四川省冕宁县大顶山磁铁矿床成因探讨

大顶山磁铁矿床位于泸沽花岗岩体外接触带,铁矿体赋存于中元古界登相营群夕卡岩化大理岩中,呈似层状、透镜状产出,矿体与夕卡岩化大理岩关系密切;大顶山磁铁矿床是泸沽花岗岩体侵位过程中沿层交代的产物,其矿床成因属接触交代型矿床.     

遥感信息与化探在湘南地区找矿预测中的应用

湘南地区是我国重要的有色金属成矿带之一,在该区针对ETM图像采用主成份分析、掩膜等遥感图像处理方法进行遥感蚀变信息提取,并针对该区的水系沉积物,采用迭代法确定地球化学背景值与异常下限,利用MapGIS、Section及DGSS软件提取化探异常信息,研究了该区的地质成矿背景。结合以上两种方法,圈定找矿靶区,为地质勘察工作明确了找矿的方向。     

吉林省梅河口市张家沟区金矿床成矿地质特征及找矿方向

吉林省梅河口市张家沟区金矿床矿体位于槽台过渡带靠近台区一侧,且基底岩系金丰度值高。区域构造结点有隐爆角砾岩筒存在,岩筒内有硫化物-石英细脉、网脉出现。找矿重点区域应为靠近烟筒桥子一侧的火山角砾岩筒之中。     

福建某低品位钼矿选矿试验研究

针对福建某低品位钼矿矿石性质,确定了粗磨粗选、粗精矿再磨精选的浮选方案。采用该浮选方案及合理的选别条件,对含钼为0.08%的钼原矿选别,获得钼精矿品位52.45%、钼精矿产率为0.14%、钼回收率90.19%的良好指标。     

贵州贞丰水银洞金矿床成矿规律研究

贞丰水银洞金矿床是通过成矿预测发现的以层控型为主、断裂型为辅的复合型隐伏卡林型金矿床。是滇黔桂“金三角”金矿勘查区层控卡林型金矿的典型代表。在概括水银洞金矿床地质特征的基础上,对矿区内典型金矿点构造蚀变体作了初步的研究与分析,并结合前人研究资料,从成矿物质来源、成矿阶段2个方面对矿床成矿规律进行探讨,初步认为水银洞金矿床的成矿物质来源主要为深部的隐伏岩体;矿床可划分为沉积成岩期和构造-热液期2个成矿期。     

确定板状隐伏矿体产状的一种几何方法及应用

隐伏矿体、缺乏产状标志的矿体,在地质勘查中难以用通常方法确定矿体产状和真厚度。笔者从解析几何的角度,介绍了一种直观地解决此类问题的几何方法,及其在以往勘查中得到的相关技术应用。     

西藏尼木县岗讲铜钼矿找矿方向研究

通过对岗讲矿区100多个钻孔资料的对比研究,三维模拟和区域矿床(点)对比分析,提出了岗讲铜钼矿床的成矿模型为,四周以"井字型"断裂环绕,平面以"似环状"形态分布,核部主体为不含矿英云闪长玢岩,并以30°~50°夹角从"柱状"体向四周以岩枝形态侵入,上部呈"蘑菇状"覆盖含矿二长花岗斑岩,在英云闪长玢岩与二长花岗斑岩接触带常伴随强烈的断裂破碎和泥化现象,二长花岗斑岩体内常形成一定规模的斑岩铜钼矿体。根据其成矿模型,寻找闪长玢岩(或者英云闪长玢岩)与二长花岗斑岩接触带及断裂构造交汇部位是今后找矿勘查工作的关键所在。     

淄博市瓦泉寨矿区铁矿床地质特征及其成因

沉积变质型铁矿是山东省鲁西地区重要成因类型之一,含矿层位为新太古代泰山岩群。经过地表工程和钻探工程验证,瓦泉寨矿区C1、C2、C3、C5磁异常是由铁矿体引起。矿体总体走向NW,倾向NE,倾角55°~88°,厚度1.44~6.29m;主要矿物为磁铁矿;矿石主要呈粒状变晶结构、条带状构造。同时,本文对沉积变质型铁矿床的成因进行了分析,铁质来源与基性火山活动关系密切。     

综合物探方法在焦家断裂南段金矿找矿中的应用

阐述了综合物探方法在焦家断裂南段金矿找矿中的应用,运用综合物探方法并结合搜集到测区的高精度重力、高精度磁测、常规电法、电磁法、地质、钻孔资料,对焦家断裂南段进行了综合研究,推断了焦家断裂南段的延伸趋势,探讨并总结了测区金成矿规律,圈定并筛选了3处金矿找矿靶区,表现出了较好的综合物探方法运用效果。     

Sediment and particulate phosphorus characteristics in grassed waterways from row crop corn and alfalfa fields collected by manual University of Exeter samplers and automatic sampling

Phosphorus (P) export from agricultural lands above known threshold levels can result in adverse impacts to receiving water quality. Phosphorus loss occurs in dissolved and sediment‐bound, or particulate phosphorous (PP), forms, with the latter often dominating losses from row‐cropped systems. To target practices, land managers need good computer models and model developers need good monitoring data. Sediment monitoring data (e.g. radiometric finger printing and sediment P sorption capacity) can help identify sediment source areas and improve models, but require more sediment mass than is typically obtained by automatic sampling. This study compares a simple suspended sediment sampler developed at the University of Exeter (UE) with automatic sampling in intermittent channels draining corn and alfalfa fields. The corn field had a greater runoff coefficient (27%) than alfalfa (11%). No differences were found in enrichment ratios (sediment constituent/soil constituent) in PP (PP_ER) or percent loss on ignition (LOI_ER) between paired UE samplers on corn. The median LOI_ER for the UE samplers (1·9%) did not differ significantly (p > 0·13) from the automatic sampler (2·0%). The PP_ER from the UE samplers was on average 20% lower than the automatic samplers. A correlation (r² = 0·75) was found between sediment PP and % LOI from automatic samplers and UE samplers for particles < 50 µm, while for > 50 µm PP concentration did not change with changes in % LOI. Sediment ammonium‐oxalate extractable metals were similarly related to LOI, with the strongest correlation for iron (r² = 0·71) and magnesium (r² = 0·70). Copyright © 2011 John Wiley & Sons, Ltd.