基于地表校正和河道烧录方法的河网提取

 针对现有的数字高程模型(DEMs)在自动提取虚拟河网过程中易受洼地、平原地区影响,产生不连续的或平行的错误河网的问题,本文基于Arc Hydro Tools,阐述了地表校正(Agree算法)和河道烧录(Stream burning)方法提取虚拟河网的关键步骤和基本思路,并以环渤海地区为例,分析了有(无)河网辅助信息下,河网提取结果的准确度。研究结果表明,增加辅助信息更有助于提高虚拟河网的精度和准确性,且河道烧录方法在虚拟河网的提取上比Agree算法更有优势。由于环渤海研究区平原面积广大,对提取结果有较大的影响,提取结果的精确度不高。针对这一问题,本文综合河道烧录和地表校正(Agree 算法)的特点,提出一种河网提取的改进思路,并选取滦河流域作为验证区。通过对比,改进后的河网提取结果与中国实际河网分布较为吻合,说明该改进思路是较为合理、可信的。     

用于PB-HTGR燃料球运动规律研究的钴-60螺旋CT系统研发

在球床式高温气冷堆(PB-HTGR)中,球形燃料元件在堆芯中的流动特性是堆芯物理设计和几何设计的基础,球流运动规律的研究在发展球床式高温气冷堆技术中具有基础性的作用。目前还没有一种有效的手段检测燃料球在堆芯中的运动轨迹,有关球流运动规律的理论和实验研究尚不够完善。为了对燃料球在堆芯中的运动规律进行三维实验研究,清华大学核研院按实际堆芯结构等比例缩小设计了实验模型,通过检测目标球在模型中的运动轨迹,可以对不同工况下燃料球的运动规律进行模拟研究。为了满足目标球的检测要求,我们设计了钴-60多层螺旋CT检测方案,可以进行目标球的识别和轨迹追踪,验证实验结果表明该方案可以满足实验系统对目标球检测的要求。      

黄河源区玛多县沙漠化成因与发展过程

通过分析黄河源区玛多县沙漠化的成因和过程,结果表明,玛多县沙漠化成因类型有三种,分别为固定沙丘/古沙丘活化、滑塌陡坎及风蚀斑块,其形成都与多年冻土退化相关.在固定沙丘或古沙丘分布区,冻土退化导致热融沉陷,形成沉陷坑,沉陷坑边缘形成拉裂缝或陡坎,使下伏松散沙露出.在斜坡上,冻土退化形成滑塌陡坎,使底层土壤从侧面暴露.在平坦的冲积平原,差异性冻胀和融沉导致草皮拉裂,形成积水坑洼,冻土退化导致土壤变干,土壤的底层暴露.下伏风成沉积物暴露后,遭受风蚀,形成侧向凹槽,致使上部土体坍塌,使更多的风成沉积物暴露,这些过程的不断重复,使风蚀坑、陡坎、风蚀斑块扩大相连,最终形成流动沙丘、风蚀劣地、戈壁等地貌.     

内蒙古东乌旗地区中下泥盆统泥鳅河组沉积相研究

发育于内蒙古东乌旗地区的泥鳅河组,属于早中泥盆世沉积,厚度约1000m,主要发育泥岩、粉砂岩和灰岩沉积,粉砂岩中常常发育大量腕足类和珊瑚生物化石。首次在本区发现风暴沉积和Beaconites遗迹化石:风暴沉积由下至上包括粒序层理段、平行层理段、丘状交错层理段和浪成波纹层理段4个层段;Beaconites遗迹化石具管壁和内部水平“V”字型的回填纹构造。通过对岩相、生物化石、风暴沉积和Beaconites遗迹化石的研究显示,东乌旗地区泥鳅河组为浅海相沉积。     

吐哈盆地北缘中侏罗世植物化石稳定碳同位素的古环境意义

新疆吐哈盆地北缘三道岭煤田中侏罗统西山窑组的植物化石属于Coniopteris-Phoenicopsis植物群的典型组合。从该植物群中挑选出优势属种,分别为似银杏、拟刺葵、枝脉蕨以及斯堪尼狭轴穗,对其进行稳定碳同位素分析。前3种为叶片化石,它们的δ13C值分布在-21.66‰~-23.83‰,属于典型的C3植物。最后一种为繁殖器官化石,其δ13C值为-20.91‰,比叶片的值高。将δ13C值根据公式转换为大气CO₂的δ13C_a值,发现基于银杏类叶片获得的现代和中侏罗世的δ13C_a值与其他方法获得的值相似。这说明银杏类叶片是重建地质历史时期δ13C_a的一类可靠植物,为今后研究中生代-新生代δ13C_a变化提供了一个简便而可行的方法。C_i/C_a比值是一重要的植物生理生态特征值,因此进一步将银杏类化石叶片的δ13C值换算成C_i/C_a。化石似银杏的C_i/C_a值为0.6,而现生银杏的C_i/C_a为0.63,二者相似。虽然三道岭地区中侏罗世的CO₂浓度约为现在的4.5倍,但是化石和现生银杏类植物的C_i/C_a值仍然保持恒定,表明银杏植物的气孔参数对CO₂变化比较敏感,是重建古CO₂浓度的良好指示植物。这也为判断一种植物能否用来重建古CO₂浓度提供了一种简便而有效的检测方法。     

Principal aspects of the Ordovician biotic radiation

The Ordovician radiation is among the major bioevents in earth history that have drawn great attention from geologists all over the world, and there have been hundreds of publications treating various aspects of this radiation. The study of the event involves a broad spectrum of research fields and concerns many scientific questions. Many opinions and hypotheses have been proposed on the triggering and controlling factors of the radiation. Herein the authors critically review the study of the Ordovician rad...     

Climate variability recorded by n-alkanes of paleolake sediment in Qaidam Basin on the northeast Tibetan Plateau in late MIS3

Here we combine n-alkanes preserved in a shell bar section from Qarhan paleolake, Qaidam Basin with the other sedimentary proxies to elucidate the lake evolution process during the period 39.7 to 17.5 14C ka BP (calibrated age ranges from 43.5 to 22.4 cal. ka BP). In different stages, the n-alkane homologues exhibited different distribution modes indicative of variations in the surrounding vegetation and the hydrologic condition of the lake. The n-alkanes proxies (CPIh, ACLh, Paq) have the same trends as th...     

Research on Fossil Heritages Protection in Xingwen World Geopark

There are various Permian fossil heritages in Xingwen World Geopark.However,during constructing Geopark in recent years,the fossil heritages have suffered more serious damages,and thus the protection models of the fossil heritage are worth studying.This paper describes the fossil heritages’ types,abundance and preservation of the current status quo in the geopark.It turns out that natural factors and human factors are the main reasons why lead to the destruction of fossil heritages.At last,it puts forward the corresponding measures in order to protect the integrity of fossil heritages in the world geopark.     

Toward a Spatial Understanding of Staple Food and Nonstaple Food Production in Brazil

Brazilian agricultural census data at the municipal level are used to develop and map a simple index of staple food versus nonstaple food agriculture for Brazil over time (1996–2006). The results show spatial variation in the direction and degree of the shift toward or away from staple food cropping across Brazil. The index is presented as an important methodological step toward a systematic geographic understanding of crop share changes surrounding food versus fuel and other nonfood crop production.     

Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery

This paper presents an application of Airborne Laser Scanning (ALS) data in conjunction with an IRS LISS-III image for mapping forest fuel types. For two study areas of 165 km² and 487 km² in Sicily (Italy), 16,761 plots of size 30-m × 30-m were distributed using a tessellation-based stratified sampling scheme. ALS metrics and spectral signatures from IRS extracted for each plot were used as predictors to classify forest fuel types observed and identified by photointerpretation and fieldwork. Following use of traditional parametric methods that produced unsatisfactory results, three non-parametric classification approaches were tested: (i) classification and regression tree (CART), (ii) the CART bagging method called Random Forests, and (iii) the CART bagging/boosting stochastic gradient boosting (SGB) approach. This contribution summarizes previous experiences using ALS data for estimating forest variables useful for fire management in general and for fuel type mapping, in particular. It summarizes characteristics of classification and regression trees, presents the pre-processing operation, the classification algorithms, and the achieved results. The results demonstrated superiority of the SGB method with overall accuracy of 84%. The most relevant ALS metric was canopy cover, defined as the percent of non-ground returns. Other relevant metrics included the spectral information from IRS and several other ALS metrics such as percentiles of the height distribution, the mean height of all returns, and the number of returns.