藏东南部泥石流堵河试验研究

通过模型试验对泥石流入汇主河后堵塞坝形成过程以及堵塞坝体溃决后主河河床形态特征进行了研究。实验历时3个月,共13组试验。在支主沟交汇角为90°的情况下,通过改变支沟泥石流容重、支主沟的流量比和动量比,建立了泥石流堵河的判别公式,当r>1 001.16时容易发生堵河现象,并对培龙沟两次泥石流堵河事件进行了判定;定义了主河的束窄率S与主河流速变异系数Fv,并发现了主河的束窄率与支主沟动量比之间存在线性关系;主河稳定后的平均宽度与流速变异系数之间存在幂的关系。该实验能够较好地模拟泥石流堵塞坝形成的过程,结果比较合理,并为泥石流灾害的防治提供了相应的理论基础。     

海南岛附近四季风场的中尺度环流

利用一层σ坐标原始方程数值诊断模式研究海南岛，雷州半岛及其四周海域的地面风场特征，在春夏秋冬四季典型盛行气流下试验，均明显呈现绕流，爬坡，辐合线、海陆风和山谷风效应，看出在不同季节下的中尺度环流存在一定的差异。试验表明，区域内的复杂地形和海陆分布是形成各种中尺度环流的重要原因，同时，揭示出本地气候分布的特征与中尺度环流间存在的密切的关系。     

特殊地形及地形梯度对西昌发射场暴雨的影响

研究了西昌发射场特殊地形及地形梯度对其暴雨天气的影响。对比分析表明：2004年6月23日暴雨过程属于低涡切变型暴雨，6月27日暴雨过程属于两高辐合型暴雨。利用MM5V3．7进行了多组地形敏感试验，结果表明：场区北侧山脉对场区降水量影响明显，西昌东侧山脉对西昌降水量影响明显。地形梯度分析表明，西昌地区所处的河谷地形和场区所处喇叭口小地形，有利于中小尺度气压扰动的发生、发展和暴雨的产生，当地形梯度减弱时，降水量相应减弱。     

高温高压岩石流变仪的围压标定方法

高温高压岩石流变仪围压标定的主要方法为氯化盐类的部分熔融法和矿物相变法。利用氯化盐类进行压力标定时,不仅可以利用单一盐类,也可以使用多种盐类的混合物;常用的压力标定矿物相变及其适用温压范围如下:石英-柯石英,500~1200℃、2.5~3.2GPa;钠长石-硬玉+石英,600~1200℃、1.6~3.2GPa;铁橄榄石+石英-铁辉石,600~1200℃、1~1.7GPa;磷镁石-Mg3(PO4)2-Ⅱ,565~825℃、0.6~0.9GPa;方解石-文石,600~1200℃、0.5~2.5GPa。不同的标定方法具有不同的特征,文中将进行详细介绍。     

一次MCS过程的卫星云图和数值模拟分析

本文应用卫星云图与数值模拟结果对2000年6月2日发生的一次影响江苏的江淮气旋暴雨过程进行研究分析，阐述了这次暴雨过程表现的MCS基本特征。分析表明：MCS的形成可以由几个中β尺度对流云或对流带开始，在特定的环境场中汇合成合并；在其发展过程中必须维持湿度平流，低层到中层有暖平流，骨强偏南风急流伸向形成区，同时在其东北方向有一支高空西风急流相耦合；低层的辐合、整层凝结潜热的释放、垂直运动的增强、高层的辐散引起的正反馈机制是MCS发展的动因。     

中国龙卷风的若干特征

应用数理统计方法和通过对观测资料的分析，研究了龙卷风的气候特征；根据近年天气资料，研究了龙卷风发生的天气系统，层结特征，风场和母体云团的特征。     

柴达木盆地三湖地区第四系沉积相与生物气成藏

柴达木盆地三湖地区第四系蕴藏着巨大的生物气资源,目前已探明加控制天然气储量接近3×1011m3。更新世时期,柴达木盆地的湖相沉积主要分布在三湖(吉乃尔湖、涩聂湖和达布逊湖)地区,自山前至盆地中心依次发育了冲积扇、河流三角洲和湖相沉积,其中湖相沉积分布最为广泛。早更新世湖相沉积开始形成,中更新世湖相沉积扩张并且达到鼎盛,晚更新世湖相沉积开始萎缩并形成盐湖沉积。中、早更新世冰川的出现和青藏高原的崛起使柴达木盆地的古气候变得干旱寒冷,沉积水体温度较低,盐度较高。本区第四纪独特的沉积环境是形成大型生物气藏最重要的地质条件。高盐度的水体环境减缓了有机质的降解速度,长期的低温条件抑制了甲烷菌的活动,避免了沉积有机质在沉积浅埋阶段的过量消耗,推迟了生物产气的高峰期。而三湖地区巨厚的第四系暗色泥岩和频繁发育的砂岩提供了充足的气源条件和构成了良好的生储盖组合。     

个旧锡矿高松矿田综合信息矿产预测

个旧超大型锡铜多金属矿床是我国和世界上重要的锡产地,近年来面临严重的资源危机。通过分析个旧锡矿高松矿田的地质、地球化学、地球物理等信息特征,用统计排序法和地质统计学方法解决了断裂、褶皱、地层、花岗岩等定性信息的量化、分级,用分维确定了考虑线性和面状因素的最佳信息单元大小,利用以Shannon信息论基本原理为基础的分层次自相似信息量加和法在信息类型内部和类型之间进行了信息的有机综合,得到了三级18个预测区,经云南锡业公司工程和已知矿区验证,取得了很好的效果。     

Carbon pools and fluxes in the China Seas and adjacent oceans

The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km~2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr~(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr~(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr~(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr~(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr~(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr~(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr~(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr~(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr~(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr~(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr~(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr~(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr~(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr~(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area.     

西秦岭甘南地区上二叠统毛毛隆组古环境演变:基于遗迹网络分析

西秦岭地区是二叠系—三叠系之交深水相保存较为连续的地区,西秦岭甘南地区上二叠统毛毛隆组发育丰富的遗迹化石(12属17种)。遗迹网络分析作为新兴的研究方法,侧重于用相互连接的遗迹分类群来重建遗迹群落系统,这为研究遗迹群落的行为学和生态学提供了丰富的手段。笔者以西秦岭甘南地区上二叠统毛毛隆组发现的遗迹化石为数据源,运用遗迹网络分析方法,揭示出毛毛隆组遗迹群落具结构化特征,遗迹群落体现出环境驱动的遗迹组合面貌特征: Palaeophycus-Lockeia-Arenicolites-Dictyodora-Planolites-Protovirgularia-Chondrites组合(C1,近源浊流区),Palaeophycus-Lockeia-Arenicolites-Dictyodora-Protovirgularia-Phycodes-Chondrites-Helminthopsis组合(C2,浊流过渡区—浊流远源区),和Palaeophycus-Nereites-Scolicia-Protovirgularia-Helminthopsis组合(C3,远源浊流区)。该遗迹群落由C1演变至C3的过程,揭示了古环境从近源浊流区至远源浊流区的演变历程。