安徽凤台县磷矿的形成条件及其分布規律的初步意見

鳳台磷矿床是由磷块岩,含磷灰岩,含磷页岩所组成的含磷岩系。为下寒武纪下部之沉积矿床。含磷岩系不整合接触于下寒武纪底部之底礫岩上。此区域之磷矿床是否与遵义、昆阳之下寒武纪沉积磷矿床属同类型尚待研究。     

高分辨率地形资料应用对CMA-MESO模式地面气象要素的影响

真实地形包含各自不同尺度的地形特征,对各种时空大气运动有深刻影响。不同尺度的地形效应很难在数值模式的离散格点中准确刻画,是发展数值模式的难点问题之一。随着模式向亚千米级高分辨率发展,高分辨模式要求刻画出更高准确度的地形数据。本研究在CMA-MESO中引入ASTER-1s高精度地形数据和改进地形滤波函数,在滤去波长接近模式网格的小尺度地形的同时保留更多地形细节,以提高模式对地形的刻画准确度。通过冬、夏各1个月批量模拟试验结果与2万多个地面观测站点观测数据的对比,发现单独采用ASTER-1s地形而不改变CMA-MESO的地形滤波函数,模式对2 m气温和10 m风速的整体预报准确度提升较小,采用ASTER-1s地形并改进地形滤波函数明显提高了模式对2 m气温和10 m风速的预报准确度,对气温和风速的月平均均方根误差分别减少了6.4%和4.9%。夏季1个月批量试验显示,改进的新地形方案对降水预报提升较弱,未造成非真实的细碎降水分布或异常值。此外,动能谱分析新引入的地形和滤波函数未造成高频能量积累。研究结果表明新地形方案能够明显改进低层气温和风速的预报准确度,并且在数值上稳定可靠。     

加减桂枝茯苓丸治疗湿热瘀阻型慢性放射性直肠炎33 例

目的：观察加减桂枝茯苓丸治疗湿热瘀阻型慢性放射性直肠炎的临床疗效。方法：将68 例慢性放射性直肠炎患者随机分为治疗组和对照组,每组各34 例。2组均予以对症支持治疗,对照组在此基础上予复方谷氨酰胺肠溶胶囊治疗,治疗组在对照组的基础上联合加减桂枝茯苓丸治疗,2组疗程均为14 d。观察2组综合疗效、中医证候积分、血清实验室指标［C反应蛋白（CRP）、肿瘤坏死因子-α（TNF-α）、白细胞介素-6（IL-6）］水平、Karnofsky功能状态（KPS）评分及不良反应等情况。结果：治疗期间治疗组剔除1 例,对照组剔除3 例,最终治疗组纳入33 例,对照组纳入31 例。总有效率治疗组为84.85%（28/33）,对照组为67.74%（21/31）,2组比较,差异有统计学意义（P<0.05）。2组中医证候积分、CRP、TNF-α、IL-6及KPS评分治疗前后组内比较及治疗后组间比较,差异均有统计学意义（P<0.05或P<0.01）。治疗期间2组均未出现不良反应。结论：加减桂枝茯苓丸联合西药治疗慢性放射性直肠炎疗效较好,可减轻患者肠道炎症反应,改善临床症状,提高患者生活质量,值得临床推广和应用。     

三门峡市短时暴雨预报方法

通过对三门峡市1997～2001年6～8月雷达资料及地面、高空气象资料统计分析,挑选出4个与短时暴雨相关性较好的预报因子,利用概率回归方法,建立了短时暴雨预报方程.     

基于ArcGIS的室内地图服务系统的设计与实现

随着室内建筑结构复杂度的增加,人们的室内活动变得越来越"迷茫",为了改变这种现状,方便快捷地为地图使用者提供各种室内地图服务,本文在对长江大学师生进行调研的基础上设计并开发出了基于Arc GIS的室内地图服务系统。系统采用Arc Map制作室内GIS矢量电子地图,Arc GIS Server发布地图服务,使用离线地图提高系统流畅性,并运用Indoor Atlas技术探索室内定位导航,实现了在大型复杂场馆内的地图服务。     

重庆银矿垭口铝土矿床镓地球化学特征及成矿环境研究

通过对重庆银矿垭口铝土矿床的研究,发现该矿床中镓含量普遍超过了工业综合利用的最低指标,在含矿岩系中均有分布,且镓和Al₂O₃呈弱的正相关关系。通过Sr与Ba比值推断,矿床以陆相沉积为主,沉积过程中有海水的介入;样品Rb/K值小于标准海洋沉积值（0.006）,属半咸水海陆过渡带沉积~淡水沉积;U/Th比值和V/Cr比值分别在0.1~0.73和0.5~2.04之间,由此可以判别含矿岩系属于典型氧化环境;对Ni/Co比值的计算发现含矿岩系可能在沉积过程中受到了海水的改造;Ga/Al比值变化范围主要在0.53～1.74,成矿介质酸碱度的变化幅度较小;从含矿岩系矿物组合中含黄铁矿、高岭石等矿物可以推断介质为酸性的可能性较大。稀土元素球粒陨石标准化分布模式表明,轻稀土富集,重稀土亏损,据样品统计,δCe<0.95为负异常的4个样品分布在探槽工程底部,0.95<δCe<1.05为正常的样品个数为3,其余19个为正异常,Eu显示为负异常;总体水介质应以淡水为主、基本处于氧化环境、弱酸性介质。因此该矿床是以陆相沉积、淡水作用为主的海陆交互环境。     

辽西八百垅钼多金属矿床地质特征及成因探讨

八百垅钼多金属矿床地处辽宁省西部,位于华北地台(中朝准地台)北缘山海关―北镇古隆起与辽西凹陷之间的过渡带上,即著名的八家子―杨家杖子岩浆热液钼多金属成矿带的北东部。八百垅钼多金属矿床规模较大,矿床品位高且变化稳定,矿体埋藏较浅,其形成经历了长期的成矿作用和矿化富集,具叠加成因特点,成矿时代为早侏罗世中期,成因类型为高硅、富钾斑岩型脉状、细脉状钼多金属矿床。     

Impacts of a Large-scale Adaptive Blending Scheme for CMA-MESO on Regional Forecasts-A Case Study of Typhoon Haima

Large-scale atmospheric information plays an important role in the regional model for the forecasts of weather such as tropical cyclone (TC). However, it is difficult to be fully represented in regional models due to domain size and a lack of observation data, particularly at sea used in regional data assimilation. Blending analysis has been developed and implemented in regional models to reintroduce large-scale information from global model to regional analysis. Research of the impact of this large-scale blending scheme for the Global / Regional Assimilation and PrEdiction System (CMA-MESO) regional model on TC forecasting is limited and this study attempts to further progress by examining the adaptivity of the blending scheme using the two-dimensional Discrete Cosine Transform (2D-DCT) filter on the model forecast of Typhoon Haima over Shenzhen, China in 2016 and considering various cut-off wavelengths. Results showed that the error of the 24-hour typhoon track forecast can be reduced to less than 25 km by applying the scale-dependent blending scheme, indicating that the blending analysis is effectively able to minimise the large-scale bias for the initial fields. The improvement of the wind forecast is more evident for u-wind component according to the reduced root mean square errors (RMSEs) by comparing the experiments with and without blending analysis. Furthermore, the higher equitable threat score (ETS) provided implications that the precipitation prediction skills were increased in the 24h forecast by improving the representation of the large-scale feature in the CMA-MESO analysis. Furthermore, significant differences of the track error forecast were found by applying the blending analysis with different cut-off wavelengths from 400 km to 1200 km and the track error can be reduced less than by 10 km with 400 km cut-off wavelength in the first 6h forecast. It highlighted that the blending scheme with dynamic cut-off wavelengths adapted to the development of different TC systems is necessary in order to optimally introduce and ingest the large-scale information from global model to the regional model for improving the TC forecast. In this paper, the methods and data applied in this study will be firstly introduced, before discussion of the results regarding the performance of the blending analysis and its impacts on the wind and precipitation forecast correspondingly, followed by the discussion of the effects of different blending scheme on TC forecasts and the conclusion section.