甘孜地区雅拉河段地热系统特征及控制因素

综合应用区域地质、地震、地球化学等资料,对甘孜地区雅拉河段地热系统及其主控因素进行研究。分析认为,甘孜地区地热属于典型的对流型地热系统,雅拉河断裂破碎带及板岩中发育的大量裂隙共同构成了研究区的热储体,这些热储体沿雅拉河断裂带不均匀分布。研究区充沛的大气降水以及季节性的冰雪融水为地热系统提供充足的水源。雅拉河断裂与色拉哈断裂之间大范围相对平坦的区域以及大量储水洼地为地热系统中的水源提供存储空间。该地区地表裂隙发育,利于地表水向下渗透,是地下水的主要补给通道。色拉哈断裂的强烈活动为浅层地下水在重力作用下进一步向深层运移提供重要流体通道。雅拉河断裂带的地势相对低,断裂破碎带是深层流体上涌的重要通道。在流体供给区与出露区的重力势能差以及两条走滑断裂带压力差共同作用下,流体经深部热源加热后在流体通道内形成持续的热流体循环系统。     

Gap Filling and Quality Assessment of CO2 and Water Vapour Fluxes above an Urban Area with Radial Basis Function Neural Networks

Vertical turbulent fluxes of water vapour, carbon dioxide, and sensible heat were measured from 16 August to the 28 September 2006 near the city centre of Münster in north-west Germany. In comparison to results of measurements above homogeneous ecosystem sites, the CO₂ fluxes above the urban investigation area showed more peaks and higher variances during the course of a day, probably caused by traffic and other varying, anthropogenic sources. The main goal of this study is the introduction and establishment of a new gap filling procedure using radial basis function (RBF) neural networks, which is also applicable under complex environmental conditions. We applied adapted RBF neural networks within a combined modular expert system of neural networks as an innovative approach to fill data gaps in micrometeorological flux time series. We found that RBF networks are superior to multi-layer perceptron (MLP) neural networks in the reproduction of the highly variable turbulent fluxes. In addition, we enhanced the methodology in the field of quality assessment for eddy covariance data. An RBF neural network mapping system was used to identify conditions of a turbulence regime that allows reliable quantification of turbulent fluxes through finding an acceptable minimum of the friction velocity. For the data analysed in this study, the minimum acceptable friction velocity was found to be 0.15 m s⁻¹. The obtained CO₂ fluxes, measured on a tower at 65 m a.g.l., reached average values of 12 μmol m⁻² s⁻¹ and fell to nighttime minimum values of 3 μmol m ⁻² s⁻¹. Mean daily CO₂ emissions of 21 g CO₂ m⁻²d ⁻¹ were obtained during our 6-week experiment. Hence, the city centre of Münster appeared to be a significant source of CO₂. The half-hourly average values of water vapour fluxes ranged between 0.062 and 0.989 mmol m⁻² s⁻¹and showed lower variances than the simultaneously measured fluxes of CO₂.     

Ore-forming Fluid and Mineral Source of the Hongshi Copper Deposit in the Kalatage Area, East Tianshan, Xinjiang, NW China

The Hongshi copper deposit is located in the middle of the Kalatage ore district in the northern segment of the Dananhu-Tousuquan island-arc belt in East Tianshan, Xinjiang, NW China. This study analyses the fluid inclusions and H, O, and S stable isotopic compositions of the deposit. The fluid-inclusion data indicate that aqueous fluid inclusions were trapped in chalcopyrite-bearing quartz veins in the gangue minerals. The homogenization temperatures range from 108°C to 299°C, and the salinities range from 0.5% to 11.8%, indicating medium to low temperatures and salinities. The trapping pressures range from 34.5 MPa to 56.8 MPa. The δ18OH2O values and δD values of the fluid range from ?6.94‰ to ?5.33‰ and from ?95.31‰ to ?48.20‰, respectively. The H and O isotopic data indicate that the ore-forming fluid derived from a mix of magmatic water and meteoric water and that meteoric water played a significant role. The S isotopic composition of pyrite ranges from 1.9‰ to 5.2‰, with an average value of 3.1‰, and the S isotopic composition of chalcopyrite ranges from ?0.9‰ to 4‰, with an average value of 1.36‰, implying that the S in the ore-forming materials was derived from the mantle. The introduction of meteoric water decreased the temperature, volatile content, and pressure, resulting in immiscibility. These factors may have been the major causes of the mineralization of the Hongshi copper deposit. Based on all the geologic and fluid characteristics, we conclude that the Hongshi copper deposit is an epithermal deposit.     

广东韶关地区土壤地球化学基准值研究

土壤地球化学基准值是指未受人为污染的,反映土壤原始沉积环境的地球化学元素含量;是反映土壤地球化学特征的基本指标,也是制订环境质量标准,识别和评价土壤污染程度,确立污染治理修复目标的重要依据.文章对广东韶关地区1023件深层土壤样中54项元素(指标)含量进行了分析研究,并与地壳丰度、中国土壤C层元素含量(仅13项指标)、广东省C层土壤元素含量进行了对比.结果表明,区内土壤中与酸性岩浆岩、砂页岩、成矿作用相关的元素基准值较高,与基性岩、碳酸盐岩组成相关的元素基准值较低,其元素组合反映了该区土壤的中酸性的地球化学特征.对研究区主要成土母质地球化学基准值的研究表明,土壤元素地球化学基准值继承了成土母岩母质的元素地球化学特征,不同成土母质类型的土壤地球化学基准值差异较大.     

伊犁盆地尼勒克地区中二叠世陆相地层碎屑物源分析及其对西天山构造演化过程的约束

西天山在二叠纪时期的大地构造环境有岛弧成因和大陆裂谷成因两种不同的观点,伊犁盆地尼勒克地区中二叠统陆相红层的研究是解决上述争议的关键之一。该段地层自下而上是一套由冲洪积扇相、河流相、浅湖相和半深湖相组成的湖侵序列。本文综合该套地层的古水流、砾岩砾石成分与砂岩碎屑组分、重矿物组合、碎屑岩地球化学以及石榴子石化学特征等方面的研究,认为尼勒克盆地中二叠统陆相红层的物源复杂多样,包括超镁铁质-镁铁质岩、安山岩、英安岩、流纹岩、矽卡岩、片麻岩、灰岩和碎屑岩等不同岩石类型,记录了西天山造山带的构造剥蚀与再沉积过程。结合下二叠统乌郎组双峰式火山岩以及区域性角度不整合等资料的综合分析,本研究认为尼勒克地区中二叠世盆地形成于造山后伸展的大地构造背景。     

江面平流雾的数值研究

本文利用二维平流雾模式研究了海上暖湿空气平流到长江冷水面上形成平流雾的过程,对影响平流雾形成的两个主要因子(水面温度水平梯度和平流风速)与平流雾区的关系进行了数值研究,为江面平流雾的预报提供了思路.     

自流井水温固体潮效应及其应变响应能力

井水温度观测是一项重要的地震前兆观测手段,旨在捕捉地震孕育过程中的应力-应变信息。水温固体潮效应作为地壳应力-应变信息的真实反映和地震前兆观测的干扰因素,具有重要的研究意义。本文首先依据对自流井中热状态的分析,认为自流井水温固体潮效应可能主要存在两种机制,即热传导机制和热对流机制;据此,推导出热传导机制中水温与固体潮体应变变化的定量关系;最后以流量相对较大的本溪自流井为例进行分析。结果表明,本溪井水温固体潮效应是热传导机制和热对流机制共同作用的结果,其中,热传导机制起主要作用。     

川东TS—HNT地区飞仙关组鲕滩储层特征及测井资料解释

简述了川东TS—HNT地区飞仙关组鲕粒储层的地质特征及其储集性能,并介绍了鲕滩储层的测井响应特征。飞仙关组鲕滩储层以孔隙（洞）型为主,具有溶蚀孔洞发育、局部有少量裂缝、储层孔隙结构复杂等特点。准确的确定储层物性参数和岩性是测井解释评价的基础。通过对钻井取芯资料和测井资料的分析研究,对储层四性关系进行分析,建立了适合本区的储层参数测井解释模型,提高了储层物性参数的计算精度;针对研究区鲕滩碳酸盐岩储层孔隙结构复杂、孔渗关系变化多样的特点,以常规测井资料为基础,结合岩芯分析数据及试气投产资料,给出了储层综合测井解释成果,且测井解释结果与实际情况相一致。     

新疆大南湖北露天煤矿首采区Ⅲ火烧区地下水资源的数值模拟

大南湖北露天煤矿首采区东南部需要揭露Ⅲ火烧岩区一部分,这使得烧变岩水成为露天煤矿矿井充水的主要水源。资源勘探阶段的水文地质资料表明,烧变岩区赋水空间发育、透水能力强,储存量非常可观,但由于受资源勘探阶段水文地质勘探工程量制约,水文地质条件未能详细查明,现有水文地质成果尚不能满足首采区对烧变岩水疏排设计的要求。对烧变岩地下水资源进行模拟开采性抽水试验,获取Ⅲ火烧区的水文地质参数,利用数值模拟的方法,运用MODFLOW软件建立了III火烧区地下水数值模型,并模拟计算出了Ⅲ火烧区地下水储存量。经验证,本次模拟所取得成果与煤矿实际情况相符,能够作为首采区矿坑疏排水设计依据。     

喀斯特与非喀斯特区土壤含水量与植物叶片δ13C关系的对比研究—— 以贵州清镇市王家寨小流域为例

通过测定贵州省清镇市王家寨小流域内不同背景区(喀斯特与非喀斯特)土壤的含水量以及16种植物叶片的δ13 C值,比较了不同背景区从退化生态到非退化生态过程中各样地之间,以及石漠化和土山样地不同坡位之间土壤含水量与植物叶片δ13 C值的相关关系。研究结果表明,不管是喀斯特背景区还是非喀斯特背景区从退化到非退化的过程中,随着土壤含水量的逐渐增大,植物叶片的δ13 C值与土壤含水量呈现显著的负相关关系,即土壤含水量越大,植物的水分利用效率就越低;而从不同坡位土壤含水量与植物叶片δ13 C值的相关关系分析表明,石漠化样地植物叶片δ13 C值并不随坡位土壤含水量的不同呈现出规律性的变化,而坡位自上而下土山样地植物叶片的δ13 C值则表现出随土壤含水量的增大而逐渐趋负。这些研究结果均反映了植物叶片的δ13 C值对不同生境土壤水分条件的适应机制,其中石漠化样地上的植物对土壤含水量变化的响应最迅速和最敏感。