共查询到19条相似文献，搜索用时 328 毫秒
1.
重庆地面最高气温与最大风速年极值的渐近分布 总被引：3，自引：0，他引：3
利用重庆1951-1990年间地面最高气温和1956-1990年间地面最大风速年极值的记录,采用韦伯分布和耿贝尔分布分别对其渐近分布进行拟合.通过统计推断,找出重庆地面最高气温和地面最大风速年极值遵循的最佳渐近分布--韦伯分布. 相似文献
2.
利用重庆 1951-1996 年间 46 年地面气温年极小值的记录,采用韦伯分布和耿贝尔分布分别进行拟合试验.通过统计推断和对比,找出重庆地面最低气温年极值遵循的最佳渐近分布--韦伯分布. 相似文献
3.
利用成都１９３３～１９９２年间的地面最低气温年极值记录，采用韦伯分布和耿贝尔分布，分别对其进行了渐近分布拟合。通过统计推断，找出了成都地面最低气温年极值所遵循的最佳渐近分布——韦伯分布。 相似文献
4.
利用１９３３～１９９２年期间成都地面最高气温和地面最大风速年极值的记录，通过统计推断，找出了成都地面最高气温年极值和地面最大风速年极值遵循的渐近分布——Ｗｅｉｂｕｌ分布和Ｇｕｍｂｅｌ分布，并讨论了它们的参数估计方法。 相似文献
5.
成都地面风速年极值的4种分布函数拟合结果的比较 总被引：4，自引：0，他引：4
分别用Webukk分布，Gumbel分布，Pearson Ⅲ分布和对数正态分布拟合成都1993－1997年间地面风速年极大值的渐近分布，其结果表明Gumbel分布和对数正态分布拟合效果最好。 相似文献
6.
成都日降水量年极大值的渐近分布 总被引：2，自引：0，他引：2
利用1951－1999年成都日降水量年极大值的记录，通过统计推断，找出了成都日降水量年极大值遵循的渐近分布。讨论了两种分布－皮迩逊Ⅲ型分布、对数正态分布，并比较了它们的拟合效果，最后得出成都日降水量年极大值较好地遵循对数正态分布，并讨论了它们的参数估计方法。 相似文献
7.
为了了解重庆地区的暴雨灾害的风险规律,减少该地区暴雨引起的灾害损失。利用重庆地区34个地面气象观测站的气温观测资料(1981~2010年),结合信息扩散理论模型,分析了重庆地区的暴雨风险规律。结果显示:重庆地区多年平均暴雨日数多在2~5d,总体呈现南多北少的分布特征,并呈明显的下降趋势;平均暴雨雨量的分布基本特征为长江以北高于长江以南的地区;重庆地区4个代表站的暴雨日数风险概率曲线均为单峰型,在2~4d的值域上所占的比例最大;从暴雨灾害风险空间分布来看,随着暴雨量级的增加,灾害出现的概率也随之减小。 相似文献
8.
地面反射率与若干气象因子关系的初步分析 总被引：2，自引：0，他引：2
陈向红 《成都信息工程学院学报》1999,(3)
利用中国１４个代表站１９８６～１９９０年地面反射率的实际资料，分析了地面反射率与若干气象影响因子（如气温、湿度、降水和积雪）的关系，进而用回归拟合法得出了几种用常规气象资料估算地面反射率的方法。 相似文献
9.
利用湖南地区长沙、怀化、郴州3个探空站连续3 a（2012～2014年）的观测数据，以数值积分法计算的大气加权平均温度（Tm）作为参考值，分析Tm与地面气温Ts、水汽压es及大气压Ps之间的相关性，并基于最小二乘原理建立湖南地区多因子Tm模型。研究结果表明，Tm与地面温度Ts和水汽压es呈正相关性，与大气压Ps呈负相关；Bevis模型的Tm偏差主要分布在0～4 K之间，存在一定的系统偏差，而基于Ts单因子的Tm模型偏差主要分布在-2~3 K之间；双因子与三因子精度相当，但均优于单因子模型。总体而言，基于地面气温Ts和水汽压es的双因子Tm模型的精度优于基于Ts的单因子模型，更优于Bevis模型，适用于湖南地区的GPS气象研究及业务应用。 相似文献
10.
本文用平均风速和最大风速法对若尔盖等三地的韦伯分布参数k、c进行估算,并用韦伯分布计算风能的指标。计算表明:若尔盖、红原属风能可利用区,用风力发电是有利用价值的;阿坝属风能贫乏地区。 相似文献
11.
强降水的GP分布拟合 总被引：1，自引：0，他引：1
邹波 《成都信息工程学院学报》2002,17(2):101-104
根据极值理论中处于重要地位的GP分布模型，讨论了模型中的形状参数、位置参数及尺度参数的算法，并将其用于拟合呈偏斜状态的月和日降水量资料中强降水部分，得到强降水发生的直观年数。 相似文献
12.
Bioaerosols were collected by using a six-stage bioaerosols sampler from September 2007 to August 2008 in the coastal region of Qingdao, China. The terrestrial and marine microbes(including bacteria and fungi) were analyzed in order to understand the distribution features of bioaerosols. The results show that the average monthly concentrations of terrestrial bacteria, marine bacteria, terrestrial fungi and marine fungi are in the ranges of 80–615 CFU m-3, 91–468 CFU m-3, 76–647 CFU m-3 and 231–1959 CFU m-3, respectively. The concentrations of terrestrial bacteria, marine bacteria, terrestrial fungi, marine fungi and total microbes are the highest in each microbial category during fall, high in spring, and the lowest in the summer and winter. The bacterial particles are coarse in spring, autumn and winter. The sizes of fungal particle present the log-normal distribution in all the seasons. 相似文献
13.
Chengwen WANG Songmei ZHANG.College of Earth Sciences Jilin University Changchun China.College of Resources Science & Technology Beijing Normal University Beijing China 《东北亚地学研究》2008,11(2):59-77
By reasearch on geographic distribution, nine genera in bipolar distribution are selected from Permian brachiopods. These taxa originated from middle-high latitude areas in the boreal realm, of which five genera were derived from Late Carboniferous, and other four genera originated from Permian. They were all in bipolar distribution during some different stages in Permian. Specific diversity for each genus was high in the boreal realm, whereas in the Gondwana realm was very low. Perdurability was long in the boreal realm, and short in the Gondwana realm. It was the time when these nine genera came to their maximum diversity that these genera appeared in the Gondwana and formed bipolar distribution; while they also migrated to the low latitude from high latitude. This shows very close relationship between several main cooling events in Permian and the migration of genera from the boreal realm to the Gondwana reahn through the Tethys. Therefore, the cooling events might be the main drive which caused these cold-water-type brachiopods migrated to the Gondwana realm and being bipolar distribution. In this process, the planula tolerance to warm water would be another important factor. 相似文献
14.
Mechanism on bipolar distribution of Permian brachiopods 总被引：1，自引：1，他引：0
By reasearch on geographic distribution, nine genera in bipolar distribution are selected from Permian brachiopods. These taxa originated from middle-high latitude areas in the boreal realm, of which five genera were derived from Late Carboniferous, and other four genera originated from Permian. They were all in bipolar distribution during some different stages in Permian. Specific diversity for each genus was high in the boreal realm, whereas in the Gondwana realm was very low. Perdurability was long in the boreal realm, and short in the Gondwana realm. It was the time when these nine genera came to their maximum diversity that these genera appeared in the Gondwana and formed bipolar distribution; while they also migrated to the low latitude from high latitude. This shows very close relationship between several main cooling events in Permian and the migration of genera from the boreal realm to the Gondwana realm through the Tethys. Therefore, the cooling events might be the main drive which caused these cold-water-type brachiopods migrated to the Gondwana realm and being bipolar distribution. In this process, the planula tolerance to warm water would be another important factor. 相似文献
15.
Modern industry in northeast China started from light industry. From the end of 19th century to 1931 was the phase of initial development of light industry in northeast China. During this period, the development of light industry gave priority to grain processing industry. After occupying northeast China, Japanese vigorously developed heavy industry to meet the needs of munitions and paid more attention to raw materials and semi-finished articles industry for the purpose of the war. Light industry was impeded and developed slowly. After the founding of New China, large-scale economic construction took place in northeast and heavy industry received prior investment and equipment. Northeast region became the first heavy industry base through several five-year plans, the development of light industry made giant strides. The present features of light industry distribution are: difference of light industry distribution, similarity of light industry structure, and imbalance of light industry development. The 相似文献
16.
ＴＨＥＥＶＯＬＵＴＩＯＮＯＦＳＥＴＴＬＥＭＥＮＴＬＯＣＡＴＩＯＮＡＮＤＤＩＳＴＲＩＢＵＴＩＯＮＩＮＵＲＢＡＮＲＵＲＡＬＩＮＴＥＧＲＡＴＩＯＮＬｉａｏＲｏｎｇｈｕａ（廖荣华）ＣｈｅｎＸｉａｎｇｍａｎ（陈湘满）ＤｅｐａｒｔｍｅｎｔｏｆＧｅｏｇｒａｐｈｙ... 相似文献
17.
The urban-rural integration is an inevitable outcome of regional economic development in a certain stage and is objectively
exhibited as the evolution of settlement location and distribution, that is, the turning from spot-distribution to area-distribution
of the settlement in developed areas, while in less developed areas, from spet-distribution to linear distribution. The evolution
of the settlement location and distribution is an inevitable result of economic development in the urban-rural integration,
which is restricted by factors affecting economic development, on the other hand, it is also an important factor affecting
and restricting economic development. In the process of the urban-rural integration, modern transportation orientation, modern
market orientation, modern industrial orientation and modern population orientation are important motive force, and influence
the basic pattern of the settlement location and distribution, which plays a speeding or delaying role in regional economic
development. 相似文献
18.
SoildaSSificationPlays~rolesinsoilsUrVey,soilmappingandagriculturaltechnologytranSferinthelightoflocalconditions.ItisalsothemediumofsoilsciencecornmunicationamongdomesticandinternationalscholarS.MOber,thesurveyandevaluationoftricultUralnatalsoarealways~onthesoilclaSSification:firstly,theproperties,typeSanddistributionSofAmsmustbesurveyed;thenthesoiladaptationandproductionPOtentialcanbeevaluated.This'isoneofthemostimportantandbasicworkintheinvestigatignofagricultUralsituation.I.~~or~occu… 相似文献
19.
This study deals with the development of statistical modeling for water wave surface elevation by using a method that combines a dynamic solution with random process statistics. Ocean wave data taken from four NOAA (National Oceanic and Atmospheric Administration) buoys moored in the northeast Pacific were used to validate the model. The results indicated that the nonlinear probability density distribution of ocean wave surface elevation derived from the model described the measurements much better than Gaussian distribution and Longuet-Higgins distribution. 相似文献