2000年以来广东省经济极化时空演变

选择崔-王指数、变异系数和空间自相关等3种方法,以地级市为基本评价单元,对2000年以来广东省的经济极化的时空演变进行了分析。研究表明：（1）广东省经济极化程度呈上升趋势;（2）2000以来,广东省极化现象明显,但是经济总量的极化现象大于人均经济总量;（3）广东省人均GDP和GDP的Moran＇s I均为正值且呈现增大趋势,经济空间集聚程度呈增大趋势,但是人均GDP的空间集聚程度大于GDP;（4）从局部空间自相关关系来看,广东省经济极化格局2000年以来处于稳定状态。     

清代江苏省干湿时空特征分析

通过对清代江苏省干湿文献资料的整理,建立干湿指数序列,结合频次分析、滑动平均、滑动t检验、小波分析和聚类分析等方法,对干湿时空分布特征进行了分析。结果表明:1850年前涝灾较严重,之后涝灾相对减少;集中发生旱灾的阶段为1701-1721年、1768-1786年和1856-1864年;在10a尺度上检测出干湿变化存在5个跃变事件;干湿序列存在明显的8~11a、18a、30a、40a和100a左右周期;32.5°N以北为涝灾多发区,以南为旱灾多发区,且冷期时旱灾区域较小,暖期时旱灾区域较大。     

1972～2011年期间艾比湖面积变化研究

以8期Landset TM/ETM+遥感影像为数据源,利用归一化水指数,用地理信息系统相关软件,提取新疆艾比湖水域面积;利用湖泊面积动态模型和质心偏移模型,研究艾比湖的动态变化。结果表明,8个时期艾比湖面积在不断萎缩,湖泊总面积从1972年的583.14 km2减少到2011年的468.11 km2,缩小了19.73%;湖泊质心向东南方向偏移了1.23 km,表明艾比湖在退化。     

1981—2010年台湾热不适指数之时空特征

本研究分析1981—2010年间台湾地区生物气象不适指数（Discomfort Index,DI）在空间上的分布及时间上变化的趋势,结果显示不适指数的区域差异及时间上变化和趋势均相当明显。以月平均来看,台湾主要都市有将近半年的不舒适时间（DI≥24）,而夏季7—8月份主要都市地区更达到极度不舒适的程度（DI≥27）。海拔〉600 m的山区全年的生物气象环境皆属于舒适的范围。1981—2010年全年DI≥24及DI≥27日数的分析结果显示,30年间台湾中南部都市不舒适和极端不舒适日数皆有显著增加的趋势,北部的都市则没有明显的变化,东部地区几个都市则没有一致的结果。夏季7—8月份每日主要都市气候极端不舒适（DI≥27）的状况由8：00开始一直持续至晚上18：00,而12：00—13：00甚至接近热逆压（DI≥29）的等级,对人体健康可能造成危害。此外30年间大多数测站从夜间至清晨,不适指数皆呈现上升的趋势,使得夏季的不舒适的时间延长同时不舒适的程度加剧。气候变迁可能导致人类生物气象环境的变化,对处于热带及副热带气候交界,且有剧烈地形变化的台湾,持续观察环境舒适程度的变动,以及在数据可获得条件下再深入比较不同指数的应用性,是极具潜力而值得努力的研究方向。     

中国夏季和冬季极端干旱年代际变化及成因分析

依据1961～2009年中国区域540个气象站的夏、冬季气温和降水数据,首先采用气候变化趋势转折判别模型（简称PLFIM）分析了中国区域8个分区夏、冬季气温和降水的年代际变化,而后利用PDSI干旱指数研究了夏、冬季极端干旱在年代际尺度上的时空变化特征及其成因。结果表明:1961～2009年中国夏季极端干旱发生率北方大于南方,冬季则为在东部多而在西部少。夏季和冬季极端干旱发生概率在最后一次年代际转折后都呈增加趋势。在区域尺度上,夏季东北、华北和西北地区增加明显,冬季东北、华北、华南、西南地区增加显著。其中,降水在20世纪90年代以前的极端干旱变化中起主导作用,而后由于气候变暖所引起的极端干旱增加趋势逐渐增大,与降水变化的作用相互叠加。     

Valuation of lake and marsh wetlands ecosystem services in China

Wetlands are highly productive natural ecosystems, providing valuable goods and services. There is growing interest in transferring ecosystem service value from the existing wetlands studied to other wetlands ecosystems at a large geographic scale. The benefit transfer method uses the known values from wetlands to predict the value of other wetland sites. This methodology requires only limited time and resources. The present study calculated the value of the ecological services provided by lake and marsh wetlands in China in terms of biodiversity indices, water quality indices and economic indices. Basic data on wetlands were obtained through remote sensing images. The results show that: 1) The total ecosystem service value of the lake and marsh wetlands in 2008 was calculated to be 8.1841 × 1010 United States Dollars(USD), with the marsh and lake wetlands contributing 5.6329 × 1010 and 2.5512 × 1010 USD, respectively. Values of marsh ecosystem service were concentrated in Heilongjiang Province(2.5516 × 1010 USD), Qinghai Province(1.2014 × 1010 USD), and Inner Mongolia Autonomous Region(1.1884 × 1010 USD). The value of the lakes were concentrated in Tibet Autonomous Region(6.223 × 109 USD), Heilongjiang(5.810 × 109 USD), and Qinghai(5.500 × 109 USD). 2) Waste treatment and climate regulation services contributed to 26.29% and 24.74% respectively, of the total ecosystem service value of the marsh wetlands. Hydrological regulation and waste treatment contributed to 41.39% and 32.75%, respectively, of the total ecosystem service value of the lake wetlands. 3) The total ecological service value of the lake and marsh wetlands was 54.64% of the total service value of natural grassland ecosystems and 30.34% of the total service value of forests ecosystems in China.     

Seasonal Variations in Phytoplankton Community Structure in the Sanggou,Ailian, and Lidao Bays

The seasonal variations in phytoplankton community structure were investigated for the Sanggou Bay （SGB） and the adjacent Ailian Bay （ALB） and Lidao Bay （LDB） in Shandong Peninsula,eastern China.The species composition and cell abundance of phytoplankton in the bay waters in spring （April 2011）,summer （August 2011）,autumn （October 2011）,and winter （January 2012） were examined using the Uterm6hl method.A total of 80 taxa of phytoplankton that belong to 39 genera of 3 phyla were identified.These included 64 species of 30 genera in the Phylum Bacillariophyta,13 species of 8 genera in the Phylum Dinophyta,and 3 species of 1 genus in the Phylum Chrysophyta.During the four seasons,the number of phytoplankton species （43） was the highest in spring,followed by summer and autumn （40）,and the lowest number ofphytoplankton species （35） was found in winter.Diatoms,especially Paralia sulcata （Ehrenberg） Cleve and Coscinodiscus oculus-iridis Ehrenberg,were predominant in the phytoplankton community throughout the study period,whereas the dominance of dinoflagellate appeared in summer only.The maximum cell abundance of phytoplankton was detected in summer （average 8.08 × 103 cells L-1） whereas their minimum abundance was found in autumn （average 2.60 x 103 cellsL-1）.The phytoplankton abundance was generally higher in the outer bay than in the inner bay in spring and autumn.In summer,the phytoplankton cells were mainly concentrated in the south of inner SGB,with peak abundance observed along the western coast.In winter,the distribution of phytoplankton cells showed 3 patches,with peak abundance along the western coast as well.On seasonal average,the Shannon-Wiener diversity indices of phytoplankton community ranged from 1.17 to 1.78 （autumn 〉 summer 〉 spring 〉 winter）,and the Pielou＇s evenness indices of phytoplankton ranged from 0.45 to 0.65 （autumn 〉 spring 〉 summer〉 winter）.According to the results of canonical correspondence analysis,phosphate level w     

Assimilating the LAI Data to the VEGAS Model Using the Local Ensemble Transform Kalman Filter: An Observing System Simulation Experiment

Information on the spatial and temporal pat- terns of surface carbon flux is crucial to understanding of source/sink mechanisms and projection of future atmospheric CO2 concentrations and climate. This study presents the construction and implementation of a terrestrial carbon cycle data assimilation system based on a dynamic vegetation and terrestrial carbon model Vegetation-Global-Atmosphere-Soil （VEGAS） with an advanced assimilation algorithm, the local ensemble transform Kalman filter （LETKF, hereafter LETKF-VEGAS）. An observing system simulation experiment （OSSE） framework was designed to evaluate the reliability of this system, and numerical experiments conducted by the OSSE using leaf area index （LAI） observations suggest that the LETKF -VEGAS can improve the estimations of leaf carbon pool and LAI significantly, with reduced root mean square errors and increased correlation coefficients with true values, as compared to a control run without assimilation. Furthermore, the LETKF-VEGAS has the potential to provide more accurate estimations of the net primary productivity （NPP） and carbon flux to atmosphere （CFta）.     

资料均一化对沈阳站气温趋势和城市化偏差分析的影响

利用国家气象信息中心2013年发布的逐日均一化气温资料,对沈阳站资料均一化处理前后平均气温和极端气温指数序列的线性趋势及其城市化影响偏差进行了比较评价。结果表明:1)资料均一化处理对日最高气温及其衍生的极端气温指数序列趋势估计的影响较弱,但对日最低气温及其衍生的极端气温指数序列趋势估计具有显著影响。2)经资料均一化处理后,平均气温序列中的城市化影响偏差有所增大,平均最低气温序列中的城市化影响偏差增大尤其明显;与冷事件有关的极端气温指数序列的城市化影响偏差数值有所减小,与暖事件有关的极端气温指数序列的城市化影响偏差数值有所增加。3)资料均一化处理有效纠正了因迁站等原因造成的地面气温观测记录中的非均一性,但却在很大程度上还原了城市站地面气温观测记录中的城市化影响偏差。     

乌鲁木齐一次持续空气重污染过程气象成因分析

本文对乌鲁木齐市2010年12月28日至2011年1月16日出现的一次典型持续重空气污染过程的天气形势和主要气象要素进行了分析。结果表明:大气环流背景和低空逆温层的生消与大气污染状况有很好的关联性。傍晚到夜间多稳定大气层结及以小风或静风为主的地面风场特征易促进污染性天气的发生。在出现接地时,最易出现污染天气。空气污染指数与逆温强度和近地层大气逆温层底高关系密切,逆温层顶高在500~1000m时,利于大气污染的形成。