天津市煤气管网的震害预测及可靠性分析

本文研究了地下管道系统的震害预测及网络系统可靠性分析的方法。它是以地下管道微观破坏机制为根据,以模糊图论为主要计算工具的计算方法。最后,本文给出了天津市煤气管网系统的应用实例,结果表明,本方法有一定的推广应用价值。     

Application of ecological theory to determining recovery potential of disturbed lotic ecosystems: Research needs and priorities

This article summarizes the views of aquatic scientists who gathered to assess the ability of stream ecosystem theory to predict recovery from disturbance. Two views of disturbance were evident: a discrete removal of organisms vs an unusual deviation from normal. These were perceived as applying to different scales and/or objectives. Long-term information is required from both points of view to define recovery. Recovery also may be defined in different ways, but it is clear that recovery has both spatial and temporal components, and includes both physical and biological processes. Consensus was very strong that a major role (and challenge) for theory lies in the understanding of spatial aspects, temporal scales, coupling of physics and biology, and the interaction of these features in recovery processes. Some progress is evident in the articles of this volume, but among the topics identified as critical for further theoretical contributions were: homogeneous vs heterogeneous distribution of disturbance, local extent of disturbance relative to a regional context, critical vs noncritical patches (size and location) of disturbance at different spatial scales and temporal frequencies, delineation of reversible and nonreversible processes, and physical and biological constraints on the time frame for recovery. Such concepts need attention across different types of lotic ecosystems. Thus, there was strong consensus that a national monitoring system of representative lotic ecosystems within ecological regions be established. The purpose of this monitoring system would be to acquire long-term data on natural variability, to establish viable indicators of spatial and temporal aspects of recovery, and to develop and test emerging theoretical developments.     

林火行为预测预报专家系统

在针对我国大兴安岭林区典型可燃物进行实验的基础上,参考美国北方林火实验室编制的BEHAVE程序中的数学模型,提出了一整套估算森林地表火火行为特征量的表达式。在此基础上,通过交互式窗口技术、字符型汉字技术和专家系统原理,建立了“林火行为预测预报专家系统”。该系统在输入现场可燃物分布特性参数及相应的地形条件和气象条件后,即能迅速预测火蔓延过程中不同时间段的火行为特征量的值。与野外试验的结果对比表明,预测的结果是合理、可靠的。     

1983年日本海中部大震前无震应变前兆的倍九天活动特征

介绍了倍九律的科学内函以及在地震预报实际应用中的几个主要方面；进而对１９８３年５月２６日日本海中部Ｍｓ＝７．７级大震前的无震应变前兆的倍九天特征进行了分析，同时探讨了倍九律在日本海地区预报强余震的可参考性。     

交通事故预测分析

运用模糊图、灰色系统、非线性回归、随机过程和安全系统工程的理论与方法，进行交通事故预测分析。给出了交通事故预测分析的双向模糊图模型、灰色马尔可夫预测模型及非线性回归模型。模型运行结果可为交通事故的预防和交通安全管理提供科学依据     

An online air pollution forecasting system using neural networks

In this work, an online air pollution forecasting system for Greater Istanbul Area is developed. The system predicts three air pollution indicator (SO(2), PM(10) and CO) levels for the next three days (+1, +2, and +3 days) using neural networks. AirPolTool, a user-friendly website (http://airpol.fatih.edu.tr), publishes +1, +2, and +3 days predictions of air pollutants updated twice a day. Experiments presented in this paper show that quite accurate predictions of air pollutant indicator levels are possible with a simple neural network. It is shown that further optimizations of the model can be achieved using different input parameters and different experimental setups. Firstly, +1, +2, and +3 days' pollution levels are predicted independently using same training data, then +2 and +3 days are predicted cumulatively using previously days predicted values. Better prediction results are obtained in the cumulative method. Secondly, the size of training data base used in the model is optimized. The best modeling performance with minimum error rate is achieved using 3-15 past days in the training data set. Finally, the effect of the day of week as an input parameter is investigated. Better forecasts with higher accuracy are observed using the day of week as an input parameter.     

水中硫化氢的溶解规律

对气体在水中的溶解机制进行了分析，并结合实验数据导出了硫化氢在水中溶解度的预测公式，该预测公式准确度较高，其平均绝对误差及平均相对误差分别为０．０２６ｇ／Ｌ和０．０６２％．     

城市固体废物的灰色预测与评价

对城市固体废物中长期预测，由于影响因素较复杂，采用常规回归分析模型预测，一般精度较低，且要求数据充分。采用灰色预测模型，以杭州市固体放心物历年实际数据进行拟合性预测。结果表明，该模型对城市固体废物作中长期预测，其预测的准确率可达９３－９９％之间，能较好满足环境规划预测的需要。     

瑞利波预测煤与瓦斯突出

瑞利波勘探是近年来发展起来的一种新型的岩土原位测试勘探方法。笔者重点对瞬态瑞利波相速度的算法进行了研究。提出了对信号进行预先调制 ,随后再对所求得的相位进行修正的方法 ;另为还须考虑其仪器采集信号时的时间差影响。根据以上算法求得的相速度更接近瑞利波真速度 ,从而提高了相速度的分辨率和精确度。把瞬态瑞利波勘探法运用在矿山生产中 ,利用平面瑞利波的频散特性 ,根据瑞利波的传播速度与煤岩的物理力学性质具有相关性 ,提出了一种新型的预测煤与瓦斯突出的方法。为矿井安全生产预测预报瓦斯突出提供了一种新的手段 ,同时对突出煤层掘进前方突出危险区和安全距离的分析判断提供了一种新的方法     

基于灰色GM(1,1)模型的铁岭市工业废水排放量预测

建立铁岭市工业废水排放量预测模型,预测2010～2015年铁岭市工业废水排放量.根据工业废水排放量数据序列特征,将灰色系统理论GM(1 ,1) 模型的建模方法用于构建铁岭市工业废水排放量预测模型,并用GM(1 ,1)残差模型对模型进行修正.利用1999～2007年铁岭市工业废水排放量原始数据与预测数据比较分析,误差较小...