海洋产业影响省域经济增长估计及其分异动因判识

采用静态和动态计量方法分析2006~2015年海洋经济对沿海省（市、区）经济发展的影响程度并通过空间计量方法识别差异动因。研究发现：① 海洋经济对中国省域经济发展具有显著地影响,其中天津、上海、福建、山东、广东、海南海洋经济总量贡献率高于全国平均水平;② 省域海洋产业对区域经济影响度分异呈现省际绝对差异不断扩大、相对差异不断缩小,且具有显著的空间相关性;③ 引起省域经济增长差异的海洋经济相关因素中,海洋第二产业、海洋进出口贸易额等起到正向促进作用（即拉大差异）,且海洋第二产业结构具有显著的溢出效应。相关发现有助于中国沿海省（市、区）经济的协调发展和科学决策。     

常量元素记录的毛乌素沙地东南缘全新世气候变化

毛乌素沙地处于中国季风边缘的半干旱区,对气候变化响应敏感,是研究过去全球气候变化的理想场所。对沙地东南缘锦界剖面全新统砂质黄土-古风成砂-古土壤互层沉积序列进行研究,在OSL测年基础上,通过沉积物常量元素氧化物含量及其比值分析,结合粒度、磁化率特征,探讨了毛乌素沙地东南缘7.9ka BP以来气候变化。结果表明：（1）地层常量元素氧化物以SiO₂和Al₂O₃为主,其他元素含量依次为Na₂O、K₂O、Fe₂O₃、CaO、MgO。各种元素活动性不同,K、Na活动性较强,易淋失;Si活动性较稳定,风成砂中易富集;Ca、Mg、Al、Fe活动性较弱,古土壤中富集。（2）7.9ka BP以来气候变化分为6个阶段。7.9～7.3 ka最温暖湿润时段;7.3～6.8 ka,气候转冷干;6.8～4.3 ka,整体上温暖湿润,期间存在2次由暖湿变冷干的波动,并出现过6次风沙活动,即6.6～6.3、6.1、5.9、5.7～5.5、5.3～5.0、4.7～4.4 ka;4.3～2.5ka BP,气候转冷干;2.5～1.8ka BP出现过短暂湿润期,但暖湿程度不及全新世中期;1.8ka BP以来气候渐趋干旱并接近现代气候。（3）全新世气候变化与毗邻的萨拉乌苏河流域、浑善达克沙地等记录的气候变化具有很好的一致性,这是通过东亚冬夏季风强弱消长变化对全球变化的区域响应。     

Local meteorology in a northern Himalayan valley near Mount Everest and its response to seasonal transitions

An automatic weather station(AWS) has been installed at the Qomolangma Station of the China Academy of Sciences(QOMS) since 2005, in a northern Himalayan valley near Mount Everest, with an altitude of 4,270 m a.s.l.. Nine years of meteorological records(2006–2014) from the automatic weather station(AWS) were analyzed in this study, aiming to understand the response of local weather to the seasonal transition on the northern slopes of Mount Everest, with consideration of the movement of the subtropical jet(STJ) and the onset of the Indian Summer Monsoon(ISM). We found:(1) Both the synoptic circulation and the orography have a profound influence on the local weather, especially the local circulation.(2) Southwesterly(SW) and southeasterly(SE) winds prevail alternately at QOMS in the afternoon through the year. The SW wind was driven by the STJ during the non-monsoon months, while the SE was induced by the trans-Himalayan flow through the Arun Valley, a major valley to the east of Mount Everest, under a background of weak westerly winds aloft.(3) The response of air temperature(T) and specific humidity(q) to the monsoon onset is not as marked as that of the nearsurface winds. The q increases gradually and reaches a maximum in July when the rainy period begins.(4) The alternation between the SW wind at QOMS and the afternoon SE wind in the pre-monsoon season signals the northward shift of the STJ and imminent monsoon onset. The average interval between these two events is 14 days.     

建筑物高度对地闪回击电磁场影响的模拟

基于三维时域有限差分数值算法（3D-FDTD）建立了雷击高建筑物电磁场传播模型,研究了负地闪击中不同高度建筑物时回击垂直电场、角向磁场以及水平电场沿地表的传播规律。模拟结果表明:建筑物的高度对雷电电场峰值的影响显著,如当建筑物高度从100 m增加至600 m时,在距离d=100 m位置的垂直电场峰值减小了63%,水平电场正极性峰值的增加比例为84%、负极性峰值的绝对值增加比例高达130%;观测位置不变时,角向磁场峰值和水平电场正极性峰值均会随着建筑物高度的增加而增大;对于距离d=100 m,300 m时,垂直电场的峰值随着建筑物高度的增加而减小,而d=500 m时,垂直电场峰值随着建筑物高度的增加呈现出先增大后减小的趋势;此外,建筑物高度会影响垂直电场峰值对距离的敏感程度,建筑物越低（高）,相应的垂直电场峰值随着观测距离增大衰减越快（慢）。该文研究结果能够为现代化城市中高建筑物附近线缆、室外设备等的雷电防护方案设计提供参考。     

几种雷电灾害风险评估计算方法应用对比分析

雷电灾害风险评估中,雷击风险的计算方法有人工计算、Excel表格计算和软件计算3种。选取石嘴山一油库为案例,依据风险管理标准(GB/T 21714.2 -2015),分别采用人工、Excel和软件方法,计算该油库雷电风险总量和风险分量。计算结果显示,软件计算风险总值相对人工计算值总是偏高,特别是对于易燃易爆场所,比人工计算、Excel计算值高20~30倍;人工方法、Excel方法风险总值计算结果较为一致。造成差别的原因是,人工计算主观性大,不同的评估人员在风险分量的选取及计算过程中会出现较大的差别,容易忽略部分风险分量,从而造成风险总量的减少。在风险分量的组成上,对第三类防雷建筑物,人工计算结果更符合实际;对第一、二类防雷建筑物,软件计算结果更符合实际。     

Variability and trends in daily precipitation extremes on the northern and southern slopes of the central Himalaya

This study focuses on the precipitation extremes recorded on the northern and southern slopes of the central Himalaya, especially those documented at higher altitudes. Daily precipitation data recorded over a 35-year period at nine meteorological stations in the region were studied. We used the precipitation extreme indices delineated by the Expert Team on Climate Change Detection and Indices (ETCCDI). The spatial and temporal variations in these precipitation extremes were calculated. When regional patterns were investigated to detect any anomalies, only 1 of the 10 precipitation extreme indices from the southern slopes of the central Himalaya showed a statistically significant trend; none from the northern slopes of the central Himalaya highlighted a statistically significant trend. On the southern slopes, all indices increased, apart from the maximum 1-day precipitation (RX1) and simple daily precipitation intensity (SDII) indices. Indices such as the consecutive dry days (CDDs) and RX1 indices exhibited similar increases on both the northern and southern slopes of the central Himalaya. These results suggest that increases in precipitation have been accompanied by an increasing frequency of extremes over the southern central Himalaya. Nonetheless, no relation could be established between the precipitation extreme indices and circulation indices for higher altitudes.

     

适用于GRAPES模式C-P边界层方案的设计和实现

基于K廓线闭合方案,通过考虑不稳定边界层和稳定边界层中热量交换系数在半层上求取及下边界条件的设置,将温湿倾向在整层上直接计算,设计了Charney-Phillips跳点（简称C-P跳点）的边界层方案,使之与GRAPES全球模式的C-P跳点相协调,解决了Lorenz跳点物理过程与C-P跳点动力框架耦合时插值造成的不协调问题,同时避免了耦合时反复插值造成的误差,提高了边界层物理过程参数化方案及其反馈的准确性和合理性。试验表明:C-P跳点边界层方案因为避免了温度和湿度在垂直方向上的插值,消除了温湿变量在垂直方向上的锯齿状抖动,使温湿廓线分布更合理,减小了模式预报误差,形势场的预报效果也得到一定改善。C-P边界层方案的应用提升了GRAPES全球模式的总体预报性能。     

阿克苏初秋一次暴雨过程诊断分析

本文利用常规地面与高空观测资料、自动站逐时资料、NECP1°×1°再分析资料,对阿克苏地区2015年9月7日局地暴雨进行分析。结果表明,造成此次暴雨的主要原因有(1)中尺度分析暴雨发生前阿克苏处于高能高湿不稳定区域;(2)08时至20时探空图中湿层、风向以及不稳定能量的突变预示了强对流天气的发生;(3)暴雨过程的大部分水汽是通过低层偏东气流输送,水汽的来源主要为孟加拉湾,其次北疆短波槽及蒙古槽也提供了少量水汽(4)锋区加强、垂直风切变增大、水平风速辐合提供了热力及动力条件,垂直速度伸展高度影响了对流云厚度及高度。(5)地面风速辐合触发对流,加之较好的地面热力条件以及一定的地形增益暴雨强度。(6)地面辐合线及偏东风输送位置影响暴雨落区。     

黄土高原一次γ中尺度致洪大暴雨环境场特征分析

为了提高对黄土高原γ中尺度致洪暴雨预报和预警能力,利用NCEP 1°×1°逐6 h再分析资料、常规观测资料、多普勒天气雷达资料等,对2015年7月18日黄土高原发生的一次γ中尺度致洪暴雨进行了诊断分析。结果表明:700~200 h Pa深厚低涡和低层切变是这次暴雨的主要影响系统;暴雨发生前暴雨区大气层结对流不稳定增强和对流有效位能的增长为强天气的发生提供了有利条件;暴雨发生前地面图上生成的湿焓高能中心、850 h Pa和700 h Pa等压面上生成的对流涡度矢量垂直分量高值中心和暴雨落区形成很好的对应关系;线状中尺度对流系统中β中尺度对流云团的发展加强对强降水有直接影响;线状中尺度对流系统在雷达回波图上体现为多个对流单体组成的带状回波,影响暴雨区的对流单体回波中心强度50 d BZ,径向速度场分析表明γ中尺度气旋性辐合的生成和维持为暴雨的持续提供了动力条件。     

Identification of the optimal integration of the hydrologic model with meteorology data using the advanced GIS object-oriented programming

An object-oriented framework called GIS and Hydrologic Information System Modeling Object (GHISMO) that is tightly coupled with a prototype geographic information system (GIS), is presented in this research. The proposed GHISMO framework is used to simulate a hydrologic system on the base of the storage-release concept and with multiple weather data such as gage and NEXRAD data. Both quantitative and qualitative results of simulation for the Pleasant Run Creek and Little Buck Creek watersheds in Indiana (USA) demonstrate the method prospects.