拉斯曼丘陵辐射平衡分量的观测研究

本文对东南极拉斯曼丘陵地区1990年2年—1991年1月近地面辐射平衡的观测资料进行了初步研究。结果表明,该地区辐射平衡各分量有明显的日变化和年变化。夏季辐射强度大,寒季小。大气透明度全年都很好,透明度系数大多在0.8以上,寒季的透明度系数略大于暖季。年平均总辐射强度为119.2W/m~2,10—3月的总辐射累积量约占全年辐射总量的90％。年平均反射率0.42,夏季裸地平均反射率为0.27,寒季雪面平均反射率为0.51。年平均净辐射强度为11.7W/m~2,地表相对大气而言是热源。10—3月净辐射强度为64.1W/m~2,4—9年净辐射强度为-40.6W/m~2,前者说明地表在该段时间内吸收热量,后者为损失热量。     

基于ISSR分子标记数据的兰州百合核心种质构建方法研究

利用ISSR分析获得的数据,研究了依据Nei & Li、SM和Jaccard遗传距离,采用UPGMA聚类法进行逐步聚类筛选核心种质的效果,并最终采用SM遗传距离逐步聚类从175份兰州百合种质中筛选出了37份核心种质。保留了初始种质21.14%的样品,多态性位点数、多态性位点百分率、Nei's遗传多样性指数和Shannon's信息指数的保留率分别为96.08%、96.59%、105.27%、103.62%,t检验表明核心种质的Nei's遗传多样性指数和Shannon's信息指数与原种质没有显著差异,表明构建的核心种质能很好的代表原始种质的遗传多样性。     

太阳能供电系统在天津测震台站的应用

利用太阳能供电系统解决天津市部分台站无法接入交流供电的问题,对部分台供电系统进行改造,采用复合式供电模式,避免农忙或雷雨季节停电问题,以提升台网整体数据传输连续率。     

Integrated method of RS and GPR for monitoring the changes in the soil moisture and groundwater environment due to underground coal mining

Mining affects the environment in different ways depending on the physical context in which the mining occurs. In mining areas with an arid environment, mining affects plants’ growth by changing the amount of available water. This paper discusses the effects of mining on two important determinants of plant growth—soil moisture and groundwater table (GWT)—which were investigated using an integrated approach involving a field sampling investigation with remote sensing (RS) and ground-penetrating radar (GPR). To calculate and map the distribution of soil moisture for a target area, we initially analyzed four models for regression analysis between soil moisture and apparent thermal inertia and finally selected a linear model for modeling the soil moisture at a depth 10 cm; the relative error of the modeled soil moisture was about 6.3% and correlation coefficient 0.7794. A comparison of mined and unmined areas based on the results of limited field sampling tests or RS monitoring of Landsat 5-thermatic mapping (TM) data indicated that soil moisture did not undergo remarkable changes following mining. This result indicates that mining does not have an effect on soil moisture in the Shendong coal mining area. The coverage of vegetation in 2005 was compared with that in 1995 by means of the normalized difference vegetation index (NDVI) deduced from TM data, and the results showed that the coverage of vegetation in Shendong coal mining area has improved greatly since 1995 because of policy input RMB￥0.4 per ton coal production by Shendong Coal Mining Company. The factor most affected by coal mining was GWT, which dropped from a depth of 35.41 m before mining to a depth of 43.38 m after mining at the Bulianta Coal Mine based on water well measurements. Ground-penetrating radar at frequencies of 25 and 50 MHz revealed that the deepest GWT was at about 43.4 m. There was a weak water linkage between the unsaturated zone and groundwater, and the decline of water table primarily resulted from the well pumping for mining safety rather than the movement of cracking strata. This result is in agreement with the measurements of the water wells. The roots of nine typical plants in the study area were investigated. Populus was found to have the deepest root system with a depth of about 26 m. Based on an assessment of plant growth demands and the effect of mining on environmental factors, we concluded that mining will have less of an effect on plant growth at those sites where the primary GWT depth before mining was deep enough to be unavailable to plants. If the primary GWT was available for plant growth before mining, especially to those plants with deeper roots, mining will have a significant effect on the growth of plants and the mechanism of this effect will include the loss of water to roots and damage to the root system.     

A Research on the Algorithm of Local Atomic Time

The goal of all time laboratories’ pursue is to produce and keep a stable, precise and reliable time scale. The long-term stability of the time scale is mainly taken into account in the traditional ALGOS algorithm, while the local atomic time scale should give consideration to both the long-term and shortterm stabilities. From the analysis and research on the atomic clock noise model and under the condition that the long-term stability of the local atomic time scale does not drop, a complete algorithm is proposed which is suitable for the calculation of the local time scale TA (NTSC) carried out at the time laboratory with the time-keeping clocks of a unitary type and being close in performance at the National Time Service Center, called the NTSC for short, of Chinese Academy of Sciences. The data of all the clocks in the NTSC which participated in the calculation of the International Atomic Time (TAI) all the year round in 2008 are applied to the test and verification of the new algorithm, with the result showing that both the short- and long-term stability indexes of the obtained TA (NTSC) are improved. The research result is suitable for the calculation of the atomic time scale of the time laboratory whose time keeping system is similar to that of the NTSC.     

MPLS VPN高速区域网络在天津地震监测系统中的应用.

天津市地震局在“十五”及“十一五”期间,利用MPLS VPN技术,建成了全国最快的区域级地震通信网络系统,实现了54个节点的高带宽互联.本文详细阐述了MPLS VPN技术在天津地震监测系统中的建设与应用情况,以期为今后更好的服务于地震行业提供参考.     

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三种地下水位动态预测模型在吉林西部的应用与对比

准确而可靠地预测地下水埋深对生态环境保护和水资源规划管理具有重要意义。针对吉林西部浅层地下水位动态变化的复杂性和非线性,提出了基于小波分析与人工神经网络相结合的预测方法小波神经网络(WA-ANN)模型。将研究区2002年1月2009年12月当月降水量、蒸发量、人工开采量和前月平均地下水埋深4个参数作为输入,当月平均地下水埋深作为输出,建立浅层地下水埋深预测模型,并与BP神经网络(BP-ANN)模型和自回归移动平均(ARIMA)模型进行比较,对比分析了三者的建模过程及其模拟精度。结果显示:相比两种ANN模型,ARIMA模型建模过程更为简单,计算效率更高;但WA-ANN模型的拟合精度高于BP-ANN和ARIMA模型,预测效果更好。总体来看,WA-ANN模型在浅层地下水埋深预测中具有一定的应用推广价值。     

利用湖州台形变观测资料检测地震激发的地球球形自由振荡

By using the digital observations of the pendulum tiltmeter, water tube tiltmeter,extensometer and volumetric strainmeter at Huzhou station and with the power spectrum density estimation method,we acquired the_0S_5-_0S_50 fundamental sphere free oscillations caused by the Japan earthquake on March 11,2011,then compared it with the PREM model. The relative errors are mostly bigger than 1.2‰. The extensometer and volume strainmeter can clearly detect _0S_2,_0S_3and_0S_4,which are closely related to the deep structure and earth's interior.     

准噶尔盆地火山岩分类研究与应用

岩石分类一直是人们长期探索的课题。由于油气勘探的需要,针对储层研究的盆地火山岩分类已经成为火成岩研究的重要新方向。在综合分析国内外火山岩分类研究的基础上,根据3条野外剖面和21口钻井岩心岩屑的观察描述、岩石薄片鉴定和化学成分分析等资料,依照结构-成分-成因分类原则,建立了适于储层评价的准噶尔盆地石炭系火山岩及其他岩类的岩性分类体系和识别标准。将本区火山岩划分为火山熔岩、火山碎屑熔岩、火山碎屑岩、沉火山碎屑岩等4大类;同时将盆地内与火山岩共生的其他岩类也进行分类和识别,共划分出8大类45种基本类型。与我国东部的中新生代盆地火山岩不同,本区古生代火山岩普遍遭受较长期风化改造和蚀变作用,常见有绿泥石化、碳酸盐化和黏土矿化。这些蚀变会影响到TAS图解岩性判别的结果,因此笔者探讨了蚀变条件下的岩石识别和定名方法。本文分类体系针对火山岩储层研究,结果显示,基于该分类体系岩性与储集空间的类型及其变化规律呈现明显相关性,不同岩性的储集空间类型、组合方式和发育程度存在差异,由此可指导火山岩油气勘探。