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71.
Shabbir Ahmed Alauddin Khan Peter Salpas 《Journal of the American Water Resources Association》2003,39(5):1127-1142
ABSTRACT: A three‐dimensional fractured medium flow model was developed for the Bear Creek Valley (BCV) S‐3 site of the Oak Ridge Reservation (ORR) using SWIFT III. The numerical modeling for this site focused on a conceptual model established through the analysis of heterogeneous geologic units and matrix fracture properties of the subsurface in the BCV area. The SWIFT III modeling analysis was based on the previous modeling studies that used MODFLOW and MODPATH. A rigorous calibration was obtained first by comparing simulated results with the existing data on ground water levels and then by comparing pumping test results with the simulated ground water levels. A satisfactory agreement between observed and simulated results was obtained. The calibrated model was used to determine sustained yield from a ground water interceptor trench. Different withdrawal rates were used to simulate the performance of the trench for the sustained withdrawal of ground water. 相似文献
72.
This study aimed to locate VOC emission sources and characterized their emitted VOCs. To avoid interferences from vehicle exhaust, all sampling sites were positioned inside the refinery. Samples, taken with canisters, were analyzed by GC–MS according to TO-14 method. The survey period extended from Febrary 2004 to December 2004, sampling twice per season. To interpret a large number of VOC data was a rather difficult task. This study featured using ordinary application software, Excel and Surfer, instead of expensive one like GIS, to overcome it. Consolidating data into a database on Excel facilitated retrieval, statistical analysis and presentation in the form of either table or graph. The cross analysis of the data suggested that the abundant VOCs were alkanes, alkenes, aromatics and cyclic HCs. Emission sources were located by mapping the concentration distribution of these four types of VOCs in terms of contour maps on Surfer. During eight surveys, five emission sources were located and their VOCs were characterized. 相似文献
73.
为了研究倾斜特厚煤层综放开采采空区孔隙率分布规律,确定采空区高位钻孔位置,有效治理采空区瓦斯灾害,以硫磺沟煤矿9-15(06)工作面为例,采用UDEC数值模拟软件研究采空区覆岩垮落和裂隙演化规律,根据采空区覆岩下沉量,计算得到采空区孔隙率三维分布规律。研究结果表明:倾斜特厚煤层采空区覆岩位移云图在垂直方向呈3段分布,以距离工作面底板23 m和80 m为分界线,位移矢量密度显著降低,冒落带高度为23 m,与经验公式25 m基本一致,大于薄、中厚和厚煤层;受倾角影响,垮落矸石滑移、充填采空区下端,覆岩下沉量呈非对称椭圆形,中上部下沉量最大;冒落带孔隙率在上、下隅角处最大,中上部最小,随着覆岩高度增加,采空区边缘处和深部孔隙率差值逐渐减小。研究结果为倾斜特厚煤层采空区瓦斯抽采高位钻孔的布置提供了理论基础。 相似文献
74.
震后灾情的快速评估是政府救灾的主要决策依据,而烈度的快速评估是其基础。本文在ArcGIS二次开发的基础上提出了一套城市震后烈度快速评估系统,并以福州市为例介绍了该系统的功能。首先,根据具有跨平台运行能力的实时数据接收程序,将福州强震台网所记录到的地震数据文件导入本系统,再利用福州地区各类场地的地震动放大因子β,经过本系统自行编制的计算程序的快速处理,可以在1~2分钟的时间内得到福州地区的地震烈度分布图及加速度等值线分布图;另外,如果强震台没有得到强震记录,依靠中国地震台网中心发布的地震震源参数信息,同样可以进行烈度快速评估。 相似文献
75.
76.
鞍山市化学事故辅助决策系统的开发 总被引:1,自引:0,他引:1
以科学实用为出发点,对鞍山市化学事故辅助决策系统的建立和开发进行了研究。分析讨论了建立该辅助决策系统软件的背景及意义;根据GB6944—2005《危险货物品名表》,应用Access2003数据库和VB6.0语言进行编程,构建危险化学品资料查询数据库,实现模糊查询和精确查询功能;通过分析、比较扩散模型中应用较广泛的高斯模型、SLAB模型、ADMS模型,结合鞍山市当地的实际气象数据,确定ADMS模型为该软件所用扩散模型,并根据ADMS模型和毒负荷法建立危险区域划分标准;根据鞍山市的实际情况,在灵图2006和消防水源电子地图的共同支持下,实现救援车辆电子地图导航和现场实时水源显示功能。 相似文献
77.
Mass spectrometry fingerprinting of humic acids extracted from different soils has been carried out using laser desorption/ionization mass spectrometry (LDI-TOF MS). LDI-TOF MS provides characteristic mass spectra fingerprints for the humic acids of different origin. The information given in the fingerprints was evaluated for natural grouping trends in the samples by neural networks computing tools, such as self-organizing feature map (SOFM). This approach is efficient for recognizing patterns in the humic acids samples independently of their characteristic variability; variability characterizing natural products such as humic substances. The use of multi-layer perceptron artificial neural networks gave a successful classification of the samples. 相似文献
78.
79.
Jorge A.?ArgáezEmail author J.?Andrés Christen Miguel?Nakamura Jorge?Soberón 《Environmental and Ecological Statistics》2005,12(1):27-44
We introduce a methodology to infer zones of high potential for the habitat of a species, useful for management of biodiversity, conservation, biogeography, ecology, or sustainable use. Inference is based on a set of sites where the presence of the species has been reported. Each site is associated with covariate values, measured on discrete scales. We compute the predictive probability that the species is present at each node of a regular grid. Possible spatial bias for sites of presence is accounted for. Since the resulting posterior distribution does not have a closed form, a Markov chain Monte Carlo (MCMC) algorithm is implemented. However, we also describe an approximation to the posterior distribution, which avoids MCMC. Relevant features of the approach are that specific notions of data acquisition such as sampling intensity and detectability are accounted for, and that available a priori information regarding areas of distribution of the species is incorporated in a clear-cut way. These concepts, arising in the presence-only context, are not addressed in alternative methods. We also consider an uncertainty map, which measures the variability for the predictive probability at each node on the grid. A simulation study is carried out to test and compare our approach with other standard methods. Two case studies are also presented. 相似文献
80.