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101.
王治平  刘耀宗 《气象》1997,23(6):49-52
介绍了单块积云的雷达回波参数与降雨参数的一元、二元回归分析分析结果表明,单块积云的降雨量、雨强和持续时间与雷达皮的顶高、面积的相关性较好。  相似文献   
102.
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   
103.
影响上海市地价空间分布的区位因子分析   总被引:28,自引:5,他引:28  
杜德斌  徐建刚 《地理学报》1997,52(5):403-411
本文采用GIS技术和多元线性回归分析方法,以土地批租地块为样本,分析上海市地价与城市区位因子的线性关系。回归分析结果表明;南京路,市中心和淮海路是影响上海市寺价空间差异的主要区位因子,外滩,次级商业中心和交通结节点对地价的影响很小,表明上海市地价的空间分布具有很高的向心性。  相似文献   
104.
105.
本文利用横向各向同性介质(TIM)中的传播矩阵和面波形成条件,导出了面波波慢度方程。对瑞利波给出了各向同性及横向各向同性弹性介质中其相速度的解析解;对于勒夫波,给出了横向各向同性介质中的波慢度方程。  相似文献   
106.
Hydrologic regionalization is a useful tool that allows for the transfer of hydrological information from gaged sites to ungaged sites. This study developed regional regression equations that relate the two parameters in Nash's IUH model to the basin characteristics for 42 major watersheds in Taiwan. In the process of developing the regional equations, different regression procedures including the conventional univariate regression, multivariate regression, and seemingly unrelated regression were used. Multivariate regression and seeming unrelated regression were applied because there exists a rather strong correlation between the Nash's IUH parameters. Furthermore, a validation study was conducted to examine the predictability of regional equations derived by different regression procedures. The study indicates that hydrologic regionalization involving several dependent variables should consider their correlations in the process of establishing the regional equations. The consideration of such correlation will enhance the predictability of resulting regional equations as compared with the ones from the conventional univariate regression procedure.  相似文献   
107.
The varve data-set from a freeze-core taken in the deepest part of Baldeggersee was subjected to different multivariate statistical analyses in order to estimate the amount of variance in the varve thickness measures explicable by past climate and by the trophic state of the lake. A comparison of two different time-periods (1902 to1992 versus 1920 to 1980) revealed that the lake restoration programme since 1982 has had a significant impact on the formation of the seasonal layers. Results of the partitioning of the variance in the varve thickness measures showed that about two thirds of the variance are unexplained by a climate and trophic state model and that trophic state explains 6%, whereas climate accounts for about 28% of the variance before the effect of lake restoration had a strong impact on the varves. Among the climate parameters the amount of annual precipitation is a strong predictor for explaining the thickness of both dark layer and total couplet thickness, whereas summer precipitation is important for the thickness of the light layer.  相似文献   
108.
Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.  相似文献   
109.
The gas field in the center of Ordos Basin has been conventionally considered as a large gas pool with thin reservoirs. However, lots of phenomena contrary to this concept occur in the exploration and production process. It is proposed that the gas field is composed of many small lithological gas pools, sourced from and reservoired in the same Ordovician formation which is an underpressured fluid compartment. A dynamic equilibrium moldel of natural gas migration and accumulation has been developed to illustrate the formation mechanism of these gas pools.  相似文献   
110.
Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.  相似文献   
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