AMSR-E sea surface temperature (SST) charts enhancement

Microwave satellite images used for retrieving sea surface temperatures often have such distortions as noise and blurring of the thermal fronts. An image processing approach based on the Mumford-Shah model of optimal image approximation is considered for the solution to this problem. We divide images into flat areas and frontal zones, and then process these areas separately. Image fragmentation is based on automatic detection of the thermal front lines. SST enhancement in frontal zones is achieved by using image deconvolution methods. It has been shown that SST errors in high gradient areas reach 1–3 °C. The proposed approach can decrease this discrepancy.     

Seasonal variations in the nitrogen isotopic composition of settling particles at station K2 in the western subarctic North Pacific

Intensive observations using hydrographical cruises and moored sediment trap deployments during 2010 and 2012 at station K2 in the North Pacific Western Subarctic Gyre (WSG) revealed seasonal changes in δ ¹⁵N of both suspended and settling particles. Suspended particles (SUS) were collected from depths between the surface and 200 m; settling particles by drifting sediment traps (DST; 100–200 m) and moored sediment traps (MST; 200 and 500 m). All particles showed higher δ ¹⁵N values in winter and lower in summer, contrary to the expected by isotopic fractionation during phytoplankton nitrate consumption. We suggest that these observed isotopic patterns are due to ammonium consumption via light-controlled nitrification, which could induce variations in δ ¹⁵N(SUS) of 0.4–3.1 ‰ in the euphotic zone (EZ). The δ ¹⁵N(SUS) signature was reflected by δ ¹⁵N(DST) despite modifications during biogenic transformation from suspended particles in the EZ. δ ¹⁵N enrichment (average: 3.6 ‰) and the increase in C:N ratio (by 1.6) in settling particles suggests year-round contributions of metabolites from herbivorous zooplankton as well as TEPs produced by diatoms. Accordingly, seasonal δ ¹⁵N(DST) variations of 2.4–7.0 ‰ showed a significant correlation with primary productivity (PP) at K2. By applying the observed δ ¹⁵N(DST) vs. PP regression to δ ¹⁵N(MST) of 1.9–8.0 ‰, we constructed the first annual time-series of PP changes in the WSG. This new approach to estimate productivity can be a powerful tool for further understanding of the biological pump in the WSG, even though its validity needs to be examined carefully.     

Distribution of <Emphasis Type="Italic">Nemopilema nomurai</Emphasis> in the southwestern Sea of Japan related to meandering of the Tsushima Warm Current

We investigated the horizontal distribution of Nemopilema nomurai medusae using a midwater trawl in the southwestern Sea of Japan from September to October of each year from 2006 to 2012. Numerous medusae of this species found in 2006, 2007, and 2009 were mainly distributed far (>40 km) from the mainland of Japan in the western part of the survey area, but were distributed in the stations closest (<25 km) to the mainland in the eastern part, particularly in 2006 and 2009. These distribution patterns were associated with the path of the second branch of the Tsushima Warm Current (TWC) that flows offshore to the west of Oki Islands and usually approaches the mainland of Japan to the east of Oki Islands. Differences in jellyfish distribution across the survey periods were related to the distribution of the second branch being associated with types, position and intensity of eddies in the eastern part of the survey area. Hence, the formations of eddies and consequent variation in the path of the TWC would be responsible for transporting medusae from offshore to near the mainland to the east of Oki Islands. Individuals with large bells accumulated in the northwestern part of the survey area, where a cyclonic eddy was present downstream of the third branch of the TWC. This variation in bell size distribution may be ascribed to differences in the physical and/or biological factors among the three branches of the TWC.     

基于改进FCLS算法的南极海冰密集度估算及算法比较

海冰具有良好的热力隔绝效应,它通过影响海洋和大气的热交换进而影响全球的气候变化。海冰密集度是极区海冰研究的重要指标之一。为实现高空间分辨率多类型海冰密集度的估算,本文将亮温极化梯度率和光谱梯度率引入基于全约束最小二乘法(fully constrained least squares,FCLS)的海冰密集度估算方法,并利用南极海冰过程与气候计划(Antarctic Sea Ice Processes and Climate,ASPe Ct)对改进方法的精度进行验证,然后与NASA Team2(NT2)算法和ARTIST Sea Ice(ASI)算法获得的海冰密集度结果进行了对比分析。结果显示,3种算法中本研究的方法精度最高,全年均方差13.8%,偏差为-0.7%;改进的方法对多年冰的估算精度优于一年冰。     

浙江天目山自然保护区珍稀濒危植物及其利用与保护

天目山是浙江省珍稀濒危植物最丰富的地区，共有国家保护的珍稀濒危植物２５科、３４属、３７种，其中属二级保护１３种，三级保护２４种．论述了天目山珍稀濒危植物的区系特点、类型及地理分布，列举了它们的一些利用价值，最后提出了保护天目山珍稀濒危植物的一系列建议．     

基于土地利用变化的中国省域碳排放时空差异及碳补偿研究

选择中国30个省级行政区为研究单元,基于土地利用和能源消耗等数据,采用碳排放系数法,对2003~2016年中国土地利用碳源/汇进行计算,探究中国省域土地利用碳排放和碳吸收时空演变,并以碳盈亏时空分析为基础,通过生态补偿系数和经济贡献系数分析碳排放的差异性,以净碳排放量作为基准值进行碳补偿价值的研究。结果表明:① 研究期间碳排放总量和净碳排放量除在2015年出现小幅度下降现象,其余年度均呈现不断增加趋势;碳吸收总量呈现稳中有升的趋势。②土地利用碳吸收的主要载体是耕地和林地,碳汇资源空间差异明显,基本呈现西高东低的分布特征,多数省份在研究期内基本保持一致的碳吸收类型。③ 碳排放总量分布空间差异显著,且主要来自建设用地。④ 依据净碳排放量的区域差异,将其划分为高碳排放区、一般碳排放区、低碳排放区、碳汇区4种类型。⑤ 由于各省域碳补偿标准和净碳排放量的差异导致碳补偿价值区域差异明显。     

黔中开阳磷矿沉积区震旦纪陡山沱期定量岩相古地理重建*

磷矿的沉积和成矿与成磷期的古地理环境密切相关。本文首次将“单因素分析多因素综合作图法”运用于开阳地区震旦纪陡山沱期沉积型磷矿床的成矿分析和找矿预测上。通过选取陡山沱组及其各岩性段的地层厚度及磷矿层品位作为单因素,确定开阳地区古地理格局;结合地层岩性组合、沉积特征等多因素综合分析,恢复开阳地区成矿期沉积环境,编制陡山沱早期、中期和晚期岩相古地理图。根据定量岩相古地理重建结果,认为开阳地区陡山沱期整体处于南靠黔中古陆、地势南高北低、局部地形复杂的滨岸海滩沉积环境,其中临滨带为最有利成矿带,局部地形变化也会造成矿层厚度、品位的差异;矿层受到的水流冲蚀、暴露、淋滤及再沉积作用是导致矿石品位显著提升的关键因素。通过定量岩相古地理学精确还原成矿期古地理环境、解析多期次沉积成矿过程,对于确定磷矿控矿因素、构建找矿预测模型和预测矿体空间位置具有重要意义。     

全国地震速报信息共享与服务系统

介绍了国家地震台网与各个区域台网在地震速报时所用到的信息交换与共享平台——EQIM系统,以及该系统在国家地震台网的部署,尤其是在中国地震局新的速报技术规定下EQIM系统的运行机制等。     

云南水汞群体非均匀度异常与成组强震活动关系

阐述了一种前兆群体异常信息提取新方法前兆群体非均匀度的数学原理,并以云南水汞群体异常信息为例进行了具体计算。结果表明该方法以群体异常分布特征的变化为异常标准(ID≥1),达到异常即自动识别报警。该方法能克服个人经验的局限,易为他人进行检验,可成为本地区成组强震预测对应概率较高的新指标。     

海南岛“0810”特大暴雨物理量诊断及多普勒特征分析

应用常规观测、海口多普勒回波及NCEP1×1°再分析等资料,对2008年10月12～15日海南特大暴雨成因进行诊断分析,并揭示了暴雨过程中的多普勒回波特征。结果表明：导致海南岛产生强降水的主要原因是热带低压移动缓慢和弱冷空气的低层入侵;当冷暖空气交绥,大气温湿结构发生突变,θse面陡立造成对流系统斜压发展,激发位势不稳定能量释放。正差动假相当位温平流意味着低层暖湿空气的平流大于高层,加强了层结对流不稳定发展;在斜压扰动作用下,对流层中层正差动涡度平流和低压东侧的暖平流破坏了海南岛的准地转平衡,动力强迫和热力强迫共同作用激发了次级环流,导致暴雨区上空的垂直运动的发展,促使暴雨增强。充沛的水汽输送及水汽的强烈辐合,为暴雨发生的有利水汽条件。多普勒径向速度揭示了暴雨区低层冷平流高层暖平流、风向风速的垂直切变大的垂直结构以及持续性的强烈辐合等等特征,回波停滞和＂列车效应＂使降水增幅,降水回波的性质差异,可造成强降水区域分布的不同。