PWD22型能见度计的使用与维护

介绍能见度的自动观测技术,并通过介绍PWD22型能见度计,阐述能见度计的原理、种类和安装使用方法以及注意事项。     

风电场风资源测量与计算的精度控制

根据多个复杂地形风电场观测操作实践和大量观测数据的计算分析,提出了对观测数据和计算质量精度控制的主要措施,包括:复杂地形测风站布设的5个原则,仪器的合理选型和设置;对由于测风仪固有的系统误差和缺测数据的插补订正可能引起的计算误差进行了定量估算,通过对大量实测数据的对比计算显示:①目前普遍采用的进口风速计的相对偏差在1.6%～5.25%之间,由此可导致轮毂高度附近的年平均风功率密度误差在5%以上,最大达13.8%;②在季风气候区、复杂地形和风的年变率较大的地区,进行缺测数据插补订正时,应选取同季或同一主导风向的数据作为插补订正的基础数据,否则可能导致其平均风功率密度相对误差达20%～50%.     

Rapid and cyclic aeolian deposition during the Last Glacial in European loess: a high-resolution record from Nussloch, Germany

This paper reports the results of an investigation of the Weichselian Upper Pleniglacial loess sequences of Nussloch (Rhine Valley, Germany) based on stratigraphy, palaeopedology, sedimentology, palynology, malacology and geochemistry (δ¹³C), supported by radiocarbon, TL and OSL dating. Grain-size and magnetic susceptibility records are taken at 5 cm intervals from the Upper Pleniglacial (UPG) loess. The data indicate cyclic variations in loess deposition between ca 34 and 17 ka, when the sedimentation rate is especially high (1.0–1.2 m per ka for more than 10 m). The grain-size index (GSI: ratio of coarse silt versus fine silt and clay) shows variations, which are assumed to be an indirect measurement of wind intensity. The sedimentation rate, interpreted from the profiles, indicates high values in loess (Loess events LE-1 to LE-7) and low or negligible values in tundra gley horizons G1 to G8. OSL ages from the loess and ¹⁴C dates from organic matter in the loess show that loess deposition was rapid but was interrupted by shorter periods of reduced aeolian sedimentation. Comparison between the data from Nussloch and other European sequences demonstrates a progressive coarsening of the loess deposits between ca 30 and 22 ka. This coarsening trend ends with a short but major grain-size decrease and is followed by an increase to a new maximum at 20 ± 2 ka (“W” shape). Correlation between the loess GSI and the Greenland ice-core dust records, suggests a global connection between North Atlantic and Western European global atmospheric circulation and wind regimes. In addition, the typical Upper Pleniglacial loess deposition begins at ca 30–31 ka, close to Heinrich event (HE) 3, and the main period of loess sedimentation at about 25 ± 2 ka is coeval to HE 2. Correlation of magnetic susceptibility and grain-size records shows that the periods, characterised by high GSI, coincide with an increase in the amount of ferromagnetic minerals reworked from the Rhine alluvial plain. They suggest enhancement in the frequency of the storms from N–NW. These results are integrated within a palaeogeographical model of dust transport and deposition in Western Europe for the Weichselian Upper Pleniglacial (or Late Pleniglacial).     

基于地震波速度预测岩体物性参数模型与应用

以地震属性和钻孔测井参数为基础,依据试验数据构建数学模型,实现对煤层顶底板岩石物性参数的定量预测。通过试验拟合出纵横波波速之间关系、波速与密度的关系、动静杨氏模量、动静泊松比之间的关系,且相关程度较高。依据试验模拟结果对淮南刘庄区煤层顶底板岩石物性参数及孔隙度进行了预测。结果表明该地区的物性参数分布规律明显,且与实测结果吻合较好。模型计算与实例应用证实地震信息用于预测岩石力学参数具有可行性。     

Pembrokeshire,South Wales

Unravelling the geology of Pembrokeshire (southwest Wales) has been a rite of passage for British undergraduate students for generations. A favourite destination for an Easter fieldtrip, this complex region contains diverse geology of late Precambrian to Carboniferous age. In the course of a five‐day excursion, a student can uncover evidence for two plate tectonic cycles: the birth of the early Palaeozoic Iapetus Ocean and its death in the Caledonian Orogen, and the reworking of the late Palaeozoic Rheic back‐arc basins on the northern margins of the Variscides. In doing so, there is an opportunity to examine highly variable palaeoenvironments including the deposits of alluvial fans, flood plains, deltas, estuaries, carbonate shelves and deeper marine settings, as well as developing fundamental field skills in geological mapping, structural analysis and sedimentary logging. In this article, I introduce the fascinating story of the geological evolution of Pembrokeshire and describe some of the classic localities useful for basic geological training.     

Preface to the Special Issue on the 14th International Conference on Mesoscale Convective Systems and High-Impact Weather

<正>A mesoscale convective system (MCS) is an organized cluster of thunderstorms known to be the most important convective mode in causing disastrous high-impact weather, such as heavy rainfall, hail, damaging winds, and tornadoes. The small spatial scale and fast temporal evolution of MCSs make their observation and prediction very challenging. East Asia is home to the world’s most prominent monsoon, setting the stage for various severe convective weather events. MCSs and their associated ...     

Snow Depth Inversion Using the Localized HUT Model Based on FY-3B MWRI Data in the Farmland of Heilongjiang Province,China

Snow depth parameter inversion in the farmland using passive microwave remote sensing is of great significance to the agricultural production in Northeast China. Firstly, the Helsinki University of Technology (HUT) snow emission model was validated in the farmland based on microwave radiation imager (MWRI) onboard FengYun-3B satellite (FY-3B). The results showed that there was a big difference between the brightness temperature of HUT model simulation and MWRI for 18.7 GHz horizontal polarization (18.7 H) and 36.5 GHz horizontal polarization (36.5 H). To improve HUT model, the empirical parameter in the model was localized. Then the localized HUT (LHUT) model was built, where the extinction coefficient was calculated by the new extinction coefficient formula. Next, LHUT model was validated based on MWRI data and compared with HUT model. The results showed that LHUT underestimates slightly the brightness temperature with 0.91 and 4.19 K for 18.7 and 36.5 H respectively, and LHUT is superior to HUT model. Finally, the genetic algorithm (GA) was used to invert snow depth based on LHUT. The results showed that snow depth was underestimated with 6.79 cm based on LHUT. The inverted snow depth based on LHUT model is in better agreement with the measured snow depth.     

河南电网输电线路舞动的气象要素指标研究

利用2009—2010年河南省3次输电线路舞动过程的探空站资料和地面气象站观测资料,分析了输电线路舞动的气象要素特征,得出输电线路舞动的气象要素指标:(1)700~850 hPa存在≥0℃的暖层,其下存在0℃的冷层。(2)700 hPa以下空气接近饱和,温度和露点温度的差值≤2℃。(3)地面温度-4~1℃,风速≥3 m·s~(-1),相对湿度≥70%。利用1998年至今的探空数据和地面气象站观测数据,以及2015年11月至今的模式数据,对上述指标进行了检验。最后以2015年11月22—24日河南电网的舞动过程为例,采用上述指标绘制了舞动分布图,发现利用该指标预报的舞动格点涵盖了电网实际监测到的发生舞动的杆塔,该指标具有一定的适用性。     

一种浙江省冻雨落区的推算方法

2008年初浙江省出现全省性的大范围强冻雨天气,在输电线路上形成很厚的覆冰,致使浙江电网遭受巨大的损失。然而,浙江省却仅有三分之一的气象站观测到冻雨,持续时间也很短。本文利用全球再分析资料ERA-Interim结合浙江电网覆冰灾情资料,分析了2008和2013年的两次强冻雨过程。研究表明浙江省强冻雨发生时具备冷暖冷的层结结构,且中间暖层气温0℃,但相比湖南省,浙江省的暖层中心气温稍低,下层冷层厚度略厚,暖层中的液态水进人到下层冷层后易被冻结,落到低海拔地面为冰粒,或者低海拔地面层气温高于0℃,冻雨落到地面为降雨,所以冻雨期间浙江省绝大多数气象站(海拔在200 m以下)观测不到雨凇,观测到的多是冰粒或降雨;而在海拔较高的山区,冷层厚度变薄,液态水被冻结的概率大大降低,而且山区地面气温多低于0℃,有利于冻雨落在山区地面形成雨凇,因此浙江省冻雨多出现在浙中海拔400 m以上和浙南海拔600 m以上的山区。根据浙江省冻雨的特点,采用全球再分析资料进行冻雨落区推算,结果与浙江电网实际的覆冰灾情吻合得较好。本研究利用输电线路覆冰厚度确定冻雨强弱和分布,采用再分析资料推算冻雨落区,为地形起伏度较大的省份开展冻雨研究,进行冻雨监测和预报提供一条新的思路。