Detecting Arctic snow and ice cover with FY-1D global data

Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.     

The broad band spectral index of TeV blazars detected by Fermi LAT

Using γ-ray data detected by Fermi Large Area Telescope (LAT) and multi-wave band data for 35 TeV blazars sample, we have studied the possible correlations between different broad band spectral indices ( $\alpha_{\rm r.ir}$ , $\alpha_{\rm{r.o}}$ , $\alpha_{\rm r.x}$ , $\alpha_{\rm r.\gamma}$ , $\alpha_{\rm{ir.o}}$ , $\alpha_{\rm ir.x}$ , $\alpha_{\rm ir.\gamma}$ , $\alpha_{\rm o.x}$ , $\alpha_{\rm o.\gamma}$ , $\alpha_{\rm r.x}$ , $\alpha_{\rm x.\gamma}$ ) in all states (average/high/low). Our results are as follows: (1) For our TeV blazars sample, the strong positive correlations were found between $\alpha_{\rm r.ir}$ and $\alpha_{\rm{r.o}}$ , between $\alpha_{\rm r.ir}$ and $\alpha_{\rm r.x}$ , between $\alpha_{\rm r.ir}$ and $\alpha_{\rm r.\gamma}$ in all states (average/high/low); (2) For our TeV blazars sample, the strong anti-correlations were found between $\alpha_{\rm r.ir}$ and $\alpha_{\rm x.\gamma}$ , between $\alpha_{\rm{r.o}}$ and $\alpha_{\rm ir.\gamma}$ , between $\alpha_{\rm{r.o}}$ and $\alpha_{\rm o.\gamma}$ , between $\alpha_{\rm{r.o}}$ and $\alpha_{\rm x.\gamma}$ , between $\alpha_{\mathrm{ir.o}}$ and $\alpha_{\rm o.\gamma}$ , between $\alpha_{\rm r.x}$ and $\alpha_{\rm x.\gamma}$ , between $\alpha_{\rm ir.x}$ and $\alpha_{\rm x.\gamma}$ in all states (average/high/low). The results suggest that the synchrotron self-Compton radiation (SSC) is the main mechanism of high energy γ-ray emission and the inverse Compton scattering of circum-nuclear dust is likely to be a important complementary mechanism for TeV blazars. Our results also show that the possible correlations vary from state to state in the same pair of indices, Which suggest that there may exist differences in the emitting process and in the location of the emitting region for different states.     

天山高山冰缘环境的融冻泥流作用

根据实地观测结果分析，本文得出：天山冰缘环境发育的融冻泥流分布在海拔２５００─３６００ｍ间的阴坡。融冻泥流发育要求地下含水丰富，粒度以细粉砂为主，地表坡度１０─３１°。融冻泥流的形态多数为长宽比小于１的叶状，少量为舌状。融冻泥流表面平均运动速度为１１．１４ｃｍ／ａ，舌前缘前进的平均速度的１．８６ｃｍ／ａ，中轴部位的运动速度比两侧大。     

质子化壳聚糖吸附除磷效能研究

本研究通过质子化方法强化壳聚糖的除磷效果,研究壳聚糖的质子化度、吸附时间、磷的存在形态等因素对质子化壳聚糖除磷效果的影响,结果表明,壳聚糖对水中总磷及磷酸根的吸附效果随着其质子化度的升高而呈现明显加强的趋势;质子化壳聚糖对水中总磷的吸附量随着时间的延长而增加,吸附时间在70-80min时达到最大吸附量;水溶液中磷的存在形态,影响质子化壳聚糖的除磷效果。     

Validation of the effects of temperature simulated by multi-model ensemble and prediction of mean temperature changes for the next three decades in China

Using series of daily average temperature observations over the period of 1961–1999 of 701 meteorological stations in China, and simulated results of 20 global climate models (such as BCCR_BCM2.0, CGCM3T47) during the same period as the observation, we validate and analyze the simulated results of the models by using three factor statistical method, achieve the results of multi- model ensemble, test and verify the results of multi-model ensemble by using the observation data during the period of 1991–1999. Finally, we analyze changes of the annual mean temperature result of multi-mode ensemble prediction for the period of 2011–2040 under the emission scenarios A2, A1B and B1. Analyzed results show that: (1) Global climate models can reproduce Chinese regional spatial distribution of annual mean temperature, especially in low latitudes and eastern China. (2) With the factor of the trend of annual mean temperature changes in reference period, there is an obvious bias between the model and the observation. (3) Testing the result of multi-model ensemble during the period of 1991–1999, we can simulate the trend of temperature increase. Compared to observation, the result of different weighing multi-model ensemble prediction is better than the same weighing ensemble. (4) For the period of 2011–2040, the growth of the annual mean temperature in China, which results from multi-mode ensemble prediction, is above 1 °C. In the spatial distribution of annual mean temperature, under the emission scenarios of A2, A1B and B1, the trend of growth in South China region is the smallest, the increment is less than or equals to 0.8 °C; the trends in the northwestern region and south of the Qinghai-Tibet Plateau are the largest, the increment is more than 1 °C.     

GEOCHRONOLOGICAL LIMITATIONS FOR INTERPRETING THE PALEOCLIMATIC HISTORY OF THE TIBETAN PLATEAU

在当前全球变化背景下,青藏高原冰川急剧退缩严重影响着东亚地区水资源.为了有效地规划水资源,需要对高原气候变化及其机制有深入的理解.尽管在青藏高原及周边地区有大量的古气候记录,但是目前对高原气候的时空变化及其机制仍缺乏深入一致的认识.青藏高原冰川、树轮和石笋记录可以提供过去气候变化的框架,但是这些记录的分布局限于一些特定的地理区域.青藏高原上广泛分布的湖泊沉积物是研究高原气候的时空变化及其机制的优良介质.湖泊沉积物岩芯的年龄控制主要依赖于放射性碳同位素定年,但大多数高原湖泊具有碳库效应,为建立沉积岩芯年代控制需要进行碳库年龄校正所带来的年龄误差目前未有深入研究,这在某种程度上制约了利用湖泊沉积物记录研究高原气候时空变化及其机制.本文比较了目前确定高原湖泊碳库年龄的方法并提出建议采用的方法,汇总目前己发表的高原湖泊碳库年龄,讨论湖泊现代碳库年龄的空间分布及其影响因素,讨论湖泊碳库过去变化及其可能造成的岩芯年代控制误差;以青海湖和班公错两个高原湖泊已发表的记录为例讨论过去碳库年龄变化可能造成对记录完全不同的解释;还讨论了由碳库效应校正而带来的湖泊沉积物岩芯年龄控制误差对青藏高原湖泊记录的末次盛冰期终止年代的空间分布及其对变化机制解释的影响.如果考虑碳库效应的过去变化,目前所观测到的高原气候时空变化及其机制需要重新解释.因此,为了更好地理解青藏高原气候时空变化及其机制,我们需要更多有良好定年、高分辨率和定量化的湖泊记录,本文也建议在解释目前湖泊记录时需要应对年龄控制极大重视.     

郑州望京楼遗址二里头文化时期植物资源的利用——来自石器残留淀粉粒的证据

通过对郑州望京楼遗址出土的二里头文化时期石杵和石臼进行淀粉粒分析,发现了5类可鉴定的不同形态淀粉粒,主要为粟黍类、小麦族(Triticeae)、薏苡属(Coix)、栎属(Quercus)和豆科(Fabaceae)等,以及部分未知种属的淀粉粒。石臼和石杵的使用部位形态多样的淀粉粒表明此类工具在当时被用于加工处理多种植物种子或果实。望京楼遗址二里头文化时期石器上粟、黍以及小麦等多种农作物淀粉粒的发现,同时结合二里头、南洼、皂角树等二里头文化遗址植物浮选结果,表明二里头文化时期中原腹心地区已普遍存在多品种的农作物种植。     

FHD-2B型质子磁力仪数据采集故障原因分析

FHD-2B型质子磁力仪是按照中国地震局"十五"规程研制的地震前兆观测仪器,它通过IP接口接入前兆服务器,完成数据自动采集.通过分析该仪器在数据采集过程中出现空值的问题,总结从仪器回传数据的方法,并提出远程控制解决方案.     

大姚6级双震前的地震前兆特征

在连续形变观测资料中除了存在于整个时间域的短周期潮汐信息(固体潮)外，还有出现在某个时间段的长周期非潮汐信息．如何从时间或空间上认识和提取这些信息．成为认识地震过程和进行地震预报关键和迫切的问题之一。利用小波分析的时一频特性和奇异性检测特性，对大姚6级双震前的连续形变观测资料进行了处理，提取潮汐资料中的非潮汐信息。发现在地震前震中附近的形变台站都接收到了相同频段的异常信号．周期为几天到十几天，出现在各个台站的时间也大致相同。这些在震前具有一定时、空分布的信息有可能是地震前兆。     

黄河北岸兰州段丘陵区土壤生态化学计量与空间变异北大核心CSCD

为探究黄河北岸兰州段丘陵区土壤碳、氮、磷含量及化学计量比的空间变异特征,基于12个样地数据,采集1 m剖面内不同发生层土壤进行土壤含水率(SWC)、pH、有机碳(SOC)、全氮(STN)和全磷(STP)的测定。分析了研究区土壤碳、氮、磷含量及其生态化学计量特征在植被和土层上的差异及空间变异特征。结果表明:(1)研究区SOC、STN、STP均值分别为4.53、0.74、0.13 g·kg^(-1),C∶N、C∶P、N∶P均值分别为7.85、55.17、8.40;(2)研究区SOC、STN、C∶N和N∶P的块基比C_(0)/(C_(0)+C)<0.25,主要受气候、植被、地形等自然因素影响;STP、C∶P则C/(C+C)>0.75,主要受退耕还草等人为因素影响;(3)研究区土壤整体受到氮限制,与此同时有机碳更为匮乏,磷则在短期内不会成为限制因子。在黄河流域兰州段北岸丘陵区北岸的生态治理与恢复中,应重视有机肥和氮肥的配置与施加,同时需减少人为干扰,这对于植被的快速恢复与养分的固定具有重要意义。