Improved reliability in the interpretation of geochemical measurements by the quantification of uncertainty from sampling

All geochemical measurements require the taking of field samples, but the uncertainty that this process causes is often ignored when assessing the reliability of the interpretation, of the geochemistry or the health implications. Recently devised methods for the estimation, optimisation and reduction of this uncertainty have been evaluated by their application to the investigation of contaminated land. Uncertainty of measurement caused by primary sampling has been estimated for a range of six different contaminated land site investigations, using an increasingly recognized procedure. These site investigations were selected to reflect a wide range of different sizes, contaminants （organic and metals）, previous land uses （e.g. tin mining, railway sidings and gas works）, intended future use （housing to nature reserves） and routinely applied sampling methods. The results showed that the uncertainty on measurements was substantial, ranging from 25% to 186% of the concentration values at the different sites. Sampling was identified as the dominant source of the uncertainty （〉70% of measurement uncertainty） in most cases. The fitness-for-purpose of the measurements was judged using the optimized contaminated land investigation （OCLI） method. This identifies the optimal level of uncertainty that reduces to overall financial loss caused by the measurement procedures and the misclassification of the contamination, caused by the uncertainty. Generally the uncertainty of the actual measurements made in these different site investigations was found to be sub-optimal, and too large by a factor of approximately two. The uncertainty is usually limited by the sampling, but this can be reduced by increasing the sample mass by a factor of 4 （predicted by sampling theory）. It is concluded that knowing the value of the uncertainty enables the interpretation to be made more reliable, and that sampling is the main factor limiting most investigations. This new approach quantifies this problem for the first time, and allows sampling procedures to be critically evaluated, and modified, to improve the reliability of the geochemical assessment.     

Hydrogeochemical controls on surface and groundwater chemistry in naturally acidic, porphyry-related mineralized areas, southern Rocky Mountains

In southern Rocky Mountains, catchments characterized by acidic, metalliferous waters that are relatively unaffected by human activity usually occur within areas that have active or historical mining activity. The US Geological Survey has utilized these mineralized but unmined catchments to constrain geochemical processes that control the surface- and ground-water chemistry associated with near surface acid weathering as well as to estimate premining conditions. Study areas include the upper Animas River watershed, Lake City, Mt. Emmons, and Montezuma in Colorado and Questa in New Mexico. Although host-rock lithologies range from Precambrian gneisses to Cretaceous sedimentary units to Tertiary volcanic complexes, mineralization is Tertiary in age and associated with intermediate to felsic composition, porphyritic plutons. Pyrite is ubiquitous. Variability of metal concentrations in water is caused by two main factors： mineralogy and hydrology. Parameters that potentially affect water chemistry include： host-rock lithology, intensity of hydrothermal alteration, sulfide mineralogy and chemistry, gangue mineralogy, length of flow path, precipitation, evaporation, and redox conditions. Springs and headwater streams have pH values as low as 2.5, sulfate up to 3700 mg/L and high dissolved metal concentrations （for example： Al up to 170 mg/L; Fe up to 250 mg/L; Cu up to 3.5 mg/L and Zn up to 14 mg/L）. With the exception of evaporative waters, the lowest pH values and highest Fe and Al concentrations occur in water draining the most intense hydrothermally altered areas consisting of the mineral assemblage quartz-sericite-pyrite. Stream beds tend to be coated with iron floc, and some reaches are underlain by ferricrete. When iron-rich ground water interacts with oxygenated waters in the stream or hyporheic zone, ferrous iron is oxidized to ferric iron, which is less soluble, leading to the precipitation of iron oxyhydroxides.     

一种实现依比例街区自动合并的算法

针对依比例街区的图形特征，介绍了一种实现街区自动合并的有效算法，即利用数学形态学和模式识别对栅格数据进行追踪，然后提取街区轮廓线，编辑后就得到最终合并的街区。     

青藏高原东缘龙门山晚新生代剥蚀厚度与弹性挠曲模拟

龙门山是青藏高原东缘边界山脉,具有青藏高原地貌、龙门山高山地貌和山前冲积平原三个一级地貌单元。利用数字高程模式图像和裂变径迹年代测定方法研究和计算龙门山晚新生代剥蚀厚度与剥蚀速率,结果表明:3.6 Ma以来龙门山的剥蚀厚度介于1.91-2.16 km之间,剥蚀速率介于0.53-0.60 mm/a之间。在此基础上,开展了该地区岩石圈的弹性挠曲模拟,结果表明龙门山的隆升机制具有以构造缩短隆升和剥蚀卸载隆升相叠合的特点。3.6 Ma之前,龙门山的隆升与逆冲推覆构造负载有关,以构造缩短驱动的构造隆升为特色;3.6 Ma之后,龙门山的隆升与剥蚀卸载驱动的抬升有关,并以剥蚀卸载隆升为特色,进而提出了龙门山晚新生代以来的隆升机制以剥蚀成山作用为主的认识。     

青藏高原北羌塘地区晚三叠世地层展布和沉积型式

北羌塘盆地地处拉竹龙-金沙江缝合带和双湖构造混杂岩带之间,自北向南可划分出5个沉积相带/岩石地层单位：以砂泥质复理石-洋岛、岛弧型火山岩-大理岩岩石组合沉积为特征的若拉岗日群,以深水复理石盆地相沉积为特征的藏夏河组,以深水暗色细碎屑岩盆地相沉积为特征的结扎群,以开阔台地相/缓坡相碳酸盐岩沉积为特征的菊花山组,以三角洲相含煤碎屑岩系沉积为特征的土门格拉群.晚三叠世北羌塘盆地显示为南缓北陡的箕状沉积格局,盆地内充填物为南薄北厚的楔形沉积体,且双物源、沉降中心和沉积中心不一致,表明其具有前陆盆地的一系列沉积特征.     

藏北若拉岗日岩群变质火山岩的基本特征及构造属性

藏北的若拉岗日岩群，因处于拉竹龙-金沙江缝合带南缘，其成生背景及构造属性历来倍受关注。白头山、岗盖日、狮头山等地的若拉岗日岩群主要为一套变质中基性火山岩系，不同地段夹杂大理岩、变质砂板岩、硅质岩、超基性岩等小岩片或块体，分别具有洋岛型、洋脊型及岛弧型火山岩的基本特征，并构成白头山西以岛弧火山岩为主的弧火山岩片，岗盖日以洋脊型变玄武岩为主夹杂硅质岩、超基性岩小岩片而共同组成的蛇绿混杂岩片及白头山、狮头山以洋岛型火山岩为主夹杂碳酸盐岩块体的大洋海山岩片，从而指出该区若拉岗日岩群为一套不同构造属性的火山岩与大理岩、硅质岩、超基性岩等相伴的构造混杂岩，其中既有某大洋的产物，又有某洋岛及陆缘岛弧的产物。     

寿阳盆地特深水位成因探讨

寿阳盆地比西部的太原盆地高276m,有“山顶之盆”之称,因地势较高,气候寒冷,又有“冷寿阳”之称.该盆地为新生代断陷盆地,构造条件复杂,具有差异性与继承性的活动特点.其独特的地理条件及地质构造条件,使盆地内奥灰岩溶不断向深处发育,导致岩溶地下水水位埋深达430～550m,具特深水位特征.     

关于降水干旱指标的设想

对当前几种常用的基于降水量的干旱指标的优点和不足作了比较与分析，结合非参数统计方法和游程理论提出了一种新的干旱指标，与其它几种指标相比，具有适应面广、使用灵活、便于不同地区的统计分析、便于定量等特点。     

辽西地区高蛋白玉米气候适宜性研究

2004年4～9月,凌源市气象和农技部门合作开展了针对高蛋白玉米品种的气象条件试验,通过设不同小区、多重复试验和平行观测,综合多项指标筛选出适合当地气候条件下的优质玉米品种,初步得出了这些品种的生长发育特征特性和生育期气象指标。     

长江下游一次大暴雨的中尺度模拟分析

运用中尺度数值模式（MM5V3.6）对2004年6月25日长江下游地区一次大暴雨天气过程进行了数值模拟,结合天气形势和卫星云图对此次过程进行了分析.结果表明：在东北冷涡和西太平洋副热带高压两大天气尺度系统的作用下,西南低空急流的再次加强和中低层切变线共同作用是此次大暴雨过程的主要原因.螺旋度分析表明,在不均匀的强上升气流的作用下,涡旋的水平分量向垂直分量转化是此次强降水的可能机制之一.