玫、宫润潭、陆盛鼎、     

熔体-溶液体系中元素分配系数:新资料及其研究方向

基于近几年来国内外学者测得的熔体-溶液体系中F、Cl、P、CO_2、B、Au、Pb、Zn、Cu、Fe、Mg、Li、Rb、Cs、K、Na、Ca、Sr、Ba、Co、Ni、Be、Mo、W、Si、Al、REE、Sc、Ti、U、Th、Zr、Hf、Nb、Pt、Ir、Pd等元素的分配系数,从元素性质、溶液成分(阴离子和阳离子)、熔体成分和物理化学条件等方面进一步分析总结了分配系数变化规律,并提出了预测未知元素分配系数的元素性质准则、溶液成分准则、熔体成分准则和物理化学条件准则,最后指出了这一研究领域今后的研究方向。     

Abundances and modes of occurrence of trace elements in the Çan coals (Miocene), Çanakkale-Turkey

This study presents the concentrations and modes of occurrence of trace elements in 81 coal samples from the Çan basin of northwestern Turkey. The concentration of trace elements in coal were determined by inductively coupled plasma-mass spectrometry and inductively coupled plasma-atomic emission spectrometry. Additionally, traditional coal parameters were studied by proximate, ultimate, X-ray diffraction, and petrographic analyses. Twenty trace elements, including As, B, Ba, Be, Cd, Cu, Co, F, Hg, Mo, Ni, Pb, Sb, Se Sn, Th, Tl, U, V, and Zn, receive much attention due to their related environmental and human health concerns. The Çan coals investigated in this study are lignite to sub-bituminous coal, with a broad range of ash yields and sulphur contents. The trace element concentrations show variety within the coal seams in the basin, and the affinities vary among locations. The concentrations of B, Ba, Be, Cd, Cu, Co, F, Hg, Mo, Ni, Pb, Sb, Se, Sn, Tl, and Zn in Çan coals are within the Swaine's worldwide concentration range, with the exception of As, Th, U, and V. On the other hand, compared with world coals, the Çan basin coals have higher contents of As, B, Cu, Co, Mo, Pb, Th, U, V, and Zn. Based on statistical analyses, most of the trace elements, except for U, show an affinity to ash yield. Elements including As, Cd, Hg, Se, Cu, Mo, Ni, and Zn, show a possible association with pyrite; however, the elements Se, B, and Mo can be have both organic and inorganic associations.     

来自蛇绿岩地幔的硫（砷）化物矿物组合

近来在西藏雅鲁藏布江蛇绿岩带的罗布莎蛇绿岩块的地幔豆荚状铬铁矿中发现一个包括金刚石、柯石英、自然元素、合金、氧化物以及硫(砷)化物组成的地幔矿物群。该矿物群的硫(砷)化物具有特殊化学成分并呈包裹体分布在贱金属(BM)和铂族元素(PGE)或它们的合金中,大量化学成分分析得知它们主要由下列元素组成:S、As、Te、Fe、Ni、Co、Cu、Pt、Pd、Ru、Rh、Os、Ir、Mn和Ti。根据化学成分可辨别出约30种硫(砷)化物矿物:FeS、NiS、(Ni,Fe)S、Fe3S2、Ni3S2、(Ru,Os,Ir)S2、Rh7As3、Rh5Ni(Cu)As4、Pd4Rh3As3、Pd8As2、Pd3TeAs、Pd7Te3、RuAs、PtAs2、Ni4Rh3As3、Rh(As,S)2、(Rh,Ir)(As,S)2、Ir(As,S)2、MnS、Ti7S3、Ti7N3、Rh3.5Se3.5CuS2、RhS、Ir2S3、(Ir,Cu)2、S3(Co,Ni,Fe)2(As,S)3、(Ir,Pt)(As,S)2、Ru3(As,S)7以及(BM)x(PGE)yS10-(x y)等,其中包括已定名和未定名的矿物。由于矿物粒度小(<25μm),缺乏X射线分析资料,有待进一步研究。     

Bottled drinking water: Water contamination from bottle materials (glass,hard PET,soft PET), the influence of colour and acidification

A test comparing concentrations of 57 chemical elements (Ag, Al, As, B, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Dy, Er, Eu, Fe, Ga, Gd, Ge, Hf, Ho, I, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Nd, Ni, Pb, Pr, Rb, Sb, Se, Sm, Sn, Sr, Ta, Tb, Te, Th, Ti, Tl, Tm, U, V, W, Y, Yb, Zn and Zr) determined by inductively coupled plasma quadrupole mass spectrometry (ICP-QMS) in 294 samples of the same bottled water (predominantly mineral water) sold in the European Union in glass and PET bottles demonstrates significant (Wilcoxon rank sum test, α = 0.05) differences in median concentrations for Sb, Ce, Pb, Al, Zr, Ti, Th, La, Pr, Fe, Zn, Nd, Sn, Cr, Tb, Er, Gd, Bi, Sm, Y, Lu, Dy, Yb, Tm, Nb and Cu. Antimony has a 21× higher median value in bottled water when sold in PET bottles (0.33 vs. 0.016 μg/L). Glass contaminates the water with Ce (19× higher than in PET bottles), Pb (14×), Al (7×), Zr (7×), Ti, Th (5×), La (5×), Pr, Fe, Zn, Nd, Sn, Cr, Tb (2×), Er, Gd, Bi, Sm, Y, Lu, Yb, Tm, Nb and Cu (1.4×). Testing an additional 136 bottles of the same water sold in green and clear glass bottles demonstrates an important influence of colour, the water sold in green glass shows significantly higher concentrations in Cr (7.3×, 1.0 vs. 0.14 μg/L), Th (1.9×), La, Zr, Nd, Ce (1.6×), Pr, Nb, Ti, Fe (1.3×), Co (1.3×) and Er (1.1×).     

Environmental quality evaluation of the Vacacaí River, Rio Grande do Sul, Brazil

The water quality of the Vacacaí River was assessed at different sites in the period between winter 2005 and autumn 2006. All samples were analyzed for 52 elements (Sc, Y, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Th, Li, Be, Mg, Al, Ca, V, Cr, Mn, Fe, Ni, Co, Cu, Zn, Ga, As, Se, Rb, Sr, Ag, Cd, In, Cs, Ba, Tl, Pb, Bi, U, Na, K, Hg, B, Mo, Sn, Te, Ti), temperature, pH, ammonia, and alkalinity levels. Water from the Vacacaí River ranged from slightly acidic to alkaline. No difference was observed in the chemical composition at different sites of the Vacacaí River. Levels of Ba, Ca, Sr and Mg increase in the dry seasons and reach their highest concentrations in autumn; Be and U decrease in the dry season and reach their highest concentration in spring. Al, Fe, Cr, Ni, Th, U Mn, Ca and Mg are highly positively related, indicating a common origin. Se and Cu are probably from anthropogenic source, from the rice crops of the margins of the river. Waterborne Al and Fe levels were above the desirable level for drinking water at all sites during all seasons. These results demonstrate the need for constant monitoring of water parameters, which is crucial to ensure water quality for the population of this region.     

Wavelength-dispersive X-ray fluorescence spectrometric determination of Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in komatiites

Komatiites are mantle-derived ultramafic volcanic rocks. Komatiites have been discovered in several States of India, notably in Karnataka. Studies on the distribution of trace-elements in the komatiites of India are very few. This paper proposes a simple, accurate, precise, rapid, and non-destructive wavelength-dispersive x-ray fluorescence (WDXRF) spectrometric technique for determining Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in komatiites, and discusses the accuracy, precision, limits of detection, x-ray spectral-line interferences, inter-element effects, speed, advantages, and limitations of the technique. The accuracy of the technique is excellent (within 3%) for Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Zr, Nb, Ba, Pb, and Th and very good (within 4%) for Y. The precision is also excellent (within 3%) for Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th. The limits of detection are: 1 ppm for Sc and V; 2 ppm for Cr, Co, and Ni; 3 ppm for Cu, Zn, Rb, and Sr; 4 ppm for Y and Zr; 6 ppm for Nb; 10 ppm for Ba; 13 ppm for Pb; and 14 ppm for Th. The time taken for determining Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Y, Zr, Nb, Ba, Pb, and Th in a batch of 24 samples of komatiites, for a replication of four analyses per sample, by one operator, using a manual WDXRF spectrometer, is only 60 hours.     

Chemistry of Aerosols over Chukchi Sea and Bering Sea

The contents of elements in aerosols sampled during the First Chinese Arctic Research Expedition (CHINARE-1) show great differences from one element to another. Na, K,Ca, Mg, A1, F, and Cl are the major components in the aerosols, whose contents are larger than 30 ng/m^3. The chemical elements whose contents vary between 0.1 - 30 ng/m^3 are Br,Sr, Cr, Ni, and Zn. The chemical elements whose contents are close to or slightly higher than 0.1 ng/m^3 are Rb, Ba, Zr, Th, and Pb. The contents of As, Sb, W, Mo, Au, La, Ce, Nd,Sin, Eu, Tb, Yb, Lu, Sc, Co, Hf, Ta, and Cd are less than 0.1 ng/m^3. The mass concentration data for the same element, as observed during CHINARE-1, are almost accordant, but much lower than what is observed in the China‘ s seas or the coasts of China. The enrichment factor and electron microscopic analyses and lead isotope tracing were used to distinguish their sources.Four groups of sources can be classified as follows: anthropogenic: As, Sb, W, F, Mo, Au,Cu, Pb, Cd, V; crustal: La, Ce, Nd, Sm, Eu, Tb, Yb, Lu, Fe, Sc, Cr, Co, Ba, Zr, Hf,Ta, Cs, Mn, Th, U; oceanic:Na, K, Ca, and Mg; and mixing: Rb, Sr, Ca, and Mg.     

基于资源理论的黄河干流水资源评价

采用循化、小川、兰州、下河沿、青铜峡、石嘴山、三湖河口、头道拐、吴堡、龙门、潼关、三门峡、花园口、泺口和利津共15个黄河干流沿线水文监测断面,计算各水文监测断面水资源多年平均组成。各水文断面监测项目包括水位、流量、气温、水温、pH、电导率、钙、镁、钾、氯离子、硫酸根离子、碳酸根离子、碳酸氢根离子、离子总量、溶解氧、氨氮、亚硝酸盐氮、硝酸盐氮、高锰酸盐指数、生化需氧量、氰化物、砷化物、挥发酚、六价铬、汞、镉、铅、铜、铁、锌和细菌总数等。基于资源理论,采用指标对黄河干流水量和水质进行了统一度量。根据黄河干流实测数据,对水资源化学、物理和生物进行核算,并分析多年水资源变化趋势以模拟黄河干流水资源空间分布状况。最后,势高概念的提出为进一步量化和比较黄河干流的生态发展状况提供基础。