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951.
Lunar gravity field determination using SELENE same-beam differential VLBI tracking data 总被引:2,自引:0,他引:2
S. Goossens K. Matsumoto Q. Liu F. Kikuchi K. Sato H. Hanada Y. Ishihara H. Noda N. Kawano N. Namiki T. Iwata F. G. Lemoine D. D. Rowlands Y. Harada M. Chen 《Journal of Geodesy》2011,85(4):205-228
A lunar gravity field model up to degree and order 100 in spherical harmonics, named SGM100i, has been determined from SELENE and historical tracking data, with an emphasis on using same-beam S-band differential VLBI data obtained in the SELENE mission between January 2008 and February 2009. Orbit consistency throughout the entire mission period of SELENE as determined from orbit overlaps for the two sub-satellites of SELENE involved in the VLBI tracking improved consistently from several hundreds of metres to several tens of metres by including differential VLBI data. Through orbits that are better determined, the gravity field model is also improved by including these data. Orbit determination performance for the new model shows improvements over earlier 100th degree and order models, especially for edge-on orbits over the deep far side. Lunar Prospector orbit determination shows an improvement of orbit consistency from 1-day predictions for 2-day arcs of 6 m in a total sense, with most improvement in the along and cross-track directions. Data fit for the types and satellites involved is also improved. Formal errors for the lower degrees are smaller, and the new model also shows increased correlations with topography over the far side. The estimated value for the lunar GM for this model equals 4902.80080±0.0009 km3/s2 (10 sigma). The lunar degree 2 potential Love number k 2 was also estimated, and has a value of 0.0255 ± 0.0016 (10 sigma as well). 相似文献
952.
上海地区低能见度特征分析 总被引:4,自引:1,他引:4
利用上海机场气象观测资料以及同时段的探空资料、大气污染资料,分析了上海地区低能见度的季节和日变化特征,以及影响低能见度的天气因子和大气污染浓度,结果表明:低能见度在12月出现次数最多,其次是1月、11月,6-9月出现最少;05:00-08:00出现频率最高,维持时间在1-5 h内的累积频率达到84.4%.降水、雾、霾等是造成低能见度的天气因子.低能见度日空气污染比较严重.冬季大气边界层稳定比例较高、多层逆温频繁发生、混合层高度低,是上海地区低能见度发生频率较高的主要原因. 相似文献
953.
根据高精度重磁资料,经过计算机各种方法处理及综合分析,可以查明盆地内大的断裂、火成岩及局部的构造展布。同时指出,长流断裂的下降盘是油气勘探有意义的地区。 相似文献
954.
简要介绍了近年来一些国家地震灾害造成的经济损失占这些国家国内生产总值的比例;主要介绍了多震地区开展地震断层探测研究的概况以断层活动为基础的地震保险试验的内容及研究进展。 相似文献
955.
上海水源地毗邻湖库浮游植物群落结构的季节变化及其影响因子 总被引:1,自引:0,他引:1
为改善城市水源地及毗邻水域的水质管理,2019年11月至2020年11月分别在青草沙水库中央沙水域和金泽水库南白荡水域开展了4个季度的采样调查.运用综合营养状态指数(TLI(Σ))对水体营养状态等级进行综合评估,并采用主成分分析(PCA)、冗余分析(RDA)和相关性分析等方法研究了浮游植物群落特征与环境因子的关系.结果表明:中央沙和南白荡水域TLI (Σ)范围分别为57.5~59.0、54.1~56.1,2个水体均处于轻度富营养状态;两者分别鉴定出浮游植物7门104属184种、8门96属172种;蓝藻门是中央沙水域全年浮游植物构成的主要门类,其次为硅藻门、绿藻门,而南白荡浮游植物群落结构季节性演替明显,优势门类由硅藻门/隐藻门-蓝藻门-隐藻门/硅藻门变化,浮游植物细胞密度季节平均值变化范围分为3.00×107~1.61×108 cells/L、4.29×106~6.59×107 cells/L;鉴定出2个水体浮游植物的优势类群分别有4门17属、5门13属,中央沙水域全年的主要优势类群为假鱼腥藻属(Pseudanabaena)和长孢藻属(Dolichospermum),而南白荡春冬季的主要优势类群为小环藻属(Cyclotella)、隐藻属(Cryptomonas)和蓝隐藻属(Chroomonas),夏秋季主要优势类群为假鱼腥藻属、平裂藻属(Merismopedia)和微囊藻属(Microcystis);中央沙水域浮游植物群落结构变化主要与总氮、总磷、水温等环境因子有关,而南白荡主要与水温、总溶解性盐等环境因子有关,水体流通性差异对此起关键作用. 相似文献
956.
Using the monthly NCEP-NCAR reanalysis dataset, the monthly temperature and precipitation
at surface stations of China, and the MM5 model, we examine impacts of vegetation cover changes in
western China on the interdecadal variability of the summer climate over northwestern China during
the past 30 years. It is found that the summer atmospheric circulation, surface air temperature,
and rainfall in the 1990s were different from those in the 1970s over northwestern China, with
generally more rainfall and higher temperatures in the 1990s. Associated with these changes, an
anomalous wave train appears in the lower troposphere at the midlatitudes of East Asia and the
low-pressure system to the north of the Tibetan Plateau is weaker. Meanwhile, the South Asian
high in the upper troposphere is also located more eastward. Numerical experiments show that
change of vegetation cover in western China generally forces anomalous circulations and
temperatures and rainfall over these regions. This consistency between the observations and
simulations implies that the interdecadal variability of the summer climate over northwestern
China between the 1990s and 1970s may result from a change of vegetation cover over western
China. 相似文献
957.
以2014年、2017年、2020年对应的140、560、1216个美丽乡村为研究对象,运用GIS空间分析方法研究美丽乡村空间格局演变特征,采用地理探测器和多尺度地理加权回归探究美丽乡村空间格局的影响因素及其在空间上的分异。研究表明:① 美丽乡村空间分布的集聚性增强,主要集聚区呈现“带状-网状-面状”分布的演变趋势,热点区由沿海地带向内扩散。② 美丽乡村的空间分异是多因素共同作用的结果,但各影响因素对美丽乡村空间分异的解释度呈显著差异,其中非物质文化遗产、5A级景区、人口密度对美丽乡村空间分布的解释力最大。③ 主要影响因素对美丽乡村空间分布的影响作用存在空间差异,且局部不平衡性显著,正相关和负相关分析单元具有呈块状与带状的聚集特征。 相似文献
958.
959.
960.
The turbulence field of airflow in the lee of a dune has significant impacts on dune dynamics and related processes. We used particle image velocimetry in a wind tunnel simulation to obtain detailed velocity measurements in the lee of two‐dimensional transverse dune models, then used the results to analyse their turbulence fields. The dune models used in this study had a single lee angle of 30°, and a total of six stoss angles: 3°, 5°, 10°, 15°, 20° and 25°. We used vorticity, turbulence intensity, Reynolds stress and turbulent kinetic energy to characterize the turbulence fields. These parameters were functions of stoss angle, wind velocity, distance from the dune crest and height above the ground surface. The stoss angles could generally be divided into two groups based on the profiles of mean velocity, turbulence and Reynolds stress. Stoss angles of 3° and 5° usually had similar profiles, and angles of 15°, 20° and 25° formed a second group with similar profiles. The profiles for the stoss angle of 10° were usually transitional and were intermediate between the two groups. Vorticity, Reynolds stress and turbulent kinetic energy increased monotonically with increasing free‐stream wind velocity, but their variations with respect to the stoss angle were complex. The stoss angles of 15° and 20° had the maximum values of these three parameters, thus these angles may have special significance in dune development given the characteristics of the mean velocity fields and turbulence fields they produce within the lee airflow. It is the streamwise velocity component and its turbulence that determine the surface shear stress. Copyright © 2008 John Wiley and Sons, Ltd. 相似文献