用卫星高光谱数据提取江西德兴铜矿矿山废水的pH值污染指标

在对德兴铜矿矿山废水的光谱特征深入分析研究的基础上,总结了不同类型水体(酸性水、碱性水以及河流水)的特征光谱,并利用地物谱特征开展矿山废水pH值污染指标提取研究。针对水体光谱反射率低、特征光谱不明显的特点,采用矿区卫星Hyperion高光谱数据,应用ISA算法和掩膜技术识别出水体分布并进一步与MNF变换有效结合,根据波段散点图进行不同pH值水体的有效分割。为矿山废水污染的诊断和监测提供了新技术和理论支撑。     

Evidence of early generation of liquid hydrocarbon from suberinite as visible under the microscope

The early generation of liquid hydrocarbons from suberinite can be clearly observed under the microscope. The generation of this oil-like material, mainly in the form of exsudatinite, from the maceral suberinite occurs at a maturity level of about 0.4% vitrinite reflectance. Hydrocarbons appear to be naturally expelled from coal initially through sweating and agglomeration of suberinite which subsequently forms exsudatinite. It is suggested that extensive expulsion of exsudatinite causes cracks to develop in vitrinite whereas limited expulsion of exsudatinite will only impregnate the vitrinite matrix. If cracks are formed, it is possible they could progressively develop to form an exsudatinite-crack network. The formation of such a network is believed to represent an effective way of hydrocarbon expulsion from coal source rocks.     

200 years of mining activities at La Paz/San Luis Potosí/Mexico - Consequences for environment and geochemical exploration

The Ag---Pb---Zn---Cu---Au mining district of Santa María de La Paz has been extensively exploited for approximately 200 years. Consequences of these activities are several deposits of tailings with high As and heavy metal concentrations, which are completely unstable. The climate is semiarid and as the dumps have no protective cover, material from the dumps is dispersed by strong winds. It is also washed out during seasonally heavy rainfalls. By these processes approximately 100 km² of surrounding have been contaminated by dump material. The As and heavy metal content of the soils was determined as well as their level in crops (Zea Maize) from agricultural lands in the vicinity of the dumps. In the direction of prevailing winds concentrations up to 1000 ppm Zn, 400 ppm Pb, 16 ppm Cd, 550 ppm Cu and 300 As have been detected in top soils. Using fuzzy cluster analysis the different contamination sources could be identified. Grains of corn from contaminated sites showed no critical concentrations, but leaves which are also used tor fodder, have As-concentrations up to 20 ppm.     

链子崖T_8－T_（12）缝段地下水的侵蚀性及其工程对策

在简述地形地貌、气象水文、构造部位和岩石组成等地质环境因素的基础上．本文重点研究了链子崖危岩体煤层采空区地下水的水化学类型及其对工程结构的侵蚀等级．并提出了地上排水、地下排水与采用抗侵蚀工程材料等综合的工程治理对策。     

柿竹园钨锡钼铋矿床合理的勘探方法及储量比例探讨

本文剖析了柿竹园钨锡钼铋矿床地勘阶段地质观察粗浅，勘探投入超前，探明储量积压、Ｂ＋Ｃ级储量比例偏大等不合理的勘查工作及其原因。在此基础上，探讨矿区合理的勘探程度，储量比例及由此带来的经济效益。     

中国南方晚二叠世乐平煤的成因及成煤物质

乐平煤是分布于苏浙皖赣地区龙潭组中的特有煤种(俗称树皮煤),也是一种具良好生烃潜力的烃源岩。乐平煤中,壳质组和可溶有机质含量高,母质类型为高等植物和低等生物双重来源,元素组成具富氢、低氧、高含硫的特征,应属海相成因的泥炭坪沉积。成煤物质主要来源于真蕨、种子蕨和科达类等植物的树皮体。树皮体又可分为茎皮体和根皮体两种亚组分。依据煤的显微组分组成和树皮体富集程度的不同,乐平煤可分为原地型、过渡型和微异地型三种成因类型。乐平煤的研究对整个南方二叠纪煤成烃资源的评价具重要的地质意义。     

Estimation of in situ viscoelastic parameters of weak floor strata by plate-loading tests

Summary This paper explores an approach to estimation of the viscoelastic parameters of weak floor strata using plate-loading tests. Mathematical equations are derived to describe deformation-time history for the standard Burgers model under three-dimensional stress-strain conditions, which are verified with a finite element model. A number of time-dependent in-mine plate-loading tests were conducted and the values of the viscoelastic parameters were estimated based on the derived equation. It is shown that large discrepancies between the parameter values estimated from the plate-loading tests and those acquired from the in-mine convergence data are the results of neglecting adjacent pillar interaction. Finite element modelling was conducted to investigate the effects of adjacent pillar interactions upon the pillar settlement. Based on the finite element analyses, a correction curve was developed to adjust the viscoelastic parameter values to take into account the interaction between adjacent pillars. With the correction, the parameter values estimated from the plate-loading tests compared favourably with those acquired from the in-mine convergence results.     

Feasibility and cost of creating an iron-phosphate coating on pyrrhotite to prevent oxidation

 Acid mine drainage (AMD) occurs when sulfide minerals are exposed to an oxidizing environment. Most of the methods for preventing AMD are either short-term or high cost solutions. Coating with iron phosphate is a new technology for the abatement of AMD. It involves treating the sulfide with a coating solution composed of H₂O₂, KH₂PO₄, and sodium acetate as a buffer agent. The H₂O₂ oxidizes the sulfide surface and produces Fe³⁺ so that iron phosphate precipitates as a coating on the sulfide surface. Experiments performed under laboratory conditions prove that an iron phosphate coating can be established on pyrrhotite surfaces with optimal concentrations of the coating solution in the range of: 0.2M/0.01M H₂O₂, 0.2M KH₂PO₄, and 0.2M sodium acetate NaAc, depending on the experimental scale. Iron phosphate coating may be a long-term solution to the problem of AMD. The method would be easy to implement; the reagent cost, however, is not low enough, although it is lower than the conventional treatment with lime. Received: 30 March 1995 · Accepted: 6 September 1995     

Field assessment of acid mine drainage contamination in surface and ground water

Both sulfate and conductivity are useful indicators of acid mine drainage (AMD) contamination. Unlike pH, they are both extremely sensitive to AMD even where large dilutions have occurred. The advantage of using sulfate to trace AMD is that unlike other ions it is not removed to any great extent by sorption or precipitation processes, being unaffected by fluctuations in pH. These two parameters are also closely associated as would be expected, as conductivity is especially sensitive to sulfate ions. Therefore, as sulfate analysis is difficult in the field, conductivity can be used to predict sulfate concentration in both AMD and contaminated surface waters using regression analysis. Most accurate predictions are achieved by using equations given for specific conductivity ranges or AMD sources. There is also potential to use conductivity to predict approximate concentrations of key metals when the pH of the water is within their respective solubility ranges.