东山乌礁湾海滩表层沉积物粒度时空变化分析

为了进一步了解海岛岬湾海岸表层沉积物粒度的时空分布特征和形成机制,作者以福建东山岛乌礁湾为典型研究区,通过秋、春、夏3个不同季节海滩表层沉积物的采集和点位测量,综合应用激光法和筛析法进行粒度测定。结果表明,东山乌礁湾海滩表层沉积物以0.16～0.50 mm之间的中、细砂为主,并含有少量的粗砂和细砾,这与区域砂质沉积背景有关;湾内从南到北剖面沉积物粒径由粗砂到细砂逐渐变细,主要受剖面地形、局地物源、季节性风浪作用和近岸往复水动力的影响。时间变化上,各取样站位表现出沉积物粒径粗、细不同程度的多种变化趋势,以秋季为参考,整体上表现为由南到北粒级的变小、增大和稳定,这与东北、南南西季风影响下的浪、潮作用以及沿岸流系格局变化下的水动力环境有关。     

Visualising 30 Years of Population Density Change in Australia’s Major Capital Cities

ABSTRACT

This study uses a novel spatial approach to compare population density change across cities and over time. It examines spatio-temporal change in Australia’s five most populated capital cities from 1981 to 2011, and documents the established and emerging patterns of population distribution. The settlement patterns of Australian cities have changed substantially in the last 30 years. From the doughnut cities of the 1980s, programs of consolidation, renewal and densification have changed and concentrated population in our cities. Australian cities in the 1980s were characterised by sparsely populated, low density centres with growth concentrated to the suburban fringes. ‘Smart Growth’ and the ‘New Urbanism’ movements in the 1990s advocated higher dwelling density living and the inner cities re-emerged, inner areas were redeveloped, and the population distribution shifted towards increased inner city population densities. Policies aimed at re-populating the inner city dominated and the resultant changes are now visible in Australia’s five most populated capital cities. While this pattern has been reported in a number of studies, questions remain regarding the extent of these changes and how to analyse and visualise them across urban space. This paper reports on a spatial method which addresses the limitations of changing statistical boundaries to identify the changing patterns in Australian cities over time and space.     

Exploring the spatial distribution patterns of South African Cape hakes using generalised additive models

We developed delta generalised additive models (GAMs) to predict the spatial distribution of different size classes of South African hakes, Merluccius capensis and M. paradoxus, using demersal trawl survey data and geographical (latitude and longitude) and environmental features (depth, temperature, bottom dissolved oxygen and sediment type). Our approach consists of fitting, for each hake size class, two independent models, a binomial GAM and a quasi-Poisson GAM, whose predictions are then combined using the delta method. Delta GAMs were validated using an iterative cross-validation procedure, and their predictions were then employed to produce distribution maps for the southern Benguela. Delta GAM predictions confirmed existing knowledge about the spatial distribution patterns of South African hakes, and brought new insights into the factors influencing the presence/absence and abundance of these species. Our GAM approach can be used to produce distribution maps for spatially explicit ecosystem models of the southern Benguela in a rigorous and objective way. Ecosystem models are critical features of the ecosystem approach to fisheries, and distribution maps constructed using our GAM approach will enable a reliable allocation of species biomasses in spatially explicit ecosystem models, which will increase trust in the spatial overlaps and, therefore, the trophic interactions predicted by these models.     

西太平洋暖池热盐结构盐度场变异的主模态

基于1950~2011年间的月平均温、盐度资料,以28℃等温线作为西太平洋暖池的定义标准,并取ΔT=-0.4℃,分别计算了暖池区(20°N~15°S,120°E~140°W)各格点混合层、障碍层和深层的平均盐度,构成了暖池热盐结构的盐度场.据此,运用EOF分解法分析了暖池热盐结构盐度距平场主要模态的变化特征及其与ENSO间的关系,并探讨了主要模态的年际变异机理.结果表明,暖池热盐结构盐度场第一模态揭示了盐度场变异的关键区位于暖池中部;该模态具有2~4a的年际变化和准10a的年代际变化,并在1977年前后经历了一次气候跃变(此外,深层盐度场第一模态还在1999年前后发生了一次气候跃变),且在跃变前后与不同类型的ENSO事件有较密切的联系.暖池中部混合层和障碍层盐度的变化比较一致,即在跃变前盐度为偏高期,而在跃变后则变为偏低期.暖池中部深层盐度在1977年以前和1999年之后皆处于偏高期,而在1978~1999年间则处于偏低期.而且,从混合层至深层,盐度的变化幅度逐渐变小.进一步分析表明,暖池中部混合层和障碍层盐度的年际变化主要是由纬向风、南赤道流(SEC)和降水共同引起的,即当东风增强(减弱)时,强(弱)SEC将携带更多(少)的高盐水进入混合层或潜沉至障碍层,同时局地降水的减少(增多),也使得混合层和障碍层的盐度增加(减少);深层盐度的年际变化主要是由SEC和赤道潜流(EUC)导致的,即当SEC增强(减弱)时,将有更多(少)的高盐水进入暖池,而当EUC增强(减弱)时则有更多(少)的低盐水流出暖池,从而使得暖池的深层盐度升高(降低).     

Intercomparison of CRA-Interim Precipitation Products with ERA5 and JRA-55

By using the hourly data from surface meteorological stations in China, the 3-hour precipitation data from CRA-Interim (Chinese Reanalysis-Interim), ERA5 (ECMWF Reanalysis 5) and JRA-55 (Japanese Reanalysis-55) are compared, both on the spatial-temporal distributions and on bias with observation precipitation in China. The results show that: (1) The three sets of reanalysis datasets can all reflect the basic spatial distribution characteristics of annual average precipitation in China. The simulation of topographic forced precipitation in complex terrain by CRA-interim is more detailed, while CRA-interim has larger negative bias in central and East China, and larger positive bias in southwest China. (2) In terms of seasonal precipitation, the three sets of reanalysis datasets overestimate the precipitation in the heavy rainfall zone of spring and summer, especially in southwest China. CRA interim’s location of the rain belt in the First Rainy Season in South China is west by south, the summer precipitation has positive bias in southwest and South China. (3) All of the reanalysis datasets can basically reflect the distribution difference of inter-annual variation of drought and flood, but the overall the CRA-Interim generally shows negative bias, while the ERA5 and JRA-55 exhibit positive bias. (4) For the diurnal variation of precipitation in summer, all the reanalysis datasets perform better in simulating the daytime precipitation than in the night, and bias of CRA-interim is less in southeast and northeast than elsewhere. (5) ERA5 generally performs the best on the evaluation of quantitative precipitation forecast, the JRA-55 is the next, followed by the CRA-Interim. CRA-Interim has higher missing rate and lower threat score for heavy rains; however, at the level of downpour, the CRA-Interim performs slightly better.     

南部非洲花岗岩型与伟晶岩型钽矿床地质特征

钽作为一种重要的稀有金属矿产,广泛应用于各种工业领域。世界上的钽矿床成因主要为内生成矿,尤以花岗岩型和伟晶型最为重要,碰撞造山过程导致的多期次岩浆活动是有利的钽矿成矿环境。南部非洲钽矿资源丰富且品位高,主要为花岗岩型和伟晶岩型钽矿床,空间上主要分布在卡普瓦尔克拉通、刚果克拉通、津巴布韦克拉通以及基巴拉、泛非、达马拉等碰撞环境下形成的同造山—后造山构造带内,时间上主要集中在太古宙(2.85~2.58 Ga)、古元古代(2.48~2.0 Ga)、晚中元古代—早新元古代(1026~880 Ma)以及泛非活动期(500~440 Ma),且不同钽矿带内含钽矿物稀有及稀土元素分布特征差异较大。南部非洲发育大量与钽矿形成密切相关的花岗岩及伟晶岩岩体,资源潜力巨大,未来有望成为世界上主要的钽资源接续基地。     

内蒙古呼包鄂地区近56年来大气环境容量变化特征分析

为探讨内蒙古呼包鄂地区大气对污染物承载能力的变化,科学评价气候变化对大气环境的影响,利用1961—2016年呼包鄂地区8个国家气象站降水量、风速、云量资料,分析了该地区气象条件的变化特征及大气环境容量的时空分布特征,并对大气环境容量与气象要素之间的相关性进行了分析。结果显示:呼包鄂地区大气环境容量1月的最小、4月的最大,春季的>秋季的>夏季的>冬季的,年平均大气环境容量为62.4 t/d/km^2;月、季、年平均大气环境容量呈波动减小趋势,特别是20世纪70年代末期之后减小趋势更为显著;有明显的空间分布特征,由城区向郊区逐渐增大,城郊差异冬季最为明显,夏季差异最小;大气环境容量与降水相关性差,与风速和日最大混合层高度呈显著的正相关关系,特别是与风速相关性更显著,与小风日数呈显著的负相关关系。     

三江源区大气可降水量时空特征及其与降水关系

利用1979—2016年欧洲中期天气预报中心(ECMWF) ERA-Interim (1°×1°)再分析资料中的经、纬向水汽通量和大气可降水量(precipitation water vapor,PWV)数据,采用相关性分析、趋势分析法、累积距平、IDW等方法,分析三江源地区PWV与水汽通量的时空分布特征、降水转化率(precipitati-on conversion efficiency,PCE)变化规律。结果表明:过去的38 a,经、纬向多年平均水汽通量分别为50. 2、196. 7 kg·m-1·s^(-1),纬向水汽通量气候倾向率比经向大。南边界为纬向主要水汽输入边界,东边界为经向主要水汽输出边界,纬向水汽输送大于经向输送。多年平均PWV为1998. 3 mm,近38 aPWV呈现微弱增加趋势,1979—1997年,PWV呈下降趋势,1998年后PWV呈增加趋势,同期降水也在增加,说明该时段三江源地区气候转湿。PWV与水汽通量的年际变化趋势和转折年相一致。三江源区多年平均PCE为24. 57%,1989年PCE最高,达32. 76%,各季节平均PCE空间分布与年平均PCE分布一致,均表现出南部、东南部高,西部、东北部低的变化特征,各季节PCE大小差异明显,春季多年平均PCE为15. 92%,夏季25. 67%,秋季21. 01%,冬季仅7. 03%。     

青海高原致灾性对流天气时空分布特征

利用2005-2016年青海高原地面观测、灾情和卫星云图等资料,对青海高原致灾性对流天气进行筛选和分类,在此基础上分析了各类致灾性对流天气的时空分布特征及与地形的关系。结果表明:(1)青海高原致灾性对流主要有雷暴、短时强降水、冰雹以及混合类四种,集中分布于高原东部。(2)地形对致灾性对流的落区、频次和强度起关键作用。雷暴多产生于山区,短时强降水和冰雹主要产生在迎风坡、河谷和地势较开阔的低地。其中,青东农区以混合类和冰雹居多,青南牧区以混合类居多,环湖与祁连地区和柴达木盆地以短时强降水居多。(3)近12 a青海高原致灾性对流整体呈波动式减少,2005-2010年(前期)致灾性对流日数和次数较多,2011-2016年(后期)显著减少,但不同类型年际变化特征略有差异。其中,冰雹和雷暴日数前期较大,后期显著减少;混合类和短时强降水日数无明显变化趋势,但前者年际波动幅度较后者大。(4)致灾性对流主要产生于5-9月,各类型均呈现典型的单峰型月分布,混合类和冰雹日数及次数的峰值均在8月,雷暴日数和次数的峰值均在6月,而短时强降水日数和次数的峰值分别在8月、7月。(5)致灾性对流集中产生于13:00至次日01:00,高峰时段(16:00-20:00)以冰雹和混合类居多,而夜间时段以短时强降水居多。     

2016—2017年贵州大雾时空分布及气象要素演变分析

利用2016—2017年自动站逐小时观测资料,统计分析了贵州大雾天气的时空分布特征;同时,结合天气图资料分析筛选了锋面大雾个例31 d和辐射大雾个例17 d,对比分析大雾生消过程中风、温、湿等气象要素演变特点。结果表明：(1)贵州大雾在秋末到初春较为频发;一天中夜间02—09时是大雾频发时段,07时达到峰值。(2)贵州自西向东有4个多雾区,分别为西南部区域、中部区域、东部边缘区域和北部局部区域。(3)锋面大雾主要出现在贵州中西部,范围最广时可达20个县站左右,持续时长可达10~13 h,单站可持续60 h以上。辐射大雾以贵州中东部地区出现较多,范围最广时可接近40个县站,远比锋面大雾范围广,持续时间相对较短。(4)大雾期间,10 min平均风速为0~3 m?s-1,相对湿度为97%~100%,温度露点差为0~0.5℃;辐射大雾初期或形成前气温呈下降状态,消散期升温较明显,地气温差呈现由负到正或由低到高的变化趋势,反映出近地层大气由较为稳定的逆温环境向不稳定环境变化的过程;锋面大雾初期的降温和后期的升温现象并不突出,地气温差也没有特定的变化规律,仅有部分个例与锋面大雾情况一致。