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921.
在处理流动重力观测数据时,采用最小二乘方法解算由权系数和观测值组成的超定方程组,得到最优权值,并利用最优权计算重力值。结果表明,等权方法计算得到的结果点值精度不高,但包含了较全的重力异常地震分析预报信息;不等权方法计算得到的结果点值精度较高,但削弱了有用的重力异常地震分析预报信息;最小二乘方法计算得到的结果不但有较高的点值精度,对MS4.0及以上地震的分析预报效果也最优。 相似文献
922.
GONG Chuanzhang LI Guangxue LIU Yong DING Dong XU Jishang MA Yanyan QIAO Lulu and WANG Haoyin 《中国海洋大学学报(英文版)》2020,19(1):113-123
Through the geochemical analysis of two hundred-meters cores KD4 and ZK3 from Laizhou Bay,in this study,we determined the distribution law and controlling factors of the geochemical elements.We analyzed 24 elements with respect to their R factors and major principal components,which were combined with the source discrimination functions DFCr/Th and DFCa/Al to obtain the sediment source index and its variation with depth for this area.A comparison of the changes in climate indicators suggests a clear correlation between the source and climate changes.The results show that the Yellow River and surrounding short-term rivers are the main sediment sources in this area.The PC3 of the KD4 core and PC2 of the ZK3 core(e.g.,CaO,MnO,SiO2)exhibit significant variations and reflect the relative contributions of Yellow River sources.The deposition process can be divided into six stages:in Phase I(MIS 5c–MIS 5a),the Yellow River formed,and the composition of the Yellow River had a greater influence on the sedimentary composition of the study area.In Phase II(MIS 5a–MIS 3),the sediment sources of the Yellow River and the short-term streams in this area were wavering,with the sediments derived from short-term rivers playing a more important role.In Phase III(MIS 3),with a sharp drop in temperature,the study area was in the process of retreat,and the sediment source changed from the Yellow River to short-term rivers,after which the Yellow River source material remained the main sediment source for the region.A similar process occurred three more times in Phase IV(MIS 3–MIS 2),Phase V(MIS 2–MIS 1),and Phase VI(MIS 1).With changes in climate,especially during alternating sea-land phases,the sediment source varied in marine-terrestrial-marine phases,and the changes are observed as Yellow River source-surrounding provenance-Yellow River source.However,this process of change is not synchronized with the sea-land strata alternation. 相似文献
923.
An extreme monsoonal heavy rainfall event lasted for nine days and recurred in the interior of northern south China from June 13 to 21, 2022. Using regional meteorological stations and ERA5 reanalysis data, the causes of this extreme monsoonal rainfall event in south China were analyzed and diagnosed. The results are shown as follows. A dominant South Asian high tended to be stable near the Qinghai-Tibet Plateau, providing favorable upper-level dispersion conditions for the occurrence of heavy rainfall in south China. A western Pacific subtropical high dominated the eastern part of the South China Sea, favoring stronger and more northward transport of water vapor to the northern part of south China at lower latitudes than normal. The continuous heavy precipitation event can be divided into two stages. The first stage (June 13-15) was the frontal heavy rainfall caused by cold air (brought by an East Asian trough) from the mid-latitudes that converged with a monsoonal airflow. The heavy rains occurred mostly in the area near a shear in front of the center of a synoptic-system-related low-level jet (SLLJ), and the jet stream and precipitation were strongest in the daytime. The second stage (June 16-21) was the warm-sector heavy rainfall caused by a South China Sea monsoonal low-level jet penetrating inland. The heavy rainfall occurred on the windward slope of the Nanling Mountains and in the northern part of a boundary layer jet (BLJ). The BLJ experienced five nighttime enhancements, corresponding well with the enhancement of the rainfall center, showing significant nighttime heavy rainfall characteristics. Finally, a conceptual diagram of inland-type warm-sector heavy rainfall in south China is summarized. 相似文献
924.
城市化是区域人口增长与社会经济发展的综合进程,其最为明显的特征是城市空间扩张。研究采用面向对象最近邻分类以及概率神经网络分类的方法,从Landsat TM影像中提取我国东(广州)、中(合肥)、西部(西宁)城市主城区建设用地信息,应用皮尔逊卡方检验、香农熵模型以及城市扩张速度等计算3个城市相同时间段内的城市扩张自由度、蔓延度、感观优劣度等,对研究区1995—2010年期间的扩张特征进行时空综合度量。结果表明:1)不同城市扩张特征不尽相同,东(广州)、中部(合肥)城市相较西部(西宁)扩张自由度及蔓延度偏高,区域差异明显;2)东(广州)、中部(合肥)城市扩张感观优劣度相对较低,应努力构建并完善城市扩张监管体系,统筹协调城市建设用地的开发利用,积极推进高质量城镇化,实现城市的可持续发展;3)东(广州)、中部(合肥)相较西部(西宁)近15年扩张明显,扩张速度较快。 相似文献
925.
当今社会正处于一个信息爆炸的时代,随着企业信息化技术的发展,除了政府机构、媒体(传统媒体)、企业等提供越来越多的数据以外,新兴的社会化媒体、物联网技术等的应用普遍化、介入人类生活的深入化也是数据量急剧增长的主要原因.这些数据大多以表格的形式存放在数据库内,既枯燥又难于理解.如何才能将这些数据有效地展示出来,帮助用户理解数据,发现潜在的规律,是亟待解决的问题.数据可视化能够将抽象的数据表示成为可见的图形或图像,显示数据之间的关联、比较、走势关系,有效揭示出数据的变化趋势,从而为理解那些大量复杂的抽象数据信息,为企业决策支持提供帮助.本文把大数据时代作为背景,把统计数据作为一个整体研究对象,将可视化技术和可视化表现作为方法手段,对各自进行分类和研究探讨,从而全面地认识数据可视化. 相似文献
926.
927.
中国独立发展的北斗系统已经具备亚太地区的定位导航能力,为研究以北斗系统为主的车载导航技术的应用精度,采用伪距单点定位的方法分别对车载GPS,BD2,GPS\BD2 3种导航模式下的二维导航精度进行对比分析,结果显示定位精度分别为:3.66m,4.76 m,3.01 m,可以看出基于单点定位的北斗二维平面导航精度已达到5 m内,完全满足大众日常的出行要求。组合系统与GPS导航系统对比,组合系统具有更高的精度,是较好的导航模式。并基于visual studio平台编写定位软件,实现对车辆位置和速度信息的提取,监控车辆是否超速。 相似文献
928.
929.
夏季南亚高压与邻近上对流层下平流层区水汽变化的联系 总被引:1,自引:0,他引:1
利用1979-2015年ERA-interim月平均再分析资料,分析了夏季南亚高压(SAH)与邻近上对流层下平流层(UTLS)区水汽空间分布特征,讨论了二者的相关关系和因果联系。结果表明:(1)在对流层上层,水汽大值区位于南亚高压的东南侧,并随高度升高向西北倾斜到100 hPa,水汽大值中心基本位于南亚高压中心附近。(2)南亚高压偏强(弱)时,南亚高压东部UTLS区水汽显著偏多(少),而南亚高压西北部水汽异常不显著。(3)南亚高压偏强(弱)时南亚高压中部UTLS区水汽偏多(少)可能与南亚高压对水汽的抽吸和对水汽输送屏障有关。(4)而南亚高压东南侧UTLS区水汽偏多(少)时南亚高压偏强(弱)可能与深对流输送的水汽潜热释放有关。 相似文献
930.
Statistical estimation of high-resolution surface air temperature from MODIS over the Yangtze River Delta,China
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High-resolution surface air temperature data are critical to regional climate modeling in terms of energy balance, urban climate change, and so on. This study demonstrates the feasibility of using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) to estimate air temperature at a high resolution over the Yangtze River Delta region, China. It is found that daytime LST is highly correlated with maximum air temperature, and the linear regression coefficients vary with the type of land surface. The air temperature at a resolution of 1 km is estimated from the MODIS LST with linear regression models. The estimated air temperature shows a clear spatial structure of urban heat islands. Spatial patterns of LST and air temperature differences are detected, indicating maximum differences over urban and forest regions during summer. Validations are performed with independent data samples, demonstrating that the mean absolute error of the estimated air temperature is approximately 2.5°C, and the uncertainty is about 3.1°C, if using all valid LST data. The error is reduced by 0.4°C (15%) if using best-quality LST with errors of less than 1 K. The estimated high-resolution air temperature data have great potential to be used in validating high-resolution climate models and other regional applications. 相似文献