A model for thinning of the plasma sheet

A one-dimensional model for thinning of the plasma sheet is developed on the basis of launching a fast mode MHD rarefaction wave propagating in the tailward direction along the plasma sheet. Behind the rarefaction wave the pressure is reduced, leading to thinning of the plasma sheet and also to an Earthward plasma flow with a speed on the order of the sound speed a₀. The plasma sheet thickness is reduced by a factor of 2 if an Earthward plasma flow speed of 0.8a₀ is induced. The predictions of the model are in reasonable agreement with observations.     

黄河影响下开封城市的历史演变

河流对城市的形成和发展起着重要的作用,古人形象地把其比喻为“城市之血脉”。文章从不同的历史时期黄河及其分支对开封城市演变的影响进行分析,得出黄河与开封城市的关系存在着利与害的统一。开封城市的历史发展,即得益于黄河充足的水源,又受害于其频繁的决溢、泛滥、改道。因此,要采用先进的科学技术对黄河进行综合治理开发,使其恢复它应有的美好环境,更好地造福于人民。     

Application of back-propagation networks in debris flow prediction

Debris flows have caused serious loss of human lives and a lot of damage to properties in Taiwan over the past decades. Moreover, debris flows have brought massive mud causing water pollution in reservoirs and resulted in water shortage for daily life locally and affected agricultural irrigation and industrial usages seriously. A number of methods for prediction of debris flows have been studied. However, the successful prediction ratio of debris flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable analytical model for occurrence predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective cumulative rainfall, and (7) effective rainfall intensity. A total of 178 potential cases of debris flows collected in eastern Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 93.82% demonstrates that the presented ANN model with seven significant factors can provide a stable and reliable result for the prediction of debris flows in hazard mitigation and guarding systems.     

Climate change in Mt. Qomolangma region since 1971

Using monthly average, maximum, minimum air temperature and monthly precipitation data from 5 weather stations in Mt. Qomolangma region in China from 1971 to 2004, climatic linear trend, moving average, low-pass filter and accumulated variance analysis methods, the spatial and temporal patterns of the climatic change in this region were analyzed. The main findings can be summarized as follows: (1) There is obvious ascending tendency for the interannual change of air temperature in Mt. Qomolangma region and the ascending tendency of Tingri, the highest station, is the most significant. The rate of increasing air temperature is 0.234 oC/decade in Mt. Qomolangma region, 0.302 oC/decade in Tingri. The air temperature increases more strongly in non-growing season. (2) Compared with China and the global average, the warming of Mt. Qomolangma region occurred early. The linear rates of temperature increase in Mt. Qomolangma region exceed those for China and the global average in the same period. This is attributed to the sensitivity of mountainous regions to climate change. (3) The southern and northern parts of Mt. Qomolangma region are quite different in precipitation changes. Stations in the northern part show increasing trends but are not statistically significant. Nyalam in the southern part shows a decreasing trend and the sudden decreasing of precipitation occurred in the early 1990s. (4) Compared with the previous studies, we find that the warming of Mt. Qomolangma high-elevation region is most significant in China in the same period. The highest automatic meteorological comprehensive observation station in the world set up at the base camp of Mt. Qomolangma with a height of 5032 m a.s.l will play an important role in monitoring the global climate change.     

岩石复电阻率Dias模型及其参数求取方法

Dias模型是众多描述岩石复电阻率的频散特性模型中的一种,它不但参数少,且可由这些参数导出具有特定物理意义的参数。针对Dias模型参数的求取及反演解的不确定性评价,这里提出了一种模拟退火阻尼最小二乘联合反演方法。该方法首先将参数求解空间离散化,利用模拟退火找到全局最优解区间,然后利用阻尼最小二乘法在解空间进行求解。该方法有效地克服了原来两种方法的反演速度慢、反演结果依赖于初值的缺点,并实现了对反演结果多解性的评价。研究结果表明,对于岩石复电阻率数据的处理解释,Dias模型的使用比传统的Cole模型及其变形更具有潜在的优势。     

不等电极距情况下高密度电阻率法的反演结果分析

通过高密度电阻率法的模型实验,得出不等电极距情况对直立高阻薄板和低阻球体反演结果的影响:缺失电极对它正下方的ρ_s影响最大,而异常形态主要在水平方向有明显的变化,异常体随电极缺失的位置有趋势变化,电极缺失的数目越多,异常形态变化越大,但是从整体来看反演剖面图基本相似。     

饱和烃经5à分子筛络合前后单体烃碳同位素分析对比研究

通过对自配标准样品(正构烷烃)进行5à分子筛吸附试验,测定了用5分子筛吸附法分离前后正构烷烃、异构烷烃和环烷烃碳同位素值,探讨试验前后碳同位素值的变化。尽管实验过程中样品经过85℃长时间加热回流及吸附样品的5à分子筛用氢氟酸酸化处理,但实验结果经仪器检测,证明该方法对正构烷烃碳同位素值影响因素不大。本文还介绍了原油和煤可溶有机质中饱和烃络合前后的单体烃碳同位素分析方法。并在前人工作的基础上,改进采用微型索氏抽提加热回流实验装置,既提高了样品的回收率,也减少了样品中轻组分的损失。     

广西地面观测场四周障碍物影响分析

引入障碍物遮挡率和遮挡程度两种评定方法 ,对广西各站观测场四周障碍物进行分析 ,结果表明 :广西地面观测场四周障碍物影响程度属于轻度或以下的台站占 5 0 % ;属于中度影响占 15 % ;达到重度占 35 %。     

青藏高原各拉丹冬地区冰川变化的遥感监测

以位于青藏高原长江源头的各拉丹冬地区冰川为例, 利用2000年的TM数字遥感影像资料、 1969年的航空相片遥感资料、地形图及数字地形模型, 通过遥感图像处理和分析提取研究区小冰期最盛期(LIA)、 1969年和2000年的冰川范围, 并在地理信息系统技术支持下分析该地区冰川的进退情况. 研究结果表明, 该地区1969年冰川面积比小冰期最盛期的冰川面积减少了5.2%, 2000年的冰川面积比1969年的冰川面积减少了1.7%. 从1969年到2000年最大冰川退缩速度为-41.5 m*a-1, 最大冰川前进速度为+21.9 m*a-1. 本区的冰川基本处于稳定状态, 冰川退缩的速度不是太大, 并有前进的冰川存在.     

海拉尔盆地含油气系统

海拉尔盆地为中－新生代的断陷－坳陷型盆地，其发育演化主要经历了地壳隆起、断陷、坳陷、萎缩四个阶段。根据对成藏要素分析，确定出以凹陷为单元的三类含油气系统，各含油气系统都有各自的形成和分布规律。按其空间展布，又可划分为同期并列式、同期交叉式、异期叠合式三种组合形式。这些形式的有效组合，构成了海拉尔盆地内有利的油气聚集带。