Correlation Analysis of the Runoff of the Rivers and the Seisms in China

In recent hundred years the annual discharge variations of the Changjiang River (represented by the Yichang station) and the Huanghe River (represented by Shanxian and Tangnaihe, respectively) have closely related to the geographical distribution of the earthquakes coming about in China in the same year, Both the occurrence of the destructive seism or seismic swarm in the river basins and the disappearance of the shocks in the east and south of the basins are the conditions that the Changjiang and Huanghe Rivers are the high flow while that the strong earthquake of magnitude 7 or more occurred in North China is the condition for the Changjiang low flow year and that of 6 or more in the Qilian Mountains area is for the Huanghe River. In the latter part of this paper, a 2-year sample is given to explain that the conditions of the 2 rivers being high flow years are that the north-south seismic belt is active and in the meanwhile no seism occurred in South China, and those of the low flow year are that the     

Panderivative blown-up of ground temperature and predicting earthquake

I.IntroductionEarthquakeisanaturalphenomenonofthemovementinsidetheearthitself.Itisalwaysadamageprocesstohumanbeing,biosphereandsoon.itsreflectiollispreltlyseriotls.Itissignificanttoinvestigateitsactivityfeatureandconcerningprocess,tounderstallditsphysicalSubstancetoformulateproventingmeasuresandimprovemonitoringpossibility.Groundthermalheatcurrentcontainsplentit'ulinformationofgeology,geophysicalilndgeochemistry.Itisimportantforgeoscienceresearch.Ithasbeenprovedthatthereexigtgoutgoinggeother…     

A CLIMATIC OSCILLATION MODEL WITH CLOUDINESS AS IMPLICIT VARIABLE

Based on the Tang and Zhong's paper, a new radiation parameterization scheme and a parameterized relation between surface temperature, atmospheric temperature and cloudiness are introduced in this paper. The model is constructed with linear equations and the cloudiness is treated as an implicit variable. The oscillation characteristics of the underlying surface and atmospheric system are discussed for three typical underlying surface conditions. Better results are shown in this improved model than those described in Ref. [1].     

地温“流”泛导的溃变与地震预报

本文在泛系的广义转化、优化和泛导变变关系中的非线性动力系统的溃变理论［１，２］的启发下，利用［２］的方法显化了非线性热传导方程的溃变与实际的地温‘流’演变类似·为此，作者结合１９７６年唐山大地震进行了相应的模拟·结果表明：地震前后的地温‘流’溃变可以用于地震预报，对唐山大地震约有５个月的预见期·若地温‘流’体现地壳运动的不可积的泛导方程，在信息充分的条件下，显化其溃变机理，则地震（地壳断裂）是可预报的     

一个隐含云量的气候振荡模式

本文改进了文献[1]的气候模式,去掉了其中一个不合理的假定。引入Paltridge的辐射参数化方案和地表温度、气温和云量三个变量之间的参数化关系,得到一个以云量为隐合变量的线性方程组。并对三种典型的下垫面状况,讨论了地-气系统的振荡特性。     

江河丰枯与我国地震的相关分析

长江(以宜昌站为代表)和黄河(先后以陕县和唐乃亥为代表)近百年的流量变化与当年我国地震的地理分布(地震场)关系密切,本流域出现强地震(最好是“地震群”),且流域的东、南方无地震(或仅有弱地震)是长江和黄河为丰水年的共同条件,华北的7级大震是使长江枯水的条件;祁连山区的6级以上强震是黄河枯水的条件,最后用两年的个例说明黄河、长江同为多水年的条件是南北地震带活跃,华南无地震;同为少水年的条件是南北地震带中无强震,华南、华北地震强,分析表明:地震活跃区与3.2m地温距平的高温区是基本一致的。