Effects of RapidEye imagery’s red-edge band and vegetation indices on land cover classification in an arid region

Land cover classification (LCC) in arid regions is of great significance to the assessment, prediction, and management of land desertification. Some studies have shown that the red-edge band of RapidEye images was effective for vegetation identification and could improve LCC accuracy. However, there has been no investigation of the effects of RapidEye images’ red-edge band and vegetation indices on LCC in arid regions where there are spectrally similar land covers mixed with very high or low vegetation coverage information and bare land. This study focused on a typical inland arid desert region located in Dunhuang Basin of northwestern China. First, five feature sets including or excluding the red-edge band and vegetation indices were constructed. Then, a land cover classification system involving plant communities was developed. Finally, random forest algorithm-based models with different feature sets were utilized for LCC. The conclusions drawn were as follows: 1) the red-edge band showed slight contribution to LCC accuracy; 2) vegetation indices had a significant positive effect on LCC; 3) simultaneous addition of the red-edge band and vegetation indices achieved a significant overall accuracy improvement (3.46% from 86.67%). In general, vegetation indices had larger effect than the red-edge band, and simultaneous addition of them significantly increased the accuracy of LCC in arid regions.     

Soil–structure interaction effects observed in the in situ forced vibration and pushover tests of school buildings in Taiwan and their modeling considering the foundation flexibility

In the conventional structural seismic analysis, the rigid base model is usually adopted without considering the flexibility of the ground, leading to inaccurate estimation of the vibration characteristics and the seismic response of the structure. In 2007, several in situ tests were conducted by the National Center for Research on Earthquake Engineering (NCREE) on the school buildings in the Guanmiao Elementary School in Tainan, Taiwan. For the study of soil–structure interaction (SSI) effects, the forced vibration test (FVT) was performed, and the deformation of the foundation system was measured during the pushover test. In this paper, the results of these in situ tests are presented and discussed, and the finite element models of the school buildings were generated for the simulation of the FVT and for the pushover analysis in order to investigate the difference between the rigid base model and the flexible base model. Results show that the mechanical properties of the structure and the foundation could be demonstrated in these in situ tests. Additionally, the introduction of the flexibility of the foundation has a considerable influence on the results of structural analysis. Copyright © 2009 John Wiley & Sons, Ltd.     

加卸载响应比与震前应力积累模式研究

加卸载响应比是一种中短期地震预测方法.按照该方法,通常在大地震发生之前加卸载响应比时间序列会出现明显的异常高值.早先的研究发现,震前临界区域的选择对加卸载响应比的计算有很大影响.我们发展了一种使用震前应力积累区域取代传统圆形区域计算加卸载响应比的算法,提高了加卸载响应比的地震预测能力,其震前库仑应力场分布采用地震断层位错模型将同震滑移量反向滑移的方法计算.美国南加州近20年来发生的4次M6.5地震以及2008年中国汶川MS8.0地震的研究事实表明,使用库仑应力算法得到的加卸载响应比时间序列,前兆变化相对于圆形区域算法更为明显,且对目标地震的位置、震级预测更为明确.库仑应力算法的这一独特性质,使我们可以针对不同地区的活动构造特征对未来地震发生的地点和大小提供信息和约束.     

基于GPS高程时间序列粗差的抗差探测与插补研究

研究抗差估计和稳健估计粗差探测IQR准则的粗差剔除算法以及缺值点插值的正交多项式最小二乘拟合方法。以中国3个CORS基准站从1999-03-01—2009-12-31日的单天解GPS高程时间序列为对象进行粗差探测与插补的试验。结果表明：抗差估计比IQR准则能更有效地探测和剔除粗差;三次样条插值当连续缺失历元超过5~10个时插值结果易发生扭曲;低次正交多项式拟合的结果稳定,一般选择2~3次拟合即可获得理想的效果,当连续缺失历元达3个月时,正交多项式拟合后的曲线与序列趋势仍基本一致。     

基于GPS信号和Klobuchar电离层模型反演地磁北极

基于地磁对电离层的影响,尝试利用GPS信号和Klobuchar模型估计地磁北极在地理坐标系中的位置,并建立了相应的数学模型。理论分析和数据验证了方法的可行性,如果进行Klobuchar模型的区域化改进和算法的完善,将更有利于地磁北极估计的可靠性和估计精度的提高。     

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Soil microbial population dynamics along a chronosequence of moist evergreen broad-leaved forest succession in southwestern China

Little is known about whether soil microbial population dynamics are correlated with forest succession.To test the hypotheses that(1) soil microbial composition changes over successional stages,and(2) soil microbial diversity is positively correlated with plant species diversity,we determined the soil microbial populations,community composition,and microflora diversity in evergreen broad-leaved forests along a chronosequence of vegetation succession from 5 to 300 years in southwestern China.The soil microbi...     

湖泊自生碳酸盐碳同位素在环境变化中的应用

湖泊自生碳酸盐碳同位素组成(δ13Cc)在区域气候与环境变化方面的应用研究近年来进展迅速,成果显著,保存在各类湖泊沉积物柱芯中的δ13Cc记录揭示了湖表水体与大气CO2的交换程度、暖季降水量的多少、流域C3和C4植被变化情况、水生生物光合作用或呼吸作用强弱、湖泊生产力大小、湖泊水体化学特征、湖水不同深度层的有机质变化过程等重要的气候和环境信息;对此进行归纳和述评。     

湖泊无机碳酸盐矿物氧同位素组成差值及其单矿物同位素组成的确定

湖积物中不同无机碳酸盐矿物常常混杂在一起,其氧同位素组成(δ18O)差异会影响碳酸盐δ18O环境信息提取的可靠性。不同矿物之间δ18O差值明显且幅度不一。20~25℃时生成的白云石比共生的方解石富集18O可能为0‰~9‰不等,亦或方解石比白云石可能更富集18O达0‰~12.3‰。常温状态,相同条件下形成的文石δ18O值较方解石高出0‰~1‰,或者方解石较文石δ18O值高出0‰~4.47‰。镁方解石中MgCO3的mol百分含量每增加1%,其δ18O值相对于纯方解石δ18O值增加0.06‰~0.17‰。在利用碳酸盐δ18O进行气候及环境研究时,不能根据某种差值进行校正,而应进行单矿物测试。由此,对不同无机碳酸盐矿物的分离及同位素测试、推算方法进行了归纳和述评。     

基于多参数指标的长江口滨岸多环芳烃来源辨析(英文)

Samples of suspended particulate matters(SPMs),surface sediment and road dust were collected from the Yangtze estuarine and nearby coastal areas,coastal rivers,and central Shanghai.The samples were analyzed for the presence of 16 polycyclic aromatic hydrocarbons(PAHs)in the USEPA priority-controlled list by GC-MS.The compound-specific stable carbon isotopes of the individual PAHs were also analyzed by GC-C-IRMS.The sources of PAHs in the SPMs and surface sediments in the Yangtze estuarine and nearby coastal...