海南岛地表水的区域地球化学特征及其影响因素

始于2004年的海南岛多目标生态地球化学调查,对全岛的地表水进行了区域调查取样,分析测试了24项指标(部分样品增加测试12项)。测试结果表明,大多数指标优于国家地表水环境质量标准(GB3838-2002)中III类水体水质标准,只有Hg和总氮存在区域性的超Ⅲ类水体水质。经对样品的聚类分析研究表明,全岛地表水样品主要分为4类,分别反映了地表植被、海水入侵、灌溉水田排水、矿山废水排放对地表水化学成分的控制作用。在此认识的基础上,依地表水样品所处的土地利用方式的不同,按一定顺序对样品进行编号赋值(沿海的土地视为"海洋利用方式"),该赋值与聚类分析所得到的样品类别值之间存在极显著的正相关性,相关系数达0.8280,表明海南岛的土地利用方式是控制地表水地球化学特征的关键因素,从而为海南岛地表水环境质量的保护和提高指出了方向。     

闽西南地区燕山晚期花岗岩黑云母特征及成因意义

本文通过黑云母的电子探针方法测试,分析闽西南地区才溪岩体、四方岩体及罗卜岭岩体中黑云母的地球化学特征及其成因意义。测试结果表明,才溪二长花岗岩中的黑云母为高铁黑云母,而四方花岗闪长岩及罗卜岭花岗闪长斑岩中的黑云母为高镁黑云母,在由黑云母成分确定的物质来源图上,它们均落入壳-幔混合源区域,表明其成因类型都是壳-幔混源型花岗岩,但随着形成时代的逐渐变新,其物质组成成分中幔源组分逐渐增多。     

粮食蔬菜与土壤和大气中苯并（a）芘含量的相关性研究

对山西省运城市盐湖区不同区域内小麦、西红柿、白菜和土壤中B（a）P含量的空间一时间分布及大气、土壤与粮食、蔬菜中B（a）P含量关系进行了调查研究,结果表明,粮食和蔬菜中的B（a）P主要来自大气污染的“贡献”,土壤中的B（a）P的含量也直接影响粮食和蔬菜中B（a）P的含量。当小麦子实中B（a）P的含量达到一定水平后,并不随土壤中B（a）P含量的增加而增加。     

大连市土壤中汞背景值影响因素分析

主要研究了土类、母岩,质地、有机质、土地利用方式、地貌等不同土壤环境因子对大连市土壤中汞背景值的影响,通过各环境因子变异系数的计算得知影响的主要因素是土地利用方式和母岩。给出了大连市土壤中汞的自然背景含量。分析表明,大连市土壤汞背景值偏高是由于母岩的不同及工农业生产活动的影响所致。     

达索普冰芯中现代环境信息记录

１９９６－０７－０８,中美联合考察队成功地考察了希夏邦马地区达索普冰川,并提出了一支２０ｍ长的冰芯,这支冰芯是迄今为止世界上海拔最高的冰芯。对资料分析发现离子含量变经显示强烈的周期性变化,反映了季节变化的特征。离子浓度高低变化将指示气候的冷暖变化,并与δ＾１８Ｏ存在着对应关系,     

对"有毒重金属"实施2种总量控制监管方式的利害分析

首先,必须明确认定：对第一类污染物实施《源头总量控制》是污控执法和促进经济结构改革的保证条件.这种监管方式自2008年《第一次全国污染源普查工业污染源产排污系数手册》公布以来,更具有其切实实施的可行性.《源头总量控制》与《水环境总量控制》两种监管方式既是各自独立、缺一不可,又是相互依赖和相互补充的关系,目前一些地方的规划管理者模糊和混淆了两类污染物和两种监管的内容和方式,笼统以《水环境总量控制》来监管所有污染物,丢弃了《源头总量控制》,使本应严加管理的饮用水水源地丧失了控制第一类污染物的能力.我国《地面水环境质量标准》（GB 3838-88）中第一类污染物的水质指标与我国实际的水环境背景值有很大差距,存在着＂放宽允排量＂和＂价态转化引发危害＂的问题;以一个10 t电解铅的企业为例,证明两种监管方式的铅允排量相差甚大.总之,把第一类污染物与第二类污染物统一实施《水环境容量总量控制》将带来众多的危害,应当严格实施《源头总量控制》与《水环境总量控制》相结合的监管方式.     

Sequence of the main geochemical controls on the Cu and Zn fractions in the Yangtze River estuarine sediments

Metal speciation can provide sufficient information for environmental and geochemical researches. In this study, based on the speciation determination of Cu and Zn in the Yangtze Estuary sediments, roles of eight geochemical controls (i.e., total organic carbon (TOC), clay, Fe/Mn in five chemical fractions and salinity) are fully investigated and sequenced with correlation analysis (CA) and principal components analysis (PCA). Results show that TOC, clay and Fe/Mn oxides are key geochemical factors affecting the chemical speciation distributions of Cu and Zn in sediments, while the role of salinity appears to be more indirect effect. The influencing sequence generally follows the order: TOC>clay>Mn oxides>Fe oxides>salinity. Among the different fractions of Fe/Mn oxides, residual and total Fe content, and exchangeable and carbonate Mn exert the greatest influences, while exchangeable Fe and residual Mn show the poorest influences.     

Key features of new particle formation events at background sites in China and their influence on cloud condensation nuclei

New particle formation (NPF) event at multi rural sites in China Identifying the characteristics of NPF event Comparing NPF event between clean and polluted conditions Quantifying contribution to the cloud condensation nuclei Implication of climate and air quality Long-term continuous measurements of particle number size distributions with mobility diameter sizes ranging from 3 to 800 nm were performed to study new particle formation (NPF) events at Shangdianzi (SDZ), Mt. Tai (TS), and Lin’an (LAN) stations representing the background atmospheric conditions in the North China Plain (NCP), Central East China (CEC), and Yangtze River Delta (YRD) regions, respectively. The mean formation rate of 3-nm particles was 6.3, 3.7, and 5.8 cm⁻³·s⁻¹, and the mean particle growth rate was 3.6, 6.0, and 6.2 nm·h⁻¹ at SDZ, TS, and LAN, respectively. The NPF event characteristics at the three sites indicate that there may be a stronger source of low volatile vapors and higher condensational sink of pre-existing particles in the YRD region. The formation rate of NPF events at these sites, as well as the condensation sink, is approximately 10 times higher than some results reported at rural/urban sites in western countries. However, the growth rates appear to be 1–2 times higher. Approximately 12%–17% of all NPF events with nucleated particles grow to a climate-relevant size (>50 nm). These kinds of NPF events were normally observed with higher growth rate than the other NPF cases. Generally, the cloud condensation nuclei (CCN) number concentration can be enhanced by approximately a factor of 2–6 on these event days. The mean value of the enhancement factor is lowest at LAN (2–3) and highest at SDZ (~4). NPF events have also been found to have greater impact on CCN production in China at the regional scale than in the other background sites worldwide.     

中国区域HCFC-142b排放量模式反演研究

利用拉格朗日粒子扩散模式FLEXPART结合上甸子区域本底站在线观测HCFC-142b数据,采取自上而下的反演方法,估算了2009和2010年中国HCFC-142b的排放量分别为10.82kt/a和15.42kt/a,分别占全球HCFC-142b排放量的29.7%和45.8%.反演HCFC-142b排放量的空间分布结果显示其排放源主要集中在京津冀、四川、山东西部以及长江中下游地区,与相关研究中自下而上方法获得的排放量分布一致.模式反演源较先验源更接近观测数据,2009年相关系数从0.38提高到0.47,2010年相关系数则从0.60提高到0.65.     

林业发展新模式:智慧林业的评述(Ⅱ)

介绍了智慧林业的概念、基本特征及形成背景、新观念,分析了数字林业、智慧林业与泛在林业的关系,阐述了中国及智慧林业发展战略,建议深入研究智慧林业定义、内涵、外延、特征、观点、问题及对策,以便形成一门崭新的科学——智慧林业科学.