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Prediction and analysis of the potential risk of sudden oak death in China

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Journal of Forestry Research 2019年第6期30卷 2357-2366页

作者： Bo Xie chunxiang cao Wei Chen Bing Yu State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101People’s Republic of China University of Chinese Academy of Sciences Beijing 100094People’s Republic of China School of Civil Engineering and Architecture Southwest Petroleum UniversityChengdu 610500People’s Republic of China

Sudden oak death(SOD)is one of the most rapid and destructive forest pathogens,which has caused the death of many host plants in Europe and *** are currently no cases in China where there are more host plants and a more suitable climate for this pathogen to ***,it is vital to discern the potential suitable habitat,quantify the risk levels,and monitor the potential high-risk *** this study,we modelled the potential invasion range and risk level of this pathogen at present and in future scenarios in China,using the least correlated components of all the environmental factors based on the Genetic Algorithm for Ruleset Production niche model and GIS *** results indicate that most areas in China are free from a potential SOD risk,and the majority of potential occurrence areas are concentrated in Southern China(Yunnan,Sichuan,Guizhou,Chongqing,Hunan,Fujian).The area of high and extremely high risk in 2050(RCP26,RCP45,RCP60,and RCP85)is larger than that at *** most susceptible area is Yunnan province with 80%of the area prone to SOD at extremely high risk in present and future *** results will be important for monitoring potential high-risk areas in the currently uninfected parts of China.

关键词： Phytophthora ramorum GARP Ecological niche models Suitable habitat Risk level

Maize drought disaster risk assessment of China based on EPIC model

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International Journal of Digital Earth 2012年第6期5卷 488-515页

作者： Huicong Jia Jingai Wang chunxiang cao Donghua Pan Peijun Shi State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal UniversityBeijing 100101P.R.China Key Laboratory of Regional Geography College of Geography and Remote Sensing ScienceBeijing Normal UniversityBeijing 100875P.R.China National Disaster Reduction Center of China Ministry of Civil Affairs of the People?s Republic of ChinaBeijing 100124P.R.China State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875P.R.China

Digital Agriculture is one of the important applications of Digital *** the global climate changes and food security becomes an increasingly important issue,agriculture drought comes to the focus of *** is a typical monsoon climate country as well as an agricultural country with the world’s largest *** East Asian monsoon has had a tremendous impact upon agricultural ***,a maize drought disaster risk assessment,in line with the requirements of sustainable development of agriculture,is important for ensuring drought disaster reduction and food ***,soil,land use,and agro-meteorological observation information of the research area were collected,and based on the concept framework of‘hazard-inducing factors assessment(hazard)-vulnerability assessment of hazard-affected body(vulner-ability curve)-risk assessment(risk),’importing crop model EPIC(Erosion-Productivity Impact Calculator),using crop model simulation and digital mapping techniques,quantitative assessment of spatio-temporal distribution of maize drought in China was *** results showed that:in terms of 2,5,10,and 20 year return periods,the overall maize drought risk decreased gradually from northwest to southeast in the maize planting *** the 20 year return period,high risk value regions(drought loss rate]0.5)concentrate in the irrigated maize region of Northwest china,ecotone between agriculture and animal husbandry in Northern China,Hetao Irrigation Area,and north-central area of North China Plain,accounting for 6.41%of the total maize *** results can provide a scientific basis for the government’s decision-making in risk management and drought disaster prevention in China.

关键词： physical vulnerability risk assessment agriculture drought maize production EPIC model China Digital Earth GIS

Down-scaling LUCC based on the histo-variogram

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Science China(Technological Sciences) 2009年第5期52卷 1348-1353页

作者： ZHANG Hao cao chunxiang LI GuoPing YANG Hua LI XiaoWen QIN Jun State Key Laboratory of Remote Sensing Science Institute of Remote Sensing ApplicationChinese Academy of SciencesBeijing 100101China School of Earth and Space Sciences Peking UniversityBeijing 100871China State Key Laboratory of Remote Sensing Science Beijing Normal UniversityBeijing 100875China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100083China

In remote sensing applications,accurate extraction of land type area after classification is very *** for images of land use/cover change(LUCC) obtained from the special spatial resolution re-mote sensing data,it will be of great significance to obtain the land type area information with higher resolution by making use of spatial distribution characteristcs information of the land type itself first and further scaling-down in a given scale threshold on the basis of the existing spatial resolution *** explicit expression of the relationship between the measurement scale,global fractal dimension and the land type area corresponding to different measurement scales is obtained on the research basis of the authors' histo-variogram using the standardized area index(SAI).A good attempt has been made to obtain the land type area information with higher resolution by merely using the spatial distribution characteristcs information of the land type in the image itself and further scaling-down in a given scale threshold on the basis of the existing spatial resolution data.

关键词： histo-variogram scaling-down scale effect LUCC

Exploring the Association Between Infectious Diarrheal Diseases and Sea Surface Temperatures—Coastal Areas of China,2009–2018

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China CDC weekly 2022年第7期4卷 126-129页

作者： Min Xu chunxiang cao Heyi Guo Yiyu Chen Zhongwei Jia State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina School of Public Health Peking UniversityBeijingChina

Summary What is already known about this topic?Coastal areas of China have a higher reported incidence of other infectious diarrheal diseases(OIDD;excluding cholera,dysentery,typhoid,and paratyphoid)than inland areas of *** is added by this report?The incidence of OIDD in high latitude coastal provincial-level administrative divisions(PLADs)near Bohai Sea was positively correlated with sea surface temperatures(SSTs),while in coastal PLADs near the South China Sea was negatively *** are the implications for public health practice?The marine environmental risk factors acquired by remote sensing provide a new way for diseases surveillance and early *** can be employed as predictor of OIDD in some coastal areas in China.

关键词： China. coastal inland

Anisotropic exchange coupling interaction between hard-hard magnetic grains in sintered SrFe_(12)O_(19)ferrites

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Journal of Advanced Ceramics 2023年第4期12卷 815-821页

作者： Shuang Zhang chunxiang cao Shubing Su Ailin Xia Huiyan Zhang Hailing Li Zhiyuan Liu Chuangui Jin School of Materials Science and Engineering Anhui University of TechnologyMaanshan 243002China Analysis and Testing Central Facility Anhui University of TechnologyMaanshan 243002China School of Electronic and Information Engineering Ningbo University of TechnologyNingbo 315016China

Exchange coupling interaction in sintered magnetic materials is generally *** this study,the anisotropic exchange coupling interaction was found in sintered oblate cylindrical SrFe_(12)O_(19)(SrM)specimens obtained by the SrM nanopowders synthesized via a hydrothermal *** to Henkel plots,the exchange coupling interaction between hard-hard magnetic grains was found in both as-pressed and sintered ***,the exchange coupling interaction can only be found in the in-plane direction but not in the out-of-plane direction for thel sintered *** building a model of a grain configuration,this anisotropy of the exchange coupling interaction was ascribed to the vertically arranged plate-like SrM grains with micrometers in width but nanometers in thickness,which was confirmed by morphologies of cross sections in fractured specimens.

关键词： SrFe_(12)O_(19)(SrM)ferrite hydrothermal method anisotropic exchange coupling interaction Henkel plot

A new method to retrieve aerosol optical thickness from satellite images on a parallel system

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Particuology 2009年第5期7卷 392-398页

作者： Jianping Guo Huadong Xiao Yong Xue Huizheng Che Xiaoye Zhang chunxiang cao Jie Guang Hao Zhang CenterforAtmosphere Watch and Services Chinese Academy of Meteorological Sciences China Meteorological Administration Beijing 100081 China National Meteorological Information Center China Meteorological Administration Beijing 100081 China State Key Laboratory of Remote Sensing Sciences Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications Chinese Academy of Sciences PO Box 9718 Beijing 100101 China Department of Computing London Metropolitan University 166-220 Holloway Road London N7 8DB UK

A wide variety of algorithms have been developed to monitor aerosol burden from satellite images. Still, few solutions currently allow for real-time and efficient retrieval of aerosol optical thickness （AOT）, mainly due to the extremely large volume of computation necessary for the numeric solution of atmospheric radiative transfer equations. Taking into account the efforts to exploit the SYNergy of Terra and Aqua Modis （SYNTAM, an AOT retrieval algorithm）, we present in this paper a novel method to retrieve AOT from Moderate Resolution Imaging Spectroradiometer （MODIS） satellite images, in which the strategy of block partition and collective communication was taken, thereby maximizing load balance and reducing the overhead time during inter-processor communication. Experiments were carried out to retrieve AOT at 0.44, 0.55, and 0.67μm of MODIS/Terra and MODIS/Aqua data, using the parallel SYNTAM algorithm in the IBM System Cluster 1600 deployed at China Meteorological Administration （CMA）. Results showed that parallel implementation can greatly reduce computation time, and thus ensure high parallel efficiency. AOT derived by parallel algorithm was validated against measurements from ground-based sun-photometers; in all cases, the relative error range was within 20%, which demonstrated that the parallel algorithm was suitable for applications such as air quality monitoring and climate modeling.

关键词： AOT Parallel computation Block partitioning Message Passing Interface (MPI)

Risk analysis for the highly pathogenic avian influenza in China's Mainland using meta-modeling

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Chinese Science Bulletin 2010年第36期55卷 4168-4178页

作者： cao chunxiang XU Min CHANG ChaoYi XUE Yong ZHONG ShaoBo FANG LiQun cao WuChun ZHANG Hao GAO MengXu HE QiSheng ZHAO Jian CHEN Wei ZHENG Sheng LI XiaoWen State Key Laboratory of Remote Sensing Science the Institute of Remote Sensing Applications of the Chinese Academy of Sciences Beijing 100101 China Beijing Institute of Microbiology and Epidemiology State Key Laboratory of Pathogen and Biosecurity Beijing 100071 China 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 22 d. The potential risk of occurrence of HPAI in China's Mainland for the period from January 23 to February 17, 2004 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：高致病性禽流感疫情中国内地风险分析 MODIS数据归一化植被指数最大熵模型建模中继

The novel H1N1 Influenza A global airline transmission and early warning without travel containments

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Chinese Science Bulletin 2010年第26期55卷 3030-3036页

作者： CHANG ChaoYi cao chunxiang WANG Qiao CHEN Yu cao ZhiDong ZHANG Hao DONG Lei ZHAO Jian XU Min GAO MengXu ZHONG ShaoBo HE QiSheng WANG JinFeng LI XiaoWen State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China The Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Satellite Environment Center Ministry of Environmental Protection Beijing 100012 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China Center for Earth Observation and Digital Earth Chinese Academy of Sciences Beijing 100101 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China

A novel influenza A (H1N1) has been spreading worldwide. Early studies implied that international air travels might be key cause of a severe potential pandemic without appropriate containments. In this study, early outbreaks in Mexico and some cities of United States were used to estimate the preliminary epidemic parameters by applying adjusted SEIR epidemiological model, indicating transmissibility infectivity of the virus. According to the findings, a new spatial allocation model totally based on the real-time airline data was established to assess the potential spreading of H1N1 from Mexico to the world. Our estimates find the basic reproductive number R0 of H1N1 is around 3.4, and the effective reproductive number fall sharply by effective containment strategies. The finding also implies Spain, Canada, France, Panama, Peru are the most possible country to be involved in severe endemic H1N1 spreading.

关键词：国际航空安全壳流感旅行传播预警流行病模型航空公司

District prediction of cholera risk in China based on environmental factors

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Chinese Science Bulletin 2013年第26期58卷 2798-2804页

作者： XU Min cao chunxiang WANG DuoChun KAN Biao JIA HuiCong XU YunFei LI XiaoWen State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal University State Key Laboratory for Infectious Disease Prevention and Control Institute for Infectious Disease Control and Prevention Chinese Center for Disease Control and Prevention

The epidemics of cholera are impacted by many climatic and environmental factors such as precipitation, temperature, elevation and so on. The paper analyzed the suitable degree of V. cholerae in China using MaxEnt based on some geographic and climatic factors, and predicted the cholera risk in each district of China according to the suitable degree. The result shows that the areas in coastal southeast, central China and western Sichuan Basin are relatively suitable for V. cholerae and the suitable degree is higher in the Xinjiang Basin than in surrounding areas. The variables of precipitation, temperature and DEM are three main environmental risky factors that affecting the distribution of cholera in China. The variables of relative humidity, the distance to the sea and air pressure also have impacts on cholera, but sunshine duration and drainage density have little impact. The AUC value of MaxEnt based model is above 0.9 which indicates a high accuracy.

关键词：中国地区环境因素风险预测霍乱基础气候因素四川盆地中部地区

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