架空管道震害预测实用方法的研究

根据震害调查分析和试验研究结果,建立了由环境因素和管道结构参数组成的,对架空管道震害预测进行二级多因素模糊综合评判的方法。文中给出了计算、评价构成二级评判因素地震烈度、场地类型、工作状态和结构种类各档次正态模糊数范数ａｋ的参数和对实际情况如何确定的方法。本文为面广量大的已建架空管道的震害预测工作提供了一套科学性强,方便实用的计算方法。     

浅谈超低频电磁波异常与相关地震

介绍了锦州东港电力有限公司地震台多年来应用超低频电磁信息探索地震前兆所总结出的异常形态分别与远震、近震、地方震的对应实例,揭示了ＵＬＦ电磁波异常与将要发生地震映震的一些初步规律,说明了电磁波是地震短临预报的好方法。     

The hybrid model of empirical wavelet transform and relevance vector regression for monthly wind speed prediction

ABSTRACT

In order to improve the prediction ability for the monthly wind speed of RVR, the hybrid model of empirical wavelet transform and relevance vector regression (EWT-RVR) is proposed for monthly wind speed prediction in this study. Compared with empirical mode decomposition (EMD), empirical wavelet transform (EWT) can obtain a more consistent decomposition and have a mathematical theory. In order to testify the superiority of EWT-RVR, several traditional RVR models are used to compare with the proposed EWT-RVR method under the situation of the same embedding dimensions. The experimental results show that the proposed EWT-RVR method has a better prediction ability for monthly wind speed than RVR. It can be concluded that the proposed EWT-RVR method for monthly wind speed is effective.     

吐鲁番地区粮食生产发展问题初探

吐鲁番盆地的特殊气候条件，为经济作提供了良好的生长环境，而粮食生产受气候条件和经济作物快速增长的双重制约，发展非常困难，本文分析了吐鲁番地区粮食生产增长态热及制约因素，并应用多种模型对未来粮食变化趋势作了定量和定性的，在此基础上提出了相应的对策。     

Predicting mass rapid transit noise levels on an elevated station

This study developed a noise prediction model for elevated mass rapid transit (MRT) platforms. Relevant physical and operational parameters (e.g. cruise speed, acceleration and deceleration rates for trains, building fa?ade setbacks and so on) were collected from the Bangkok mass transit system (BTS), the first elevated MRT system operated in Bangkok, Thailand. The equivalent continuous sound pressure levels (L(Aeq)) were collected from both sides of the MRT stations at the center of each platform. The relevant parameters were collected on both platforms and ground level, on both sides of MRT stations. These parameters were statistically tested to determine their correlation with MRT noise. The final model was built from highly correlated parameters using multiple regression analysis with a stepwise regression technique. Statistical evaluation showed a high degree of goodness-of-fit test for the model to the observed data. Therefore, it can be efficiently used for the projection of MRT noise in the affected areas.     

江苏地区地下水位固体潮加卸载响应比的时空演变特征及预测意义

根据加卸载响应比理论,通过对1991～1996年江苏省部分井孔观测资料固体潮加卸载响应比的计算发现,在中强地震前一年左右的时间震中区附近的井孔出现了响应比高值异常。通过空间图像扫描可以看出:在苍山地震前一年左右,徐州、宿迁地区出现了加卸载响应比的高值集中区;在南黄海地震前一年左右,在镇江、苏州地区出现了高值集中区,之后高值集中区有自西向东迁移即有向震中区迁移的迹象。     

Conservation strategies for effective land management of protected areas using an erosion prediction information system (EPIS)

This research demonstrates the predictive modeling capabilities of a geographic information system (GIS)-based soil erosion potential model to assess the effects of implementing land use change within a tropical watershed. The Revised Universal Soil Loss Equation (RUSLE) was integrated with a GIS to produce an Erosion Prediction Information System (EPIS) and modified to reflect conditions found in the mountainous tropics. Research was conducted in the Zenzontia subcatchment of the Río Ayuquíla, located within the Sierra de Manantlán Biosphere Reserve (SMBR), México. Expanding agricultural activities within this area will accentuate the already high rate of soil erosion and resultant sediment loading occurring in the Río Ayuquíla. Two land-use change scenarios are modeled with the EPIS: (1) implementation of soil conservation practices in erosion prone locations; and (2) selection of sites for agricultural expansion which minimize potential soil loss. Confronted with limited financial resources and the necessity for expedient action, managers of the SMBR can draw upon the predictive capacity of the EPIS to facilitate rapid and informed land-use planning decisions.     

人工神经网络方法在资源与环境预测方面的应用

用人工神经网络方法对不同水域、不同环境因子之间非线性和不确定性的复杂关系进行学习训练并预测检验。结果表明：人工神经网络方法在模拟和预测方面 优于传统的统计回归模型,在资源与环境方面的应用是可行的。具有较强的模拟预测能力。与传统的回归模型相比,人工神经网络方法不要求监测数据具有很强的规律性,就可用后的网络模型对其进行预报,燕且预测相对误差均比回归模型预测相对误差要小,具有一定的实用性。两个实例的应用     

贵港市土地利用动态变化分析及用地预测

以城市为中心的区域土地是土地资源中资产效益最高的一部分，是人类利用土地影响最为深刻的土地类型。在分析土地利用现状变更调查数据的基础上，应用各类土地利用动态变化模型对贵港市的土地利用动态变化进行分析，并运用灰色系统预测模型对该区域各地类的土地利用时空演变进行了预测，最后提出相应的优化土地利用结构的建议。