三江平原气温降水变化分析——以建三江垦区为例

气温及降水与人类生产生活密切联系,其变化必然会对生态系统和社会经济等产生重大影响。利用三江平原建三江垦区15个农场气象站1965～2002年气温和降水资料,运用气候趋势系数和一元回归分析法进行气候变化分析。结果表明:近40年来本区气温呈显著上升趋势,平均气温以0.50℃/10a幅度升高,不同季节平均气温均呈上升趋势,且冬季增幅最大,达0.82℃/10a。气温升高存在显著的区域差异,最大的增温中心位于南部边缘,气温倾向率大于0.60℃/10a。降水趋势性变化不显著,但仍呈弱减少趋势,年降水量倾向率为-1.90mm/10a,四季降水量以秋季减少最为显著。在此基础上进行气候突变分析,结果表明气温突变出现在1987年,降水突变出现在1980年和1997年,但降水突变不明显。研究三江平原建三江垦区的气候变化对于保障区域粮食安全具有重要的指导意义。     

近2000年古里雅冰芯净积累量与南疆盆地南沿的干湿变化

利用1951-1991年古里雅冰芯净积累量、1951-2000年南疆盆地南沿的降水资料和1958-2000年NCEP/NCAR再分析的大气环流资料,讨论了它们之间的相互关系,并对其机理进行了初步分析,在此基础上建立了南疆盆地南沿近2000年高分辨率的干湿变化序列。     

Vulnerability of Kuwait coast to sea level rise

Assessing coastal vulnerability to sea level rise (SLR) at local and regional scales is a fundamental step for designing successful long-term coastal management plans. This study was thus designed to assess Kuwait coastal vulnerability to SLR at four scenarios (.5, 1, 1.5 and 2 m). Potential inundated areas and the number of people at risk were estimated based on these SLR scenarios. A coastal vulnerability index (CVI) map of Kuwait was then computed based on the lowest scenario using eight parameters: elevation, coastal slope, geomorphology, distance to 20-m isobath, population, land use, cultural heritage and transportation. The geographic distribution of inundated areas at an SLR of .5 m revealed that the northern islands of Kuwait and coastal areas along Kuwait Bay would be highly impacted, whereas the coastal area near Shuaibah Port was the most influenced among the southern coasts. Most of the coastal area exhibited a moderate vulnerability to SLR, especially the northern islands. This study presented an initial vulnerability assessment for Kuwait coasts to SLR, which can be extended with more variables. The integrated remote sensing and geographic information system methodology demonstrated in this study can be applied in similar studies elsewhere.     

利用树木年轮重建阿勒泰地区1572—2014年初夏平均温度

利用阿勒泰地区3个高海拔西伯利亚落叶松(Larix sibirica)采样点的树轮样本,建立树轮宽度区域标准化年表(DKH).通过相关普查发现,DKH年表与阿勒泰地区7个气象站当年6月平均温度显著相关,相关系数为0.705(P<0.00001),表明6月平均温度是影响树木年轮径向生长的主要气候限制因子.用DKH年表可较...     

Chironomids as indicators of climate change: a 100‐lake training set from a subarctic region of northern Sweden (Lapland)

Multivariate numerical analyses (DCA, CCA) were used to study the distribution of chironomids from surface sediments of 100 lakes spanning broad ecoclimatic conditions in northern Swedish Lapland. The study sites range from boreal forest to alpine tundra and are located in a region of relatively low human impact. Of the 19 environmental variables measured, ordination by CCA identified mean July air temperature as one of the most significant variables explaining the distribution and the abundance of chironomids. Lossonignition (LOI), maximum lake depth and mean January air temperature also accounted for significant variation in chironomid assemblages. A quantitative transfer function was created to estimate mean July air temperature from sedimentary chironomid assemblages using weightedaveraging partial least squares regression (WAPLS). The coefficient of determination was relatively high (r² = 0.65) with root mean squared error of prediction (RMSEP, based on jack-knifing) of 1.13 °C and maximum bias of 2.1 °C, indicating that chironomids can provide useful quantitative estimates of past changes in mean July air temperature. The paper focuses mainly on the relationship between chironomid composition and July air temperature, but the relationship to LOI and depth are also discussed.     

基于超像元词包特征和主动学习的高分遥感影像变化检测

为解决高分辨率遥感影像变化检测中存在底层特征缺乏语义信息、像元级的检测结果存在“椒盐”现象以及监督分类中样本标注自动化程度较低,本文提出一种基于超像元词包特征和主动学习的变化检测方法。首先采用熵率分割算法获取叠加影像的超像元对象;其次提取两期影像像元点对间的邻近相关影像特征（相关度、斜率和截距）和顾及邻域的纹理变化强度特征（均值、方差、同质性和相异性）,经线性组合作为像元点对的底层特征;然后基于像元点对底层特征利用BOW模型构建超像元词包特征,并采用一种改进标注策略的主动学习方法从无标记样本池中优选信息量较大的样本,且自动标注样本类别;最后训练分类器模型完成变化检测。通过选用2组不同地区的GF-2影像和Worldview-Ⅱ影像作为数据源进行实验,实验结果中2组数据集的F1分数分别为0.8714、0.8554,正确率分别为0.9148、0.9022,漏检率分别为0.1681、0.1868,误检率分别为0.0852、0.0978。结果表明,该法能有效识别变化区域、提高变化检测精度。此外,传统主动学习方法与改进标注策略的主动学习方法的学习曲线对比显示,改进的标注策略可在较低精度损失下,有效提高样本标注自动化程度。     

Reconstruction of sea surface dimethylsulfide in the North Pacific during 1970s to 2000s

We proposed an empirical equation of sea surface dimethylsulfide (DMS, nM) using sea surface temperature (SST, K), sea surface nitrate (SSN, μM) and latitude (L, °N) to reconstruct the sea surface flux of DMS over the North Pacific between 25°N and 55°N: ln DMS = 0.06346 · SST − 0.1210 · SSN − 14.11 · cos(L) − 6.278 (R² = 0.63, p < 0.0001). Applying our algorithm to climatological hydrographic data in the North Pacific, we reconstructed the climatological distributions of DMS and its flux between 25 °N and 55 °N. DMS generally increased eastward and northward, and DMS in the northeastern region became to 2–5 times as large as that in the southwestern region. DMS in the later half of the year was 2–4 times as large as that in the first half of the year. Moreover, applying our algorithm to hydrographic time series datasets in the western North Pacific from 1971 to 2000, we found that DMS in the last three decades has shown linear increasing trends of 0.03 ± 0.01 nM year^− 1 in the subpolar region, and 0.01 ± 0.001 nM year^− 1 in the subtropical region, indicating that the annual flux of DMS from sea to air has increased by 1.9–4.8 μmol m^− 2 year^− 1. The linear increase was consistent with the annual rate of increase of 1% of the climatological averaged flux in the western North Pacific in the last three decades.     

青海湖湖东沙地风沙沉积物的粒度特征

通过对青海湖湖东沙地克土沙区不同类型沙丘地表沉积物粒度特征的水平变化和0～20 cm垂直变化的分析,可知自然固定沙丘的表层沉积物以细砂为主,其他沙丘以中砂为主,粒度参数随着地形起伏有不同的变化特征;随着深度的增加,粗颗粒逐渐增多,细颗粒逐渐减少,粒度参数随着深度的增加呈波动减小的趋势。通过比较分析,可得出人工治理措施对沙地地表环境的影响较大,能促进细颗粒物质的沉积,有效减少地表的风蚀量。     

近60年来长江河口河势变化及其对水动力和盐水入侵的影响Ⅱ.水动力

本文基于本系列论文Ⅰ中数值化的长江河口20世纪50年代、70年代海图获得的岸线和水深资料,以及2012年水深实测资料,设置不同年代模式网格,考虑径流量、潮汐和风应力作用,建立长江河口水动力和盐水入侵三维数值模式,模拟和分析不同年代潮汐潮流、单宽余通量、分汊口水通量和分流比,及其河势变化对它们的影响。最大潮差在3个年代间的变化主要在北支区域,50年代至70年代,北支潮差减小,减小区域集中在北支中段,2012年相比70年代北支潮差增大。单宽水通量在50年代北港大于南港,北支下段向上游输运、上段量值较小,在70年代南港大于北港,北支下段量值较小、上段向下游,在2012年南北港水通量较为接近,北港稍大,整个北支水通量向上游。定量给出了50、70年代和2012年南北支、南北港大潮期间和小潮期间涨潮、落潮和净水量和分流比,结合河势变化分析了不同年代间的变化原因。     

南海土台风强度变化特征分析

南海土台风,是在南海局地形成的热带气旋的统称。本文选用1949—2014年CMA-STI 整编的“热带气旋最佳路径数据集”,对研究区域范围(5°～22.5°N、105°～120.5°E)的南海土台风强度及强度变化特征进行了探讨。结果表明:(1)南海土台风强度随时间的变化曲线呈近似对称的“漏斗状”,即强度从弱—强—弱的变化,在最大强度前后6 h时域内强度变化最显著,夏季台风强度变化比冬季快。(2)土台风强度存在1个增强中心,位于海南岛以东的南海北部近海区域,在中国华南沿岸陆区则减弱明显;台风增强/减弱区域随着季节变化而南北移动,夏季主要在北部近海/近岸区域18°~23°N附近,冬季随台风活动南移至10~18°N附近靠近西部近海/近岸区域,且冬季的平均减弱速率较夏季大。(3)东向移动的土台风最大强度一般比西向移动的强,其中夏季东移台风平均强度最大,冬季西移台风强度最小;夏季东移台风最大强度前后强度变化最快,冬季西移台风变化最慢;夏季西移台风强度分布呈北强南弱、东移台风强度呈东北向带状分布,冬季东、西移台风强度分布皆呈西强东弱,这种空间分布差异,主要是台风移动路径随季节变化而形成的。(4)海上活动时间的长短与台风最大强度的大小、变化幅度成正比。海上活动时间较短的台风,以西行路径为主,强度的分布较均匀,平均强度较弱,增强/减弱中心较多而小,增强/减弱速率较慢;反之,海上活动时间较长的台风,以东行路径居多,强度的分布呈多中心状,平均强度较强,增强/减弱中心较集中且广阔,增强/减弱速率较快。