西昌市地质灾害发育分布规律及防灾建议

西昌市地处川西的安宁河流域,区内地质条环境件复杂,生态环境脆弱,泥石流、滑坡等地质灾害发育,给当地居民生命财产安全及经济发展带来了较大影响。本文通过对西昌市目前发育的153处不同类型的地质灾害进行统计,总结了地质灾害在流域、高程、时段等方面的分布规律;对影响或控制西昌市地质灾害发育的地形地貌、构造、岩土体结构、地震、降雨及人类工程活动等因素进行了分析、总结;并针对西昌市的地质灾害类型及发育分布特征提出了适用于该地区的科学、合理的地质灾害防灾建议。     

基于神经网络的时间域直升机电磁数据电导率深度成像

采用G-S变换以及高斯数值积分法,形成了时间域直升机的航空电磁响应正演样本集,分析了飞机测量过程中吊舱高度变化对电磁响应的影响,并将吊舱高度的变化等效成电导率为零的假层厚度的变化,以去除高度计等的影响.以假层半空间模型为基础,研究了基于人工神经网络的电导率深度成像算法,通过分析两个三层模型的电导率深度成像结果得出,神经网络方法计算时间域航空电磁探测的视电导率精度较高,特别是对高阻层的视电导率计算.     

基于贝叶斯框架的各向异性页岩储层岩石物理反演技术

页岩岩石物理建模旨在建立页岩矿物组分、微观结构、流体填充与岩石弹性参数的关系.对四川盆地龙马溪组页岩进行岩石物理建模研究,针对页岩黏土含量高、层间微裂缝发育等特点,利用Backus平均理论描述页岩黏土矿物弹性参数,利用Chapman理论计算与水平微裂缝有关的VTI各向异性,并利用Bond变换考虑地层倾角的影响.提出以黏土矿物纵、横波速度和孔隙纵横比为拟合参数进行岩石物理反演的方法,并引入贝叶斯框架减小反演的多解性.由已知的黏土矿物纵、横波速度和孔隙纵横比作为先验信息,并以测井纵、横波速度作为约束条件建立反演的目标函数,同时利用粒子群算法进行最优化搜索.计算结果表明,基于先验约束和粒子群算法的反演方法能够较准确地反演黏土矿物的弹性参数、孔隙形态参数以及裂缝密度等参数.计算得到的黏土纵、横波速度较高,并且在一定范围内变化,这可能与龙马溪组页岩的黏土矿物组分中具有较高弹性模量的伊利石含量较高有关,同时也与黏土定向排列等微观物性特征有关.反演得到的裂缝密度与纵波各向异性参数ε呈明显的正相关,而与横波各向异性参数γ相关性较小.另外,页岩各向异性参数与黏土垂向的纵横波速度有较强的相关性.

     

饱水岩石加载变形过程中视电阻率–渗透率的关联性

根据岩石受载变形破坏过程中视电阻率和渗透率的演化规律,分析了岩体破坏过程中视电阻率和渗透率变化的关联性,指出饱水条件下岩石变形破坏过程中视电阻率与渗透率关系密切.基于Archie公式和Carman-Kozeny公式,推导出了饱水岩石渗透率和视电阻率之间的关系式.同时,从岩石加载过程变形破坏的细观分析角度,探讨了渗透率-视电阻率关系式的合理性,进而指出了其成立的基础条件和应用意义.     

南黄海海相油气勘探前景探讨与问题分析

南黄海海域的中、古生代海相油气前景广阔,是重要的油气战略接替基地。由于多期构造运动的改造作用,原型盆地遭受强烈破坏,地质构造复杂,地球物理勘探精度低,造成对地层与构造认识不清,油气分布规律不明。针对勘探中面临的主要问题,提出的主要对策是：重点开展地球物理勘探技术创新研究与攻关试验工作,提高方法技术的适用性与有效性;在大地构造理论的指导下,重点开展多期构造活动背景下有效烃源岩、储层、保存条件等因素的研究工作,对区域油气地质条件优越且地层、岩性等特征存在争议的局部构造实施科学钻探等。     

北黄海盆地东部坳陷勘探突破对我国近海残留“黑色侏罗系”油气勘探的启示

最新的勘探和研究证实,北黄海盆地东部坳陷发育了中、上侏罗统2套有效烃源岩并以上侏罗统为主力烃源岩层,在其供烃范围内形成了上侏罗统-下白垩统"下生上储式"和中-上侏罗统"自生自储式"2类成藏组合,取得了我国东部海域以侏罗系为唯一源岩的含油气盆地勘探突破。为进一步探索我国近海盆地残留"黑色侏罗系"的资源潜力和勘探前景,本文采用地震-地质综合解释、烃源岩地球化学分析、盆地模拟等方法,综合分析了我国近海主要盆地残留"黑色侏罗系"的分布和地球化学特征。结果表明,我国近海残留侏罗系暗色泥岩烃源岩非均质性较强,多属"中等"级别,局部发育"中等-好"、"中等-差"级别烃源岩,侏罗系烃源岩大多存在早（J₃-K₁）、晚（E₂末-N₁）2期生、排烃高峰,生烃总量达1.4×10¹¹ t,资源前景乐观,预测可形成侏罗系"自生自储式"和侏罗系-白垩系（或新生界）"下生上储式"2类源储组合。     

Numerical simulation of the Kuroshio using nested model of three-dimensional baroclinic circulation

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Sea surface temperature and salinity reconstruction based on stable isotopes and Mg/Ca of planktonic foraminifera in the western Pacific Warm Pool during the last 155 ka

Changes in sea surface temperature(SST), seawater oxygen isotope(δ 18 O sw), and local salinity proxy(δ 18 O sw-ss) in the past 155 ka were studied using a sediment core(MD06-3052) from the northern edge of the western Pacifi c Warm Pool(WPWP), within the fl ow path of the bifurcation of the North Equatorial Current. Our records reveal a lead-lag relationship between paired Mg/Ca-SST and δ 18 O during Termination II and the last interglacial period. Similarity in SST between our site and the Antarctic temperature proxy and in CO 2 profi le showed a close connection between the WPWP and the Antarctic. Values of δ 18 O sw exhibited very similar variations to those of mean ocean δ 18 O sw, owing to the past sea-level changes on glacial-interglacial timescale. Calculated values of δ 18 O sw-ss refl ect a more saline condition during high local summer insolation(SI) periods. Such correspondence between δ 18 O sw-ss and local SI in the WPWP may refl ect complex interaction between ENSO and monsoon, which was stimulated by changes in solar irradiance and their infl uence on the local hydrologic cycle. This then caused a striking reorganization of atmospheric circulation over the WPWP.     

马尼拉全海笋的生态观察

对马尼拉全海笋Ｂａｒｎｅａｍａｎｉｌｅｎｓｉｓ（Ｐｈｉｌｉｐｐｉ）的生态环境、生活习性与分布等进行了观察。马尼拉全海笋在我国仅分布于南海，生活在潮间带高、中潮区风化岩石或胶粘的泥质中，生活海区的水温８～３２℃，盐度２０～３３，海水ｐＨ８．２～８．４，穴深随壳长的增长而加深，洞穴与滩面呈４５～９０°。以底栖硅藻和有机碎屑为食。壳长平均第一年为４５．１ｍｍ，第二年达５７．２ｍｍ，第三年６３．２ｍｍ。雌雄异体，繁殖期在夏季。肉可食用。     

A dissection of the surface temperature biases in the Community Earth System Model

Based upon the climate feedback-responses analysis method, a quantitative attribution analysis is conducted for the annual-mean surface temperature biases in the Community Earth System Model version 1 (CESM1). Surface temperature biases are decomposed into partial temperature biases associated with model biases in albedo, water vapor, cloud, sensible/latent heat flux, surface dynamics, and atmospheric dynamics. A globally-averaged cold bias of ?1.22 K in CESM1 is largely attributable to albedo bias that accounts for approximately ?0.80 K. Over land, albedo bias contributes ?1.20 K to the averaged cold bias of ?1.45 K. The cold bias over ocean, on the other hand, results from multiple factors including albedo, cloud, oceanic dynamics, and atmospheric dynamics. Bias in the model representation of oceanic dynamics is the primary cause of cold (warm) biases in the Northern (Southern) Hemisphere oceans while surface latent heat flux over oceans always acts to compensate for the overall temperature biases. Albedo bias resulted from the model’s simulation of snow cover and sea ice is the main contributor to temperature biases over high-latitude lands and the Arctic and Antarctic region. Longwave effect of water vapor is responsible for an overall warm (cold) bias in the subtropics (tropics) due to an overestimate (underestimate) of specific humidity in the region. Cloud forcing of temperature biases exhibits large regional variations and the model bias in the simulated ocean mixed layer depth is a key contributor to the partial sea surface temperature biases associated with oceanic dynamics. On a global scale, biases in the model representation of radiative processes account more for surface temperature biases compared to non-radiative, dynamical processes.