塑膜温室油桃休眠期的温度变化     

孙智辉  吴刚  吴涛 《山西气象》2003,(4):15-16

本文详尽分析了冰岛低压和大西洋高压的长期变化规律，发现两者均具有明显的阶段性变化，而且冰岛低压和大西洋高压的强度具有明显的反相关。同时，还分析了大西洋高压和冰岛低压与我国气候的关系，发现大西洋高压与我国冬季气温基本呈正相关，而冰岛低压与我国气温大致呈反相关，但均没有显著影响，所以两者都不是影响我国气候变化的重要天气系统。  相似文献   

1998年夏季青藏高原及其邻近地区地面总热源季节变化特征及其与西太平洋副热带地区对流的关系   总被引：3，自引：0，他引：3  

LI Wei  CHEN Longxun 《大气科学进展》2003,20(3):343-348

利用98’TIPEX实验资料、1998年5-8月青藏高原6个自动热量平衡站(AWS)资料、青藏高原常规观测资料、中国300多个站的逐日降水资料、国家卫星中心接收的1998年5-8月OLR和日本GMS的TBB资料,研究了1998年5-8月青藏高原及其邻近地区逐日地面总热源的季节变化特征及其与西太平洋副热带地区对流的关系。结果表明:高原地面总热源与高原雨季开始有密切关系,高原雨季开始以后,高原平均的地面总热源明显减小;高原平均的地面总热源与20—30°N附近的西太平洋副热带地区的TBB有很好的负相关关系,表明高原地面总热源可以通过某种机制影响副热带地区的对流。  相似文献   

1997年4月6日、11日、16日新疆伽师4次6.3～6.6级地震烈度分布及震害特征   总被引：3，自引：0，他引：3  

罗福忠  张云峰  吕桂林  王坚  胡伟华 《内陆地震》1997,(4)

1997年4月6日、11日、16日新疆伽师继1月21日和3月1日3次6级以上地震之后又连续发生了4次6级以上地震。极震区烈度达Ⅷ度．极震区内的英买里乡所有Ⅰ类房屋几乎全部倒塌或严重破坏；江巴孜乡、和夏阿瓦提乡、克孜勒苏乡和巴仁镇的大部分房屋倒塌或严重破坏。在地下水位高、土质松散地区出现大面积喷水冒砂与地裂缝。根据震害评估与宏观考察资料，介绍了各烈度区的震害特征。  相似文献   

副高持续偏强对福建气候的影响          下载免费PDF全文

许金镜  唐文伟  林仲平 《气象》1997,23(1):36-37

作者以１９５１－１９９５年副高持征量的气温、降水等气象要素为素材，分析了副高持续性偏强的基本事实和对福建天气气候的影响。  相似文献   

地壳磁化强度模型和居里等温面   总被引：3，自引：0，他引：3       下载免费PDF全文

徐元芳  D．R．Barraclough  D．J．Kerridge 《地球物理学报》1997,(4)

利用卫星观测的长波磁异常，用等效偶极源方法推导了中国地区的视磁化强度分布．因卫星的高度远大于磁性地壳的厚度，将视磁化强度转换成磁化强度的垂直积分，它代表地壳内磁性物质的区域变化，利用视磁化强度与地表热流相应关系，计算了中国的新疆和东部一些地区居里等温面的深度．新疆地区的居里面深度为35-50km，其分布形态与塔里木盆地和准噶尔盆地的地貌比较相似；中国东部一些地区居里面深度在20-40km之间，与一些作者用航磁等数据得到的居里深度十分接近．  相似文献   

地磁1年周期变化的响应函数     

陈伯舫 《地震地磁观测与研究》1997,18(2):40-44

用通日月均值减去夜均值计算的月均值资料和Ｓｏｍｐｉ谱分析法分析了１４个台站的北向分量１年周期变化的振幅向相位，时段为１９８４－１９８８年。分析结果显示用Ｐ＾０ｎ（ｄｎｄ＝１，…，６）复合模式的估算的Ｃ值较合理。各台的Ｃ值比较一致。  相似文献   

11 million years of Oligocene geomagnetic field behaviour   总被引：2，自引：0，他引：2  

Lisa Tauxe  Paul Hartl 《Geophysical Journal International》1997,128(1):217-229

An 11 million year long record of the Oligocene geomagnetic field has been obtained from pelagic sediments of DSDP Hole 522 An average sample spacing of 4 cm yielded approximately one specimen per 4 to 8 kyr. The rock magnetics are remarkabh consistent across the entire interval. Previous work demonstrated a magnetic mineralogy dominated by magnetically stable magnetite. The natural remanent magnetism (NRM) carries an Oligocene polarity timescale that is in excellent agreement with the Oligocene reversal record as determined from marine magnetic anomalies (MMAs), including many of the so-called 'crypto-chrons'. Normalized NRM intensities from the undisturbed portions of the record yield a time series of variations with features consistent with a number of other palaeointensity time series derived from both sedimentary and lava sequences. These features include consistent, major decreases in palaeointensity (DIPs) at reversal boundaries, and occasional DIPs between reversal boundaries that could correspond to lineated 'tiny wiggles' in the MMA records. The data set suggests that the overall field strength was 40 per cent higher in the first half of the Oligocene when the average reversal frequency was 1.6 Myr^-1 than in the second half when the reversal frequency was 4 Myr^-1. There is also a weak dependence of average field strength on length of polarity interval. Finally, in the three cores suited to spectral analysis (of coherent polarity and relative intensity independent of lithological contamination), there is a persistent ca. 30–50ka periodicity in the variations of the relative intensity, suggesting that the geomagnetic field 'pulses' at about this frequency, not only during the Brunhes (as demonstrated by Tauxe & Shackleton 1994), but in the Oligocene as well.  相似文献   

Neural dynamic modelling on earthquake magnitude series     

Xia-ting Feng  M. Seto  K. Katsuyama 《Geophysical Journal International》1997,128(3):547-556

Earthquake magnitude prediction is of vital importance for human safety. The earthquake is a very complicated and non-linear dynamic process. It cannot be described adequately by any deterministic models. In this paper a neural dynamic modelling for earthquake magnitude prediction is reported. Historical records of earthquake magnitude series are used to construct the optimal non-linear dynamic model, and the consequent outcome of the earthquake behaviour is then predicted by this model. In turn, the latest recorded data set can be fed back to improve the accuracy of the neural dynamic model. The modelling of experiments of three earthquake magnitude series in China and Japan and their extrapolated predictions are included in this paper. The values predicted by extrapolation are in good agreement with the historical data.  相似文献   

Preliminary palaeomagnetic results of an Archaean dolerite dyke of west Greenland: geomagnetic field intensity at 2.8 Ga     

Chiyo Morimoto  Yo-ichiro Otofuji  Masako Miki  Hidefumi Tanaka  Tetsumaru Itaya 《Geophysical Journal International》1997,128(3):585-593

The geomagnetic field intensity during Archaean times is evaluated from a palaeomagnetic and chronological study of a dolerite dyke intruded into the 3000 Ma Nuuk Gneisses at Nuuk (64.2°N, 51.7°W), west Greenland. Plagioclase from the dolerite dyke yields a mean K-Ar age of 2752 Ma. Palaeomagnetic directions after thermal demagnetization of the dyke and the gneiss reveal a positive baked-contact test, indicating that the high-temperature-component magnetization of the dyke is primary. Thellier experiments on 12 dyke specimens yield a palaeointensity value of 13.5±4.4 μT. The virtual dipole moment at ca. 2.8 Ga is 1.9±0.6 × 10²² Am², which is about one-quarter of the present value. The present study and other available data imply that the Earth's magnetic field at 2.7 ∼ 2.8 Ga was characterized by a weak dipole moment and that a fairly strong geomagnetic field similar to the present intensity followed the weak field after ca. 2.6 Ga.  相似文献   

A model for the Am (Km) planetary geomagnetic activity index and application to prediction     

Christian Francq  Michel Menvielle 《Geophysical Journal International》1996,125(3):729-746

We studied the existence of dynamical stochastic relations in the evolution of the am index. A first analysis of the autocorrelation functions showed evidence of several seasonalities. We first used linear (ARMA) models, and it was found that these do not account for the whole internal dynamics of the data series. We then used various non-linear models to provide a better fit to reality. The forecast performances of the non-linear models are not significantly different from those of the linear model. We give a tentative explanation for the failure of the non-linear predictions. Finally, ARCH models were used in order to take into account the fact that the confidence interval for the predicted value depends on past observations.  相似文献