某水电站聚碴坑高边墙稳定分析和加固措施研究

受大药量岩塞爆破时爆破强烈震动和强震时水压力、高速水流作用下的岩塞聚碴坑高边墙围岩稳定问题显得十分突出。在研究边墙围岩的软弱结构面的物理力学特征及其组合形式与边墙的交割关系的基础上，充分考虑皮震动荷载影响因素，选择滑体单位宽度，按视倾向下滑，应用岩体力学和工程力学的有关理论进行稳定分析计算和锚索锚固计算的研究方法，经运行实践证明是可行的。     

QPOG技术及其应用研究

研究了地震资料的现场处理技术－－QPOG（Quickly Predicting Oil and Gas），提出利用QPOG技术右以在地震勘探中快速有效地进行油气预测，并给出了有井区和无进区的两种预测方法；有井区以人工神经网络、模糊相似优先比等方法为主，无井区以分形、混沌、突变等理论方法为主，通过对具体研究区的实际预测，证明了方法的实用性。     

爆炸应力波近似处理的分析与研究

通过弹性球面波的势函数求得了爆炸应力波BSW模型中弹性球面波的径向应力、质点振速等的显式解析解，并据此通过数值模拟得出实际计算中将球面波按平面波近似处理的误差及该误差随爆源距离，泊松比等的变化而产生变化的曲线。分析结果表明：距离是影响误差的决定性因素；在此条件下，当距离大于2－5m时，弹性球面波即可近似按平面波处理，其误差不超过5％，当距离小于此范围时，误差较大。     

南京周边地区夏季对流云降水的雷达回波特征与人工增雨

本文利用1998～2002年南京713数字化天气雷达资料,对南京周边地区(距南京150km范围内)7、8、9三个月所有有高显的对流云降水回波进行了统计分析。统计结果发现：南京及其周边地区夏季对流云降水回波在平显上以带状为主,所占比例超过为58．2％,其次是孤立的对流云降水回波,所占比例达到22．6％。在高显上,回波顶高在0℃层以下的降水回波较少,不到10％,回波顶高在0℃～-10℃之间的占11．7％,在-10℃～-20℃之间的占15．3％,-20℃以上的达到63％以上,说明南京及其周边地区夏季对流云中暖云的降水几率很小,大部分为发展旺盛、负温区比较深厚的对流云,这种云是人工增雨作业最理想的云。本文的研究为正确把握作业的时机、催化的部位及用弹量,以便有效地作业,提供了依据。     

Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL

This study describes the retrieval of state variables (LAI, canopy chlorophyll, water and dry matter contents) for summer barley from airborne HyMap data by means of a canopy reflectance model (PROSPECT + SAIL). Three different inversion techniques were applied to explore the impact of the employed method on estimation accuracies: numerical optimization (downhill simplex method), a look-up table (LUT) and an artificial neural network (ANN) approach. By numerical optimization (Num Opt), reliable estimates were obtained for LAI and canopy chlorophyll contents (LAI × C_ab) with r² of 0.85 and 0.94 and RDP values of 1.81 and 2.65, respectively. Accuracies dropped for canopy water (LAI × C_w) and dry matter contents (LAI × C_m). Nevertheless, the range of leaf water contents (C_w) was very narrow in the studied plant material. Prediction accuracies generally decreased in the order Num Opt > LUT > ANN. This decrease in accuracy mainly resulted from an increase in offset in the obtained values, as the retrievals from the different approaches were highly correlated. The same decreasing order in accuracy was found for the difference between the measured spectra and those reconstructed from the retrieved variable values. The parallel application of the different inversion techniques to one collective data set was helpful to identify modelling uncertainties, as shortcomings of the retrieval algorithms themselves could be separated from uncertainties in model structure and parameterisation schemes.     

爆破振动在线监测系统

介绍了爆破振动在线监测系统的开发和应用,特别强调了监测系统的方案选择、性能要求和监测数据的处理等。文后还介绍和讨论了实际应用中监测到的数据。     

Artificial neural network-based storm surge forecast model: Practical application to Sakai Minato,Japan

The present study describes a novel way of a systematic and objective selection procedure for the development of an Artificial Neural Network-based storm Surge Forecast Model (ANN-SFM) with the 5, 12 and 24 h-lead times and its application to Sakai Minato area on the Tottori coast, Japan. The selection procedure guides how to determine the superiority of the best performing model in terms of the appropriate combination of unit number in the hidden layer and parameter in the input layer. In the application of ANN-SFM to Sakai Minato, it is found that the best 5 and 12 h-forecast ANN-SFMs are established with the most suitable set of 70 units (the number of hidden neurons) and the input components of surge level, sea level pressure, the depression rate of sea level pressure, longitude, latitude, central atmospheric pressure and highest wind speed. The best 24 h-forecast ANN-SFM is determined with 160 units and the input parameters of surge level, sea level pressure, the depression rate of sea level pressure, longitude and latitude. The proposed method of the selection procedure is able to be adaptable to other coastal locations for the development of the artificial neural network-based storm surge forecast model as establishing the superiority of the most relevant set combining unit numbers and input parameters.     

青岛地铁工程爆破振动效应分析

本文根据大量现场观测资料研究了青岛地铁施工爆破引起的地面振动效应,分析了炸药类型,药量,爆心距,施工爆破方法以及地质条件等因素对爆破振动效应的影响,总结了青岛地铁施工爆破所引起的地面振动强度的一般规律,为施工中的爆破优化设计和爆破振动控制提供了依据。     

香蒲、灯心草人工湿地的研究——Ⅰ.净化污水的效果

本文研究了种植香蒲Ｔｙｐｈａ ａｎｇｕｓｔｉｆｏｌｉａ或灯心草Ｊｕｎｃｕｓ ｅｆｆｕｓｕｓ的人工湿地对城镇污水和人工不污染物的净化效果,调查了香蒲,灯心草不同季节的生长差异及高浓度污水冲击负荷对其生长的影响。香蒲,灯心草人工湿地净化城镇污水,出水水质总体上达到国家Ⅱ,Ⅲ类地面水标准,灯心草湿地对人工污水中凯氏氮,总磷,化学耗氧量地去除率维持在９４％以上,氨氮的去除率为８２．７％－９９．７％;在正常     

模拟暴雨条件下农田磷素迁移特征

开展三次重复人工暴雨试验,研究太湖流域平原河网区农田磷素在暴雨径流过程中的迁移输出特征,结果表明,地表径流是暴雨径流过程农田磷素迁移的主要途径,地表径流水相和侵蚀相磷素迁移量分别占总磷输出量的58.50%和34.69%;随壤中水流输移的磷素仅占总磷输出量的6.81%,磷素迁移以颗粒态为主,约占总磷输出量的60.73%,溶解态磷素以无机磷酸盐输出为主,溶解态磷素更易于在土壤中运动,地表径流与壤中流磷素输出特征对比分析显示,土壤对磷素具有较强的滤减作用,尤其对总颗粒态附着磷浓度的消减效果明显,可达80%以上,尽管暴雨径流过程中磷素迁移以地表径流为主,然而在降雨丰富的太湖地区,一般降雨条件下壤中流是产流的主要形式,同时壤中流溶解态磷流失占有较大的比例,对区域水环境恶化具有重要贡献,因此加强壤中流溶解态磷素输移和控制研究具有重要意义.