海水螺旋藻C-藻蓝蛋白富硒及其抗氧化特性

对海水钝顶螺旋藻Spirulina platensis C-藻蓝蛋白的富硒能力及含硒c-藻蓝蛋白对超氧阴离子(O2·)和羟基自由基(·OH)的清除作用进行了研究.结果表明,在添加低浓度硒(40-80mg·L-1)培养时,海水钝顶螺旋藻c.藻蓝蛋白对硒的富集效果显著强于淡水螺旋藻C-藻蓝蛋白.硒浓度为40mg·L-1时,C-藻蓝蛋白对硒的利用率最高,富硒系数最大(O.9%);硒浓度为60mg·L-1时,C-藻蓝蛋白含硒量最高(402mg·kg-1).含硒C-藻蓝蛋白比CJ藻蓝蛋白对超氧阴离子和羟基自由基的清除作用都有所加强,清除效应与C-藻蓝蛋白的含硒量及蛋白浓度呈正相关.C-藻蓝蛋白含硒量最高组(402mg·kg-1)在浓度为180μg·ml-1时,对超氧阴离子和羟基自由基的清除率分别可达到83%和35%,远高于同样条件下其他淡水种类相应蛋白的清除作用.研究结果显示,利用海水培养的螺旋藻能显著提高C-藻蓝蛋白的富硒能力和含硒C-藻蓝蛋白清除超氧阴离子的活性.此研究对开发具有抗氧化功能的含硒C-藻蓝蛋白显示出独特的技术优势和较大的应用潜力.     

多效唑对2种海洋微藻生长和抗氧化酶活性的影响

运用实验生态学和生物化学的方法,研究了多效唑对青岛大扁藻(Platymonas helgolandica)和绿色巴夫藻(Pavlova viridis)生长和抗氧化酶活性的影响.结果表明:低浓度(≤5 mg/L)多效唑能促进绿色巴夫藻的生长,与对照组相比,多效唑处理组的干重、叶绿素a、可溶性糖和蛋白质含量均有所增加(p<0.05),而低浓度(≤5 mg/L)多效唑对青岛大扁藻的生长无明显影响;高浓度(≥15 mg/L)多效唑可显著抑制青岛大扁藻和绿色巴夫藻的生长,多效唑处理组的干重、叶绿素a、可溶性糖和蛋白质含量均低于对照组(p<0.05).多效唑对青岛大扁藻和绿色巴夫藻的96 h-EC50值分别是28.6 mg/L和24.9 mg/L. 2种微藻经不同浓度多效唑处理后,细胞内抗氧化防御系统的关键性酶超氧化物歧化酶(superoxide dismutase, SOD)和过氧化物酶(peroxidase, POD)均表现为低浓度(≤5 mg/L)的诱导作用和高浓度(≥15 mg/L)时的抑制作用;不同浓度多效唑处理后,2种微藻细胞内过氧化氢酶(catalase, CAT)活性均降低.     

WebGIS及网络发布探讨

阐述了WebGIS的特点：开放性、互操作性和分布性;广泛的客户访问范围;良好的可扩展性和平台独立性。简明介绍了网络GIS的实现技术,探讨了如何使用ASP语言实现网络发布的方法,并给出了部分代码,提出了今后WebGIS发展趋势：动态仿真、虚拟现实与WebGIS的结合;移动通信技术与GIS的有机结合;开放式地理信息系统;基于网格计算的新一代WebGIS。     

基于GML的多源异构空间数据整合系统

目前在各行业、各部门存在的大量多源异构空间数据,严重影响了地理数据跨地区、跨行业、跨部门的交换与共享,为提高各行业、各部门之间的协调工作能力,达到空间数据的交换与共享,对多源异构空间数据的整合研究尤为重要.在总结前人研究成果的基础上,提出基于GML的多源异构空间数据整合、共享方式,并设计实现空间数据整合原型系统,该系统基本实现了空间数据的交换与共享.     

中国作物物候对气候变化的响应与适应研究进展

以气候变暖为主要特征的气候变化对作物物候产生了重要的影响,通常气温升高会导致作物生长速度加快,生育期缩短,从而造成作物产量下降,不利于农业发展。同时,作物物候变化可以直接或间接反映气候变化情况,对于气候变化具有重要的指示意义。作物物候的研究对于农业气象灾害的预防、农业生产管理水平的进步以及农业产量提高都极为关键。随着全球地表气温的持续升高,作物物候相关研究也越来越引起科学家的关注。论文结合作物物候的主要研究方法,综述了中国近几十年来小麦、玉米、水稻以及棉花、大豆等主要农作物的生育期变化特征以及主要的驱动因子,得到以下主要结论：①在研究方法上,统计分析方法应用最为普遍,其他几种方法都需要与统计分析方法相结合使用。另外,作物机理模型模拟方法易于操作、可行性强,在物候研究中应用也比较多。遥感反演方法对作物生育期的特征规律要求较高,一般主要关注作物返青期。②整体上,小麦全生育期主要呈缩短趋势,而玉米和水稻全生育期以延长趋势为主。③作物物候变化的驱动因子主要是气候变化和农业管理措施改变,其中,气候变化是主导驱动因子,对作物物候变化起决定作用,而调整农业管理措施,在一定程度上抵消气候变化对作物生育期的不利影响。作物物候对气候变化的响应和适应研究可以为农业生产适应气候变化提供重要的理论依据和对策。     

捷联式海洋重力数据的小波阈值滤波

基于捷联式海洋重力测量数据,对比不同小波、阈值及施加方式对滤波效果的影响。结果表明,db6、db7、db8、db9、db10、sym6、sym7、sym8、sym9、sym10、coif3、coif4和coif5小波较适用于海洋重力测量,小波分解层次可取至8层或9层,采用史坦无偏风险阈值滤波效果较好;小波分解至第8、9层时,阈值滤波结果与截止频率为0.005 Hz和0.003 3 Hz的Butterworth低通滤波器的滤波结果吻合较好,但小波阈值滤波结果更加平滑,两者差值的RMSE在0.25 mGal以内,且小波阈值滤波更容易分解出噪声成分,可以更有效地消除重力畸变。     

北斗三号组网卫星数据质量分析及单系统定轨精度初步评估

选取2018-01-23起10 d内16个iGMAS测站观测数据,对北斗三号卫星的观测数据质量及BDS单系统精密定轨精度进行评估。初步结果表明,老信号B1I、B3I北斗三号卫星的信噪比略强于二号卫星,噪声与多路径基本相当,均在0.1 m量级,新卫星不存在星内多路径偏差。新信号B1C/L1/E1频点GPS信噪比最强,Galileo和BDS卫星相当,B2a/L5/E5a和B2b/E5b各系统基本相当;噪声及多路径方面,B1C/L1/E1频点GPS优于BDS、Galileo卫星0.1 m量级,B2a/L5/E5a和B2b/E5b各系统基本相当,均在0.1 m量级,新信号中北斗三号卫星星内多路径偏差基本消失。单系统精密定轨试验中,分别进行有/无GEO卫星策略、太阳光压模型ECOM 五/九参数策略的比较,并使用卫星激光测距数据进行独立检核。初步结果表明,有GEO卫星、ECOM五参数光压模型的定轨精度最好,C19号卫星7个重叠弧段的平均定轨精度在沿迹向、法向、径向的精度分别为32 cm、16 cm、8 cm,与试验卫星的定轨精度基本相当。     

Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau

The availability of high-resolution satellite precipitation measurement products provides an opportunity to monitor precipitation over large and complex terrain and thus accurately evaluate the climatic, hydrological and ecological conditions in those regions. The Global Precipitation Measurement(GPM) mission is an important new program designed for global satellite precipitation estimation, but little information has been reported on the applicability of the GPM’s products for the Tibetan Plateau(TP). The object of this study is to evaluate the accuracy of the Integrated Multi-Satellite Retrievals for GPM(IMERG) Final Run product under different terrain and climate conditions over the TP by using 78 ground gauges from April 2014 to December 2017. The results showed the following:(1) the 3-year average daily precipitation estimation in the IMERG agrees well with the rain gauge observations(R~2=0.58, P0.01), and IMERG also has a considerable ability to detect precipitation, as indicated by a high probability of detection(78%-98%) and critical success index(65%-85%);(2) IMERG performed better at altitudes from 3000 m to 4000 m with a small relative bias(RB) of 6.4%. Precipitation change was not significantly affected by local relief;(3) the climate system of the TP was divided into four climate groups with a total of 12 climate types based on the K?ppen climate classification system, and IMERG performed well in all climate types with the exception of the arid-desert-cold climate(Bwk) type. Furthermore, although IMERG showed the potential to detect snowfall, it still exhibits deficiencies in identifying light and moderate snow. These results indicate that IMERG could provide more accurate precipitation data if its retrieval algorithm was improved for complex terrain and arid regions.     

Estimating the maximum impact force of dry granular flow based on pileup characteristics

The maximum normal impact resultant force(NIRF)is usually regarded as the sum of the static earth pressure of the dead zone and the dynamic impact pressure of the flowing layer.The influence of the interaction between the flowing layer and dead zone on the impact force is ignored.In this study,we classified two impact models with respect to the pileup characteristics of the dead zone.Then,we employed the discrete element method to investigate the influences of the pileup characteristics on the impact force of dry granular flow on a tilted rigid wall.If the final pileup height is equal to the critical value,the maximum NIRF can be estimated using a hydrostatic model,because the main contribution to the maximum NIRF is the static earth pressure of the dead zone.If the final pileup height is less than the critical value,however,the particles in the dead zone are squeezed along the slope surface by the impact ofthe flowing layer on the dead zone,and because of shear effects,the flowing layer causes an entrainment in the dead zone.This results in a decrease in the volume of the dead zone at the moment of maximum NIRF with increases in the slope angle.As such,the maximum NIRF mainly comprises the instant impact force of the flowing layer,so hydro-dynamic models are effective for estimating the maximum NIRF.Impact models will benefit from further study of the components and distribution of the impact force of dry granular flow.     

Farmer-based Rice Cropping Systems in the Poyang Lake Region,China: Analysis of Characteristics and Policy Implications

This paper examines the spatial characteristics of farmer/household behaviors in regional rice cropping systems (RCS), and the results provide necessary information for developing strategies that will maintain regional food security. Through field study and statistical analysis based on 402 households questionnaires finished in 2014-2015 in the Poyang Lake Region (PLR) of China, we arrived at two main conclusions. First, single- and double cropping rice were found across the study area, but showed a general distribution trend, with double cropping rice in the southeast part (especially in Jinxian county) and single cropping rice in the northwest (particularly in De’an county). Second, the household decisions concerning RCS varied in different parts of the PLR, but double cropping was the dominant type, with about 63.57% of the respondent households in the PLR cultivating double cropping rice. However, the multiple-cropping index of paddy rice was only 1.55. About 3% of interviewed households had altered their RCS during this period. Based on these findings, the local governments should guide farmers’ paddy field cultivation behaviors by increasing the comparative efficiency of rice production, promoting appropriate scale operations and land conversion, as well as optimizing rice growing conditions to improve the multiple cropping index and enhance food provision. Finally, land-use efficiency and more sustainable use of land resources should be improved.