孟津县小麦冻害与气象要素调查分析

孟津县2004～2005年冬季持续低温和春季寒流,使小麦遭受冬、春季双重冻害.通过调查小麦冻害苗情,结合气象要素资料分析,找出了小麦冻害的主要影响因素,并制定出消除或减缓冻害的技术措施.     

Ruthenium-ion-catalyzed oxidation of asphaltenes and oil-source correlation of heavy oils from the Lunnan and Tahe oilfields in the Tarim Basin, NW China

The identification of marine source rocks in the Tarim Basin is debated vigorously. The intention of this paper is to investigate the asphahenes in heavy oils from the Lunnan and Tabe oilfields and Well TD2 with ruthenium-ions-catalyzed oxidation technique (RICO), in order to explore its role in oil-oil and oil-source correlations, The RICO products included n-alkanoic acids, α,ω-di-n-alkanoic acids, branched alkanoic acids, tricyclic terpanoic acids, hopanoic acids, gammacerane carboxylic acid , regular sterane carboxylic acids and 4-methylsterane carboxylic acids. The n-alkyl chains and biomarkers bounded on the asphaltenes were of unsusceptibility to biodegradation. The distribution and absolute concentrations of n-alkanoic acids in the RICO products of heavy oils from the Lunnan and Tabe oilfields are different from those of Well TD2. The biomarkers bounded on the asphahenes, especially steranes, have a distribution trend similar to that of the counterparts in saturates. The sterane carboxylic acids and 4-methylsterane carboxylic acids in the RICO products of heavy oils from the Lunnan and Tahe oilfields, dominated by C30 sterane and C31 4-methylsterane carboxylic acids, respectively, are significantly different from those of the heavy oils of Well TD2, whose dominating sterane and 4-methylsterane carboxylic acids are C28 sterane and C29 4-methylsterane acids, respectively. The RICO products of the asphaltenes further indicate that the Middle-Upper Ordovician may be the main source rocks for heavy oils from the Lunnan and Tabe oilfields.     

PRESSURE GRADIENT FROM THE CONTRIBUTION OF BOTH GEOTHERMAL AND GRAVITY IN THE LITHOSPHERE

1 Introduction The pressure, a scalar quantity, is defined as P = F/S (F is force, S is the area for F) which can be widely used for both solid and fluid. The formula P = g ρh (g-gravitation acceleration,ρ-density, h-depth) is only used for even density static solid and fluid. The delivery of pressure in the fluid follows the law of Pascal, and the average pressure of uneven density fluid can be calculated with the formula of P = g ρh. The temperature influence on pressure is notHU Ba…     

太原盆地地下水资源模拟研究

山西省太原盆地由于地下水长期超采,引发了地下水降落漏斗、地面沉降等环境地质问题。通过GMS建立地下水水流三维数值模型,基于模型预测了现状开采条件下地下水水位的变化趋势,并提出合理利用地下水资源的措施,为地下水资源的优化管理提供科学依据。     

内蒙古达赉湖国家级自然保护区的湿地监测与保护管理

<正>达赉湖国家级自然保护区地处呼伦贝尔草原 腹地。呼伦贝尔草原所以肥美,是因为有众多河 流湖泊滋润,形成了广阔的湿地、沙地、草原等 多种景观。为各种生物和人类生活奠定了物质基 础,使得呼伦贝尔成为资源丰富,多个民族,特 别是北方众多游牧民族的主要发祥地。突厥、鲜 卑、蒙古等众多民族生息繁衍于此,并逐步繁荣     

复杂卫星图像中的小目标船舶识别

船舶作为海上的重要目标,实现对船舶自动识别有重要的意义。针对卫星图像中云雾、海岸背景等复杂海情对船舶识别带来的干扰,以及小目标船舶高漏检率问题,本文提出一种多尺度深度学习模型训练策略,在此基础上构建了一种船舶识别的深度学习网络,该网络可分为多尺度训练、特征提取、生成目标建议区域、船舶分类这4个部分。首先,采用多尺度的训练策略,将多尺度的船舶样本送入网络中进行训练,这样在训练样本中加入了大量小目标船舶的样本,使网络充分提取到小目标船舶的特征;其次,通过卷积神经网络对目标船舶进行特征自适应提取;然后,目标区域建议网络可依据卷积神经网络提取到的特征,在图像中找到感兴趣目标区域,即框定船舶的位置;最后,通过多个全连接层的组合,将高维特征映射到一个4元组中,再运用分类函数输出每一类船舶的概率值,概率值最大的则为该船舶的类别。同时为解决云雾遮挡和海岸背景的干扰,采用了一种负样本增强学习的方法,在样本数据集中加入了大量只含有云雾和海岸背景的图片,进行负样本扩充,增强网络模型对云雾及海岸背景的特征学习能力,以此解决复杂海情的影响。实验结果表明,所提方法有效解决了复杂海情条件下的船舶识别难,以及小目标船舶识别难的问题,实现了复杂海情条件下的船舶识别。同时,与现有成熟的深度学习目标识别算法相比,本文算法的精确度和召回率分别提升了6.98%和18.17%,所训练的模型具有良好的泛化能力和鲁棒性。     

GNSS-R/IR监测地表冻融状态对延迟多普勒波形和多路径数据影响分析

将GNSS-R/IR技术的应用领域拓展到地表冻融状态的监测中，本文利用冻融土混合介质介电常数模型计算土壤介电常数，采用双站全极化相干反射率模型和随机粗糙面散射模型，分别计算了经冻融土反射的GPS相干反射量的镜像反射率，以及GPS非相干反射分量的漫散射特性。模拟分析了冻融转换时，GPS多路径信息（GNSS-IR）以及包含漫散射信号的延迟多普勒图（GNSS-R）的变化特征。理论研究表明冻融转换过程中，地表介电常数的变化导致GPS多路径信息和延迟多普勒图的明显变化。本文从散射机理上揭示了利用GNSS-R和GNSS-IR遥感进行地表冻融特性监测的理论依据。     

滕州荆泉水源地岩溶塌陷特征与成因分析

自2015年6月以来,在山东滕州荆泉水源地范围内连续发生多起岩溶塌陷。通过研究区域地质条件,在已有认识的基础上分析得出发育的浅层开口岩溶洞隙的存在,一定厚度的松散覆盖层及地下水位大幅下降是该区产生岩溶塌陷的基本条件。阐述了岩溶塌陷形成发育过程及影响因素,得出长期过量抽采岩溶水是区内岩溶塌陷的主要因素,合理减少地下水开采量是预防岩溶塌陷最有效的方法。