利用雷电定位系统进行电网雷击故障快速查询

At present, lightning is one of the 10 natural disasters, and it is also the top environmental factor of power interruption. It often causes huge losses to the electric system. The Wuhan High Voltage Institute of the State Grid Corporation of China and Huazhong University of Science and Technology have been researching and developing lightning location systems （LLSs） since the late 1980s. In the mid-1990s, a lightning detection network was created in 29 provinces and cities in China. It is primarily applied to rapidly find lightning accidents, which greatly reduces power interruption. Also, it ensures high efficiency and safe operation of the electricity system. Remarkable benefit is achieved. China＇s LLS went through an ＂orientation positioning - time difference positioning - integrated positioning＂ development process. The positioning precision, detection efficiency, degree of automation, practicability and applied range are improved. Also, a lightning information system plan of the national network has been implemented, which services the whole society.     

加勒比板块多学科研究综述及其对地震预测的启示

2010年1月12日海地M_W7.0地震打破了Enriquillo断层近240余年的地震平静期, 可能意味着加勒比地区新的活跃周期的到来。 本文通过收集该地区地质构造演化、 地球物理场、 发震构造、 震源物理、 运动学特征及应力场演化等方面的研究成果, 分析由于海地地震的发生所带来的区域地震危险性等相关认识的改变。 通过对多学科资料的梳理, 分析利用多学科研究成果开展加勒比地区地震危险性分析的基本思路, 以期为未来的中国大陆区域动力学模型构建、 地震预测预报研究提供基础参考。     

全球大震和中国及邻区中强震地震活动（2006年2-3月）

本目录中的地震参数来自"中国地震台站观测报告"(简称"月报").其中,国内及邻区给出M≥4.7的事件,全球给出M≥6的事件."月报"由中国地震台网中心按月做出.     

螺旋藻多糖对给予环磷酰胺BALB/C小鼠的保护作用研究

研究了螺旋藻多糖（ＰＳ）对环磷酰胺（ＣＹ）引起的ＢＡＬＢ／Ｃ小鼠造血功能等损伤的保护作用。当给小鼠ＣＹ时能同时给予ＰＳ时，就能大大减轻因给予ＣＹ经起的造血功能障碍；能明显减缓动物因使用ＣＹ的致的体重下降以及能明显减低因ＣＹ作用的死亡率，提示使用ＰＳ对预防或减轻化疗制剂的危害是具有明显作用的。为临床化疗、放疗病人使用ＰＳ提供了依据。     

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蒙古国东方省海塔盆地塔南凹陷断裂特征及其油气意义

以三维地震资料解释为基础,通过编制相关构造图件揭示了海塔盆地塔南凹陷的断裂构造特征和构造演化过程,分析了构造活动对沉积作用的控制以及对烃源岩发育、圈闭形成和油气运移聚集条件的影响。塔南凹陷白垩纪经历了叠合断陷期(铜钵庙组—南屯组沉积时期）、叠合断拗期(大磨拐河组沉积时期）和反转拗陷期(伊敏组—青元岗组沉积时期）共3期演化,发育伸展和走滑—伸展两套断裂系统。受断裂活动影响,不同时期各次凹的沉降中心发生了明显的分异与迁移。断陷期沉降中心沿断陷边界断层上盘分布,断拗期沉降中心向凹陷中心迁移。断陷期结构样式及主干断裂活动强度控制着沉积相的分布,也影响油气成藏。     

康滇地轴花岗岩类铀钍丰度特征及找铀前景初析

本文应用γ能谱资料，系统阐述了康滇地轴花岗岩类的铀钍丰度特征，总结了康滇地轴现有花岗岩型铀矿化的基本特点。在与华南产铀花岗岩类特征对比的基础上，对康滇地轴花岗岩类的找铀前景作了初步的分析探讨。     

渤海盆地现代构造应力场与强震活动

渤海位于北华北新生代裂陷盆地的东部,是一个晚第四纪形成的内陆海盆. 渤海盆地活动断裂发育,地震活动强烈,交会于渤海中部的NE向营口——潍坊断裂带北段、庙西北——黄河口——临邑断裂带及NW向北京——蓬莱断裂带是主要的活动构造带,将海区分成4个次级新构造区,成为现代应力场作用的构造基础. 综合研究38个震源机制解和75个井区应力场等资料,以及构造应力场二维数值模拟计算结果表明,渤海及其邻区现代构造应力场的压应力方向为NE60～90,张应力为SN——NW30;以水平和近水平应力作用为主;不同构造区主应力方向存在一定的差异. 现今渤海地区地壳发育以NNE——NE和NW——WNW走向的共轭剪切破裂为特征,是控制地震活动的主要构造.     

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

Blasting is well-known as an effective method for fragmenting or moving rock in open-pit mines. To evaluate the quality of blasting, the size of rock distribution is used as a critical criterion in blasting operations. A high percentage of oversized rocks generated by blasting operations can lead to economic and environmental damage. Therefore, this study proposed four novel intelligent models to predict the size of rock distribution in mine blasting in order to optimize blasting parameters, as well as the efficiency of blasting operation in open mines. Accordingly, a nature-inspired algorithm (i.e., firefly algorithm – FFA) and different machine learning algorithms (i.e., gradient boosting machine (GBM), support vector machine (SVM), Gaussian process (GP), and artificial neural network (ANN)) were combined for this aim, abbreviated as FFA-GBM, FFA-SVM, FFA-GP, and FFA-ANN, respectively. Subsequently, predicted results from the abovementioned models were compared with each other using three statistical indicators (e.g., mean absolute error, root-mean-squared error, and correlation coefficient) and color intensity method. For developing and simulating the size of rock in blasting operations, 136 blasting events with their images were collected and analyzed by the Split-Desktop software. In which, 111 events were randomly selected for the development and optimization of the models. Subsequently, the remaining 25 blasting events were applied to confirm the accuracy of the proposed models. Herein, blast design parameters were regarded as input variables to predict the size of rock in blasting operations. Finally, the obtained results revealed that the FFA is a robust optimization algorithm for estimating rock fragmentation in bench blasting. Among the models developed in this study, FFA-GBM provided the highest accuracy in predicting the size of fragmented rocks. The other techniques (i.e., FFA-SVM, FFA-GP, and FFA-ANN) yielded lower computational stability and efficiency. Hence, the FFA-GBM model can be used as a powerful and precise soft computing tool that can be applied to practical engineering cases aiming to improve the quality of blasting and rock fragmentation.     

Efficient estimation of flood forecast prediction intervals via single‐ and multi‐objective versions of the LUBE method

Prediction intervals (PIs) are commonly used to quantify the accuracy and precision of a forecast. However, traditional ways to construct PIs typically require strong assumptions about data distribution and involve a large computational burden. Here, we improve upon the recent proposed Lower Upper Bound Estimation method and extend it to a multi‐objective framework. The proposed methods are demonstrated using a real‐world flood forecasting case study for the upper Yangtze River Watershed. Results indicate that the proposed methods are able to efficiently construct appropriate PIs, while outperforming other methods including the widely used Generalized Likelihood Uncertainty Estimation approach. Copyright © 2016 John Wiley & Sons, Ltd.