Boundary-layer parameterizations for applied dispersion modeling over urban areas

Many applied dispersion models require the knowledge of boundary-layer parameters such as sensible heat flux,Q _H , friction velocity,u _*, and turbulent energy components, _w and _v . Formulas are suggested for calculating these parameters over a wide variety of types of ground surfaces, based on simple observations of wind speed near the ground and fractional cloud cover, and specification of constants such as roughness length, albedo, and soil moisture availability. Observations ofu _*,Q _H , _w , and _v during field experiments in St. Louis and Indianapolis are used to test the formulas for urban sites. Relative errors of about ±20% in the predictions are seen to occur whenu _*,Q _H , _w , and _v are large. However, when these quantities are small (e.g.,u _* < 0.2 m/s), the errors in the predictions are as large as the mean value of the quantity itself.In addition, it is concluded from studies of available field data and theories that the magnitude of _w is not well-known at elevations above about 100m during the late afternoon and night. Some simple parameterizations for _w . are suggested that are consistent with the observed steady decrease in ground-level concentration in the afternoon and the sudden increase in concentration that can occur a few hours after sunset due to wind shears associated with a low-level jet, for continuous plumes emitted from moderate to tall stacks.     

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.     

Damage Survey of Water Supply Systems and Fragility Curve of PVC Water Pipelines in the Chi–Chi Taiwan Earthquake

Substantial damage to water supply systems, including water delivery pipelines, water treatment plants, reservoirs, and water storage tanks, was reported after the 1999 Chi–Chi Taiwan Earthquake. This paper first summarizes the damage survey and then presents the results of seismic fragility analysis for underground pipelines. Construction blueprints of the water delivery pipelines and repair work orders of 11 townships and cities in the disastrous area were digitized into a Geographical Information System (GIS) for analysis and assessment. With the aid of the GIS system, we found that PVC pipes made up 86% of water delivery pipelines while steel, cast iron, ductile iron, PE and others took the rest. Therefore, this paper focuses on the fragility analysis of PVC pipes. Three different methods were applied to derive the fragility relations between the PVC water pipes having nominal diameters (approximately inner diameters) greater than or equal to 65 mm and earthquake intensity parameters such as peak ground acceleration and peak ground velocity. The results were then examined with those of other countries. The discrepancy between our results and the empirical equation used by HAZUS, an earthquake loss estimation software developed by the Federal Emergency Management Agency was not significant.     

Early Estimation of Seismic Hazard for Strong Earthquakes in Taiwan

A shakemap system providing rapid estimates of strong ground shaking could be useful for emergency response providers in a damaging earthquake. A hybrid procedure, which combines site-dependent ground motion prediction models and the limited observations of the Real-Time Digital stream output system (RTD system operated by Central Weather Bureau, CWB), was set up to provide a high-resolution shakemap in a near-real-time manner after damaging earthquakes in Taiwan. One of the main factors that affect the result of ground motion prediction analysis is the existence of site effects. The purpose of this paper is to investigate the local site effects and their influence in the ground shaking and then establish an early estimation procedure of potential hazard for damaging earthquakes. Based on the attenuation law, the site effects of each TSMIP station are discussed in terms of a bias function that is site and intensity-level dependent function. The standard deviation of the site-dependent ground motion prediction model can be significantly reduced. The nonlinear behavior of ground soil is automatically taken into account in the intensity-level dependent bias function. Both the PGA and the spectral acceleration are studied in this study. Based on the RTD data, event correctors are calculated and applied to precisely estimate the shakemap of damaging earthquakes for emergency response.     

地学自由曲面径向基函数网络重建的详细算法

径向基函数(RadialBasisFunction,简称RBF)神经网络是一种理想的地学离散数据网格化工具,能够适应各种不同分布形式和边界条件的数据,收敛速度较快,可以逼近任何复杂曲面。这里详细介绍了RBF神经网络的算法。适当径向基函数的形式和偏差系数是使用RBF神经网络作地学曲面重建的关键。大量的实际数据验证结果表明,当选用Gauss型径向基函数时,一般可获得比较理想的网格化效果,同时具备"曲面平滑"和"拟合度高"的特点。     

HD-4002型综合测井仪

HD 4002型综合测井仪是核工业北京地质研究院于1998年开始研制的, 其目标是为铀矿地质系统提供适合砂岩型铀矿勘查的轻便型数字测井仪, 满足测井生产的需要。该仪器于2001 年3月通过部级鉴定, 2002至2003年投入海拉尔盆地铀矿勘查测井试生产。本文介绍了仪器的用途、功能及特点、性能指标, 简要说明了各部分的工作原理。     

冲绳海槽玄武岩中中酸性残余熔体研究及其岩石学意义

与洋壳有关的酸性岩由于对了解幔源岩浆的演化以及判别古老蛇绿岩套及其构造位置的重要意义而倍受岩石学家和构造地质学家的关注。本对发现于冲绳海槽玄武岩基质中的中酸性到酸性残余熔体进行了详细研究，它们提供了幔源玄武岩浆结晶分异形成酸性岩浆的直接证据。在细小的基质矿物间分布有一种玻璃质的残余熔体，其成分随距冷凝边距离(L)的增加而越来越酸性。在SiO2对Na2O K2O图解上，残余熔体的投影点从玄武岩到英安岩均有分布，反映了一个连续的演化系列。在AFM图解上，残余熔体表现出与Thingmuli火山岩系列类似的拉斑玄武岩系列的演化趋势。我们的研究表明：残余熔体的演化受结晶分异作用控制。在早期结晶阶段，辉石的结晶起主导作用，结果造成残余熔体中SiO2、Al2O3，Na2O的迅速增加，FeO、MgO、CaO迅速降低。在晚期结晶阶段，斜长石成为主导结晶相，导致残余熔体中Al2O3，Na2O的迅速消减。Al2O3、Na2O从增加到降低的转变出现在SiO2=62％左右。在L=27．5mm处，85～90％的基质岩浆已发生了结晶作用，导致残余熔体中SiO2含量达到69～70％，而且此处还新出现了一种富FeTi的氧化物。该玄武岩中残余熔体和基质矿物的成分及演化特征分别与Thingmuli火山岩系列中酸性端元的组成相似，在也佐证了Thingmuli火山岩系列是幔源岩浆结晶分异的产物.     

邯峰矿区古构造应力场与构造演化

采用共轭剪节理应力反演方法,恢复了邯郸-峰峰矿区晚古生代以来的3期古构造应力场,进而探讨了煤田构造的演化历史,将其分为4大阶段：①中生代早期近NS向挤压,煤系后期改造初动期;②中生代晚期SE-NW向挤压,奠定煤田构造格架的基础;③中生代末至古近纪NW-SE向拉张,煤田构造格架定型;④新近纪以来近东西向拉张,煤田构造的现代活动.     

种植条件下土壤水与地下水相互转化研究

选择天山北麓平原两种代表性作物冬小麦和玉米，人为控制不同潜水埋深条件下进行了种植试验，分析研究了种植条件下土壤水和地下水相互转化机理。计算了不同潜水埋深条件下冬小麦和玉米各生育期和全生长期的实际蒸发蒸腾量、潜水补耗差、包气带土壤储水量变化量及同期的潜在蒸发量，结果表明潜水埋深对土壤水和地下水相互转化及农业生态环境具有重要影响。引入了包气带一潜水系统水分转化量均衡临界深度(Z0)概念，发现潜水埋深小于Z0时，潜水向土壤水的转化起主导作用，潜水和土壤水同时对作物需水具有重要动态调节作用，潜水埋深越浅潜水的动态调节能力越强，但是潜水埋深过浅又可能引起土壤次生盐渍化等农业生态环境问题；当潜水埋深大于Z0时，土壤水向潜水的转化起主导作用，土壤水对作物需水仍具有动态调节能力，而潜水基本失去或完全失去对作物需水的动态调节作用，但是有利于潜水入渗补给，增加地下水资源。