Characteristics of sea ice kinematics from the marginal ice zone to the packed ice zone observed by buoys deployed during the 9th Chinese Arctic Expedition

Sea ice growth and consolidation play a significant role in heat and momentum exchange between the atmosphere and the ocean. However, few in situ observations of sea ice kinematics have been reported owing to difficulties of deployment of buoys in the marginal ice zone (MIZ). To investigate the characteristics of sea ice kinematics from MIZ to packed ice zone (PIZ), eight drifting buoys designed by Taiyuan University of Technology were deployed in the open water at the ice edge of the Canadian Basin. Sea ice near the buoy constantly increased as the buoy drifted, and the kinematics of the buoy changed as the buoy was frozen into the ice. This process can be determined using sea ice concentration, sea skin temperature, and drift speed of buoy together. Sea ice concentration data showed that buoys entered the PIZ in mid-October as the ice grew and consolidated around the buoys, with high amplitude, high frequency buoy motions almost ceasing. Our results confirmed that good correlation coefficient in monthly scale between buoy drift and the wind only happened in the ice zone. The correlation coefficient between buoys and wind was below 0.3 while the buoys were in open water. As buoys entered the ice zone, the buoy speed was normally distributed at wind speeds above 6 m/s. The buoy drifted mainly to the right of the wind within 45° at wind speeds above 8 m/s. During further consolidation of the ice in MIZ, the direct forcing on the ice through winds will be lessened. The correlation coefficient value increased to 0.9 in November, and gradually decreased to 0.7 in April.     

ArcFractal: An ArcGIS Add-In for Processing Geoscience Data Using Fractal/Multifractal Models

Natural Resources Research - Fractal and multifractal models, including the concentration-area (C–A) fractal model, spectrum-area (S–A) multifractal model, and local singularity...     

太平洋海域海平面变化的灰色系统分析

应用灰色系统理论，对太平洋海域４８个长期验潮站的月均海平面分别建立了ＧＭ（１，１）模型。ＧＭ（１，１）模型能较好地反映太平洋海域的海平面变化的趋势，它除了能给出连续的海平面变化速率外，同时能方便地给出海平面变化的加速率。模拟结果表明，在太平洋地壳均衡假设下，太平洋海域的月均海平面以平均速率０．１７ｃｍ／ａ上升。在太平洋海域所取的４８个长期验潮站中，有４０个站在加速上升，全部站的平均加速度为０．０００２９ｃｍ／ａ２。且加速率逐渐增大。当然这些加速率都很小，但作为一种普遍性的趋势，这已足以说明：太平洋海域的海平面在加速上升     

Influence of air-sea interaction on SSTA in different spacial scales

-In this paper, the factors for SSTA development in finite sea area of low latitudes are discussed with simpler linearized equations, According to the coupling conditions at the interface of atmosphere and ocean, we studied the horizontal scale relations of air-sea coupled system satisfying the dynamical and thermodynamical requirements, From the fluctuation viewpoint, the relation of horizontal scales and wave numbers are presented for a linear atmosphere-ocean coupled system with the same time scales. At last part of the paper, the state of fluctuations is examined for different sea scales under certain given atmospheric scale with a simpler two-layer coupled model, and some significant results obtained.     

全球变化影响下青岛海岸带地理环境的演变

在全球变化的影响下,近50多年来青岛海岸带地区的地理环境要素发生了许多超常的变化。其中,年平均气温1991-2002年比20世纪50年代上升了0．94℃,同期最冷月1月平均气温上升了2．18℃,≥10℃的天数由每年207．6d增至218．5d,近海年平均海水温度在20世纪60年代为13．45℃,而1991-2002年为14．20℃,上升了0．75℃。海岸沙滩侵蚀加剧,20世纪90年代以来灵山湾每年蚀退达7m;胶州湾面积由1952年的559km。缩减为2002年的382km^2;滨海漏湖湿地几乎全部消失。由于海岸带气候和水温的变暖使研究区动植物群落发生变化,如茶树从南方引中成功并形成产业,一些本来在长江三角洲地区越冬的鸟类（如大天鹅）已迁至山东半岛越冬;某些生活在温暖海洋中的海洋动物也频现青岛。     

莱州湾大型底栖动物群落结构及其动态变化特征

本文以莱州湾2009年夏季(8月)、秋季(10月)及2010年春季(5月)、夏季(8月)4个季节大型底栖动物资料为基础,对莱州湾大型底栖动物的种类组成、丰度、生物量、优势种进行了研究,同时与历史资料进行对比,探讨了莱州湾大型底栖动物的群落结构特征及动态变化。4个航次中共鉴定出大型底栖动物272种,其中包括环节动物多毛类122种,软体动物46种,甲壳动物64种,棘皮动物18种,鱼类9种,其他类13种。调查海域平均丰度为(1102.56 ± 216.32) ind./m², 多毛类在丰度上占绝对优势;平均生物量为(28.16 ± 8.45) g/m²,软体动物占据优势。丰度和生物量空间分布规律具有很强的相似性,低值区位于莱州湾西部黄河口邻近海域,高值区位于渤海中部海域。丰度和生物量季节变化明显,夏季最高,秋季其次,春季最低。多毛类不倒翁虫(Sternaspis sculata)、寡鳃齿吻沙蚕(Nephthys oligobranchia)、紫壳阿文蛤(Alvenius ojianus)等是莱州湾调查海域的优势种。通过与历史资料的对比发现,莱州湾大型底栖动物种类组成及优势种类出现小型化的趋势。     

长江口咸潮入侵变化特征及成因分析

本文基于海洋站潮位观测数据、海平面变化影响调查信息以及长江口水文站径流量数据等,重点分析了2009−2018年长江口咸潮入侵的变化特征及其影响因素,分析结果表明：(1)长江口咸潮入侵季节变化特征明显。咸潮一般从每年的9−10月开始入侵,翌年4−5月结束。3月咸潮入侵次数最多,达12次。2009−2018年,长江口咸潮入侵次数和咸潮持续时间均呈下降趋势,2009年长江口咸潮入侵次数最多,达13次,时间均发生在10月至翌年的4月;咸潮持续时间年际变化较大,2011年咸潮入侵持续时间最长,累计为55 d。2015−2018年,咸潮入侵次数和入侵持续时间均明显减少,2018年没有监测到咸潮入侵过程。(2) 1−4月,长江口处于季节性低海平面期,且同期径流量少,但是受东亚季风影响,持续的增水过程使得增减水−径流量综合影响指数明显偏高,其中1月、2月、3月的影响指数分别为1.5、1.9和1.6,该时段长江口的咸潮入侵过程主要受增减水的影响。5−7月,长江口径流量明显增加,海平面−径流量综合影响指数均小于0,径流的作用强于海水上溯。8月,长江口径流量开始下降,虽然季节海平面较高,但是长江口呈现明显的减水过程,海平面−径流量和增减水−径流量的综合影响指数分别为0.1和−1.6,基本不会发生咸潮入侵。9月,长江口处于季节高海平面期,并且以增水为主,海平面−径流量和增减水−径流量的综合影响指数较大,分别为1.2和1.0,易发生咸潮入侵。10月、11月长江口海平面−径流量的综合影响指数分别为1.5和0.8,径流影响弱于海水上溯,易发生咸潮入侵。(3) 2009−2018年发生的48次咸潮入侵过程有2/3恰逢天文大潮。在某些年份长江口沿海基础海平面偏高,若持续增水恰逢天文大潮,则加剧咸潮入侵的影响程度。     

Effects of Irregular Wave Groups on Pile Forces

The wave forces on 1, 2 and 4 vertical circular piles under the action of several wave trains of the same wave parameters, such as Hs,Tp and Mo, but different wave group factor GF are measured in the laboratory. After comparing these forces, it may be concluded that the mean and significant wave forces are almost of no difference for the wave trains with different GF. When GF is larger, the one-tenth of the wave froce extreme is slightly increased and the maximum wave force is much larger than the ones with smaller GF, to which attention must be paid in engineering practice.     

依兰盆地达连河组油页岩成矿模式及类型

提要：达连河油页岩含矿区位于黑龙江省依兰地区,该区是一个半地堑式断陷盆地。古近系达连河组为一个完整的三级层序,油页岩形成于水进体系域和高水位体系域发育时期。本文认为达连河组油页岩存在两种成矿模式,即湖泊-沼泽相油页岩成矿模式、浅湖相-半深湖相油页岩成矿模式;不同成矿类型油页岩分布于层序的不同体系域,古地貌型、沉积密集段型油页岩成矿常分布于水进体系域,沉积密集段型、气候型油页岩成矿位于高水位体系域。     

Tectonic Units Division of Crystalline Basement in the Tarim Basin, NW China

<正>By the geological investigation for crystalline basement outcrops in Northeast and northwest margins of Tarim Basin,we provide essential constrains interpreting the structure,petrology and age of the pre-Sinian basement.On the basis of interpretation for aeromagnetic anomalies,