江西德兴矿集区水系沉积物重金属污染的时空对比

对比研究矿山开采一定时段内区域环境污染的时空变化特征,对于动态监测矿山开采对区域环境质量的影响情况、污染趋势等,具有重要的科学意义和实际价值。本文在利用2004年野外采集与测试分析的330个水系沉积物样品重金属含量数据基础上,充分利用矿山开采早期(1989)的1:20万乐平幅(As、Hg、Cd、Cr、Zn、Cu、Pb)水系沉积物地球化学图,通过数据预处理,分别对样品采集点重金属元素含量的统计分析和地质累积指数法评价的基础上,采用GIS的三维空间分析功能,对比研究德兴地区水系沉积物重金属污染时空变化。研究结果表明,十几年来,矿山开采对区域水系沉积物已造成了严重的污染,主要集中分布在是德兴铅锌和铜钼矿区德兴河与大坞河流域及其周边地区、乐安河下游沿岸局部地区、西北煤矿区以及乐安河下游乐平附近的煤矿区。     

Comparison of numerical models of two debris flows in the Cortina d’ Ampezzo area,Dolomites, Italy

The accurate prediction of runout distances, velocities and the knowledge of flow rheology can reduce the casualties and property damage produced by debris flows, providing a means to delineate hazard areas, to estimate hazard intensities for input into risk studies and to provide parameters for the design of protective measures. The application of most of models that describe the propagation and deposition of debris flow requires detailed topography, rheological and hydrological data that are not always available for the debris-flow hazard delineation and estimation. In the Cortina d’Ampezzo area, Eastern Dolomites, Italy, most of the slope instabilities are represented by debris flows; 325 debris-flow prone watersheds have been mapped in the geomorphological hazard map of this area. We compared the results of simulations of two well-documented debris flows in the Cortina d’Ampezzo area, carried on with two different single-phase, non-Newtonian models, the one-dimensional DAN-W and the two-dimensional FLO-2D, to test the possibility to simulate the dynamic behaviour of a debris flow with a model using a limited range of input parameters. FLO-2D model creates a more accurate representation of the hazard area in terms of flooded area, but the results in terms of runout distances and deposits thickness are similar to DAN-W results. Using DAN-W, the most appropriate rheology to describe the debris-flow behaviour is the Voellmy model. When detailed topographical, rheological and hydrological data are not available, DAN-W, which requires less detailed data, is a valuable tool to predict debris-flow hazard. Parameters obtained through back-analysis with both models can be applied to predict hazard in other areas characterized by similar geology, morphology and climate.     

An implementation of rock engineering system for ranking the instability potential of natural slopes in Greek territory. An application in Karditsa County

This paper presents an application of rock engineering system (RES) in an attempt to reveal and assess the inherent instability potential of 388 sites where equivalent landslides have been manifested and recorded in the region of Karditsa County, Greece. The main objective has been defining the principal causative and triggering factors responsible for the manifestation of landslide phenomena, quantify their interactions, obtain their weighted coefficients, and calculate the instability index, which refers to the inherent potential instability of each natural slope of the examined region. From the statistical interpretation of the data reported in a well-documented database and concerning the examined failure sites, a clear correlation between the instability index and the area affected by a single landslide event has been revealed. Almost the entire failure sites, 98% of the examined slope sites, exhibit an instability index value over 55, a value which is thought to be a critical threshold for landslide manifestation concerning natural slopes in Karditsa County. It is argued that the presented RES methodology, engaging the selected set of parameters, could be considered as an effective expert's tool for ranking, in an objectively optimal and simple way, the instability potential of natural slopes in Karditsa County, and thus providing a tool for sound zoning landslide hazard.     

大连滨海湿地景观格局变化及其驱动机制

以2000年和2006年TM卫星影像为主要数据源,配合其它非遥感数据,在遥感与地理信息系统技术支持下,运用景观生态学原理,选取反映景观空间结构和景观异质性的指数,对大连地区湿地的整体景观格局和类型景观格局及其动态变化进行定量分析.结果表明:6年间,大连湿地面积减少了97.62 km2;整体景观多样性指数和均匀度指数降低,优势度指数增加;各类景观格局时间序列上也存在明显差异性变化.湿地景观格局指数的变化, 反映了移山填海工业园区的扩大及养殖业的大力发展等人为活动对景观格局的深刻影响.人为活动已成为大连市湿地景观格局变化的主要驱动因子.     

形变,应变短临前兆标志体系

建立各手段的前兆异常标志,从而组合各类前兆标志体系是“八五”地震短临预报攻关研究项目的重要目标之一。本文以形变,应变手段的主要研究对象,初步建立了一个形变应变短临前兆标志体系,并总结出了各种异常的判别标志,为利用系统优化理论和专家系统理论进一步研究形变应前兆系统和地震之间的关系,从而为提高中短期地震预报的水平打下了一定的基础。     

地震学定量预报指标的一种提取方法——对比筛选法

鉴于目前地震学综合定量预报指标的缺乏和预报工作的急需,尝试使用“对比筛选法(简称CSM方法)”进行地震学定量预报指标的提取试验。较之以往作法的进展在于:1.同时使用“有震”和“无震”两类样本对比筛选;2.对不同地区的地震学参数进行了归一化处理。这样做的显著优点是:1.可以较有效地提取“有震异常”和“正常变化”指标;2.提取的异常和预报指标具有定量化和普适性特点。 试验研究使用大华北地震区资料,研究对象取中强地震。经内符和外推检验,证明该方法提取的异常和预报指标有效性和实用性较高。     

新疆第三次荒漠化监测中的问题及其建议

回顾了新疆3次在荒漠化监测中所进行的荒漠化监测与评价指标体系的建立，也是新疆开展荒漠化监测的基础；介绍了以遥感与地理信息为主要技术的荒漠化监测评价的方法；阐述了新疆第三次荒漠化监测中存在的问题。指出目前新疆荒漠化评价存在的主要问题是评价指标的不确定性、评价指标体系的难操作性和遥感数据源选用的随机性，进而对上述问题的解决途径进行了讨论。     

岩溶区集中式饮用水源地水质评价与保护——以毕节市倒天河水库和利民水库为例

采用SPSS软件，对2003年01月至2004年12月期间，倒天河水库和利民水库逐月水质监测数据进行数理统计分析，结果表明毕节市饮用水水质污染有较明显的季节变化和空间差异；且不同污染物对水体污染的贡献率各不相同，总磷和粪大肠菌群所占份额最大，方差累积贡献率达77％。在此基础上，利用加权综合污染指数对水体水质污染现状进行综合评价，结果显示倒天河水库和利民水库，水质污染总体较轻．饮用水水质符合《地表水环境质量标准（GB3838—2002）》中Ⅲ类水质标准；最后提出加大水环境保护的建议。     

松嫩平原西部沼泽湿地景观格局动态变化研究

湿地退化及其所带来的负面影响使人们认识到湿地生态系统生态功能的重要性.因此,作为功能研究基础的景观格局及其动态变化的研究显得尤为重要.在遥感和地理信息系统技术支持下,运用土地利用变化指数和景观格局指数模型,对处于生态脆弱区的松嫩平原西部沼泽湿地景观格局及动态变化进行了定量研究,结果表明:松嫩平原西部沼泽景观格局发生了显著变化.松嫩平原西部现有沼泽湿地面积4 488.13 km2,近50年来减少了62.54%;2000年斑块密度为1954年的1.67倍,且最大斑块面积和最大斑块周长均减小,说明沼泽景观破碎化严重;松嫩平原西部沼泽湿地分布质心发生偏移,近50年,向西北方向偏移了19.4 km,主轴方向顺时针旋转了9.23o,表明了沼泽湿地景观具有破碎化和萎缩的趋势,并且呈现出不平衡性:湿地的萎缩程度偏重于研究区的东南部;得出松嫩平原西部沼泽湿地减少及生态环境恶化主要是由该区生态环境原生脆弱性和人类不合理的开发利用方式导致的.通过景观格局变化的研究为沼泽湿地格局优化和生物保护提供参考.     

The petroleum generation potential and effective oil window of humic coals related to coal composition and age

A worldwide data set of more than 500 humic coals from the major coal-forming geological periods has been used to analyse the evolution in the remaining (Hydrogen Index, HI) and total (Quality Index, QI) generation potentials with increasing thermal maturity and the ‘effective oil window’ (‘oil expulsion window’). All samples describe HI and QI bands that are broad at low maturities and that gradually narrow with increasing maturity. The oil generation potential is completely exhausted at a vitrinite reflectance of 2.0–2.2%R_o or T_max of 500–510 °C. The initial large variation in the generation potential is related to the original depositional conditions, particularly the degree of marine influence and the formation of hydrogen-enriched vitrinite, as suggested by increased sulphur and hydrogen contents. During initial thermal maturation the HI increases to a maximum value, HI_max. Similarly, QI increases to a maximum value, QI_max. This increase in HI and QI is related to the formation of an additional generation potential in the coal structure. The decline in QI with further maturation is indicating onset of initial oil expulsion, which precedes efficient expulsion. Liquid petroleum generation from humic coals is thus a complex, three-phase process: (i) onset of petroleum generation, (ii) petroleum build-up in the coal, and (iii) initial oil expulsion followed by efficient oil expulsion (corresponding to the effective oil window). Efficient oil expulsion is indicated by a decline in the Bitumen Index (BI) when plotted against vitrinite reflectance or T_max. This means that in humic coals the vitrinite reflectance or T_max values at which onset of petroleum generation occurs cannot be used to establish the start of the effective oil window. The start of the effective oil window occurs within the vitrinite reflectance range 0.85–1.05%R_o or T_max range 440–455 °C and the oil window extends to 1.5–2.0%R_o or 470–510 °C. For general use, an effective oil window is proposed to occur from 0.85 to 1.7%R_o or from 440 to 490 °C. Specific ranges for HI_max and the effective oil window can be defined for Cenozoic, Jurassic, Permian, and Carboniferous coals. Cenozoic coals reach the highest HI_max values (220–370 mg HC/g TOC), and for the most oil-prone Cenozoic coals the effective oil window may possibly range from 0.65 to 2.0%R_o or 430 to 510 °C. In contrast, the most oil-prone Jurassic, Permian and Carboniferous coals reach the expulsion threshold at a vitrinite reflectance of 0.85–0.9%R_o or T_max of 440–445 °C.