Real-Time Observation on Water-Soluble Ions of PM2.5in Beijing under the Influences of Different Air Masses in Summer简

To further understand the variations of water-soluble ions in PM2.5 in Beijing,the authors observed their concentrations continuously and in high temporal resolution by the system for rapid collection of fine particles and ion chromatography（RCFP-IC） during 12–18 July 2010.These results combined with those of earlier backward trajectory research are used analyzed to determine the causes of concentration changes in water-soluble ions under the influences of two kinds of air masses in summer.The results indicate that concentrations of NO3^-,SO4^2-,and NH4＋ were influenced strongly by the continental air mass than by the marine air mass.Cl^- and Na^＋ were not changed significantly.Because the sources of K^＋,Mg^2＋,and Ca^2＋ are mainly concentrated on land,their concentration levels were slightly higher under the control of continental air mass than that of the marine air mass.Variations of NO2^- during the observation differed from those of other ions;its concentration was significantly higher under the influence of marine air mass.Moreover,the authors obtain the diurnal variations of eight water-soluble inorganic ions including NH4^＋,K^＋,Mg^2＋,Ca^2＋,Cl^-,NO2^-,NO3^-,and SO4^2-.Diurnal variations of NH4^＋,NO3^-,and Cl^- showed single peak,which appeared before noon,while SO4^2- showed two peaks that appeared during rush hours.Those of Mg^2＋,Ca^2＋,and K＋ showed single peak that appeared in the afternoon.That of NO2^- showed with a peak appearing at sunrise and a valley appearing at sunset.     

南海大气季节内振荡特征及其与ENSO循环的关系

采用1979—2009年NCEP/NCAR再分析资料、NOAA向外长波辐射(outgoing long-wave radiation,简称OLR)及扩展重建海表面温度资料,对南海大气季节内振荡(Intra-seasonal Oscillation,简称ISO)特征及其与ENSO循环的关系进行了诊断分析。结果表明:1)南海大气ISO的30~60 d周期在5—10月均显著。一般年南海大气ISO的对流传播在纬向上存在东传和西传,在经向上具有南北半球季节性摆动的特征。以低频动能表征的南海大气ISO强度年代际变化特征明显,近31 a来趋势增强,年变化呈单峰结构,峰值在7—8月。2)南海大气ISO的对流与ENSO循环显著相关,其强度在El Nio(La Nia)年减弱(增强)。与一般年对比,南海大气ISO对流在El Nio和La Nia年均表现为西传减弱、北传显著。北传特征表现为强对流活跃带于春季(4—5月)北跳至北半球(在La Nia年最北可至35°N),但在北半球的传播方向与一般年相比存在显著差异。3)南海大气ISO强度与ENSO循环关系密切,在El Nio(La Nia)年减弱(增强),两者表现为约半年(6~8个月)的滞后相关。Nio3区海表面温度异常序列与南海大气ISO强度的相关在中西太平洋地区和El Nio成熟前的春、秋季最显著,同时相关中心伴随低频动能高值区东移。     

南海温度锋的分布特征及季节变化

利用50a(1950—2007年)的SODA(Simple Ocean Data Assimilation)数据分析了南海上层温度锋分布特征以及季节变化规律。结果表明:受季风、太阳辐照以及诸多因素影响,温度锋季节变化明显,锋面结构复杂。冬季,温度锋基本沿陆架分布,存在于南海北部海区,从台湾海峡一直延伸到北部湾,发育比较显著;春季,主要出现在南海北部海区、北部湾、越南东部海岸,分布比较广泛;夏季温度锋出现概率增加,出现区域扩大,越南东部出现大面积温度锋;秋季南海中西部海域存在大面积的温度锋。     

Comparison of the Influence of Interannual Vegetation Variability between Offline and Online Simulations

This study investigates the influence of interannual vegetation variability. Two sets of offline and online simulations were performed using the Community Earth System Model. The interannual Global LAnd Surface Satellite （GLASS） leaf area index （LAI） dataset from 1985 to 2000 and its associated climatological LAI were used to replace the default climatological LAI data in version 4 of the Community Land Model （CLM4）. The re- sults showed that on a global scale, canopy transpiration and evaporation, as well as total evapotranspiration in offline simulations were significantly positively corre- lated with LAI, whereas ground evaporation and ground temperature showed significant negative correlation with LAI. However, the correlations in online simulations were reduced markedly because of interactive feedbacks between albedo, changed climatic factors and atmospheric variability. In the offline simulations, the fluctuations of differences in interannual variability of evapotranspiration and ground temperature focused on vegetation growing regions and the magnitudes were smaller. Those in online simulations spread over more regions and the magnitudes were larger. These results highlight the influence of interannual vegetation variability, particularly in online simulations, an effect that deserves consideration and attention when investigating the uncertainty of climate change.     

饲料添加不同脂肪及蛋白质水平对日本沼虾(Macrobrachium nipponensis)生长性能、体成分及消化酶活力的影响

本实验以64d为限,设A1(34%),A2(38%),A3(42%)三个蛋白梯度水平和B1(5%),B2(8%),B3(11%)三个脂肪梯度水平,采用正交试验方法研究了饲料中不同脂肪及蛋白质水平对日本沼虾(Macrobrachium nipponensis)[平均体重(0.69±0.23)g]生长性能、体成分和消化酶活力的影响。结果表明,脂肪和蛋白质水平对日本沼虾成活率影响不显著(P0.05),脂肪水平对32d相对增重率和特定生长率影响显著(P0.05)。B3组的特定生长率和相对增重率均显著低于B1和B2组(P0.05)。全虾和肌肉的脂肪含量显著地受饲料脂肪水平的影响(P0.05)。饲料中蛋白质水平对全虾的干物质、蛋白质和灰分含量,以及肌肉中脂肪、蛋白质含量影响显著(P0.05)。饲料脂肪水平对肝胰脏中脂肪酶活力影响显著(P0.05),蛋白水平对肝胰脏中脂肪酶、蛋白酶和淀粉酶活力影响不显著(P0.05)。本文认为日本沼虾饲料脂肪水平应以5%—8%较为合适,蛋白质水平应在38%左右较为合适。     

基于ROMS模式利用集合最优插值同化沿轨海表面高度异常数据的研究

The ensemble optimal interpolation （EnOI） is applied to the regional ocean modeling system （ROMS） with the ability to assimilate the along-track sea level anomaly （TSLA）. This system is tested with an eddy-resolving system of the South China Sea （SCS）. Background errors are derived from a running seasonal ensemble to account for the seasonal variability within the SCS. A fifth-order localization function with a 250 km localization radius is chosen to reduce the negative effects of sampling errors. The data assimilation system is tested from January 2004 to December 2006. The results show that the root mean square deviation （RMSD） of the sea level anomaly decreased from 10.57 to 6.70 cm, which represents a 36.6% reduction of error. The data assimilation reduces error for temperature within the upper 800 m and for salinity within the upper 200 m, although error degrades slightly at deeper depths. Surface currents are in better agreement with trajectories of surface drifters after data assimilation. The variance of sea level improves significantly in terms of both the amplitude and position of the strong and weak variance regions after assimilating TSLA. Results with AGE error （AGE） perform better than no AGE error （NoAGE） when considering the improvements of the temperature and the salinity. Furthermore, reasons for the extremely strong variability in the northern SCS in high resolution models are investigated. The results demonstrate that the strong variability of sea level in the high resolution model is caused by an extremely strong Kuroshio intrusion. Therefore, it is demonstrated that it is necessary to assimilate the TSLA in order to better simulate the SCS with high resolution models.     

海上试验场潮流能发电装置综合测试与评价方法分析(英文)

开展潮流能装置实海况试验、检测与评价方法研究,对海洋高科技成果的转化、海洋可再生能源开发提供了科学、有效的技术保障。文章通过对潮流能装置的功率输出特性、年发电量、能量转换效率三项核心指标进行分析,提出指标的测试内容和评价方法,为实现潮流能海上试验与测试场建设提供技术依据;并根据对海上风电场的研究,提出了海上试验场潮流能装置的电能质量测试与评估方法;给出潮流能装置安全准入的测试内容,全面评估试验场潮流能装置的运行状态。     

2009年豫南一次强暴雨过程的位涡方程诊断分析

利用中尺度WRF模式、NCEP/NCAR再分析格点资料及常规气象观测资料,对2009年8月28—30日河南省南部一次强暴雨过程进行中尺度数值模拟,借助模式输出的模拟数据计算位势涡度及位势涡度方程收支,并利用位涡收支方程对此次暴雨过程进行诊断分析。结果表明,WRF模式对此次暴雨过程的模拟效果较好,模拟暴雨强度及落区与实况较一致,位势涡度能够较好地反映此次暴雨过程的动力及热力特征。位涡异常高值区与暴雨中心有较好的对应关系,暴雨中心大致位于位涡高值中心东南侧。位涡收支方程中各收支项同样能够反映此次暴雨过程的动力、热力性质。暴雨发展过程中大气中低层位涡局地增加,位涡局地变化大值中心驿应暴雨中心。各收支项中,引起中低层位涡局地变化的贡献主要来源于潜热加热作用、水平平流作用、垂直输送作用及摩擦作用。其中潜热加热与水平平流作用对暴雨中低层正变位涡起正贡献作用,潜热加热作用有利于位涡局地增加,水平平流作用易于低层位涡向流场辐合区聚集,引起局地位涡增加;垂直输送及摩擦作用对中低层位涡变化表现为负贡献作用,垂直作用易于将中低层位涡向高层输送,使得低层位涡减小,高层位涡增加。在摩擦作用下,低层位涡被大量耗散,使得中低层位涡局地减小。     

QuikSCAT和ASCAT卫星反演风场在中国南海北部的适用性研究

对QuikSCAT和ASCAT原始轨道10 m反演风场与浮标资料在中国南海北部的统计检验分析结果表明:两套卫星资料在中国南海北部具有较好的适用性,QuickSCAT反演风速偏高0.46 m·s~(-1),ASCAT反演风速在近海偏高0.45 m·s~(-1),在开阔海域偏高0.07 m·s~(-1)。超过半数的QuickSCAT反演风向误差30°。在近岸海域,ASCAT反演风向误差30°的超过56%,在开阔海域,误差绝对值30°的达到64%。小风时卫星反演风速偏大,大风时卫星反演风速明显偏小,且白天的偏差大于夜间;在5~10 m·s~(-1)风速条件下,两者的一致性较好。用WRF模式模拟的近海风能资源存在高估的可能,卫星资料对近海风能资源评估是个有益的补充,本文对卫星反演风场误差的分析结果也可以为卫星反演风场的资料同化提供参考。     

通过软硬变化检测识别冬小麦

提出一种软硬变化检测的作物识别方法 SHLUCD(Soft and Hard Land Use/Cover Change Detection Method)。该方法利用多期遥感影像能够有效表达作物的生长物候特征,以达到在离散变化区(即纯净像元区,包括完全转换成作物的突变区域和非作物区域)和连续变化区(即渐变区,混合像元区,是部分转化为作物的区域)准确进行作物的识别。在北京市选择一个研究区,以冬小麦为研究对象,选用2011年10月6日(播种期)和2012年4月16日(拔节期)两期环境减灾1号卫星影像,分别采用硬变化检测方法 HLUCD(Hard Land Use/Cover Change Detection Method)、软变化检测方法 SLUCD(Soft Land Use/Cover Change Detection Method)和SHLUCD进行冬小麦的识别。实验结果表明:在不同尺度窗口下,SHLUCD较传统方法表现出较明显的优势,具有更低的均方根误差RMSE(SHLUCD为[0.14,0.07],HLUCD为[0.15,0.07],SLUCD为[0.16,0.08])和偏差bias(SHLUCD为-0.0008,HLUCD为-0.007,SLUCD为0.014)和更高的决定系数R2(SHLUCD为[0.68,0.86],HLUCD为[0.62,0.86],SLUCD为[0.60,0.86])。针对冬小麦突变区域、冬小麦渐变区域和非冬小麦区域分别进行评价,表明SHLUCD识别精度接近各区最佳的识别方法,进一步验证了SHLUCD的灵活性和适用性。SHLUCD方法在离散变化区能够通过土地覆盖类型状态变化来有效地识别出冬小麦,在连续变化区可识别出土地覆盖的状态变化程度定量表达冬小麦的丰度,是其他作物多时相遥感变化检测的前期实验基础。