北京环线建设驱动的土地利用变化遥感检测与分析

近年来,北京市的环线建设大大改进了北京的交通状况,促进了环线周边的商业发展和房地产开发的繁荣,同时也带来了环线周边地区的土地利用的变更。在“科技奥运”科技攻关项目和在研自然科学基金项目的支撑下,选择了1988,1994,2001和2003年5—6月份的TM数据,在影像经过几何校正和辐射归一化校正后对其应用高精度的自组织神经网络分类和利用高分辨率的航空照片验证;在分类数据和变更信息的基础上,采用了空间自相关分析模型、频率指数模型和潜力模型分别对北京各种用地类型的频率指数和建设用地的Moran系数和Geary系数,以及城市增长的潜力指她进行计算。一系列计算显示了环线驱动的北京市土地利用变化情况。结果表明:在环线建设的驱动下,北京市的建设用地围绕环线呈快速增长趋势;绿地面积在四环、五环的环线一带也呈增加趋势;城市增长潜力从四环到六环呈逐渐增大趋势。     

安宁河—则木河断裂带1993～2012年重力动态变化

利用安宁河—则木河断裂带区域1993～2012年的流动重力观测数据,作出重力场动态图像和部分重力点值时序变化图,总结在这20年里安宁河—则木河断裂带的活动规律,分析研究安宁河—则木河断裂带区域及其临近区域较大震级的地震孕育过程中区域的重力变化情况,为安宁河—则木河断裂带区域地震预测预报提供经验和参考资料.     

沧东—南皮凹陷孔店期古盐度与古环境演化

内陆封闭湖泊的盐度与湖平面具有同步反向变化的特点,通过古盐度研究可推测沉积时期的古气候状况。通过Sr/Ba、Th/U含量比值及C、O同位素的含量变化分析,对沧东—南皮凹陷孔店期各层序古盐度的变化进行系统研究,结合孢粉及岩性组合,推断该区孔店期的水体性质及各层序间古环境的演化。综合认为孔店期整体水体性质为半咸—微咸水,水体深度呈浅→深→浅的变化规律,古气候变化特征为半干旱→湿润→半干旱→干旱气候。     

利用地震相分析方法圈定煤层变焦区

三维地震数据体中,地震波形的总体变化源于地质体构造、岩性的综合反映,因此地震波形的总体变化是一个很重要的地震属性。然而,传统的岩性解释手段(例如波阻抗反演和地震属性技术等)忽略了地震波形的整体变化及其分布规律。利用地震波形的变化来建立地震相,在一定程度上能够弥补这一缺陷。利用地震波形划分地震相就是通过神经网络分析将地震信号按照波形进行分类,不同的类反映不同的岩性地质体。基于波形划分地震相原理,介绍了利用Stratimagic地震地层解释系统进行地震相划分的一般流程和关键参数的设置,并以淄博矿业集团葛亭煤矿某采区为例,对其3煤层变焦区进行了圈定。     

不同采样率水位同震响应能力及其特征分析

分析同种仪器不同采样率水位资料同震响应记录情况,发现存在很大差异,不但形态上明显不同,响应能力及响应幅度上也差别很大.在此基础上认为,秒采样率数据能更好记录同震响应.指出,为了记录到真实完整可靠的同震响应,观测仪器应在采样率、数据存储容量、GPS授时、触发阈值、时值及分钟值取值方式等方面作改进.最后指出,同震响应分析可能是今后地震分析预报有所突破的一个研究方向.     

广西凤凰山银矿床构造控矿与找矿方向研究

广西凤凰山银矿床位于西大明山复式背斜北东端的次级褶皱断裂破碎带中。本文基于区域构造背景,研究了凤凰山银矿床构造对矿化蚀变的控制作用,分析了控矿构造组合样式及其形成机理。认为矿体产于NWW向压剪性断裂中的局部张性地段,断裂产状变化部位以及NWW向断裂与NW向断裂交会部位是成矿有利部位。     

Water source partitioning among trees growing on carbonate rock in a subtropical region of Guangxi, China

It is not clear how the water sources are used by trees in typical karst areas of Guangxi, China. Trees growing on rigid carbonate rock can primarily use spring water, precipitation-recharged soil water or a mixture of the two. In this study, the Nongla karst dynamic monitoring station in the southwest of Guangxi, China, was observed. To determine the water sources accessed by trees growing on rigid carbonate rock, seasonal change of isotope ratios (δ¹⁸O and δ D) in twig sap, soil water, rainfall and spring water were measured. Stem water samples plotted to the right of the meteoric water line indicates utilization of water sources subject to evaporative isotopic enrichment. Trees growing on rigid carbonate rock in the southwest of China used rainfall directly in the rainy season. Adult trees tended to use deeper water stored in the epikarst zone, while the young ones used soil water when precipitation decreased. In the dry season, all trees sampled depend mostly on water stored in the epikarst zone. Spring water was the major water source for all of the tree species investigated in the dry season. In conclusion, these data indicate that trees growing on rigid carbonate rock in southwest China depend mostly on water stored in the epikarst zone. Therefore, water storage in the epikarst zone is the essential water source for trees growing on carbonate rock in southwest China.     

一个改进的湍流垂直扩散过程参数化方案

研究了数值天气预报模式中次阿格湍流垂直扩散过程的参数化问题。以Ｂｏｕｇｅａｕｌｔ和Ｌａｃａｒｒｅｒｅ（１９８９）的参数化方案为基础，改进了处理湍流混合长的方法，使湍流混合长和热力混合长分别依赖于基本气流的静力稳定度和风场切变。新方案的基本思路是把ＶｏｎＫａｒｍａｎ（１９３０）提出的动力（风场切变）湍流扰动假设与ＢＬ－８９方案提出的热力（静力稳定度）湍流扰动假设结合在一起，强调了大气的热力结构、动力结构和湍流动能对湍流混合过程的共同影响。新方案和ＢＬ－８９方案的二维对比数值试验结果表明，在大气处于静力较稳定而风场切变明显条件下的湍流扰动表现能力方面，新方案比原方案有明显的改进。     

Excel在地面气象观测数据整编中的应用

运用Excel具有的数据输入和编辑、公式与函数,对地面气象测报业务软件OSSMO 2004/ReportFile/AIIiii-YYYYMM.TXT中的观测数据进行归类整理。     

From highly polluted inland city of China to “Lanzhou Blue”: The air-pollution characteristics

Air quality was improved considerably and the so-called "Lanzhou Blue" appeared frequently in Lanzhou due to implementation of some strict emission-control measures in recent years. To better understand whether the concentration of each air pollutant had decreased significantly and then give some suggestions as to urban air-quality improvement in the near future, the variations of the Air Quality Index (AQI) and six criterion air pollutants (PM_2.5, PM₁₀, CO, SO₂, NO₂, and O₃) at five state-controlled monitoring sites of Lanzhou were studied from 2013 to 2016. The AQI, PM_2.5, PM₁₀, and SO₂ gradually decreased from 2013 to 2016, while CO and NO₂ concentrations had slightly increasing trends, especially in urban areas, due to the large number of motor vehicles, which had an annual growth rate of 30.87%. The variations of the air pollutants in the no-domestic-heating season were more significant than those in the domestic-heating season. The increase of ozone concentration for the domestic-heating season at a background station was the most significant among the five monitoring sites. The vehicle-exhaust and ozone pollution was increasingly severe with the rapid increase in the number of motor vehicles. The particulate-matter pollution became slight in the formerly highly polluted Lanzhou City. Some synergetic measures in urban and rural areas of Lanzhou should be taken by the local government in the near future to control fine particulate-matter (PM_2.5) and ozone pollution.