变权组合预测模型在大坝安全监测中的应用

简要介绍了组合预测模型的基本原理，该模型改进了单一模型考虑因素的片面性，但常规的组合预测模型的权系数是固定的。考虑到各种模型的预测精度的变化，以及大坝安全监测数据存在的突变、时效等因素，固定权系数的组合预测模型有待进一步改进。文中提出了变权系数组合预测模型，并将其用于实际的大坝安全监测工程。结果表明，变权组合预测模型的预报精度高于其他模型。是一种值得推广的方法。     

防御超强台风的实践与思考

超强台风具有巨大的破坏力,如何防御超强台风并降低其灾害损失是一重大课题。浙江省在防御“桑美”超强台风的实践中认为,要取得防台抗灾的胜利,未雨绸缪、常备不懈是基础,以人为本、有效避险是关键。同时,针对“桑美”登陆后暴露出的各种问题,今后还要从4个方面加强工作,即建立集中与分散相结合的避险体系;加强电力、通信等应急基础保障能力建设;全面建成监测预警体系;加强超强台风研究,进一步完善防台风预案。     

水压作用下房屋地下室底板开裂的结构处理

地下水压力过大引起房屋地下室底板钢筋混凝土开裂,甚至被破坏,文章介绍采用钻孔桩加固技术进行结构处理,并新作防水层防水。     

Fuzzy control of nitrogen removal in predenitrification process using ORP.

In order to meet increasingly stringent discharge standards, new applications and control strategies for the sustainable removal of nitrogen from wastewater have to be implemented. In the past years, numerous studies have been carried out dealing with the application of fuzzy logic to improve the control of the activated sludge process. In this paper, fuzzy control strategies of predenitrification systems are presented that could lead to better effluent quality and, in parallel, to a reduction of chemicals consumption. Extensive experimental investigations on lab scale plant studies have shown that there was excellent correlation between nitrate concentration and ORP value at the end of the anoxic zone. Results indicated that ORP could be used as an on-line fuzzy control parameter of nitrate recirculation and external carbon addition. The optimal value of ORP to control nitrate recirculation and external carbon addition was - 86 +/- 2 mV and - 90 +/- 2 mV, respectively. The results obtained with real wastewater also showed the good performance and stability of the fuzzy controllers independently from external disturbances. The integrated control structure of nitrate recirculation and external carbon addition in the predenitrification system is also presented.     

纳秒级上升时间的高压脉冲群电源

按照IEC 61000-4-4/GB 17626.4—1998的要求，首先应用PSPICE仿真确定电路中各元件的参数值，然后基于拉普拉斯变换用MATLAB求解二阶电路验证各元件参数。在此基础上研制了一台以开关电源作为高压直流电源、以氢闸流管作为主控开关的脉冲群电源。该电源体积小、重量轻、效率高、成本低廉。试验结果表明，其输出信号符合标准要求，可用于快速瞬变脉冲群抗扰度试验。     

龙滩电站大法坪料场爆破施工技术研究

结合龙滩水电站大法坪料场爆破的技术难点,针对不同的岩石和要求,通过对采场的爆破分区,应用车制乳化炸药使料场开挖爆破施工取得成功,爆破料级配良好,满足了供料强度要求。     

灌区参与式管理存在的问题与对策

参与式灌溉管理是我国正在推广应用的灌区管理模式，本文通过对我国目前已实行参与式灌溉管理灌区的运行情况的调查，简单阐述了这种管理模式的绩效，着重分析了管理运行过程中存在的问题，并提出了解决这些问题的措施和建议。     

基于AHP＋熵组合的相对发达地区新乡镇建设评价——以苏南三镇为例

面对新农村建设活跃和城市化进程加速，新乡镇建设也初见端倪，选取苏南三镇作为实证地点，构建相对发达地区新乡镇建设评价体系，利用主观赋权的层次分析法（AHP）和客观赋权的熵权法进行组合评价。     

万安水利枢纽底孔坝段中隔墙流激振动响应分析

 研究了万安水利枢纽底孔坝段中隔墙在水流脉动壁压作用下的结构随机振动问题，进行了一种泄流工况下的隔墙结构流激振动响应统计量的理论计算，模拟计算了隔墙－水流－基础耦合系统固有频率对流激振动响应的影响，并对水流脉动壁压随机荷载作用下的结构动力可靠度进行了理论分析。     

Monthly Streamflow Forecasting Using Convolutional Neural Network

Monthly streamflow forecasting is vital for managing water resources. Recently, numerous studies have explored and evidenced the potential of artificial intelligence (AI) models in hydrological forecasting. In this study, the feasibility of the convolutional neural network (CNN), a deep learning method, is explored for monthly streamflow forecasting. CNN can automatically extract critical features from numerous inputs with its convolution–pooling mechanism, which is a distinct advantage compared with other AI models. Hydrological and large-scale atmospheric circulation variables, including rainfall, streamflow, and atmospheric circulation factors are used to establish models and forecast streamflow for Huanren Reservoir and Xiangjiaba Hydropower Station, China. The artificial neural network (ANN) and extreme learning machine (ELM) with inputs identified based on cross-correlation and mutual information analyses are established for comparative analyses. The performances of these models are assessed with several statistical metrics and graphical evaluation methods. The results show that CNN outperforms ANN and ELM in all statistical measures. Moreover, CNN shows better stability in forecasting accuracy.