边界层风廓线雷达资料在北京夏季强降水天气分析中的应用

利用北京城区及周围3个站的Airda 3000边界层风廓线雷达提供的风廓线资料,详细分析了北京2005年8月3日的一次强降水天气过程.分析表明,降水前十几小时出现双层低空急流,急流层内结构复杂,呈现多中心结构.风廓线观测揭示,南高空槽和弱冷空气共同诱发产生的切变线低涡是产生此次暴雨天气的主要中尺度系统,暴雨系统有很复杂的垂直结构.强降水开始前数小时(夜间)城区地面风场辐合,在临近降水和降水开始时辐合(或切变)层向上发展,这一过程有利于降水的发展.     

汛期短历时强降水过程的闪电特征

对2011年3次短历时强降水天气过程的闪电特征分析结果表明:①3次短时强降水都以负闪为主,负闪占总闪电的比例都在92﹪以上;②小时闪电频数峰值超前降雨峰值1h或同相;③5min闪电频数超前雨量峰值5~60min;④负闪电密集区主要发生在40dBZ以上的回波区,偶尔发生的正闪一般在较弱回波处;闪电大部分发生在回波顶高大于5km以上的区域;多分布在速度不均匀场附近;闪电密集区与VIL大值区对应关系不太好;⑤不同云体,闪电特征不尽相同,闪电频数高峰有的发生在强回波阶段,有的并不是回波最强阶段,而是减弱阶段。强回波前沿出现闪电密集区或前方无回波处发生闪电,预示未来强回波移动的方向;有的云体发展、成熟阶段闪电分布密集,负闪电主要集中在强回波中心附近,云体减弱阶段闪电分散,集中在单体的不同部位。     

Quality influencing factors of dispersion curves from short period dense arrays based on a convolutional neural network across the north section of the Xiaojiang fault area

The number of dispersion curves increases significantly when the scale of a short-period dense array increases. Owing to a substantial increase in data volume, it is important to quickly evaluate dispersion curve quality as well as select the available dispersion curve. Accordingly, this study quantitatively evaluated dispersion curve quality by training a convolutional neural network model for ambient noise tomography using a short-period dense array. The model can select high-quality dispersio...     

中草药防治鱼病研究进展

中草药(traditional Chinese herb medicine)是中药和草药的总称,是中国医药的愧宝。它具有毒副作用小、价格低廉、不易产生抗药性等优点,且其中的某些药物成分不仅有抗菌作用,还具免疫作用,能改善机体的免疫状态,提高机体自身的抗菌防病能力。另外由于近年来,集约化、工厂化水产养殖方式的迅速发展,养殖产量的提高及抗生素等抗菌药物的使用,使养殖用水体日益恶化,水产品药物残留居高不下,这不仅威胁到水产养殖本身,水产养殖动物病害越来越严重,同时还威胁到人们的身心健康,所以进一步开展中草药在水产养殖上的应用研究成为必然趋势。1体外…     

Study on applying optimal path to land valuation

Introduction Thebasiclandpriceistheaveragepriceofev eryequalparceloreverylandclassspecifiedby thegovernment,accordingtodifferentuseof landsuchascommerce,industry,residence,etc.Asanimportantroleplayingintheurban landpricesystem,thebasiclandpriceinstructs a…     

林甸M S 5.1地震前地震活动图像分析和综合预报方法

通过对黑龙江亚板块及其临近区域的不同时段地震活动图像研究分析,发现了中强震前地震活动图像的一些特点,再回归到地震动力学环境中去,建立了理论解释模型和两条判据假说。以此为基础并结合近年来地震活动图像综合分析后,我们在2005年下半年黑龙江省地震趋势会商意见中提出:松嫩盆地是5级以上中强震的主要孕震区。2005年7月25日林甸Ms 5．1地震对此给予了验证。本文对此过程阐述并作进一步分析,希望这种综合预报方法对地震预报工作有所帮助。     

华北陆块东南缘凤台组时代的讨论

华北陆块东南缘凤台组归属于震旦系或寒武系尚无定论,影响了对华北陆块震旦纪与寒武纪转折时期的古构造、古地理和古生物的重大质变事件的探讨。本文根据下震旦统顶部与凤台组之间裂离不整合的发现及其意义的讨论,以及凤台组夹层粉砂质泥岩620Ma的Pb-Pb等时线年龄,基本厘定出凤台组时代为晚震旦世。     

辽宁省春玉米全育期的气候适宜度及年景评估

为评价气候变化对玉米生长的影响,以辽宁省为例选取1969—2018年18个气象站点的逐日实测气象数据,利用模糊数学法建立春玉米气候适宜度评估模型,以地理信息技术为依托,探究春玉米气候适宜度的时空特征,并在此基础上进行玉米气候年景的综合评估。结果表明：① 辽宁省春玉米全生育期内日照、温度、降水适宜度波动幅度较大;然而春玉米种植气候适宜度的空间差异性较弱。② 春玉米各生育期气候适宜度由高到低为：出苗期>开花期>成熟期>播种期。全生育期温度适宜度最高,日照适宜度次之,降水适宜度最低。③ 春玉米播种期、出苗期、开花期和成熟期的气候适宜度最高值分别出现在辽阳、葫芦岛、营口和铁岭。④ 春玉米气候年景准确率达64%,表明该评估方法可以较为准确地反映气候年景。近50 a辽宁省春玉米偏好的年景有4个年份（1971、1979、1993、1998年）,较差的有1969年（4.98%）及1973年（5.59%）。     

浙江省人口健康脆弱性评估及影响因素分析

运用集对分析法从敏感性和应对性2个方面对浙江省11个地市的人口健康脆弱性进行评估。研究表明：① 从敏感性和应对性2个维度对城市人口健康脆弱性进行评估的方法具有一定可靠性,但在突发大型流行性病毒感染疫情的情境下仍需进一步完善;② 各地市脆弱性指数排名与敏感性指数保持较高一致性,而与应对性指数则表现出异质性和随机性,认为降低敏感性是降低城市人口健康脆弱性指数的关键;③ 城市人口健康脆弱性评价还应该增加城市对大型突发公共卫生事件的敏感性和应对能力的考量,相应的评估方法和模型仍有待进一步研究。     

Population,urbanization and economic scenarios over the Belt and Road region under the Shared Socioeconomic Pathways

The countries throughout the Belt and Road region account for more than 60% of the world's population and half of the global economy. Future changes in this area will have significant influences on the global economic growth, industrial structure and resource allocation. In this study, the proportion of the urban population to the total population and the gross domestic product were used to represent the levels of urbanization and economic development, respectively. The population, urbanization and economic levels of the Belt and Road countries for 2020–2050 were projected under the framework of the IPCC's shared socioeconomic pathways(SSPs), and the following conclusions are drawn.(1) The population, urbanization and economic levels in the Belt and Road region will likely increase under all five pathways. The population will increase by 2%–8%/10 a during 2020–2050 and reach 5.0–6.0 billion in 2050. Meanwhile, the urbanization rate will increase by 1.4%–7.5%/10 a and reach 49%–75%. The GDP will increase by 17%–34%/10 a and reach 134–243 trillion USD.(2) Large differences will appear under different scenarios. The SSP1 and SSP5 pathways demonstrate relatively high urbanization and economic levels, but the population size is comparatively smaller; SSP3 shows the opposite trend. Meanwhile, the economy develops slowly under SSP4, but it has a relatively high urbanization level, while SSP2 exhibits an intermediate trend.(3) In 2050, the population will increase relative to 2016 in most countries, and population size in the fastest growing country in Central Asia and the Middle East countries will be more than double. Urbanization will develop rapidly in South Asia, West Asia and Central Asia, and will increase by more than 150% in the fastest growing countries. The economy will grow fastest in South Asia, Southeast Asia and West Asia, and increase by more than 10 times in some counties with rapid economic development.