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1.
FEASIBLE STUDY ON THE INTEGRATION SYSTEM FOR THE SPACE MONITORING OF MAJOR EARTHQUAKES AND VOLCANOES IN TERRESTRIAL LAND 总被引:1,自引:1,他引:0
BOLi-qun 《中国地理科学(英文版)》2002,12(4):350-353
With the rapid development of space technology, earth observation technology and sky observatory technolo-gy, they have played a more and more important part in monitoring and predicting of earthquakes and volcanoes in the terres-trial land. In recent years, the related agencies have done the experiments and researches on monitoring and predicting ofearthquakes and volcanoes in the forewarning period by means of many approaches, such as satellite thermal infrared re-mote sensing (TIRS), Global Positioning System (GPS), differential interferometric synthesis aperture radar (D-INSAR),astronomical time-latitude residual anomaly, and Geographic Information Systems (GIS), etc. A quite large number of re-search foundation has been built in the fundamental theories and application methods. The experiments and researcheshave shown that these technology is efficient methods for high frequency crust movement. If the existed separate scientificforces and results are possibly assembled together to form a more complete integration monitoring system with the combina-tion of space, sky observation, ground, deep geology and macro anomaly, it will come into a new stage of monitoring andpredicting of earthquakes and volcanic eruptions. 相似文献
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概略地叙述了西宁地区的泥石流形成条件和形成机理,并将西宁地区泥石流划分为稀性泥石流类及泥石质泥石流种类。在此基础上提出防治泥石流灾害的意见。 相似文献
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6月18日以来,景宁县普降大暴雨,洪水;中毁道路、房屋、桥梁、电力通讯设备等,造成重大经济损失。截止23日统计,这次洪灾共引发滑坡、崩塌、泥石流等各类地质灾害106起。在这次抗洪中,县国土资源局早准备、早部署,有效地组织抗洪,全局出动抗洪23次59人。县乡村各级干部战斗在抗洪一线,特别是负责地质灾害隐患点的乡镇村干部和国土资源所工作人员高度重视,紧急撤离63个隐患点中的1503人, 相似文献
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在郑州开往南阳的汽车上,老师给我们介绍了花岗岩,还搬出了标本让我们认识。老师告诉我们,花岗岩是由长石、石英和云母三种主要矿物组成,是地下滚烫的岩浆上升过程中,在地壳中冷凝形成的。想到一块小小的石头,却蕴藏了这么多的地球故事与秘密,我的心中便对我们的下一站——宝天曼地质公园充满了向往。终于到了宝天曼地质公园,我看到了雄奇险峻的化石尖,那是一座由灰白色的花岗岩组成的巍丽山峰,海拔1830米。虽然山势险峻,我们的队员们却没有一个畏惧的,大家迫不及待地开始攀登起来。尽管同学们一个个都大汗淋漓,汗湿衣衫,可一想到一会儿到了… 相似文献
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WANGXie-kang HUANGEr CUIPeng 《中国地理科学(英文版)》2003,13(3):262-266
Debris flow is one of the most destructive phenomena of natural hazards. Recently, major natural haz-ard, claiming human lives and assets, is due to debris flow in the world. Several practical methods for forecasting de-bris flow have been proposed, however, the accuracy of these methods is not high enough for practical use because of the stochastic and non-linear characteristics of debris flow. Artificial neural network has proven to be feasible and use-fill in developing models for nonlinear systems. On the other hand, predicting the future behavior based on a time se-ries of collected historical data is also an important tool in many scientific applications. In this study we present a three-layer feed-forward neural network model to forecast surge of debris flow according to the time series data collect-ed in the Jiangjia Ravine, situated in north part of Yunnan Province of China. The simulation and prediction of debris flow using the proposed approach shows this model is feasible, however, further studies are needed. 相似文献
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WEIHai-quan JINBo-lu LIUYong-shun 《东北亚地学研究》2004,7(1):28-35
A number of different lahars have been recognized from a systematic survey of a mapping project. The high setting temporamre feature of the deposits indicates a relationship between the lahar and the Millennium eruption event of Tianchi Volcano. The lahars caused a dramatic disaster. Recognize of the huge avalanche scars and deposits around Tianchi Volcano imply another highly destructive hazard. Three types of different texture of the avalanche deposits have been recognized. There was often magma mixing processes during the Millennium eruption of Tianchi Volcano, indicating a mixing and co-eruption regime of the eruption. 相似文献