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141.
142.
青藏高原雪盖对亚洲季风影响研究进展   总被引:17,自引:9,他引:8  
杨梅学 《冰川冻土》1998,20(2):186-191
资料分析和数值模拟均表明,青藏高原作为一个特殊的抬高了的下垫面,其上雪盖面积和积雪日数等的异常均与亚洲夏季风的强弱及起讫有关.雪盖面积大、积雪日数多的年份,亚洲季风弱且爆发迟,推进慢;雪盖面积小、积雪日数少的年份,亚洲季风强且爆发早,推进快.但也存在不同的看法  相似文献   
143.
青藏高原积雪分布与变化特征   总被引:45,自引:1,他引:44  
柯长青  李培基 《地理学报》1998,53(3):209-215
本文对青藏高原SMMR修积雪深度、NOAA周积雪面积、地面台站积雪深度进行了分析。结果表明青藏高原东西两侧多雪与腹地少雪形成鲜明对比,高原东部是高原积雪年际变化最显著的地区,它主导了整个高原积雪的年际变化,并且与西部多雪区年际波动呈反位相关系。从60年代到80年代积雪年际波动幅度有明显增加趋势,积雪变化具有3年左右准周期。随着全球变暖,青藏高原积雪将会有所增加。  相似文献   
144.
中国南方中新生代大地构造属性和南华造山带褶皱过程   总被引:35,自引:3,他引:32  
郭福祥 《地质学报》1998,72(1):22-23
笔者阐述了中国南方中新生代大地构造属性是陆上三向造山带,是在陆上无海侵的大地构造环境下,由特提斯,北西太平洋和昆仑-秦岭三大构造域相互作用形成的具有NW、NE、WNW三向优徒选大地构造线的造山带 ,是由晚二叠世以来多期次继承性造山运动累积辍  相似文献   
145.
1 INTRODUCTIONTherecentandfuturedevelopmentofspacebasedremotesensingtechnologyhasbroughtareformationtoresearchworkaswellasformulatingsuitablepolicyforpopulation,resources,environmentanddevelopment.Throughrealtimeandperiodicobservationsofalargear…  相似文献   
146.
Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.  相似文献   
147.
In this paper, we apply lagged correlation analysis to study the effects of vegetation cover on the summer climate in different zones of China, using NOAA/AVHRR normalized difference vegetation index (NDVI) data during the time period from 1982 to 2001 and climate data of 365 meteorological stations across China (precipitation from 1982 to 2001 and temperature from 1982 to 1998). The results show that there are positive correlations between spring NDVI and summer climate (temperature and precipitation) in m...  相似文献   
148.
In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach.  相似文献   
149.
Potential evapotranspiration (PET) is a key input to hydrological models. Its estimation has often been via the Penman–Monteith (P–M) equation, most recently in the form of an estimate of reference evapotranspiration (RET) as recommended by FAO‐56. In this paper the Shuttleworth–Wallace (S–W) model is implemented to estimate PET directly in a form that recognizes vegetation diversity and temporal change without reference to experimental measurements and without calibration. The threshold values of vegetation parameters are drawn from the literature based on the International Geosphere–Biosphere Programme land cover classification. The spatial and temporal variation of the LAI of vegetation is derived from the composite NOAA‐AVHRR normalized difference vegetation index (NDVI) using a method based on the SiB2 model, and the Climate Research Unit database is used to provide the required meteorological data. All these data inputs are publicly and globally available. Consequently, the implementation of the S–W model developed in this study is applicable at the global scale, an essential requirement if it is to be applied in data‐poor or ungauged large basins. A comparison is made between the FAO‐56 method and the S–W model when applied to the Yellow River basin for the whole of the last century. The resulting estimates of RET and PET and their association with vegetation types and leaf area index (LAI) are examined over the whole basin both annual and monthly and at six specific points. The effect of NDVI on the PET estimate is further evaluated by replacing the monthly NDVI product with the 10‐day product. Multiple regression relationships between monthly PET, RET, LAI, and climatic variables are explored for categories of vegetation types. The estimated RET is a good climatic index that adequately reflects the temporal change and spatial distribution of climate over the basin, but the PET estimated using the S–W model not only reflects the changes in climate, but also the vegetation distribution and the development of vegetation in response to climate. Although good statistical relationships can be established between PET, RET and/or climatic variables, applying these relationships likely will result in large errors because of the strong non‐linearity and scatter between the PET and the LAI of vegetation. It is concluded that use of the implementation of the S–W model described in this study results in a physically sound estimate of PET that accounts for changing land surface conditions. Copyright © 2006 John Wiley & Sons, Ltd.  相似文献   
150.
不同植被盖度沙质草地生长季土壤水分动态   总被引:1,自引:1,他引:1  
水分是干旱半干旱沙地生态系统最大的限制因子,研究植被盖度和土壤水分之间的关系有助于沙地生态恢复和保护。基于生长季科尔沁沙质草地不同植被盖度下土壤水分动态和降水的观测试验,分析了沙质草地植被盖度和土壤水分的耦合关系。结果表明:在土壤剖面上土壤水分存在明显的分层结构,依次为水分剧变层(0~40 cm)、缓变层(40~100 cm)和稳定层(100~180 cm);植被盖度对土壤水分有很大影响,不同植被盖度下土壤含水量存在显著差异,土壤水分与盖度之间呈倒“V”型关系,土壤水分状况在28%的盖度下最优;不同的植被盖度下土壤水分对降水的响应也存在差异,在13%盖度下响应最敏感,28%和46%的盖度下响应微弱,后二者的土壤水分也相对稳定。在沙地生态恢复建设过程中合理的植被盖度配置可提高降水利用效率,并能使土壤水分和植被达到一种良好的平衡状态,从而有利于生态系统的稳定。  相似文献   
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