风电机组与民爆危险品建筑物间安全防护距离的研究与选定

针对风电机组选址与民爆企业安全管理的突出矛盾,研究分析了风电机组和民爆危险品建筑物间安全距离设定的原则和方法,深入剖析了重大危险影响因素,并结合现行标准规范和国外相关规定及经验做法,估算了安全距离值,探讨了安全距离设定的可能性、合理性和适应性,提出了安全距离设定的建议和参照依据。     

ANALYSIS OF WIND- AND SHIP-INDUCED SEDIMENT RESUSPENSION IN DULUTH-SUPERIOR HARBOR1

ABSTRACT: Suspended solids and ammonium concentration profiles measured at five locations in Duluth-Superior Harbor during July-October 1985 were analyzed to quantify wind and ship effects on sediment resuspension and resulting harbor water quality. Wind components from the SE quadrant correlated strongly with depth-averaged suspended solids concentrations that were unaffected by ship passage or thermal stratification. Winds from that quadrant have the largest fetch in the harbor. The highest correlation (r²= 0.93) was with the 6-hour average of the ESE wind velocity component. Multiple linear regression analysis of data from post-ship passage concentration profiles yielded numerical estimates of settling velocities of 0.08 to 0.25 cm s^?1, typical of ship-resuspended sediments, and vertical eddy diffusivities of 4 to 13 cm² s¹. The results suggest that ambient vertical eddy diffusivities in the harbor are less than 4 cm² s^?1 in the absence of ship passages and with winds less than 5 m s^?1 (10 knots).     

REGIONAL FLOOD EQUATIONS FOR THE PROVINCES OF ONTARIO AND QUEBEC1

ABSTRACT: When nonparametric frequency analysis was performed on 183 stations from Ontario and Quebec, unimodal and multimodal maximum annual flood density functions were discovered. In order to determine generating mechanisms, a monthly partitioning of the annual maximum floods was undertaken. The timing of the floods revealed that the unimodal distributions reflected a single flood generating mechanism while the multi-modal densities reflected two or more mechanisms. Based on the division of the flood series by mechanisms, nine homogeneous regions were delineated. L-moment distributional homogeneity tests along with smaller standard errors for the regional equations supported the delineation.     

MODELS FOR WATER AND POWER SCHEDULING FOR THE CALIFORNIA STATE WATER PROJECT1

ABSTRACT: A large-scale simulation/optimization model provides schedules for operation of water and power for the California State Water Project (SWP). The SWP consists of a series of reservoirs linked by rivers, pumping plants, canals, tunnels, and generating plants and is operated by the California Department of Water Resources. The Department provides water to municipal and agricultural users, and manages its electrical loads and resources. The model, therefore, performs hydraulic and electrical computations leading to optimal operation of the entire system. It consists of hydraulic network programming components to meet the storage objectives at all the reservoirs, a linear programming component to determine the schedules at pumping and generating plants, an electrical network programming component to balance electrical loads and resources, and a number of other simulation components. It operates on yearly, weekly, and daily bases. It is primarily used for real-time operation of the SWP and can provide hourly detail schedules which are implemented by the SWP staff via a computerized system.     

“一一·二四”海难渤海风场的数值模拟

用中尺度数值模式 ＭＭ５对 １９９９年 １１月 ２４日烟台附近发生重大海难事故的渤海风场进行了数值模 拟，探讨了该次冷锋大风的风场特征和影响机制．结果表明：用９０ｋｍ的粗网格可以成功地模拟地面冷高压 与锋面的发展和移动，以及高空环流形势的演变．而通过３０ｋｍ细网格的模拟发现，在冷锋后的行星边界层 中．存在着一条宽度为 ２００ ｋｉｎ的中尺度强风带，最大风速位于 ９２５ｈＰａ，它与高空的极锋急流并不相连；细 网格还模拟出了渤海中尺度低压的发展过程，它使近地面层大风的强度显著加强．模拟还表明，海陆差异对 近地面的风场分布有重要的影响，强风带移入渤海后，在渤海海域形成一个 ２００—３００ ｋｍ的中尺度强风 区．因此，采用具有较高分辨率的中尺度数值模式，对提高渤海大风的预报水平，避兔海难事故的发生更具 有重要意义．     

涉及电动振动台选型的结构与技术的评价和分析

通过振动台系统组成部分（振动台体，磁场电源和功率放大器）涉及的结构与技术的分析，对振动台系统技术指标的先进性，结构设计的合理性及振动台用于振动试验的准确性和安全性的评价提供依据，可供选择振动台系统参考。     

中国东南沿海重点城市台风危险性分析

中国东南沿海地区是中国经济最发达，人口最稠密的地区，同时也是世界上受台风影响最严重的地区之一。本文以上海经9个沿海重点为例，通过对《台风年鉴》数据的分析处理，提取了台风关键参数并进行了统计分析与建模；利用Monte Carlo抽样和成熟台风风场模型模拟，得到了极值风速序列，对年极值风速序列进行极值风速统计分析，得到了不同重现期和地貌的极值风速，结果与实测风速比较吻合。     

A convective wind resource model for Solar Vortex power generation

ABSTRACT

Climate change has increased the need for clean, nonpolluting energy sources to decrease dependence on fossil fuels. Alternative energy sources, mainly solar and horizontal wind, have been the primary focus for producing clean energy. New technologies are being developed, such as the Solar Vortex (SoV), which was developed at the Georgia Institute of Technology, and relies on a vertical wind resource to generate power. The National Renewable Energy Lab (NREL) has resource models representing solar and horizontal wind resources across the 48 United States. This research developed a vertical wind resource model that is comparable in resolution to NREL’s solar and horizontal wind resource models and uses the model for estimating power output for the SoV. This model complements NREL’s existing resource models and supports the deployment of an additional clean energy generation technology. The model was applied to Mesa, Arizona to find feasible sites for a small-scale vertical wind farm.     

Short-term wind speed forecasting based on random forest model combining ensemble empirical mode decomposition and improved harmony search algorithm

ABSTRACT

Wind speed forecasting plays an important role in power grid dispatching management. This article proposes a short-term wind speed forecasting method based on random forest model combining ensemble empirical modal decomposition and improved harmony search algorithm. First, the initial wind speed data set is decomposed into several ensemble empirical mode functions by EEMD, then feature extraction of each sub-modal IMF is performed using fast Fourier transform to solve the cycle of each sub-modal IMF. Next, combining the high-performance parameter optimization ability of the improved harmony search algorithm, two optimal parameters of random forest model, number of decision trees, and number of split features are determined. Finally, the random forest model is used to forecast the processing results of each submodal IMF. The proposed model is applied to the simulation analysis of historical wind data of Chaoyang District, Liaoning Province from April 27, 2015 to May 22, 2015. To illustrate the suitability and superiority of the EEMD-RF-IHS model, three types of models are used for comparison: single models including ANN, SVM, RF; EMD combination models including EMD-ANN, EMD-SVM, EMD-RF; EEMD combination models including EEMD-ANN, EEMD-SVM, EEMD-RF. The analysis results of evaluation indicators show that the proposed model can effectively forecast short-term wind data with high stability and precision, providing a reference for forecasting application in other industry fields.