基于景观格局变化的海岸带生态风险评价——以辽宁省瓦房店市为例

文章利用RS和GIS技术手段对辽宁省瓦房店市1990—2015年的变迁过程进行监测,得出各历史时期的土地利用变化信息。将各类土地利用信息与景观生态学相结合,利用景观格局破碎度、景观分离度、景观优势度作为指标构建景观损失指数,并利用景观组分的面积比重构建海岸带生态风险指数。基于ArcGIS和Fragstats软件平台,通过空间采样和插值方法得到区域生态风险的空间分布,据此重构了瓦房店市1990—2015年的生态风险值变化过程。监测表明,1990—2015年期间,耕地、林地和滩涂呈减少趋势,水域和建设用地逐年增加,其他类型变化幅度不大。虽然耕地所占总面积比例由45.37%减少至37.23%,但一直是瓦房店最主要的景观。25年间瓦房店生态安全总体呈下降态势,1990—2015年6时段的生态风险年平均值分别为0.211 9、0.200 3、0.203 2、0.194 9、0.209 7和0.209 1。在时间维度,1990—2005年和2010—2015年生态安全度下降明显;在空间维度,瓦房店市海岸带的李官镇-三台满族乡和谢屯镇-炮台镇的生态风险度高,西杨乡、东岗镇和驼山乡生态风险由极高降为高或中,生态安全度有所提高。研究表明,人口和社会经济发展是影响瓦房店市景观格局变化的主要因素,该区域未来海岸带要实现可持续开发必须要进行科学的规划。     

基于模糊决策理论的重力辅助导航区域选择方法

针对传统重力辅助导航区域选择方法仅利用单一评价指标所导致的评价结果不全面这一缺陷,提出一种基于模糊决策的多指标综合选取方法。首先,应用该方法计算目标区域重力异常的标准差、粗糙度、相关系数、重力信息熵和重力坡度等表征重力特征的统计参量;然后,利用模糊决策理论方法求解出指标的隶属度矩阵和权阵,得到区域总的评价指数;最后,依据总评价指数进行匹配区选择。仿真结果表明,本方法具有较好的可靠性,评价指数高的区域,其匹配效果更好。     

海空重力测量及应用技术研究进展与展望(四):数值模型构建与综合应用技术

分析总结了海空重力测量数据向上和向下延拓技术的研究现状及发展方向,简要论述了海空重力测量多源数据融合处理技术的研究动态及发展前景,分析讨论了海空重力测量数据应用于地球外部重力场赋值和大地水准面精化技术的研究进展及发展思路,为海空重力测量数值建模与数据综合应用技术的未来发展提供参考。     

曼氏血吸虫宿主藁杆双脐螺与几种扁蜷螺形态解剖学比较

曼氏血吸虫中间宿主螺藁杆双脐螺和其他3种隶属扁蜷螺科的吸虫及线虫中间宿主螺,其形态极为相似,缺乏分类学资料,比较几种扁蜷螺的形态及生殖系统构造,明确其分类学特征,能为监测及防控部门准确鉴定物种提供依据。电子数显卡尺测量所有样本螺壳参数;解剖4种扁蜷螺生殖系统并绘图;扫描电镜观察齿舌形态。方差分析表明,4种扁蜷螺壳高(H)和直径(D)比值差异显著(F=64.171,P0.01)。4种扁蜷螺齿舌均为中央齿1列,双齿型,但中央齿齿尖形态、侧齿及缘齿列数、齿尖数量及形态等依种类不同均有差异。研究结果表明不同种的齿舌形态是重要鉴别特征之一。生殖系统阴茎复合体构造在属间差异明显,种间较为相似(旋螺属的凸旋螺、小旋螺)。尽管4种扁蜷螺贝壳形态较为相似,但壳高(H)和直径(D)比值、齿舌列数、齿尖以及生殖系统的阴茎复合体构造等特征,对入侵物种藁杆双脐螺和中国几种常见扁蜷螺的准确鉴定有重要价值。     

菲律宾海北部四国海盆全新世沉积物源分析

对IODP333航次四国海盆北部地区C0011站位表层样品进行粒度和Sr-Nd同位素分析,并与前人发表的邻近海域同位素数据进行比较。经分离自生碳酸盐组分,四国海盆全新世沉积物呈现较好的陆源、火山源二端元组分特征。从地理位置看,四国海盆北部主要物质来源包括伊豆-小笠原海脊火山物质、日本列岛西南部的混合型沉积物以及由西向风或河流入海洋流输送而来的亚洲陆地沉积物,且日本列岛西南部对于该区域物质贡献最大。对四国海盆北部而言,与海盆中部沉积及日本海沉积相比,源自亚洲大陆的碎屑沉积物具有更多的贡献。沉积物中87Sr/86Sr与εNd、平均粒径的负相关关系反映了沉积物中陆源物质的相对贡献按时间顺序呈现增加、减小、增加、减少的多周期变化趋势。     

历次核试验进入海洋的~(137)Cs对中国近海影响的模拟研究

1945年以来,世界各主要核国家进行了数千次核试验,这些核试验产生的绝大部分放射性物质通过多种途径进入海洋,对海洋环境造成放射性污染。本文建立了一个准全球海洋的放射性物质输运和扩散数值模式,通过数值模拟手段评估了历史核试验释放的放射性物质137 Cs对中国近海海洋环境的影响。本文借助前人工作评估了核试验释放137Cs进入海洋的途径和总量;通过比较模拟结果与观测资料,表明本文建立的放射性物质模式能够较好地模拟出137Cs在中国近海及其邻近海域的分布情况和随时间演变特征;模拟结果表明中国近海里的137Cs浓度在20世纪50年代中期达到最大,其中吕宋海峡海域137Cs浓度最高,达80.99Bq/m3;进一步分析了2011年3月份日本福岛核事故前中国近海137Cs浓度分布状况,2011年整个中国近海137Cs浓度介于1.0~1.6Bq/m3间,且其浓度垂向分布较均匀,相对封闭的南海浓度略高于其他海域。     

Effect of ocean acidification on coastal phytoplankton composition and accompanying organic nitrogen production

The effect of ocean acidification, caused by the increase in pCO₂ in seawater, on phytoplankton population and on related organic nitrogen production was experimentally examined by use of a natural coastal microbial population. pCO₂ and pH were controlled by aeration with air in which pCO₂ was at the current level (control), for which ambient air was used, and with air in which pCO₂ was ??800?? and ??1200?? ppm, in 500-L culture vessels. The experiment was continued for 15?days after addition of the inorganic nutrients such as nitrate, phosphate, and silicate. During most of the experimental period, a minor increase in phytoplankton biomass was noted, probably because of low irradiance, an increase in phytoplankton biomass was observed at the end of the experiment. Flow cytometric and microscopic observations revealed that this increase was because of Chrysochromulina sp. (Haptophyceae). The growth of Chrysochromulina sp. was most obvious in the control vessel, and tended to be obscured by increasing pCO₂ (decrease in pH), indicating the possibility that ocean acidification inhibits the growth of specific phytoplankton groups, for example Chrysochromulina sp. Production of particulate organic nitrogen (PON), determined by the ¹⁵N tracer method, also diminished under acidified conditions compared with that at the current level.     

基于能量法的大直径超长钢管桩溜桩问题分析

海洋桩平台采用大直径超长桩,由于桩、锤的重量很大,沉桩过程中经常发生溜桩现象。因此为了便于打桩控制,判断溜桩的范围是非常必要的。结合实际工程对溜桩的过程和发生机理进行了探讨;利用PCPT原位测量资料,基于能量法建立了判断溜桩范围的分析计算方法。针对南海油田典型的平台桩沉桩过程中的溜桩问题进行了分析计算,验证了所提出的方法的合理性,可供桩设计以及沉桩施工参考。     

An artificial neural network-based response surface method for reliability analyses of <Emphasis Type="Italic">c</Emphasis>-φ slopes with spatially variable soil

This paper presents an artificial neural network (ANN)-based response surface method that can be used to predict the failure probability of c-φ slopes with spatially variable soil. In this method, the Latin hypercube sampling technique is adopted to generate input datasets for establishing an ANN model; the random finite element method is then utilized to calculate the corresponding output datasets considering the spatial variability of soil properties; and finally, an ANN model is trained to construct the response surface of failure probability and obtain an approximate function that incorporates the relevant variables. The results of the illustrated example indicate that the proposed method provides credible and accurate estimations of failure probability. As a result, the obtained approximate function can be used as an alternative to the specific analysis process in c-φ slope reliability analyses.     

FIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project

We introduced the Coupled Model Intercomparison Project Phase 6 (CMIP6) Ocean Model Intercomparison Project CORE2-forced (OMIP-1) experiment by using the First Institute of Oceanography Earth System Model version 2.0 (FIO-ESM v2.0), and comprehensively evaluated the simulation results. Unlike other OMIP models, FIO-ESM v2.0 includes a coupled ocean surface wave component model that takes into account non-breaking surface wave-induced vertical mixing in the ocean and effect of surface wave Stokes drift on air-sea momentum and heat fluxes in the climate system. A sub-layer sea surface temperature (SST) diurnal cycle parameterization was also employed to take into account effect of SST diurnal cycle on air-sea heat ?uxes to improve simulations of air-sea interactions. Evaluations show that mean values and long-term trends of significant wave height were adequately reproduced in the FIO-ESM v2.0 OMIP-1 simulations, and there is a reasonable fit between the SST diurnal cycle obtained from in situ observations and that parameterized by FIO-ESM v2.0. Evaluations of model drift, temperature, salinity, mixed layer depth, and the Atlantic Meridional Overturning Circulation show that the model performs well in the FIO-ESM v2.0 OMIP-1 simulation. However, the summer sea ice extent of the Arctic and Antarctic is underestimated.