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Risk analysis for the highly pathogenic avian influenza in china's mainland using meta-modeling

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science Bulletin 2010年第36期 4169-4179页

作者： CAO ChunXiang1, XU Min1,3, CHANG ChaoYi1,3, XUE Yong1, ZHONG ShaoBo1, FANG LiQun2. CAO WuChun2. ZHANG Hao1, GAO MengXu1,3, HE QiSheng1,3, ZHAO Jian1,3, CHEN Wei1,3, ZHENG Sheng1,3 & LI XiaoWen1 1 state key {2. of remote sensing science, the institute of remote sensing Applications of the chinese academy of sciences, {{12., china 2.beijing institute of Microbiology and Epidemiology, state key {2. of Pathogen and Biosecurity, beijing 100071, china 3 Graduate University of the chinese academy of sciences, beijing 100049, china

A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies and national highways was statistically relevant to the occurrence of HPAI. Migratory birds, mainly waterfowl, were important infection sources in HPAI transmission. In addition, the HPAI outbreaks had high spatiotemporal autocorrelation. This epidemic spatial range fluctuated 45 km owing to different distribution patterns of cities and water bodies. Furthermore, two outbreaks were likely to occur with a period of 2. d. The potential risk of occurrence of HPAI in china's mainland for the period from January 2. to February 17, 2.04 was simulated based on these findings, providing a useful meta-model framework for the application of environmental factors in the prediction of HPAI risk.

关键词： highly pathogenic avian influenza meta-modeling remote sensing geographical information system Bayesian maximum entropy logistic regression spatiotemporal autocorrelation

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应用遥感技术评估土壤侵蚀影响因素

水土保持研究 2007年第5期14卷 330-333页

作者：王莉雯牛铮卫亚星中国科学院遥感应用研究所遥感科学国家重点实验室北京100101 辽宁师范大学城市与环境学院辽宁大连116029

在全世界范围内土壤侵蚀对农业生产、地基和水质量都具有负面影响。因此,进行土壤侵蚀评价是非常重要的,但其往往受到数据可用性和数据质量的限制。利用遥感技术有助于土壤侵蚀的评价,它可以为土壤侵蚀评价提供所需的空间数据。在过去... 详细信息

在全世界范围内土壤侵蚀对农业生产、地基和水质量都具有负面影响。因此,进行土壤侵蚀评价是非常重要的,但其往往受到数据可用性和数据质量的限制。利用遥感技术有助于土壤侵蚀的评价,它可以为土壤侵蚀评价提供所需的空间数据。在过去的30年许多研究在这方面做了不同深度层次的工作。本论文主要回顾了利用遥感技术评估土壤侵蚀影响因素的方法。土壤侵蚀影响因素的评估包括：地貌、土壤特性、植被覆盖和管理措施。

关键词：土壤侵蚀遥感影响因素

Ice Surface-Elevation Change and Velocity of Qingbingtan Glacier No.72.in the Tomor Region,Tianshan Mountains,Central Asia

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Journal of Mountain science 2011年第6期8卷 855-864页

作者： WANG Puyu LI Zhongqin LI Huilin WANG Wenbin WANG Feiteng College of Geography and Environment science Northwest Normal University Lanzhou 730070 China state key {2. of Cryospheric sciences Cold and Arid Region Environment and Engineering Research Institute/Tianshan Glaciological Station Chinese Academy of Sciences Lanzhou 730000 China

Glaciers in the Tomor region of Tianshan Mountains preserve vital water resources. However, these glaciers suffer from strong mass losses in the recent years because of global warming. From 2.08 to 2.09, a large-scale scientific expedition has been carried out in this region. As an individual reference glacier, the tongue area of Qingbingtan glacier No. 72.was measured by the high precise Real Time Kinematic-Global Position System （RTK-GPS）. In this paper, changes of the tongue area of Qingbingtan glacier No.72.has been studied based on topographic map, remote sensing image and the survey during 2.08-2.09 field campaign. Results indicated that the ice surface-elevation of the tongue area changed - 0.2.~0.14 m a-1 from 1964 to 2.08. The estimated loss in ice volume was 0.0144-0.009 km3, which represented a ~2. % decrease from the 1964 volume and was equivalent to average annual mass balance of -0.2.4-0.{2.m water equivalent for the tongue area during 1964-2.o8. Terminus retreated by 1852.m, approximately 41 m a-1, with the area reduction of 1.533 km2.（0.034 km2.a-0 from 1964 to 2.09. Furthermore, the annual velocity reached to -70 m a-1. Comparing with the other monitored glaciers in the eastern Tianshan Mountains, Qingbingtan glacier No.72.experienced more intensive in shrinkage, which resulted from the combined effects of climate change and glacier dynamic, providing evidence of the response to climatic warming.

关键词： Ice surface-elevation change Ice velocity Qingbingtan glacier No70 Tomor region TianshanMountains

remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases

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science china(Life {2.) 2006年第6期49卷 573-582页

作者： GONG Peng 1,XU Bing 2.& LIANG Song 1、3 1. state key {2. of remote sensing science,jointly sponsored by the institute of remote sensing Applications,Chi-nese academy of {{12. and beijing normal University,Box 9718,beijing 100101,china 2. Department of Geography,University of Utah,Salt Lake City,UT 841{12.USA 3. School of Public Health,University of California,Berkeley,CA 9472.,USA state key {2. of remote sensing science Jointly Sponsored by the Institute of Remote Sensing Applications Chinese Academy of Sciences and Beijing Normal University Box 9718 Beijing 100101 China Department of Geography University of Utah Salt Lake City UT 84112 USA state key {2. of remote sensing science Jointly Sponsored by the Institute of Remote Sensing Applications Chinese Academy of Sciences and Beijing Normal University Box 9718 Beijing 100101 China School of Public Health University of CaliforniaBerkeleyCA 94720USA

Similar to species immigration or exotic species invasion,infectious disease transmis-sion is strengthened due to the globalization of human activities. Using schistosomiasis as an exam-ple,we propose a conceptual model simulating the spatio-temporal dynamics of infectious diseases. We base the model on the knowledge of the interrelationship among the source,media,and the hosts of the disease. With the endemics data of schistosomiasis in Xichang,china,we demonstrate that the conceptual model is feasible; we introduce how remote {2. and geographic information systems techniques can be used in support of spatio-temporal modeling; we compare the different effects caused to the entire population when selecting different groups of people for schistosomiasis control. Our work illustrates the importance of such a modeling tool in supporting spatial decisions. Our mod-eling method can be directly applied to such infectious diseases as the plague,lyme disease,and hemorrhagic fever with renal syndrome. The application of remote {2. and geographic informa-tion systems can shed light on the modeling of other infectious disease and invasive species studies.

关键词： spatio-temporal modeling, spatial connectivity, prevention and control of infectious diseases, biological invasion.

Seasonal and Spatial Variability of Microparticles in Snowpits on the Tibetan Plateau, china

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Journal of Mountain science 2010年第1期7卷 15-25页

作者： ZHANG Yulana KANG Shichang ZHANG Qianggong CONG Zhiyuan ZHANG Yongjun GAO Tanguang laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100085 China state key {2. of Cryospheric sciences ChineseAcademy of Sciences Lanzhou 730000 China Graduate University of chinese academy of {2. Beijing 100049 China

The work presents microparticle concentrations in snowpits from the East Rongbuk Glacier on Mt. Qomolangma (Everest) (ER) (2..02.N, 86.96°E, 6536 m a.s.l.), the Zhadang Glacier on Mt. Nyainqentanglha (NQ) (30.47°N, 90.65°E, 5800m a.s.l.), and the Guoqu Glacier on Mt. Geladaindong (GL) (33.95°N, 91.2.°E, 582.m a.s.l.) over the Tibetan Plateau (TP). Variations of microparticle and major ions (e.g. Mg2., Ca2.) concentrations in snowpits show that the values of the microparticles and ions in the non-monsoon seasons are much higher than those in the monsoon seasons. Annual flux of microparticle deposition at ER is lower than those at NQ and GL, which could be attributed to the long distance away from the possible dust source regions as well as the elevation for ER higher than the others. Compared with other remote areas, microparticle concentrations in the southern TP are much lower than those in the northern TP, but still much higher than those in Greenland and Antarctica. The seasonal and spatial microparticle variations are clearly related to the variations of atmospheric circulation according to the air mass 5-day backward trajectory analyses of HYSPLIT Model. Resultingly, the high microparticle values in snow are mainly attributed to the westerlies and the strong dust storm outbreaks on the TP, while the monsoon circulation brings great amount of precipitation from the Indian Ocean, thus reducing in the aerosol concentrations.

关键词： Microparticle seasonal change spatialvariation snowpits Tibetan Plateau

Chapter 12.Numerical Inversion Methods in Geoscience and Quantitative {2. sensing

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Chapter 12 Numerical Inversion Methods in Geoscience and Qua...

Digital earth, Virtual Reality and urban seismic disaster simulation

中国科学院地质与地球物理研究所第十届(2.10年度)学术年会

作者： Yanfei Wang institute of Geology and Geophysics,chinese {2. of sciences,beijing 10002.,china. Xiaowen Li Research Center for remote sensing and GIS,beijing normal University,beijing,100875, china.

To estimate structural parameters and spectral component signatures of Earth surface cover type,quantitative remote sensing seems to be an appropriate way to deal with these *** the real physical system that couples the atmosphere with the land surface is very complicated and should be continuous,sometimes it requires comprehensive parameters to describe such a system,so any practical physical model can only be approximated by a model which includes only a limited number of the most important parameters that capture the major variation of the real system. The pivot problem for quantitative remote sensing is the *** problems are typically *** ill-posed nature is characterized by(C1) the solution may not exist;(C2. the dimension of the solution space may be infinite;(C3) the solution is not continuous with the variation of the observed *** issues exist for all quantitative remote sensing inverse problems. For example,when sampling is poor,i.e.,there are very few observations,or directions are poorly located,the inversion process would be underdetermined, which leads to the large condition number of the normalized systems and the significant noise ***(C2. and(C3) would be the chief difficulties for quantitative remote sensing inversion. This chapter will address the theory and methods from the viewpoint that the quantitative remote sensing inverse problems can be represented by kernel-based operator equations.

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Journal of Geographical sciences 2000年第2期10卷 119-128页

作者： HE Jian-bang, HU Zhi-yong, YE Ze-tian, LI Hui-guo, WANG Jin-feng (state key {2. of Resources & Environment Information Systems, chinese academy of sciences, beijing 100101, china)

US Vice President Al Gore's vision of Digital Earth applies us with prospects for brand-new ways of solving problems the earth is facing such as seismic disaster. ms paper first briefly introduces the concept of Digital Earth. Then in the context of Digital Earth. the Origin, concept and application of Virtual Reality technology are reviewed. After that we present in detail our preliminary case study--CVR-USD (Computer Virtual Reality for Urban Seismic Disaster Simulation) System which aims to simulate and manage seismic disaster through integrating RS, GIS and VR technologies. For this system, we've built USD subsystem, developed SMVR software to implement CVR. and also developed a Spatial Dare Analysis Package to handle spatial data related to earthquake disaster.

关键词： Digital Earth, Virtual Reality seismic disaster simulation remote sensing, GIS

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 {2. of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu 610041 China Graduate University of chinese academy of {2. Beijing 100049 China

Field investigations and aerial photography after the earthquake of May 12. 2.08 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 {2. 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 = 3.2.64exp（-0.0831DF）（R2.= 0.92.6）; 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 30 ×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=6.5138AL1.02.7 （R2.= 0.92.1）; 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 = 0.842.Vprel-0972.（R2.= 0.982.）（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

Ceometric calibration of high-resolution remote sensing sensors

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Ceometric calibration of high-resolution remote sensing sens...