红透山铜尾矿重金属分布及其对土壤重金属污染的影响

通过对红透山铜尾矿重金属分布及尾矿区和农田区土壤重金属污染状况进行研究,结果显示:尾矿中四种重金属Cu、Zn、Ph、Cd均出现不同程度的淋滤-富集现象,对周围土壤存在较大的环境威胁.尾矿区土壤综合污染指数16.27,达重污染程度;周围农田土壤为轻度污染,综合污染指数1.29.四种重金属的污染状况分别为:Cd、Cu为重度污染,Zn为轻度污染,Pb为安全级别.     

贵溪冶炼厂周边农田土壤重金属污染特性及评价

在对贵溪冶炼厂周边区域的农田土壤及生产的稻谷进行采样调查和数据处理分析的基础上,对农田土壤重金属污染特性和现状进行了监测和初步评价,结果表明:农田土壤重金属污染可能来源于贵溪冶炼厂废水的排放及尾矿渣的堆放,与灌溉水源无关;用国家土壤环境质量二级标准进行评价可知,农田土壤重金属的综合污染指数较高,土壤污染已处于重度污染等级,单项重金属污染指数表明Cu、Cd的含量已严重超标,并处于重度污染等级,Zn、Pb和As的含量未构成污染;水泉村、竹山村与所生产的稻谷三者之间呈显著或极显著正相关,即农田生态系统呈复合污染的趋势。     

葫芦岛市连山区、龙港区土壤重金属空间分布及污染评价

本文利用地理信息系统及地统计学,对葫芦岛市连山区和龙港区土壤中重金属的污染状况进行了空间变异性分析,对Cd、Cu、Zn污染进行单因子评价。结果表明:土壤Cd、Cu、Zn的理论模型均为球状模型。Cu的C0/(C0 C)为26%,说明Cu体现为中等的空间相关性,Cd、Zn的C0/(C0 C)分别为0.3%、3.2%,说明这2种重金属体现为强烈的空间相关性。在已有监测数据的基础上,制作了该地区土壤Cd、Cu、Zn污染的预测表面,得到研究区土壤重金属的分布图及污染分布图。研究表明,龙港区和杨杖子矿区的土壤已达到了重度污染的水平,不再适合于农业生产。     

Cd、Pb、Cu、Zn、As复合污染对龙须草生长的影响

本文研究了不同处理水平下Cd、Pb、Cu、Zn、As复合污染对龙须草生长的影响。结果表明,龙须草地下部对重金属的抗性大于地上部。在接近土壤环境质量二级标准上限值时,龙须草生长正常,减产幅度<10%;在含Cd5mgkg-1、Pb600mgkg-1、Cu125mgkg-1、Zn300mgkg-1、As50mgkg-1的复合污染土壤上,龙须草地下部干重与对照相比较差异性不显著(α=0.01);在含矿毒水河水污染土壤和尾矿砂污染水稻土壤上,龙须草地下部干重与对照相当,且地上部干重分别为对照的61.58%和40.64%。这些说明龙须草在土壤重金属复合污染修复中具有良好的应用前景。     

用计算机数学系统Matlab解决环境污染寻源问题*

为了评价城市土壤中重金属和类金属污染。通过选择319个土壤样品的数据,用计算机数学系统Matlab分析该城市土壤中重金属和类金属(Cd、Cr、Cu、Hg、Ni、Pb、Zn和As)的污染程度。测出土壤综合污染指数为4.34,说明城市属重度污染,该城市已形成偏重度污染的元素为Hg,偏中度污染的元素为Cd和Zn,中度污染的元素为Cu,轻度污染的元素为Pb、Cr、As、Ni,8种重金属和类金属元素对城市的污染严重程度依次为Hg>Cu>Zn>Cd>Pb>Cr>As>Ni。计算机数学系统在环境科学中大有作为,必将成为环境污染监测和预报建模中不可或缺的得力助手。     

深圳市主要公园及道路绿地土壤重金属含量状况比较研究

对深圳城市主要公园和道路绿地土壤Cu、Zn、Pb、Cd含量状况进行取样调查分析。研究结果表明,绿地土壤重金属含量与土地利用类型有关,表现为道路绿地土壤Cu、Zn、Pb平均含量高于公园绿地土壤,而Cd平均含量则相反。采用不同土壤重金属污染评价方法对深圳城市绿地土壤进行的环境质量评价均表明深圳城市绿地土壤Cd污染现象显著。在考察的四种重金属元素中,Zn含量与土壤有机质、pH有关,其中pH对Zn含量的影响相对较大;土壤Cu与Pb、Zn呈直线相关,表现出相互依存的关系。     

北京市边缘区土壤重金属污染的初步研究

基础资料为采集于北京城市边缘区的29个土壤剖面表层和底层58个样品6种重金属全量分析数据,以本区重金属自然土壤元素背景值作为评价标准,计算出各样点剖面表层和底层土壤单因子污染指数。应用对应因子分析手段, 初步揭示了北京市边缘区土壤重金属污染的空间分异特征。结果表明,北京市边缘区土壤重金属总体污染状况不明显,只有Hg元素属于轻微污染范围。不同样点间重金属污染水平比较显示,Hg污染水平差异明显,Pb、Cd、As、Zn、Cu污染差异不大。     

上海市延安高架道路沿线绿地土壤中重金属的分布与评价

以上海市延安高架道路沿线绿地为研究对象,按照建设时间的差异将其分成3个路段,并对其表层土壤进行分段采样,用原子吸收光谱法分析土壤中的重金属Pb、Cd、Cu、Zn、N i,然后再采用单项污染指数法和综合污染指数法对各种重金属元素和各路段的污染情况进行评价,研究结果表明:该区域土壤中重金属Pb、Cd、Cu、Zn、N i平均值分别为93.61mg kg-1、0.70mg kg-1、80.78 mg kg-1、452.20 mg kg-1和31.09 mg kg-1,除N i以外,其余重金属均超过上海市土壤背景值,分别为上海市土壤背景值的3.68倍、5.30倍、2.83倍和5.25倍。单项污染指数评价结果表明:重金属Pb、Cd、Zn已经形成重污染,Cu处于中等污染程度,N i尚未形成污染。综合污染指数评价结果表明:整条延安高架道路以及三个分段路段均已形成重污染。     

低分子有机酸对土壤中重金属的解吸及影响因素

研究了柠檬酸、草酸、酒石酸和苹果酸对矿区土壤中重金属Pb、Cd、Cu和Zn的解吸行为,并探讨了介质pH值对其解吸土中重金属的影响。振荡解吸试验结果表明四种低分子有机酸对供试污染土壤中Pb、Cd、Cu和Zn都具有一定的解吸能力。由于土壤中重金属有效态含量较低,各重金属的解吸率都不高。在对Pb和Cd的解吸中,各低分子有机酸能力大小顺序为柠檬酸>酒石酸≈苹果酸>草酸;Cu的解吸顺序为柠檬酸>草酸>酒石酸≈苹果酸;Zn的解吸顺序为酒石酸>柠檬酸≈苹果酸>草酸。低分子有机酸随浓度的增加,其解吸能力提高。低分子有机酸对重金属的解吸量随pH值的降低而增加。     

基于决策树技术的土壤重金属污染预警分析研究

土壤重金属污染的日益恶化对我国生态环境、食品安全等构成严重的威胁,土壤重金属预警的研究是一个重要的内容。采用决策树技术中的C4.5算法对山东省新泰市土壤中Cu、Zn、Pb、Cd、Cr、Ni、As、Hg等8种重金属的污染情况进行数据挖掘,得到并分析决策树和产生式规则,从而对土壤重金属污染进行预警,能够辅助防止土壤质量的退化、生态环境的污染以及食品安全的危害。     

A new ensemble method for gold mining problems: Predicting technology transfer

Of the many available innovative e-commerce technologies, only a small number have been successful in practice. Choosing and purchasing the right e-commerce technology is similar to finding gold in the mountains: there is a low frequency of a desirable state and a high frequency of an undesirable state. Thus, such scenarios are called gold mining problems. In such cases, the goal is to increase the probability of accurately predicting the desirable state. However, few prediction methods are sophisticated enough to predict gold mining problem results accurately. Hence, the purpose of this paper is to propose a novel ensemble method dedicated to increasing the probability of accurately predicting desirable states. We develop the vertical boosting with rewarded vote strategy, which generates classifiers for each attribute in a sample. Each classifier then generates individual rules with the assistance of a sensitivity level, to find desirable states. The individual rule sets are generated with adjustment by the multiplier, and then used in the ensemble method to generate combined rules. To show the method’s soundness, we perform an experiment with a representative gold mining problem: prediction of transferability of the intellectual properties of e-transaction technology.     

内蒙古自治区太仆寺旗伊胡赛金矿区地质特征及外围找矿方向分析

伊胡赛金矿区位于内蒙古自治区太仆寺旗西南部,大地构造位于“华北地台”北缘,天山-兴蒙巨型纬向构造带,是中温热液裂隙充填型金矿床.文章总结了本区的地质特征,并通过对本区矿床类型、矿床成因及控矿因素的综合分析、探讨,指出在该区应以寻找破碎带蚀变岩型金矿为主并指出了在该区及其外围进一步找矿的方向和靶区.     

采金船开采技术咨询专家系统

应用专家系统理论，以Torboprolog语言为开发工具，建立了采金船开采技术咨询专家系统，并对该系统的结构、功能、知识表示和推理策略进行了阐述。     

基于Aster遥感数据的班怒成矿带矿化蚀变信息提取

研究区位于西藏阿里地区改则县北部,属于班公湖-怒江成矿带,自然环境十分恶劣,地质研究程度较低,区域地质调查、矿产资源调查等工作进展缓慢。从已发现的矿(化)点看,工作区内主要的矿种为砂金、岩金及铜金矿,还分布盐湖及煤矿,具有优越的成矿地质背景和巨大成矿潜力。因此在该地区开展遥感找矿研究是一种有效、便捷、经济的勘查技术手段。在ENVI软件的支持下,基于Aster多光谱影像数据与蚀变矿物组合相关的波谱特征,利用主成分分析与比值分析相结合的方法从Aster数据中提取与金属矿化有关的矿物及矿物组合遥感异常信息,并结合地质矿产资料分析与致矿因素相关的遥感异常,继而圈定找矿靶区,得到了良好的实际应用效果。     

INTELLIGOLD - AN EXPERT SYSTEM FOR GOLD PLANT PROCESS DESIGN

Gold mining projects are a rare opportunity in the minerals industry. They require relatively small capital and give high profitability and fast return on investment compared with other mineral projects. To expand or maintain gold production, continuous development of new deposits and fast implementation of new mining sites are needed. Process design is one of the major issues. As simple and easily extractable ores are almost all exhausted, there is a need for a consistent approach to deal with increasing complexity and decreasing or stagnant gold prices. Process design must consider ore genesis, mineralogical characteristics, ore behavior in available metallurgical processes, linkage with the mining method, environmental impact, and economic issues. The type of work and environment involved makes this application ideal for using AI tools such as expert systems, fuzzy logic, and neural networks. This paper presents Intelligold, an expert system for project development teams to use at the preliminary evaluation and conceptual project stages. Information and knowledge from geology mineralogy, processing, and economics are organized, and recommendations on process options and estimated costs and revenue are given. The "knowledge-building" method is described, together with implementation and verification. Success in building this system suggests application to other ores such as copper and complex base metals.     

Data Matters: A Strategic Action Framework for Data Governance

While there has been a wealth of research exploring data governance, there are still some gaps in how firms deploy data governance and what strategic actions they take to do so, especially as the volume of data increases dramatically and the pace of data assetization accelerates. To achieve this end, through an in-depth case study of a Chinese gold mining company, namely Shandong Gold, we develop a framework to explain how firms configure data governance activities and conduct related strategic actions. Our study identifies four key data governance activities that are supported by two strategic actions. Overall, we contribute to research in data governance and strategic action fields and also provide an alternative implementation framework for practitioners.     

提取黔西南红粘土的ASTER波段比值技术研究

红粘土型金矿是黔西南的一个重要的金矿类型,我们以往的研究实践表明:Aleks Kalinowski等[1]研制的红粘土型金矿ASTER波段比值4/5不适合黔西南红粘土的信息提取,因此,需要研究适合该地区的ASTER波段比值。ASTER波段比值组合2/1、4/3和(5+7)/6彩色合成后被成功地应用到研究区的红粘土提取中。比值的选择是建立在对矿区红粘土光谱曲线特征的分析和ASTER图像预处理的基础上,该比值组合能够有效提取出ASTER图像上的矿区红粘土信息,并可以扩展应用到周边地区,寻找到更多含金红粘土的分布区,这充分显示了ASTER波段比值彩色合成技术在红粘土提取中的作用。     

Mapping mineralogical alteration using principal‐component analysis and matched filter processing in the Takab area,north‐west Iran,from ASTER data

The Takab area, located in north‐west Iran, is an important gold mineralized region with a long history of gold mining. The gold is associated with toxic metals/metalloids. In this study, Advanced Space Borne Thermal Emission and Reflection Radiometer data are evaluated for mapping gold and base‐metal mineralization through alteration mapping. Two different methods are used for argillic and silicic alteration mapping: selective principal‐component analysis and matched filter processing (MF). Running a selective principal‐component analysis using the main spectral characteristics of key alteration minerals enhanced the altered areas in PC2. MF using spectral library and laboratory spectra of the study area samples gave similar results. However, MF, using the image reference spectra from principal component (PC) images, produced the best results and indicated the advantage of using image spectra rather than library spectra in spectral mapping techniques. It seems that argillic alteration is more effective than silicic alteration for exploration purposes. It is suggested that alteration mapping can also be used to delineate areas contaminated by potentially toxic metals.     

MOO—MicroJIAC agents operating oxen

The MicroJIAC team has participated in the Multi-Agent Programming Contest 2007 with some success. This year, we attended again. Our contest contribution was implemented by a student during a university course using the current version of our agent framework. Unlike the gold mining scenario of MAPC 2007, this year’s cow herding scenario had higher complexity and was a very good testbed to evaluate our new agent framework.