矿井断层构造复杂程度的GIS与熵值耦合评价研究

基于GIS与熵值耦合理论的矿井断层构造复杂程度的综合评价方法,建立了断层构造的非线性特征值、断层规模指数、煤层底板倾角指数、断层断距指数等与矿井构造复杂程度相关的评价指标体系。并以河南某矿为例,对矿井断层构造复杂程度进行多因素评价综合分区。结果显示:该矿井构造以中等和简单为主;在构造简单-中等区,构造对煤层开采基本无影响,而在构造复杂区,断层可导致水文地质条件变得较为复杂,影响煤层安全开采。     

地勘单位经济指标考核体系探讨

地勘单位执行多年的经济指标考核体系一般由决算总收入、新增资本积累、净资产总额、应收账款与存货占经营收入比率、提取折旧额、提交煤炭资源量,人均年收入等七项指标组成。该指标体系经过多年运行,已经趋于成熟。但是该指标考核体系没有考虑到不同单位的综合经济实力和生产能力水平的差异,忽略了不同单位之间的主营业务性质和区域性差异,使考核结果公平性存在一定的缺陷。本文依据全面考核原则、科学考核原则、可操作性原则,探讨了如何改进经济指标考核体系,并提出了可供实施的企业经济效益综合指数考核指标体系。     

长江经济带土壤质量评价及产地适宜性初步研究

开展土壤质量评价对科学划定永久基本农田及统筹优化农业生产布局具有重要指导意义。本文采用内梅罗综合污染指数法、分级法、累积频率法和综合判定法,参照《土壤环境质量农用地土壤污染风险管控标准》(试行)(GB 15618—2018)和《绿色食品产地环境质量》(NY/T 391—2013),对长江经济带土壤重金属污染、酸碱度、有益元素丰缺和绿色农产品产地适宜性进行评价。研究区土壤质量总体良好,清洁土壤面积34.84万km²,其重金属含量继承了自然背景特征; 三级及以下土壤面积6.94万km²,呈斑块及星点状分布于赣东北、赣南、湖南长沙—郴州一带、沿江及贵阳、昆明等地,其重金属为自然富集或受矿业开发、煤炭和石油的燃烧及工业“三废”排放的影响。酸性土壤面积33.56万km²,分布于江西、湖南、宁波—台州沿海和金华衢州盆地,碱性土壤面积15.69万km²,分布于苏北平原、环洞庭湖、成都平原以及沿长江一线,其土壤酸碱度与土壤类型有关。土壤有益元素丰缺与第四系沉积物成土母质有关,土壤有益元素适量及以上区域面积34.44万km²,分布于四川阿坝、成都盆地、环洞庭湖、环鄱阳湖、安徽沿江、苏北沿海和杭嘉湖平原; 土壤有益元素缺乏区面积13.89万km²,分布于赣南、江淮、鄂东北以及云南玉溪等地。绿色农产品产地最适宜区、适宜区和不适宜区面积分别为22.49万km²、18.78万km²和18.28万km²。依据区内绿色农产品产地适宜性、土壤环境质量和立地条件划分出7片永久农田保护建议区。     

汉江流域硫铁矿区厚子河支流水质评价研究

为查明厚子河不同区域河水受硫铁矿污染的程度,在厚子河支流4个典型河流断面采集水样,开展水质全分析测试,并采用单因子评价法和综合水质标识指数法进行评价分析。研究结果表明: (1)运用单因子评价法对硫铁矿区厚子河水质评价的结果无差异,均为劣Ⅴ类水; 而运用综合水质标识指数法的评价结果显示,距离硫铁矿开采区由近及远的4个断面HZ001、HZ002、HZ003、HZ004的综合水质标识指数逐渐下降,水质类别分别为劣Ⅴ类且黑臭、劣Ⅴ类但不黑臭、Ⅳ类、Ⅲ类,符合现场调查的实际情况,能够反映距离污染源越远时河水水质趋好的总体态势; (2)综合水质标识指数法不仅可以客观反映同一河流各个断面所处的综合水质类别、同一水质类别中受污染的不同程度以及与水环境功能区类别的比较结果,而且能够实现对劣V类水质污染程度的精细划分,相较于单因子评价法更加客观、科学、全面,适用于矿山开采等重污染区域河流断面水质污染情况的研判。     

Diagenesis in the Middle Jurassic Khatatba Formation sandstones in the Shoushan Basin,northern Western Desert,Egypt

The Middle Jurassic Khatatba Formation acts as a hydrocarbon reservoir in the subsurface in the Western Desert, Egypt. This study, which is based on core samples from two exploration boreholes, describes the lithological and diagenetic characteristics of the Khatatba Formation sandstones. The sandstones are fine‐ to coarse‐grained, moderately to well‐sorted quartz arenites, deposited in fluvial channels and in a shallow‐marine setting. Diagenetic components include mechanical and chemical compaction, cementation (calcite, clay minerals, quartz overgrowths, and a minor amount of pyrite), and dissolution of calcite cements and feldspar grains. The widespread occurrence of an early calcite cement suggests that the Khatatba sandstones lost a significant amount of primary porosity at an early stage of its diagenetic history. In addition to calcite, several different cements including kaolinite and syntaxial quartz overgrowth occur as pore‐filling and pore‐lining cements. Kaolinite (largely vermicular) fills pore spaces and causes reduction in the permeability of the reservoir. Based on framework grain–cement relationships, precipitation of the early calcite cement was either accompanied by or followed the development of part of the pore‐lining and pore‐filling cements. Secondary porosity development occurred due to partial to complete dissolution of early calcite cements and feldspar. Late kaolinite clay cement occurs due to dissolved feldspar and has an impact on the reservoir quality of the Khatatba sandstones. Open hydraulic fractures also generated significant secondary porosity in sandstone reservoirs, where both fractures and dissolution took place in multiple phases during late diagenetic stages. The diagenesis and sedimentary facies help control the reservoir quality of the Khatatba sandstones. Fluvial channel sandstones have the highest porosities and permeabilities, in part because of calcite cementation, which inhibited authigenic clays or was later dissolved, creating intergranular secondary porosity. Fluvial crevasse‐splay and marine sandstones have the lowest reservoir quality because of an abundance of depositional kaolinite matrix and pervasive, shallow‐burial calcite and quartz overgrowth cements, respectively. Copyright © 2013 John Wiley & Sons, Ltd.     

未确知测度BP神经网络模型在黑河流域水质预测中的应用

水质预测是水环境规划、评价和管理的重要依据,对促进水资源可持续利用及生态发展具有重要意义。针对水质预测中各项因子的不确定性,基于未确知测度理论(unascertained measure,UM),采用改变网络初值的方法,对BP神经网络加以改进,并利用黑河流域莺落峡水文站1998~2011年的水质监测资料进行分析和预测。以挥发酚为参考序列,用灰色关联方法分析参考序列与其他因子的关联度,并最终确定BP网络的输入节点为CODmn、DO、SO42-、Cr6+以及挥发酚,输出节点为挥发酚,从而建立UMBP模型。分析结果表明,UM-BP预测模型比标准的BP神经网络模型具有更高的预测精度。因此,该模型应用于黑河流域水质预测是可行的。     

绳索取心钻杆丝扣结构力学仿真分析

以饱89 mm绳索取心钻杆为分析研究对象,对其连接丝扣部分建立准三维模型,运用CAE有限元软件AN-SYS对其进行接触非线性力学分析,得出钻杆连接丝扣处等效应力及变形云图,结果显示最大等效应力出现的位置及变形状态与钻探现场钻杆常见断裂位置及形态完全一致,表明所采用的研究手段和方法切实可行。     

地球化学与耕地质量调查数据整合方法对比

土地质量地球化学评估与耕地质量等级调查评价,都是涉及土地资源的质量调查与评价的基础性工作。两项成果的整合研究,是当前数据共享与学科间数据交叉融合的必然趋势。笔者将两项成果有机结合,分别从数据独立性、成果实用性、科学性等角度出发,对两项成果分别采用基于两项成果数据的叠加法、综合法和基于两项调查数据的因素法进行数据整合方法探讨,并以吉林省前郭县为研究区,对整合成果的适用性及优缺点进行讨论。结果表明,不同的整合方法各有优缺点:基于两项成果数据的叠加法可以保持成果各自的独立性;基于两项成果数据的综合法易于表达,但过于强调经验;基于两项调查数据的因素法物理意义明确,但理论支撑不足。     

Quality assessment and hydrogeochemical characteristics of groundwater in Agastheeswaram taluk,Kanyakumari district,Tamil Nadu,India

The present study investigates the hydrogeochemical characteristics of groundwater quality in Agas- theeswaram taluk of Kanyakumari district, Tamil Nadu, India. A total of 69 groundwater samples were collected during pre- and post-monsoon periods of 2011-2012. The groundwater quality assessment has been carried out by evaluating the physicochemical parameters such as pH, EC, TDS, HCO3, Cl, SO42-, Ca2＋, Mg2＋, Na＋ and K＋ for both the seasons. Based on these parameters, groundwater has been assessed in favor of its suitability for drinking and irrigation purpose. Dominant cations for both the seasons are in the order of Na＋〉 Ca2＋〉 Mg2＋ 〉 K＋ while the dominant anions for post monsoon and pre monsoon have the trends of CI 〉 HCO3 〉 SO42- and HCO3- 〉 CI 〉 SO42-, respectively. Analytical results observed from various indices reveal that the groundwater quality is fairly good in some places. Analytical results of few samples show that they are severely polluted and incidentally found to be near the coasts, estuaries and salt pans in the study area. The Gibbs plot indicates that the majority of groundwater samples fall in rock dominant region, which indicates rock water interaction in the study area. The United States salinity （USSL） diagram shows that the groundwater is free from sodium hazards but the salinity hazard varies from low to very high throughout the study area. This reveals that the groundwater is moderately suitable for agricultural activities. The observed chemical variations in pre-monsoon and post-monsoon seasons may be the effect to rock-water interactions, ion-exchange reactions, and runoff of fertilizers from the surrounding agricultural lands.     

Arsenic Distribution Pattern in Different Sources of Drinking Water and their Geological Background in Guanzhong Basin,Shaanxi, China

To study arsenic(As) content and distribution patterns as well as the genesis of different kinds of water, especially the different sources of drinking water in Guanzhong Basin, Shaanxi province, China, 139 water samples were collected at 62 sampling points from wells of different depths, from hot springs, and rivers. The As content of these samples was measured by the intermittent flowhydride generation atomic fluorescence spectrometry method(HG-AFS). The As concentrations in the drinking water in Guanzhong Basin vary greatly(0.00–68.08 μg/L), and the As concentration of groundwater in southern Guanzhong Basin is different from that in the northern Guanzhong Basin. Even within the same location in southern Guanzhong Basin, the As concentrations at different depths vary greatly. As concentration of groundwater from the shallow wells(50 m deep, 0.56–3.87 μg/L) is much lower than from deep wells(110–360 m deep, 19.34–62.91 μg/L), whereas As concentration in water of any depth in northern Guanzhong Basin is 10 μg/L. Southern Guanzhong Basin is a newly discovered high-As groundwater area in China. The high-As groundwater is mainly distributed in areas between the Qinling Mountains and Weihe River; it has only been found at depths ranging from 110 to 360 m in confined aquifers, which store water in the Lishi and Wucheng Loess(Lower and Middle Pleistocene) in the southern Guanzhong Basin. As concentration of hot spring water is 6.47–11.94 μg/L; that of geothermal water between 1000 and 1500 m deep is 43.68–68.08 μg/L. The high-As well water at depths from 110 to 360 m in southern Guanzhong Basin has a very low fluorine(F) value, which is generally 0.10 mg/L. Otherwise, the hot springs of Lintong and Tangyu and the geothermal water in southern Guanzhong Basin have very high F values(8.07–14.96 mg/L). The results indicate that highAs groundwater in depths from 110 to 360 m is unlikely to have a direct relationship with the geothermal water in the same area. As concentration of all reservoirs and rivers(both contaminated and uncontaminated) in the Guanzhong Basin is 10 μg/L. This shows that pollution in the surface water is not the source of the high-As in the southern Guanzhong Basin. The partition boundaries of the high- and low-As groundwater area corresponds to the partition boundaries of the tectonic units in the Guanzhong Basin. This probably indicates that the high-As groundwater areas can be correlated to their geological underpinning and structural framework. In southern Guanzhong Basin, the main sources of drinking water for villages and small towns today are wells between 110–360 m deep. All of their As contents exceed the limit of the Chinese National Standard and the International Standard(10 μg/L) and so local residents should use other sources of clean water that are 50 m deep, instead of deep groundwater(110 to 360 m) for their drinking water supply.