黔中隆起北缘金沙岩孔古油藏特征及成藏期次厘定

为了了解南方海相古油藏特征及其成藏期次,对金沙岩孔古油藏进行了系统的解剖.运用BasinMod盆地模拟软件和均一法测温及激光拉曼探针等微观技术,模拟烃源岩成熟演化史及生排烃史,确定了流体包裹体类型、古油藏油气充注期及成藏期次.结果表明:金沙岩孔剖面油气显示明显、具有良好的储集性能、存在2套优越的生储盖组合;包裹体烃类成分以CH_4为主,具明显干气特征,部分包裹体内含CO_2;古油藏存在3期油气充注,构成105～115℃,125～135℃,145～155℃这3个峰簇,分别相当于生油一主生油过渡期、主生油期及湿气主生期.黔中下寒武统烃源岩主要生排烃期有3期,分别对应早泥盆世末期、晚三叠世早期和晚侏罗世末期,为主要的古油藏成藏期,与由流体包裹体均一温度反映的油气充注期相对应.     

撞击构造的特征及对贵州息烽县环形构造的成因解释

对行星的撞击构造特征进行了总结。地球上的撞击构造,一般通过地貌以及冲击变质产生的岩石和矿物来确认。对贵州省息烽县境内的疑似撞击构造的环形构造进行了比较研究,通过对已有地质资料的详细调研、实地仔细的勘测和采样以及对样品的岩相学分析,并未观察到冲击变质特征,因此认为此处环形构造并非撞击成因,而是古老的盆状向斜经历了多期的构造作用形成的涡旋构造。     

地源热泵技术在贵州碳酸盐岩地区的应用与研究

本文针对贵州碳酸盐地区开展地源热泵技术应用研究,介绍了贵州地质环境条件、浅层地热能资源状况、地源热泵技术应用发展历程与前景以及研究应用成果。重点对贵州碳酸盐地区开展地源热泵技术的热响应试验中和地埋管施工中的关键环节进行阐述,分析总结了贵州实施地源热泵技术的优势和经验。同时,根据贵州地源热泵产业发展实际提出客观建议,为贵州做大做强地热能产业提供科学依据,对实现“双碳”国际承诺及节能减排等方面具有十分重要的现实意义。     

贵州杨柳溪水库灌区渠系建筑物优化设计

针对贵州杨柳溪水库灌区地质条件较复杂,沿线部分渠段边坡稳定性较差、易形成高陡边坡等问题,在现场踏勘的基础上,综合考虑工程占地、施工难度及工程投资等因素,规划出渠系整体布置方案,优选了渠系建筑物结构形式。     

云南高原岩溶区极端降水变化规律研究

利用云南高原岩溶区9个气象站1960-2017年逐日降水量数据,通过MATLAB软件计算了6个极端降水指数,基于反距离加权插值、线性倾向估计、Mann-Kendall突变检验以及Morlet连续小波变换等技术方法,探讨了云南高原岩溶区极端降水的演化规律。结果表明:云南高原岩溶区1960-2017年各极端降水指数中,CDD、RX1day、RX5day、SDII主要呈缓慢的上升趋势,CWD呈显著的下降趋势,PRCPTOT整体减少趋势不显著;1960-2017年间仅有CDD和PRCPTOT发生了显著突变,突变年份分别为2006年以及2000年,其余4个指数CWD、RX1day、RX5day、SDII无明显突变现象;各极端降水指数周期性震荡较为明显,CDD、CWD、RX1day、RX5day分别存在28~30a、26~30a、27~30a、27~30a的主周期,SDII与PRCPTOT在27~30a时间尺度上周期最为明显;1960-2017年云南高原岩溶区各极端降水指数空间差异较为明显,除CDD表现为由南向北逐渐递增趋势外,其余5个指数表现为由北向南逐渐递增的相反趋势;1960-2017年间,CDD、CWD、RX1day、RX5day以及SDII均与PRCPTOT呈一致的极显著正相关,相关系数均达0.98以上。极端降水的这些变化可为未来岩溶水资源管理、生态环境建设等方面提供参考。     

贵州省白马山水库混凝土砌石拱坝优化设计

贵州省白马山水库大坝是一座混凝土砌毛石重力单曲拱坝,最大坝高48 m,采用ADAO拱坝分析与优化软件,对坝体结构、应力变形、坝肩稳定性等进行了分析。调整了设计方案,使坝体设计方案满足SL25-2006和SL282-2003等技术规范要求。     

上扬子地区下寒武统牛蹄塘组富有机质页岩岩相及沉积环境分析

贵州温水村剖面发育有一套完整的下寒武统牛蹄塘组富有机质黑色页岩,为厘清下寒武统牛蹄塘组页岩岩相类型,明确不同岩相形成环境特征,通过采集25块该剖面页岩样品,进行岩石薄片观察、X射线衍射（全岩）分析、总有机碳含量（TOC）测定及主微量和稀土元素分析,划分出温水村剖面下寒武统页岩的岩相类型,并明确了该层位页岩的沉积环境和有机质富集特征,建立了沉积模式。根据TOC值、沉积构造和矿物组成,同时考虑岩石脆性特征,共划分出9类页岩岩相：①富有机质块状强脆性硅质细粒岩;②富有机质纹层状强脆性硅质页岩;③高有机质块状强脆性硅质细粒岩;④高有机质纹层状强脆性硅质页岩;⑤高有机质块状中等脆性硅/黏土混合质细粒岩;⑥中有机质块状强脆性硅质细粒岩;⑦中有机质纹层状强脆性硅质页岩;⑧低有机质块状强脆性硅质细粒岩;⑨低有机质纹层状中脆性硅/黏土混合质页岩。其中,前5类页岩相形成于深水缺氧、暖湿型气候和以低温热水沉积作用为主的环境,初级生产力和古盐度较高,有机质富集受控于古氧化还原条件、古生产力、古盐度、古水深、暖湿型气候和热液活动,而其他岩相有机质富集则不受热液活动影响,沉积环境初级生产力和古盐度有所下降;建立了一个受氧化还原条件、古生产力、古盐度、热液活动及暖湿型气候影响的深水陆棚相沉积模式。     

贵州岩溶塌陷分布及其影响因素分析

贵州省处于东亚岩溶区中心,具有岩溶最复杂、类型最齐全、分布面积最大的特点,岩溶塌陷是贵州的主要地质灾害之一。以贵州省2011~2013年重点地区重大地质灾害统计资料以及岩溶分布规律为依据,从地形地貌、地层岩性、地质构造、地下水动态变化等方面对岩溶塌陷的影响因素进行了分析,认为岩溶塌陷与上述因素密切相关。其结论对于防灾、减灾、避灾具有借鉴作用。     

Water quality in the southern Tibetan Plateau: chemical evaluation of the Yarlung Tsangpo (Brahmaputra)

Yarlung Tsangpo (Brahmaputra) is the largest river system draining the northern slopes of the Himalayan ranges on the southern Tibetan Plateau. It remains one of only two large non‐regulated rivers in China. In this paper the chemical composition of Yarlung Tsangpo and its major tributaries (Raga Tsangpo, Nyangchu and Lhasa River) are studied. Water samples (n = 55) were collected and measured for major ions, trace elements and nutrients in order to: (1) define the present chemical quality of this water course; (2) address possible mechanisms governing the water chemical compositions, and (3) identify potential sources for contaminants. Multivariable analysis shows that geology and climate are the major explanatory variables for the spatial variation in water chemistry in this river system. In general, water chemistry is mainly controlled by carbonate weathering, with Ca²⁺ and HCO being the dominant ions. In addition, runoff from brackish/saline lakes and geothermal waters, enriched in Na⁺, Cl^?, SO, Mg²⁺ and Li, are major contributors of elevated concentrations of these solutes in the headwater regions resulting in a relatively high loading of total dissolved solids (TDS, 146–397 mg L^?1). Levels of most heavy metals and total dissolved nutrients were generally found to be low. However, elevated As concentration (avg. 95 μg L^?1) in the headwaters and additions from untreated wastewater were evident at some locations. Copyright © 2009 John Wiley & Sons, Ltd.     

The impact of misregistration on SRTM and DEM image differences

Image differences between Shuttle Radar Topography Mission (SRTM) data and other Digital Elevation Models (DEMs) are often performed for either accuracy assessment or for estimating vegetation height across the landscape. It has been widely assumed that the effect of sub-pixel misregistration between the two models on resultant image differences is negligible, yet this has not previously been tested in detail. The aim of this study was to determine the impact that various levels of misregistration have on image differences between SRTM and DEMs. First, very accurate image co-registration was performed at two study sites between higher resolution DEMs and SRTM data, and then image differences (SRTM–DEM) were performed after various levels of misregistration were systematically introduced into the SRTM data. It was found that: (1) misregistration caused an erroneous and dominant correlation between elevation difference and aspect across the landscape; (2) the direction of the misregistration defined the direction of this erroneous and systematic elevation difference; (3) for sub-pixel misregistration the error due solely to misregistration was greater than, or equal to the true difference between the two models for substantial proportions of the landscape (e.g., greater than 33% of the area for a half-pixel misregistration); and (4) the strength of the erroneous relationship with aspect was enhanced by steeper terrain. Spatial comparisons of DEMs were found to be sensitive to even sub-pixel misregistration between the two models, which resulted in a strong erroneous correlation with aspect. This misregistration induced correlation with aspect is not likely specific to SRTM data only; we expect it to be a generic relationship present in any DEM image difference analysis.