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Characteristics of Earthquake-Triggered Landslides and Post-Earthquake Debris Flows in Beichuan County

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Journal of Mountain Science 2010年第3期7卷 246-254页

作者： ZHUANG Jianqi CUI Peng HU Kaiheng CHEN Xiaoqing GE Yonggang key laboratory of Mountain Hazards and Land Surface Processes and Institute of Mountain Hazards and environment Chinese Academy of Sciences Chengdu 610041 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

Field investigations and aerial photography after the earthquake of May 12, 2008 show a large number of geo-hazards in the zone of extreme earthquake effects. In particular, landslides and debris flows, the geo-hazards that most threaten post-disaster reconstruction, are widely distributed. We describe the characteristics of these geo-hazards in Beichuan County using high-resolution remote sensing of landslide distribution, and the relationships between the area and volume of landslides and the peak-discharges of debris flows both pre- and post-earthquake. The results show： 1） The concentration （defined as the number of landslide sources per unit area： Lc） of earthquake- triggered landslides is inversely correlated with distance from the earthquake （DF） fault. The relationship is described by the following equation： Lc = 3.2264exp（-0.083.DF）（R2 = 0.9246）; 2） 87 % of the earthquake-triggered landslides were less than 15× 10^4 m2 in area, and these accounted only for 5o% of the total area; 84% of the landslide volumes were less than 60×10^4 m3. and these accounted only for 50% of the total volume. The probability densities of the area and volume distributions are correlated： landslide abundance increases with landslide area and volume up to maximum values of 5 ×10^4m2 and 3. ×10^4 m3. respectively, and then decreases exponentially. 3. The area （AL） and volume （VL） of earthquake-triggered landslides are correlated as described with the following equation： VL=6.513.AL1.0227 （R2 = 0.923.）; 4）Characteristics of the debris flows changed after the earthquake because of the large amount of landslide material deposited in the gullies. Consequently, debris flow peak-discharge increased following the earthquake as described with the following equation： Vpost = 0.8421Vprel-0972 （R2 = 0.9821）（Vpre is the peak discharge ofpre-earthquake flows and the Vpost is the peak discharge of post-earthquake flows）. We obtained the distribution of the landslides based on the above anal

关键词： 5.12 earthquake Landslide Debris flow Magnitude Beiehuan County

The Monitoring of Eco-environment Quality Trends and Analysis of Driving Factor of beijing:RS ＆ GIS Application Research

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The Monitoring of Eco-Environment Quality Trends and Analysi...

基于iPlanet技术的数字影像电子商务系统的研究

中国地理学会百年庆典

作者： Liu Hongqi~(a,b,c),Gong Huili~(a,b,c),Hu Zhuowei~(a,b,c) a College of Resources environment and Tourism,Capital Normal University b key Lab of 3. Information and Acquisition and Application,MOE,beijing,{3. c beijing Municipal Lab of Resources environment and GIS,beijing,china

＜正＞TM,SPOT and QuickBird images of 2000～2008 were taken as data *** remote sensing（RS） and Geographical Information System（GIS） technology, combined with field survey and other auxiliary data, ecological information,including vegetation,land,water resources,air quality,and so on,were ***, the qualitative and quantitative analysis of the spatial and temporal distribution of various eco-environmental factors was made to determine the main features that impact the eco-environment.

关键词： remote sensing Geographical Information System eco-environment quality assessment eco-environmental status index

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计算机工程与应用 2002年第5期38卷 204-206页

作者：窦静晏磊常炳国北京大学遥感与地理信息系统研究所北京100871 北京市空间信息集成与3.工程应用重点实验室北京100871

开发了一个电子商务网站系统,用于在线冲印数字影像。在充分论证了几种电子商务解决方案优缺点基础上,详细分析了该系统的需求、实现功能,采用了目前通用的三层系统,应用服务器层采用iPlanet中间件技术。论文重点讨论iPlanet中间件技术... 详细信息

开发了一个电子商务网站系统,用于在线冲印数字影像。在充分论证了几种电子商务解决方案优缺点基础上,详细分析了该系统的需求、实现功能,采用了目前通用的三层系统,应用服务器层采用iPlanet中间件技术。论文重点讨论iPlanet中间件技术的特征及其在电子商务系统应用中的优越性。

关键词：电子商务系统数字影像 iPlanet技术中间件

Empirical-Statistical Models Based on remote sensing for Estimating the Volume of Landslides Induced by the Wenchuan Earthquake

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Journal of Mountain Science 2011年第5期8卷 711-717页

作者： FAN Jianrong LI Xiuzhen GUO Fenfen GUO Xiang key laboratory of Mountain Hazards and Earth Surface Processes Chinese Academy of Sciences Chengdu 610041 China Institute of Mountain Hazards and Environment CAS Chengdu 610041 China

The Wenchuan Ms 8.0 earthquake on May 12, 2008 induced a huge number of landslides. The distribution and volume of the landslides are very important for assessing risks and understanding the landslide - debris flow - barrier lake - bursts flood disaster chain. The number and the area of landslides in a wide region can be easily obtained by remote sensing technique, while the volume is relatively difficult to obtain because it requires some detailed geometric information of slope failure surface and sub-surface. Different empirical models for estimating landslide volume were discussed based on the data of 107 landslides in the earthquake-stricken area. The volume data of these landslides were collected by field survey. Their areas were obtained by interpreting remote sensing images while their apparent friction coefficients and height were extracted from the images unifying DEM (digital elevation model). By analyzing the relationships between the volume and the area, apparent friction coefficients, and the height, two models were established, one for the adaptation of a magnitude scale landslide events in a wide range of region, another for the adaptation in a small scope. The correlation coefficients (R2) are 0.7977 and 0.8913. respectively. The results estimated by the two models agree well with the measurement data.

关键词： 5.12 Wenchuan earthquake Landslides remote sensing Volume Estimation model

Dynamic analysis of evapotranspiration based on remote sensing in Yellow River Delta

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Journal of Geographical Sciences 2003年第4期13卷 408-415页

作者： PAN Zhiqiang, LIU Gaohuan, ZHOU Chenghu(State key laboratory of Resource and environment Information System, Institute ofGeographic Sciences and Natural Resources Research, CAS, {3. 100101, china) State key laboratory of Resource and environment Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing China

Evapotranspiration (ET) is an important parameter for water resource management. Compared to the traditional ET computation and measurement methods, the ET computation method based on remote sensing has the advantages of quickness, precision, raster mapping and regional scale. SEBAL, an ET computation model using remote sensing method is based on the surface energy balance equation which is a function of net radiance flux, soil heat flux, sensible heat flux and latent heat flux. The former three fluxes can be computed through the parameters retrieved from remote sensing image, then the latent heat flux can be obtained to provide energy for ET. Finally we can obtain the daily ET. In this study SEBAL was applied to compute ET in the Yellow River Delta of china where water resource faces a rigorous situation. Three Landsat TM images and meteorology data of 1999 were used for ET computation, and spatial and temporal change patterns of ET in the Yellow River Delta were analysed.

关键词： evapotranspiration remote sensing Yellow River Delta

Spatial distribution analysis of landslides triggered by 2008.5.12 Wenchuan Earthquake,china

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Spatial distribution analysis of landslides triggered by 200...

中国科学院地质与地球物理研究所第十届(2010年度)学术年会

作者： Shengwen Qi~(a,b,*),Qiang Xu~b,Hengxing Lan~c,Bing Zhang~d,Jianyou Liu~(a,1) a key Lab.of Engineering Geomechanics,Institute of Geology and Geophysics,Chinese Academy of Sciences,beijing,china,P.O.Box 9825,Chaoyang area,beijing,100029,china b State key Lab.of Geo-hazard Prevention and Geo-environment Protection,Chengdu University of Technology,Chengdu,610059,china c State key laboratory of Resources and environmental System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,beijing,100101,china d Centre for Earth Observation and {13. Earth,Chinese Academy of Sciences,beijing,100190,china

The 2008.5.12 Wenchuan Earthquake(seismic magnitude M 7.9 according to the USGS)triggered a great number of landslides.A spatial database of landslides is built by interpreting the remote sensing(RS)data which covers 11 counties severely damaged by the earthquake with area of about 3.,686.12 *** geological settings of the study area are detailed mapped including geologic structure and *** digital elevation model(DEM)of the study area with resolution of 3. m×3. m is presented to address the topographic *** between the occurrence of landslides with geological settings i.e. active faults(the coseismic surface ruptures),geological unit,slope gradient,slope elevation as well as slope aspect are analyzed using spatial modeling in GIS with the aids of field *** can be concluded that the distance to the causative faults and slope gradient are much more important than other factors. Landslides are clustered distributed along the causative faults of F2 and F3.and landslides incidence are dramatically decreasing with the increasing of the distance to the causative *** landslides incidence has an obvious increase near the active faults *** concentration(LC,landslides/km)has an obvious exponent increase with slope ***,LC has no obvious relationship with geological unit and slope elevation;the difference of LC value in each geological unit(each slope elevation category)maybe have been the result affected by slope gradient for each geological unit(each slope elevation category)and distance of each geological unit(each slope elevation category)to causative fault *** map reflects the incidence of landslides in some degree,and LC increases dramatically with Intensity increasing, almost all landslides occurred in the region aboveⅥdegree. Statistics result also indicates that in the near field of causative faults,landslides tend to have the initial sliding direction similar to the movement

关键词： 2008.5.12 Wenchuan Earthquake Slope Landslide Spatial analysis

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构建数字城市的元数据服务体系

计算机科学 2003年第8期30卷 85-87,107页

作者：王浒李琦董宝青李浩川北京大学遥感与GIS研究所数字地球工作室北京100871 北京市信息资源管理中心北京100088 国家信息中心北京100053

Metadata is one of the six key technologies of digital Earth,which is also an important aspect in buildingand implementing the digital City. Based on the technologies and standards of Web Services ,the author came up witha metadata services architecture in the distributed heterogeneous network {3. of digital City. In this paper,the metadata services architecture is described and explained in detail,including the related standards,technologies,that,based on the Web service,to build the metadata service architecture will be practically meaningful for organizing,managing and sharing the information resources in digital City.

关键词：数字城市元数据服务体系城市可持续发展标准化

基于粗糙集理论的工矿废弃地复垦利用实施效果评价模型及应用

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中国矿业 2016年第S1期25卷 249-254页

作者：张立平叶回春周妍兴安黄元仿张红艳中国农业大学资源与环境学院北京100193 农业部华北耕地保育重点实验室北京100193 国土资源部农用地质量与监控重点实验室北京100035 中国科学院遥感与数字地球研究所数字地球重点实验室北京100094 海南省地球观测重点实验室海南三亚572029 国土资源部土地整治中心北京100035 中国农业大学理学院北京100193

工矿废弃地复垦利用实施效果评价对于量化各试点省份工作效果以及加强工矿废弃地复垦监管具有重要意义。本文构建了工矿废弃地复垦利用实施效果评价指标体系,并利用粗糙集理论知识约简和相对正域理论在消除冗余信息和处理不确定性信息... 详细信息

工矿废弃地复垦利用实施效果评价对于量化各试点省份工作效果以及加强工矿废弃地复垦监管具有重要意义。本文构建了工矿废弃地复垦利用实施效果评价指标体系,并利用粗糙集理论知识约简和相对正域理论在消除冗余信息和处理不确定性信息等方面的优势,从而进一步确定了评价指标体系中各准则层的权重。结果表明:以湖北、江苏等12个省份的工矿废弃地复垦利用试点效果评价为例,对上述赋权思路进行实例分析,对比传统特尔斐法和粗糙集理论赋权结果发现,特尔斐法确定的专项规划审批(C_1)、复垦项目实施进展(C_2)、建新审批(C_3.、制度建设(C_4)、技术规范制定与实行(C_5)和信息化管理(C_6)的6个准则层指标权重分别为0.180、0.3.0、0.060、0.210、0.090和0.100,而粗糙集理论确定的C_1-C_6这6个准则层指标权重分别为0.143.0.190、0.095、0.190、0.191和0.191,其中,C_1、C_2和C_4权重下降,C_3.C_5和C_5权重上升。因而,粗糙集理论在工矿废弃地复垦利用实施效果评价中的具体赋权思路基本是可行的,可为工矿废弃地相关领域的评价提供参考和借鉴。

关键词：工矿废弃地复垦利用实施效果评价粗糙集理论权重确定

Spatial distribution characteristics of urban thermal conditions: application of GIS and remote sensing

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Journal of Geographical Sciences 2001年第3期11卷 261-270页

作者： ZHOU Hong-mei1, ZHOU Cheng-hu2, GE Wei-qiang1, DING Jin-cai3.(1. Shanghai Meteorological Institute, Shanghai 20003., china 2. State key laboratory of Resources and {3. Information System, Institute of Geographic Sciences and Natural Resources Shanghai Meteorological Institute Shanghai China State key laboratory of Resources and environment Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing China Meteorological Center Shanghai China

The urban thermal distribution characteristics and its variation are dynamically monitored and synthetically analyzed by using GIS technology. The meteorological satellite data serve as main information source, assisted as auxiliary information sources by the landsat satellite TM data, land use thematic maps and meteorological observed data. A correlated pattern on the ground surface brightness temperatures and air temperatures has been studied and established with good performance of application.

关键词： remote sensing geographic information system urban thermal distribution application and study