基于弯道超高计算泥石流流速的探讨

泥石流流速是难以实测和准确推算的重要参数。在分析既有各类弯道超高计算公式的基础上,探讨适用于各类泥石流的弯道超高计算模式,进而改进基于弯道超高的粘性泥石流、稀性泥石流和泥流的流速计算公式,用实例加以验证。     

金沙江某水电站库区泥石流地质灾害研究

金沙江是我国水能资源最为丰富的江河之一，但在金沙江上修建水库，泥石流是经常遇到的地质灾害问题。文章在详细调查了库区地层岩性、构造、滑坡的前提下，结合金沙江某水库区泥石流发育与降雨、地层岩性、构造、滑坡及地形地貌的关系深入探讨了库区泥石流的类型、规模、特征及发育阶段。研究表明：(1)本库区泥石流活动历史久远，泥石流地质灾害活跃，在部分泥石流地质灾害衰退的同时，更多的泥石流沟在逐步形成：(2)水库蓄水，减小了泥石流沟的比降，会在一定程度上降低泥石流的活动性及破坏能力；(3)泥石流对水库的影响主要为输送泥沙，造成水库淤积。     

流动注射-光度法测定地质样品中痕量碘

利用I~-对4,4′-四甲基二氨基二苯甲烷(4,4′-TMB-DPM)与氯胺T反应的催化作用,建立了流动注射-分光光度测定地质样品中痕量碘的方法。采用不等流速合并带法,分析速度快、节省试剂、灵敏度高。与高温水解法释放I~-相结合,使样品处理简单、干扰离子少。对于含I~-10μg/L的水样,其RSD(n=19)为1.1％,检出限为0.3ng/ml。用于水系沉积物、土壤分析时,含碘1.6×10~(-6)的样品RSD(n=10)为6.1％,检出限为0.08×10~(-6)。测量速度50N/h。     

基于脱钩模型的煤炭城市可持续发展动态分析——以徐州市为例

促进经济与环境协调是煤炭城市可持续发展的关键和核心。采用物质流分析、脱钩分析和分解分析等方法,深入分析了1995—2007年徐州市经济增长与资源环境之间的脱钩类型、可持续状态及驱动因素。结果表明:研究期内徐州市DMI和DPO的年均增长率分别为2.74%和0.91%,而GDP年均增长率为12.62%,二者之间呈较为明显的正相关关系,而物质代谢效率的提升又使其发展方式呈现向资源节约型、环境友好型发展模式转型的趋势;资源投入、废物排放与经济增长之间均出现弱脱钩现象,表明徐州经济系统正处于显著的弱可持续发展态势;经济规模扩大和技术效应抑制作用减弱是引起煤炭城市资源环境约束性增强、可持续发展降低的主要驱动因素。     

动态指标层析法介绍

参数值是影响模拟结果正确可信的重要因素。介绍了一、二维模拟中参数值确定的动态指标层析法，以及作为其发展基础的由多种热指标确定古充的反演方法，简述了动态指标和热指标相结合的确定参数值层析方法。     

哈尔滨市磨盘山水利枢纽区三维渗流数值模拟模型研究

哈尔滨市磨盘山水库防渗型式拟采用垂直砼防渗墙及帷幕灌浆方案。为了分析左岸不同长度防渗对水库渗漏量及坝基渗透稳定性的影响。对磨盘山水利枢纽区渗流场进行了三维数值模拟研究。结果表明，随着左岸防渗长度的增大。渗漏量及下游渗流出口渗透比降基本呈线性趋势减小。当左岸防渗长度为200m时。渗漏量及各渗透比降均小于允许值，为推荐的渗控方案。     

基于ArcGIS＋DEM的三眼峪泥石流水动力条件分析

通过对甘肃省舟曲三眼峪特大泥石流灾害的现场调查,从泥石流形成的地形地貌条件和水动力条件人手,以ArcGIS为平台,运用DEM数据,分析了特大泥石流灾害的三区地形地貌特征、固体松散物特征、降雨特征以及泥石流静力学和动力学特征。结果表明：三眼峪三区为泥石流的形成和径流流通提供了极为有利地形条件;固体松散物质补给量潜力巨大,会导致堰塞坝的放大效应;诱发此次特大山洪泥石流是一场局地性、短时强度大的暴雨过程,泥石流容重在2．10t·m^-3左右,属于高容重黏性泥石流;泥石流屈服应力在8000Pa以上,大小眼峪（降雨汇流区）及三眼峪（泥石流堆积区）泥石流流速分别为8．97m／s、7．06m／s和6．02m／s,洪峰流量分别为1659m^3／s、1553m^3／s和1896m^3／s,冲击力分别为46676tf、40236tf和21182tf,其破坏力巨大,危害严重,使得泥石流在汇流区破坏力巨大以切蚀为主,受地形影响,三眼峪出口处,冲击力减小,泥石流发生堆积。     

The dynamics of a channel-fed lava flow on Pico Partido volcano, Lanzarote

A short length of channel on Pico Partido volcano, Lanzarote, provides us the opportunity to examine the dynamics of lava flowing in a channel that extends over a sudden break in slope. The 1–2-m-wide, 0.5–2-m-deep channel was built during the 1730–1736 eruptions on Lanzarote and exhibits a sinuous, well-formed channel over a steep (11° slope) 100-m-long proximal section. Over-flow units comprising smooth pahoehoe sheet flow, as well as evidence on the inner channel walls for multiple (at least 11) flow levels, attest to unsteady flow in the channel. In addition, superelevation is apparent at each of the six bends along the proximal channel section. Superelevation results from banking of the lava as it moves around the bend thus causing preferential construction of the outer bank. As a result, the channel profile at each bend is asymmetric with an outer bank that is higher than the inner bank. Analysis of superelevation indicates flow velocities of ~8 m s^–1. Our analysis of the superelevation features is based on an inertia-gravity balance, which we show is appropriate, even though the down-channel flow is in laminar flow. We use a viscosity-gravity balance model, together with the velocities calculated from superelevation, to obtain viscosities in the range 25–60 Pa s (assuming that the lava behaved as a Newtonian liquid). Estimated volume fluxes are in the range 7–12 m³ s^–1. An apparent down-flow increase in derived volume flux may have resulted from variable supply or bulking up of the flow due to vesiculation. Where the channel moves over a sharp break in slope and onto slopes of ~6°, the channel becomes less well defined and widens considerably. At the break of slope, an elongate ridge extends across the channel. We speculate that this ridge was formed as a result of a reduction in velocity immediately below the break of slope to allow deposition of entrained material or accretion of lava to the channel bed as a result of a change in flow regime or depth.     

The effect of bed mobility on resistance to overland flow

When sediment grains are transported as bed load in overland flow, there is a net transfer of momentum from the flow to the grains. When these grains collide with other grains, whether on the bed or in the flow, streamwise flow velocity decreases and resistance to flow increases. Resistance to flow generated in this manner is termed bed‐load transport resistance. Resistance to flow f over a plane bed may be partitioned into grain resistance f_g and bed‐load transport resistance f_bt. We use the symbols f_btf and f_btm to denote f_bt for flows over fixed beds and over mobile beds, respectively, and we compute the effect of bed mobility on flow resistance f_mob by subtracting f_btf from f_btm. The data for this study come from 54 flume experiments with fixed beds and 38 with mobile beds. On average f_mob is approximately equal to half of f_btm, which is about one‐quarter of f. Hence, f_mob is about one‐tenth of f. Predictive equations are developed for f_btf, f_btm and f_mob using dimensional analysis to identify the relevant independent variables and regression analysis to evaluate the coefficients associated with these variables. Values of f_mob are always positive which implies that mobile beds offer greater resistance to flow than do fixed beds. Evidently bed‐load grains colliding with mobile beds lose more momentum to the bed than do grains colliding with fixed beds. In other words, grain collisions with mobile beds are less elastic than those with fixed beds. Copyright © 2005 John Wiley & Sons, Ltd.