Understanding the dynamical-microphysical-electrical processes associated with severe thunderstorms over the Beijing metropolitan region

The Dynamical-microphysical-electrical Processes in Severe Thunderstorms and Lightning Hazards(STORM973)project conducted coordinated comprehensive field observations of thunderstorms in the Beijing metropolitan region(BMR)during the warm season from 2014 to 2018.The aim of the project was to understand how dynamical,microphysical and electrical processes interact in severe thunderstorms in the BMR,and how to assimilate lightning data in numerical weather prediction models to improve severe thunderstorm forecasts.The platforms used in the field campaign included the Beijing Lightning Network(BLNET,consisting of 16 stations),2 X-band dual linear polarimetric Doppler radars,and 4 laser raindrop spectrometers.The collaboration also made use of the China Meteorological Administration’s mesoscale meteorological observation network in the Beijing-Tianjin-Hebei region.Although diverse thunderstorm types were documented,it was found that squall lines and multicell storms were the two major categories of severe thunderstorms with frequent lightning activity and extreme rainfall or unexpected local short-duration heavy rainfall resulting in inundations in the central urban area,influenced by the terrain and environmental conditions.The flash density maximums were found in eastern Changping District,central and eastern Shunyi District,and the central urban area of Beijing,suggesting that the urban heat island effect has a crucial role in the intensification of thunderstorms over Beijing.In addition,the flash rate associated with super thunderstorms can reach hundreds of flashes per minute in the central city regions.The super(5%of the total),strong(35%),and weak(60%)thunderstorms contributed about 37%,56%,and 7%to the total flashes in the BMR,respectively.Owing to the close connection between lightning activity and the thermodynamic and microphysical characteristics of the thunderstorms,the lightning flash rate can be used as an indicator of severe weather events,such as hail and short-duration heavy rainfall.Lightning data can also be assimilated into numerical weather prediction models to help improve the forecasting of severe convection and precipitation at the cloud-resolved scale,through adjusting or correcting the thermodynamic and microphysical parameters of the model.     

天然气水合物生成数值模拟的DAVIE模型和意义

天然气水合物生成数值模拟是以水合物热力学理论为基础,结合计算机方法来模拟水合物在海底环境下生成和分解、分布和富集的热力学、动力学过程。Davie模型是首个能够预测海洋沉积物中天然气水合物体积和分布的定量模型,它系统地模拟了海底天然气水合物的海洋环境和质量平衡,并将其应用到已知水合物分布地区进行对比,取得了很好的效果。     

1949—2009年登陆和影响浙江的热带气旋分析

通过对1949—2009年61年间登陆和影响浙江的热带气旋的时空分布特征、主要影响路径等的分析,发现在7—9月份登陆浙江的热带气旋占登陆总数的92.5%,7—9月份影响浙江的热带气旋占影响总数的82%。影响浙江的热带气旋中登陆福建或在台湾海峡消失的热带气旋占的比重最多。虽然西北太平洋上热带气旋生成个数近年来大幅减少,但登陆浙江的强台风有明显增多的趋势。随着气候的变暖,海水温度的增高,热带气旋生成的时间提早,结束的时间偏迟。另外通过对热带气旋影响时各海岛、沿海和内陆站的大风、暴雨的分析,发现热带气旋影响期间容易引起大风天气的是大陈和嵊山站;容易引起暴雨天气的是温岭、临海和温州站。本文还分析了验潮站最大增水超过1m、2m、3m的时空分布特征。     

1010号台风“莫兰蒂”对福建近海风场的影响及其成因分析

分析福建沿岸区域气象自动站、近海气象浮标站等有关风的精细观测资料以及NCEP再分析、雷达反演风场等资料,研究了2010年第10号台风"莫兰蒂"影响福建期间,福建近海风场分布的特点及其成因,以寻找台风影响时福建近海风场预报的着眼点.结果表明:受到环境场及台湾海峡狭管效应,气流与中央山脉之间绕流、阻挡等共同作用,1010号台风"莫兰蒂"影响福建期间,大风在海区上主要集中分布在台风环流东部和福建北部海区;福建中部沿海最早出现大风;而大部分台风影响时间中,中部沿海风力大于北部、南部沿海风力,呈现中间大两头小的布局.特别是1010号台风"莫兰蒂",进入台湾海峡后发展成微型台风,靠近台风的测站在台风临近时才大风突起.而这种微型台风,大风天气突发性强,在风的精细预报中要特别注意短时临近的监控监测.对比各种资料的应用效果表明:NCEP再分析资料反映的主要是海区的大风分布;雷达反演风场,必须结合实况资料验证,具有一定的参考价值;近海浮标站资料,能较早反映台风影响时风场的演变特点,但近海浮标站所观测的海区风力不一定大于相近的沿岸区域气象自动站所观测的沿海风力,二者所观测到的风力、风向的变化与台风位置密切相关.在业务预报中,对近海浮标站资料的应用,还需深入研究,具体情况具体分析.     

藻类磷酸甘露糖异构酶基因的序列结构特点及系统进化分析

磷酸甘露糖异构酶基因(phosphomannose isomerase,PMI)编码磷酸甘露糖异构酶(PMI),可逆催化甘露糖-6-磷酸和果糖-6-磷酸之间的相互转化,在GDP-D-甘露糖的合成中起重要的作用,后者是生物体合成糖蛋白和糖脂必需的前体物质。本文根据在Genbank中已经登录的部分藻类PMI基因序列,与部分细菌、真菌、植物和动物的PMI基因序列做比较,研究其进化趋势和规律及其基因结构,为以后在大型藻类中研究该基因奠定基础。系统进化分析表明,藻类的PMI基因有2个进化方向,绿藻类的PMI基因与高等植物的进化趋势一致;而杂色藻类(硅藻和褐藻)则单独形成一个进化分支。多序列比对表明,磷酸甘露糖异构酶蛋白有3个保守区,其中有4个氨基酸残基位点是金属离子结合位点,分别为2个Glu和2个His。对部分藻类的PMI基因进行结构分析表明:在比较低等的藻类中,PMI基因没有内含子插入,而较高等的藻类中则有不同数目和长度的内含子插入。对部分藻类PMI基因的生物信息学分析结果显示,PMI基因编码的蛋白为酸性蛋白,分子量在40到60kDa之间;二级结构中均以α-螺旋和无规则卷曲为主;三级结构与二级结构相吻合。     

广西北海涠洲岛海岸侵蚀特征

通过对2006-2013年布设在涠洲岛的15条岸滩剖面3次重复测量和数据对比分析,发现涠洲岛岸线整体遭受侵蚀.岸滩剖面长期变化特征表明,涠洲岛东部与西南部海岸侵蚀较为严重,西南部岸段年均下蚀可达0.18 m;正北部岸滩海岸侵蚀程度相对较轻,南湾段海岸整体变化较小,呈现弱侵蚀弱淤积变化.在短期强热带风暴影响下,冬季至夏季岸滩下蚀明显.     

Characterization of marine microplankton communities of Qingdao coastal areas using randomly amplified polymorphic DNA（RAPD）

Microplankton communities of three coastal sites of Qingdao, Shandong Province, China were investigated using RAPD (random amplified polymorphic DNA) molecular markers and morphological observations. Eight RAPD-primers were selected to amplify the DNA polymorphy. The genetic distances inferred from the pairwise similari-ties were calculated for the phylogenetic tree construction. Meantime, the traditional microscopic determination, a way of visualizing the species composition, was performed to detect the major taxa of microplanktons from all samples. Results showed that: (1) the band sharing index values were in the range of 0. 504 2-0. 763 2 among samples from the same sampling site at different time scales, while 0.406 5-0.685 7 among the samples from different stations at the same time scales, indicating that spatial variations of microplankton communities were more pronounced than temporal ones; (2) samples from the same station basically clustered together, cor-responding to the geographic distribution of the sampling sites; (3) diversity derived from genetic and morpho-logical data did not correspond with each other well.     

厦门同安西柯对虾养殖池的细菌数量动态

本文研究了对虾养成期间养殖池生态系中细菌的数量动态,探讨其变化规律与虾病的关系。结果表明,总细菌、弧菌和发光细菌在水体、底质和虾体中的数量变化各异。在水体各菌数与其环境因子的关系中,除了总菌数与COD存在着正相关外,其它的不存在相关性。虾体的总细菌、弧菌和发光细菌的数量（以细胞计）可以用来预报虾病,三者的阅值分别为107个　／g（湿重）、105个／g（湿重）和104介／g（湿重）。通过对对虾的细菌学跟踪监测,可以及时采取有效的应急防治措施。     

长江口海域营养盐的分布特征及其成因

以第二次全国污染基线调查资料为依据,分析了长江口海域营养盐分布特征及其成因。结果表明：本海域硝酸盐分布沿岸高,外海低;磷酸盐由外海向长洚口门呈舌形递增。长江口内营养盐含量明显偏高,这主要是长江口径流携带大量沿岸污水进入本违法乱纪 域所致。本海域富营养化程度较高,一旦外界条件成熟,极易发生赤潮。     

渤海、北黄海海冰与气候变化的关系

渤海和北黄海的冰情随着历年冬季气候差异而不同.暖冬海冰覆盖范围不足海域的15%,而寒冬可覆盖海域80%以上.概述了海冰监测及资料来源.冰覆盖面积、外缘线位置和冰况等级等被作为反映结冰海域冰情的指标.用大连和营口站的气温表示渤海、北黄海海域的局地气候.用1952～2000年大连的月平均气温描述冰情的变化.给出冰情指数由1952/1953年到1999/2000年随大连站月平均气温变化.影响渤海和北黄海冰情和气候的因子很多,诸如大气环流的演变和太阳活动等.分析了多种因子与冰情的滞后相关,指出20世纪90年代渤海冰情持续偏轻与全球气候变暖趋势相当一致;渤海和北黄海冰情的年际变化与El-Nino现象以及太阳活动周期有关;讨论了海冰季节演变的特征