Accurate Location of the Yao＇an Earthquake Sequence and the Yongsheng Earthquake Sequence

The Yao＇an Ms6.5 earthquake occurred on Jan. 15, 2000 and the Yongsheng Ms6.0 earthquake occurred on Oct. 27, 2001 in Yunnan Province, China. They are both located in the middle of the Dian block. Their epicenters are close to each other, the tectonic and strain characters of the earthquakes were similar, and there were many aftershocks after the two main shocks. In order to further study the spatial-temporal distributions and fault rupture characters of the main shocks and aftershocks, the latter are located using the Geiger earthquake location algorithm （Geiger） and the double difference earthquake location algorithm （DD） based on the seismic phase data of the two earthquake sequences. They were recorded by two Near Source Digital Seismic Networks （YNSSN and YSNSSN） deployed by the Yunnan Seismological Bureau （YNSB）. Then, two main shock parameters were relocated using DD based on the data of larger magnitude aftershocks and the two main shocks that were recorded by the Kunming Regional Digital Seismic Network （KMSN）. Combining the spatial- temporal distributions of the two earthquake sequences, the tectonic and strain characters of earthquakes, the rupture processes of the two aftershock sequences along faults are analyzed and discussed contrastively.     

Accurate Location of the Yao''''an Earthquake Sequence and the Yongsheng Earthquake Sequence

INTRODUCTIONEarthquake sequence is a series of centralized earthquake events in space-time after a largerearthquake.Since these earthquake events occur in a small space and are sequential in one specialtime,their seismogenic structure,mediumcharacteristics and earthquake mechanisms must be similar.By studying one earthquake sequence,the seismic activitytrend after a large earthquake can beconjectured.Some characteristics of the earthquake source development process and physic states canal…     

Projected 21st century climate change on snow conditions over Shasta Dam watershed by means of dynamical downscaling

Snow is an important component of the Earth's climate system and is particularly vulnerable to global warming. It has been suggested that warmer temperatures may cause significant declines in snow water content and snow cover duration. In this study, snowfall and snowmelt were projected by means of a regional climate model that was coupled to a physically based snow model over Shasta Dam watershed to assess changes in snow water content and snow cover duration during the 21st century. This physically based snow model requires both physical data and future climate projections. These physical data include topography, soils, vegetation, and land use/land cover, which were collected from associated organizations. The future climate projections were dynamically downscaled by means of the regional climate model under 4 emission scenarios simulated by 2 general circulation models (fifth‐generation of the ECHAM general circulation model and the third‐generation atmospheric general circulation model). The downscaled future projections were bias corrected before projecting snowfall and snowmelt processes over Shasta Dam watershed during 2010–2099. This study's results agree with those of previous studies that projected snow water equivalent is decreasing by 50–80% whereas the fraction of precipitation falling as snowfall is decreasing by 15% to 20%. The obtained projection results show that future snow water content will change in both time and space. Furthermore, the results confirm that physical data such as topography, land cover, and atmospheric–hydrologic data are instrumental in the studies on the impact of climate change on the water resources of a region.     

Nutrients in an oligotrophic boundary current: Evidence of a new role for the Leeuwin Current

New observations along the continental shelf of Western Australia provide a novel explanation for the established ∼60 years relationship between Leeuwin Current (LC) strength and greater winter nitrate concentrations at 32°S plus the inter-annual variation in the magnitude of the annual, shelf-scale, phytoplankton bloom. The potential source of dissolved nitrogen to support the annual shelf scale phytoplankton bloom was identified as thin layers of an unprecedented areal extent, nitrate concentration and shallow nature that were observed off the northwest of Australia. We propose that the dissolved inorganic nitrogen (DIN) in these layers enters the LC at depth and then enters the euphotic zone via by three mechanisms: instability that results in a warm core eddy, cooling that deepens the surface mixed layer and shallowing of the thin layer. During the onset of the annual phytoplankton bloom along the west coast of Australia from 22°S to 34°S the poleward flowing LC was clearly evident as a surface intensified ocean boundary current transporting warmer, lower-salinity, greater-silicate waters in a shallow mixed layer rapidly southward. Between 24 and 26°S the core of the LC was present as a 50–100 m deep layer over one or more thin layers, 15–50 m thick, with high nitrate and low dissolved oxygen (DO). These layers were of lower salinity, cooler water with markedly reduced DO, high nitrate concentrations and distinct nitrate:silicate (NO₃:Si(OH)₄) nutrient ratios. As the LC flowed south it cooled and deepened thereby entraining the thin layers of high nitrate water into the euphotic zone. The LC also formed large (greater than 100 km diameter) warm core eddies with a deep surface mixed layer that also entrained nitrate from these thin layers. In some locations as far south as 32°S the LC was still present with the thin layer of high nitrate intact but now within the euphotic zone. Thus, the available evidence suggests the LC arises under conditions that favour rapid and shallow nitrification. This nitrification fuels a shelf-scale bloom on a downwelling favourable coast. Depending upon the rate of nitrification the source of the particular organic matter may be local or delivered from the tropics via horizontal advection in a subsurface layer of the LC.     

A spectroscopic study of DD UMa: Ursa Major group member and candidate for BRITE

The Ursa Major group is a nearby stellar supercluster which, while not gravitationally bound, is defined by co-moving members. DD UMa is a δ Scuti star whose membership in the Ursa Major group is unclear.The objective of this study is to confirm the membership of DD UMa in the Ursa Major group, as well as perform a detailed spectral analysis of the star. Since DD UMa is a low-amplitude δ Scuti star, we performed a frequency analysis. We determined fundamental parameters, chemical abundances, and derive a mass and age for the star.For this study we observed DD UMa at the Okayama Astrophysical Observatory with the high-resolution spectrograph HIDES, between the 27th of February and the 4th March, 2009. Additional observations were extracted from the ELODIE archive in order to expand our abundance analysis. Group membership of DD UMa was assessed by examining the velocity of the star in Galactic coordinates. Pulsational frequencies were determined by examining line profile variability in the HIDES spectra. Stellar fundamental parameters and chemical abundances were derived by fitting synthetic spectra to both the HIDES and ELODIE observations.DD UMa is found to be a member of the extended stream of the Ursa Major group, based on the space motion of the star. This is supported by the chemical abundances of the star being consistent with those of Ursa Major group members. The star is found to be chemically solar, with T_eff = 7450 ± 150 K and logg = 3.98 ± 0.2. We found pulsational frequencies of 9.4 and 15.0 c/d. While these frequencies are insufficient to perform an asteroseismic study, DD UMa is a good bright star candidate for future study by the BRITE-constellation.     

卫星间水平距离对双差电离层残差的影响分析

基于TCAR方法,对影响模糊度固定的电离层残差因素进行分析,指出同测站间基线的长短一样,差分卫星间的水平距离也能够影响双差电离层残差的大小,并用实测北斗三频数据验证。实验结果表明对17km短基线,较大的差分卫星间水平距离会降低窄巷模糊度固定的成功率;而对于72.6km的中等长度基线,当双差卫星间水平距离减小时双差电离层残差随之减小,利于窄巷模糊度的固定。     

南海及其邻近地区几种常用降雨产品的相互比较

对南海及其邻近区域内3种比较常用的降雨产品进行了比较和分析。结果表明,在南海地区3种降雨量在空间上具有一致的大尺度分布特征,都能够很好地反映行星尺度雨带的季节性迁移特征;在细节上,三者之间存在明显差异,比较而言,GPCP-1DD(Global Precipitation Climatology Project,1 Degree Daily Precipitation Estimate)和TRMM-PR(Topical Rainfall Measurment Mission,Precipitation Radar)具有更为一致的空间分布特征,更能够反映降雨量在高大山地地形两侧的分布差异;3种资料都能够反映由地面台站资料反映出的局地区域降雨量季节和年际变化的基本特征,总体而言,GPCP-1DD和CMAP(CPC Merged Analysisof Precipitation)与地面观测结果更为接近,但是在反映极端降雨事件方面TRMM-PR略优于其它2种资料。     

江苏中、南部及邻区地震重新定位及在断层研究中的应用

本文分析了地震相对定位的双差法和地壳结构与定位联合反演方法的优势与局限性,在联合反演中用遗传算法最优化,将上述两种方法结合,对江苏省中南部和相邻地区进行地震重新精定位.先对研究区进行地壳结构与定位联合反演,然后用得到的地壳结构,用双差法进行相对定位.就该区主要断层的平面分布及与地震的关系,溧阳6.0级地震、南黄海6.2级地震、常熟-太仓5.1级地震的震源深度与发震构造,常熟一张家港间震群的震源深度进行了分析讨论.