“资源一号”卫星星内粒子探测器对扰动事件的观测

本文比较了在太阳平静和扰动时期“资源一号”卫星星内粒子探测器对卫星舱内高能粒子的观测结果，发现在平静时期观测结果很好地反映了辐射带高能粒子在该高度上的分布情况.在扰动时期，粒子探测器观测到高能粒子分布出现重大变化，本文进一步讨论了影响高能粒子在近地空间分布的可能因素.     

初论塔里木盆地砂岩储层中SiO2的溶蚀类型及其机理

根据显微镜观察,塔里木盆地砂岩储层中SiO₂溶蚀分为石英颗粒边缘溶蚀、次生加大边溶蚀和交代溶蚀。通过对石英颗粒和加大边溶蚀特征及其与粘土矿物组合、与碳酸盐胶结、与古油藏破坏以及现今油田水中Si离子含量等关系的综合研究,这些SiO₂溶蚀可能存在两种机理:碱性环境下的SiO₂溶蚀和有机酸(烃类微生物降解产生的有机酸以及有机质成熟产生的有机酸)引起的SiO₂溶蚀。第一种溶蚀类型较普遍,但程度微弱;第二种溶蚀类型主要发生在古油藏破坏和有机质成熟过程中,这种溶蚀较强烈但很局限。SiO₂的溶蚀作用可以为油气提供一定量的储集空间,这对于深埋的时代较老的志留-泥盆系储层具有重要意义。在古油藏中尽管烃类已经充注储层孔隙,但只要孔隙中存在有机酸或碱性孔隙水,SiO₂的溶蚀和石英次生加大的胶结等作用仍可进行。     

江汉平原粮食产量空间格局分析

基于湖北省第一次地理国情普查数据、基础地理信息数据和统计年鉴等资料,采用洛伦兹曲线、Moran指数等对江汉平原典型4个粮食主产区监利县、洪湖市、仙桃市、潜江市的粮食产量空间格局进行了分析和研究。研究表明:①洪湖市耕地资源与粮食产量间的对应关系较为平等,粮食单产稳定,粮食生产空间聚集显著;②监利县、潜江市与仙桃市的耕地、粮食产量表现出极弱空间相关性或无相关性,粮食生产能力相对较差,耕地资源及产量未表现出空间聚集优势。该结论可为农业部门制定农业生产计划和发展规划提供良好的数据支撑,为地理国情普查成果的应用提供借鉴。     

柴达木盆地东缘晚更新世气候变化的（古）土壤发生记录

柴达木盆地东缘典型剖面（古）土壤及其黄土线质的宏观特征和理化分析表明,本区晚更新世以来气候曾有几次较大的波动,反映了全球冰量影响的气候波动以及东亚季风气候的强弱变化特征。揭示出气候变化过程中温度和降水并不同步,温度主要受地球轨道变化引起的太阳辐射的影响;降水则主要取决于冬、夏季风的浊弱对比关系,夏季风盛行时,降水丰沛。间冰段古土壤Ｓｍ的土壤发生特征和强度,揭示了除低温引起的蒸发减少外,降水丰沛也是     

基坑支护结构施工技术要点与工程实例分析(下)

４地下连续墙施工技术方法４．１要点（１）导墙的修筑精度（宽度、平直度、垂直度和标高等）和强度对成槽施工质量有直接影响,高质量的导墙是高质量槽段的基础,常用的导墙形式如图２所示。图２导墙断面形式示意图（ａ）板型;（ｂ）Ｌ型;（ｃ）倒Ｌ型;（ｄ）槽型导墙...     

Simulating CO2 flux of three different ecosystems in ChinaFLUX based on artificial neural networks

The nonlinearity of the relationship between CO₂ flux and other micrometeorological variables flux parameters limits the applicability of carbon flux models to accurately estimate the flux dynamics. However, the need for carbon dioxide (CO₂) estimations covering larger areas and the limitations of the point eddy covariance technique to address this requirement necessitates the modeling of CO₂ flux from other micrometeorological variables. Artificial neural networks (ANN) are used because of their power to fit highly nonlinear relations between input and output variables without explaining the nature of the phenomena. This paper applied a multilayer perception ANN technique with error back propagation algorithm to simulate CO₂ flux on three different ecosystems (forest, grassland and cropland) in ChinaFLUX. Energy flux (net radiation, latent heat, sensible heat and soil heat flux) and temperature (air and soil) and soil moisture were used to train the ANN and predict the CO₂ flux. Diurnal half-hourly fluxes data of observations from June to August in 2003 were divided into training, validating and testing. Results of the CO₂ flux simulation show that the technique can successfully predict the observed values with R ² value between 0.75 and 0.866. It is also found that the soil moisture could not improve the simulative accuracy without water stress. The analysis of the contribution of input variables in ANN shows that the ANN is not a black box model, it can tell us about the controlling parameters of NEE in different ecosystems and micrometeorological environment. The results indicate the ANN is not only a reliable, efficient technique to estimate regional or global CO₂ flux from point measurements and understand the spatiotemporal budget of the CO₂ fluxes, but also can identify the relations between the CO₂ flux and micrometeorological variables.

     

中国东海海平面长期变化与趋势研究

From the analyses of the satellite altimeter Maps of Sea Level Anomaly(MSLA) data, tidal gauge sea level data and historical sea level data, this paper investigates the long-term sea level variability in the East China Sea(ECS).Based on the correlation analysis, we calculate the correlation coefficient between tidal gauge and the closest MSLA grid point, then generate the map of correlation coefficient of the entire ECS. The results show that the satellite altimeter MSLA data is effective to observe coastal sea level variability. An important finding is that from map of correlation coefficient we can identify the Kuroshio. The existence of Kuroshio decreases the correlation between coastal and the Pacific sea level. Kurishio likes a barrier or a wall, which blocks the effect of the Pacific and the global change. Moreover, coastal sea level in the ECS is mainly associated with local systems rather than global change. In order to calculate the long-term sea level variability trend, the empirical mode decomposition(EMD) method is applied to derive the trend on each MSLA grid point in the entire ECS. According to the 2-D distribution of the trend and rising rate, the sea level on the right side of the axis of Kuroshio rise faster than in its left side. This result supports the barrier effect of Kuroshio in the ECS. For the entire ECS, the average sea level rose 45.0 mm between 1993 and 2010, with a rising rate of(2.5±0.4) mm/a which is slower than global average.The relatively slower sea level rising rate further proves that sea level rise in the ECS has less response to global change due to its own local system effect.     

裂片石莼营养价值的评价及其多糖制备的初步研究

对采自福建的野生裂片石莼(Ulva fasciata)进行了分类学鉴定和营养价值评估;采用微波加热新方法,进一步研究了裂片石莼多糖提取工艺。研究结果表明,裂片石莼的总糖、粗蛋白质、总氨基酸和总脂含量分别为34.38%、27.60%、25.20%、11.70%;其必需氨基酸含量为10.0%,氨基酸比值系数分(SRC)=79.77;裂片石莼的重金属元素含量达到国家海藻制品的限量标准。研究结果还表明,通过正交实验优化微波加热提取工艺,与传统加热提取工艺相比,裂片石莼多糖的得率提高了21.35%,而耗能降低了58.51%。     

基于GeoTrellis的海量栅格数据计算分布式系统建设

为实现海量栅格数据的分布式处理,本文基于Hadoop和Spark分布式计算技术,结合开源框架GeoTrellis地理处理引擎,设计并实现了一个海量栅格数据的分布式计算系统.重点探讨了海量栅格数据分布式存储和计算架构,并基于GeoTrellis设计并实现了该分布式计算系统.最后,以10 m分辨率的全球地表覆盖地图对系统计算性能进行测试,结果表明:基于GeoTrellis开发的分布式计算系统能够有效地提升海量栅格数据的处理能力.