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91.
92.
Fault Characteristics in Longmen Mountain Thrust Belt,Western Sichuan Foreland Basin,China 总被引:1,自引:0,他引:1
Through field geological survey,the authors found that abundant thrust faults developed in the Longmen (龙门) Mountain thrust belt.These faults can be divided into thrust faults and strike-slip faults according to their formation mechanisms and characteristics.Furthermore,these faults can be graded into primary fault,secondary fault,third-level fault,and fourth-level fault according to their scale and role in the tectonic evolution of Longmen Mountain thrust belt.Each thrust fault is composed of several secondary faults,such as Qingchuan (青川)-Maowen (茂汶) fault zone is composed of Qiaozhuang (乔庄) fault,Qingxi (青溪) fault,Maowen fault,Ganyanggou (赶羊沟) fault,etc..The Longmen Mountain thrust belt experienced early Indosinian movement,Anxian (安县) movement,Yanshan (燕山)movement,and Himalayan movement,and the faults formed gradually from north to south. 相似文献
93.
94.
对柴达木盆地察尔汗古贝壳堤剖面的沉积物进行孢粉分析,结果显示这个地区植被与气候在晚更新世中晚期经历以下几个阶段的变化:36.2~31.2kaB.P.(未校正14C年代,下同)期间,以禾本科、藜科、蒿属、莎草科为主,发育草原-草甸植被,气候温和湿润,盘星藻出现较多,反映淡水湖泊,水深在10m左右;31.2~27.6kaB.P.期间,松属、云杉属、桦属等为主的木本植物的含量增加,周围山地森林发育,表明气候温暖,降水量增多。但由于蒸发量大,有效湿度下降,荒漠成分柽柳属等增加,盘星藻在30kaB.P.以后消失,反映湖泊盐度增大;27.6~23.3kaB.P.期间,植被中荒漠成分显著增加,周围山地森林萎缩,气候趋向相对寒冷干旱,湖面积缩小;23.3~18.0kaB.P.,孢粉浓度很低,蒺藜科、藜科等荒漠成分明显增加,植被稀疏,已趋向荒漠化草原,反映气候寒冷干旱。从整个剖面来看,主要的陆生植物孢粉类型为禾本科、柽柳属、蒺藜科、麻黄属、松属、云杉属、柏科、胡桃属和桦属等,藜科和蒿属含量很少,这与柴达木盆地东部地区的表土分析结果完全不同,也与其他草原以及荒漠草原的表土花粉结果相异。这说明晚更新世中晚期柴达木盆地东部地区的植被和现在无法进行比较,气候环境与现在显著不同。 相似文献
95.
最近在广西崇左三合大洞发现了步氏巨猿和似人似猿共生的新层位,与之伴生的有52种小哺乳动物,占三合大洞巨猿动物群总数的62%,其中苏门答腊兔(Nesolagus)是东南亚地区首次发现的化石。小哺乳动物群以南方早更新世常见的偏皮氏毛耳飞鼠(Belomys parapearsoni)、中间猪尾鼠(Typhlomys intermedius)、拟低冠竹鼠(Rhizomys brachyrhizomyoides)、硕豪猪(Hystrix magna)、先社鼠(Niviventer preconfucianus)、拟爱氏巨鼠(Leopoldamysedwardioidesi)等为代表,根据小哺乳动物群性质和与其他动物群对比以及磁性地层年代测定,表明其时代应是早更新世中期(约距今120160万年前)。该动物群由树鼩、扁颅蝠、小彩蝠、飞松鼠、笔尾树鼠、猪尾鼠等几乎是旧大陆热带-亚热带森林型动物组成,缺少北方类型,基本上属于热带森林动物群,这表明了当时的自然景观为温暖湿润的热带雨林环境。三合大洞小哺乳动物群是广西地区的首次发现,对华南早更新世巨猿动物群详细划分,探讨步氏巨猿演化和早期人类环境背景等目前科学界关注的问题具有重要的意义。 相似文献
96.
97.
Jianqiang Ren Zhongxin Chen Qingbo Zhou Huajun Tang 《International Journal of Applied Earth Observation and Geoinformation》2008,10(4):403
The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha−1 lower than the RMSE (233.35 kg ha−1) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation. 相似文献
98.
The ionospheric eclipse factor method (IEFM) and its application to determining the ionospheric delay for GPS 总被引:4,自引:1,他引:3
A new method for modeling the ionospheric delay using global positioning system (GPS) data is proposed, called the ionospheric
eclipse factor method (IEFM). It is based on establishing a concept referred to as the ionospheric eclipse factor (IEF) λ
of the ionospheric pierce point (IPP) and the IEF’s influence factor (IFF) . The IEF can be used to make a relatively precise distinction between ionospheric daytime and nighttime, whereas the IFF
is advantageous for describing the IEF’s variations with day, month, season and year, associated with seasonal variations
of total electron content (TEC) of the ionosphere. By combining λ and with the local time t of IPP, the IEFM has the ability to precisely distinguish between ionospheric daytime and nighttime, as well as efficiently
combine them during different seasons or months over a year at the IPP. The IEFM-based ionospheric delay estimates are validated
by combining an absolute positioning mode with several ionospheric delay correction models or algorithms, using GPS data at
an international Global Navigation Satellite System (GNSS) service (IGS) station (WTZR). Our results indicate that the IEFM
may further improve ionospheric delay modeling using GPS data. 相似文献
99.
On the basis of simplification of the Planck function in a low temperature range, this paper revises the practical split-window algorithm and presents a method for retrieving snow surface temperature (Ts) based on MODIS data in the middle-latitude region. The application of this method in Qinghai Lake region reveals that it is feasible for the retrieval of Ts. Results of correlation analysis indicate that there was strong negative relationship between Ts and altitude. By analyzing three typical areas in which land cover was relatively homogenous, this paper discusses the relationship between Ts and normalized difference snow index (NDSI) and then presents a new concept named "NDSI-Ts space". 相似文献
100.
珲春中部土壤常量元素地球化学特征 总被引:4,自引:1,他引:3
采用XRF-X荧光光谱法,研究了吉林省珲春中部常量元素在表层土壤中的含量以及在土壤剖面中的迁移分布等土壤地球化学特征.结果表明:表层土壤中MgO(0.85%)、CaO(0.95%)的含量平均值低于全国土壤平均值(分别为1.8%和3.2%),Fe2O3(3.41%)、K2O(2.61%)、Al2O3(13.33%)、SiO2(69.25%)含量平均值与全国平均值基本相当(分别为3.40%,2.50%,12.60%和65.00%),Na2O(1.83%)含量平均值高于全国平均值(1.60%).暗棕壤和白浆土两种类型土壤剖面常量元素组成差别不大,在垂向上呈现出不同的规律性.Sa、Saf和ba指标反映出暗棕壤土壤的风化淋溶度略强于白浆土,在剖面不同层次上,随土壤深度的增加,Sa和Saf呈现下降的趋势,而表层土壤的ba值比深层土壤高. 相似文献