"2005-05-31"暴雨天气过程多普勒雷达回波分析   总被引：1，自引：0，他引：1  

赵杰 《贵州气象》2005,29(Z1):28-30

通过对2005年5月31日贵州省一次强降水的雷达回波强度、速度的分析,发现此次暴雨过程具有较为典型的冷锋过境的雷达回波特征,暴雨落区与雷达回波强度、移速有关,暴雨出现在逆风区附近.  相似文献   

Apple orchard characterization using remote sensing and DEM - A case study for the Kotkhai block of the Shimla District     

Nitin Bhatt  N. S. Mehta 《Journal of the Indian Society of Remote Sensing》2005,33(1):127-130

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Spatial modelling for biological richness analysis in Nokrek biosphere reserve — north-eastern India     

G. Talukdar  N. Lele  M. C. Porwal 《Journal of the Indian Society of Remote Sensing》2005,33(3):435-440

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Hydrological studies of ghoradongri watershed of Betul district, Madhya Pradesh     

R. K. Trivedi  R. M. Singh  N. K. Tiwari 《Journal of the Indian Society of Remote Sensing》2005,33(3):421-428

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卫星遥感资料在森林火灾监测中的应用   总被引：1，自引：0，他引：1  

张广英  赵明文  王付华 《黑龙江气象》2005,(1):35-35,40

1引言 大兴安岭林区是我国重要的林业基地，近几年，由于气候干旱和火灾造成的损失越来越严重，气象卫星监测林火在森林防火工作中发挥了重要的作用，但卫星资料在森林保护工作中应用还存在一定的局限性，通过介绍卫星遥感技术应用同时，旨在拓宽思路，为大兴安岭森林生态系统的建设提供更完善的卫星遥感应用服务。  相似文献   

祁连山林区大气降水特征与森林对降水的截留作用   总被引：30，自引：3，他引：30  

常学向  赵爱芬  王金叶  常宗强  金博文 《高原气象》2002,21(3):274-280

通过对连山寺大隆林区定位站1975－2000年的降水特征与森林对降水的再分配分析，建立了祁连山大隆林区降水与温度，降水与湿度，林冠截留的关系式。该区多年平均降水量为433.5mm，年变幅在326.4-539.7mm;降水量最大出现在夏季，占全年降水量的65．70％；海拔高度每升高100m，年了量平均递增4．55％，林区温度和湿度均与降水有较好的拟合关系。青海云杉林与祁连圆柏林林冠对大气降水的平均截留率分别为37．5％，31．7％，灌木林的截留率平均高达66．5％。青海云杉林林冠层平均截留率随着降雨量的增大逐渐减小，当降雨量为18.67mm时，林冠截留量达到最大，为14.72mm；青海云杉树干径流量占降水量的0．51％，当降雨量超过12.0mm时，才开始产生树干径流。青海云杉林枯枝落叶层对降雨的截留量随降雨量级增加而增大，截留率则随降雨量减小而增大，枯枝落叶层所具有的截留降雨和调蓄降雨作用使祁连山林区基本不发生地表径流。分析结果表明，祁连山林区对水源涵养和水流出山的时间调控有重要意义。  相似文献   

Andrew Goudie: 2000, The Human Impact on the Natural Environment (5th edn.), and Jill Schneiderman (ed.): 2000, The Earth Around Us. Maintaining a Livable Planet     

Kai N. Lee 《Climatic change》2002,54(1-2):247-248

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An algorithm for determination of aerosol opticalthickness from AVHRR imagery over oceans     

F. Zhao  Y. Li  C. Dong  N. Lu 《Meteorology and Atmospheric Physics》2002,80(1-4):73-88

Summary The uncertainty in aerosol size distributions is a main source of errors in aerosol optical thickness determined from satellite measurements. To reduce the errors resulting from the uncertainty in aerosol size distributions, we have performed sensitivity analyses. It is found the errors resulting from the uncertainty in aerosol size distribution can be considerably reduced by using the Junge power law to approximate the aerosol size distribution in an actual atmosphere, if the exponent value is determined at the same time. An iterative algorithm is then developed for the simultaneous determination of aerosol optical thickness and the exponent of the Junge power law over ocean areas from the upwelling radiances measured in AVHRR visible and near infrared channels. A number of numerical experiments are carried out to investigate the validity of the Junge power law approximation by assuming the aerosol size distributions in an actual atmosphere are bimodal with different mode parameters, and by using the actual aerosol size distributions determined at several places by Kaufman et al. (1994). The results show that the errors in determined aerosol optical thickness resulting from the Junge power law approach are significantly reduced. The iterative algorithm is investigated further by comparing the aerosol optical thickness deduced from satellite measurement with that observed by a sun photometer. Received October 10, 2001 Revised December 28, 2001  相似文献   

A coupled climate model simulation of the Last Glacial Maximum, Part 1: transient multi-decadal response   总被引：2，自引：1，他引：2  

S.-J. Kim  G. Flato  G. Boer  N. McFarlane 《Climate Dynamics》2002,19(5-6):515-537

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Using Remote Sensing to Assess Russian Forest Fire Carbon Emissions   总被引：7，自引：0，他引：7  

A. S. Isaev  G. N. Korovin  S. A. Bartalev  D. V. Ershov  A. Janetos  E. S. Kasischke  H. H. Shugart  N. H. F. French  B. E. Orlick  T. L. Murphy 《Climatic change》2002,55(1-2):235-249

Russian boreal forests are subject to frequent wildfires. The resulting combustion of large amounts of biomass not only transforms forest vegetation, but it also creates significant carbon emissions that total, according to some authors, from 35–94 Mt C per year. These carbon emissions from forest fires should be considered an important part of the forest ecosystem carbon balance and a significant influence on atmospheric trace gases. In this paper we discuss a new method to assess forest fire damage. This method is based on using multi-spectral high-resolution satellite images, large-scale aerial photography, and declassified images obtained from the space-borne national security systems. A normalized difference vegetation index (NDVI) difference image was produced from pre- and post-fire satellite images from SPOT/HRVIR and RESURS-O/MSU-E images. A close relationship was found between values of the NDVI difference image and forest damage level. High-resolution satellite data and large-scale aerial-photos were used to calibrate the NDVI-derived forest damage map. The method was used for mapping of forest fire extent and damage and for estimating carbon emissions from burned forest areas.  相似文献