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Study on Water Consumption Coefficient of People's Living and Its Regional Disparity in the North of china

Chinese Journal of Population,Resources and Environment 2005年第2期3卷 20-26页

作者： Wang Jing’ai 1-3, Mao Rui 3,4, Yang Mingchuan 3,4 & Zhou Junju 11 College of Geography & remote sensing 2.{2. laboratory of Regional Geography of Beijing Normal University 3 {2. laboratory of Environmental Change and Natural Disaster of Ministry of Education of china 4 College of Resources science & Technology, Beijing Normal University, Beijing 100875. china College of Geography and remote sensing Beijing 100048 China key laboratory of Environmental Change and Natural Disaster of Ministry of Education of {2. Beijing 100048 China College of Resources science and Technology Beijing Normal University Beijing 100875 China

By employing the information-reshufflingmethod that integrates census data, precipitation dataand inquiry data of water consumption, this paperdiscusses 5.(water consumption coefficient of people’sliving) in allusion to different precipitation zones anddifferent periods of time. The study shows that 5.(water consumption coefficient of urban people’sliving), 5. (water consumption coefficient of ruralpeople’s living) and increase with time passing, andthe increasing extent of 5.is 1.84, 2.62. 2.84 and 2.68times respectively from the west to the east, whichresults from the total quantity of water resources andthe speed of urbanization. 5. and 5. of eachprecipitation zone increased with 5. increasing morequickly than 5., and the difference between the twoalso increased when time passed. In the past fifty years(195.-2.00), the increasing extent of 5. was 1.71,2.96, 2.41 and 2.33 times respectively from the westto the east, in which 2.0-400mm precipitation zoneincreased more than others. Meanwhile the increasingextent of 5. is 1.5., 1.60, 1.5. and 1.64 timesrespectively from the west to the east with eachprecipitation zone increasing similarly. The change of5.is due to the speed of urbanization and the stabilityof water resources. This study provides basis forcalculating the water demand of people’s living andrevealing the impact of water demand of people’s livingon ecological drought in different zones.

关键词： The north of china precipitation zone water consumption coefficient of people’s living

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Quantitative estimation of the shrub canopy LAI from atmosphere-corrected HJ-1 CCD data in Mu Us Sandland

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science china Earth sciences 2010年第S1期53卷 26-33页

作者： CHEN Wei1,2.CAO ChunXiang1,HE QiSheng1,2.GUO HuaDong3,ZHANG Hao1,2.LI RenQiang4,ZHENG Sheng1,2.XU Min1,2.GAO MengXu1,2.ZHAO Jian1,2.LI Sha1,NI XiLiang1,2.JIA HuiCong1,JI Wei1,TIAN Rong1,2.LIU Cheng1,2.ZHAO YuXing5.& LI JingLu6 1 state key {2. of remote sensing {15.,Jointly Sponsored by the Institute of remote sensing Applications of Chinese Academy of {15.s and Beijing Normal University,Beijing 100101,china 2.Graduate University of Chinese Academy of {15.s,Beijing 100049,china 3 Center for Earth Observation and Digital Earth,Chinese Academy of {15.s,Beijing 100190,china 4 china key {2. of Ecological Network Observation and Modeling,Institute of Geographical {15.s and Natural Resources Research,Chinese Academy of {15.s,Beijing 100101,china 5.Ordos Forestry Sand Control {15. Institute,Dongsheng 017000,china 6 Inner Mongolia Biomass Thermoelectricity Limited Company,Wushen 017300,china 1. state key {2. of remote sensing {5. Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China 2. Graduate University of Chinese Academy of sciences Beijing 100049 China 3. Center for Earth Observation and Digital Earth Chinese Academy of Sciences Beijing 100190 China 4. china key {2. of Ecological Network Observation and Modeling Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China 5. Ordos Forestry Sand Control science Institute Dongsheng 017000 China 6. Inner Mongolia Biomass Thermoelectricity Limited Company Wushen 017300 China

The leaf area index(LAI) is an important ecological parameter that characterizes the interface between vegetation canopy and the *** addition,it is used by most process-oriented ecosystem *** paper investigates the potential of HJ-1 CCD data combined with linear spectral unmixing and an inverted geometric-optical model for the retrieval of the shrub LAI in Wushen Banner of Inner Mongolia in the Mu Us ***(Moderate Resolution Atmospheric Radiance and Transmittance Model) was used for atmospheric *** was extracted using the threshold of the normalized difference vegetation index,with which water bodies and farmland were separated,in combination with a vegetation map of the People's Republic of china(1:1000000).Using the geometric-optical model,we derive the per-pixel reflectance as a simple linear combination of two components,namely sunlit background and *** fraction of sunlit background is related to the shrub *** the support of HJ-1 CCD data,we employ linear spectral unmixing to obtain the fraction of sunlit background in an atmospherically corrected HJ *** addition,we use the measured shrub canopy structural parameters for shrub communities to invert the geometric-optical model and retrieve the pixel-based shrub *** total,18 sample plots collected in Wushen Banner of Inner Mongolia are used for *** results of the shrub LAI show good agreement with R2.of 0.817 and a root-mean-squared error of 0.173.

关键词： shrub leaf area index inversion HJ-1 data geometric-optical model MODTRAN Mu Us Sandland

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Winter heat budget in the Huanghai Sea and the effect from Huanghai Warm Current (Yellow Sea Warm Current)

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Acta Oceanologica Sinica 2011年第5期30卷 56-63页

作者： QIAO Lulu WANG Xiaohua WANG Yongzhi WU Dexing BAO Xianwen MU Lin key laboratory of Seafloor {2. and Exploration Technology Ocean University of China Qingdao 266100 China key laboratory of Physical Oceanography Ministry of Education Ocean University of China Qingdao 266100 China School of Physical Environmental and Mathematical Sciences University of New South Wales at Australian Defence Force Academy Canberra Australia state key {2. of Satellite Ocean Environment Dynamics Second Institute Oceanography State Oceanic Administratim Hangzhou 310012 China The First Institute of Oceanography State Oceanic Administration Qingdao 266061 China National Marine Data and Information Service State Oceanic Administration Tianjin 300171 China

Four sources of surface heat flux （SHF） and the satellite remote sensing sea surface temperature （SST） data are combined to investigate the heat budget closure of the Huanghai Sea （HS） in *** is found that heat loss occurs all over the HS during winter and the area averaged heat content change decreases with a rate of-106 W/m *** with the area averaged SHF of-15. W/m 2.from the four SHF data sets,it can be concluded that the SHF plays a dominant role in the HS heat budget during *** contrast,the heat advection transported by the Huanghai Warm Current （Yellow Sea Warm Current,HWC） accounted for up to 2.% of the HS heat content *** correlation,especially in February,between the storm events and the SST increase demonstrates that the HWC behaves strongly as a wind-driven compensation current.

关键词： heat budget Huanghai Sea and Bohai Sea surface heat flux Huanghai Warm Current (Yellow Sea Warm Current)

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Research on Wireless Sensor Node for Measurement of Vegetation Structure Parameters

Research on Wireless Sensor Node for Measurement of Vegetati...

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亚洲精细农业与计算机农业应用联合大会

作者： QU Yonghua 1 SUN Gang 2.1. state key {2. of remote {5. science Jointly Sponsored by Beijing Normal University and the Institute of remote {5. Applications of Chinese Academy of sciences Beijing china. 100875.2. College of Information and electric engine china Agriculture University Beijing china. 100083

Based on WSN（Wireless Sensor Network）technology, this article designed a wireless sensor network node for vegetation parameter’s measurement, which can be used at large space scale and in long temporal series measurement activity. Preliminary validation of the wireless sensor network node’s algorithm and performance are presented in this article. The results indicated that the algorithm can estimate the vegetation parameters accurately from the measurement of transmittance of radiance through the canopy. The relative error of estimated LAI（Leaf Area Index） is 5., and the LIDF（Leaf Inclination Distribution Function）agree with that of real vegetation structure basically. The sensitivity of designed wireless sensor network node is tested by measuring transmitted light intensity of projected direct LED light to leaves which have been punched with different density hole. The results indicted that the measured transmittance of leaves has high correlation with the holes density though it was also found that value of the former was slightly lower than that of the latter.

关键词： Wireless sensor node vegetation Structure parameters

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Spectral response of rice(Oryza sativa L.) leaves to Fe^(2.) stress

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science china(Life sciences) 2009年第8期52卷 747-753页

作者： CHI GuangYu1,2.CHEN Xin1,SHI Yi1 & LIU XinHui3 1 key laboratory of Terrestrial Ecological Process,Institute of Applied Ecology,Chinese Academy of {2.s,Shenyang 110016,china 2.Graduate School of Chinese Academy of {2.s,Beijing 100049,china 3 state key Joint laboratory of Environmental Simulation and Pollution Control,School of Environment,Beijing Normal University,Beijing 100875.china key laboratory of Terrestrial Ecological Process Institute of Applied Ecology Chinese Academy of Sciences Shenyang 110016 China Graduate School of Chinese Academy of sciences Beijing 100049 China state key Joint {2. of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China

In the management of lake eutrophication,the regulation effect of Fe is considered,in addition to the controlling nitrogen-and phosphorus *** on the "Fe hypothesis",this paper tentatively applied plant spectral response to the remote sensing early-warning mechanism of lake eutrophication.A {2. water culture experiment with rice(Oryza sativa L.) was conducted to study Fe uptake by plants and the chlorophyll concentration and visible-near infrared spectrum of vegetable leaves as well as their interrelations under Fe2. *** spectral indices,i.e.,A1(integral value of the changes of spectral reflectivity in the range 460―670 nm under Fe2. stress),A2.integral value of the changes of spectral reflectivity in the range of 760―1000 nm under Fe2. stress) and S(blue-shift range of red edge curve under Fe2. stress),were used to establish quantitative models about the relationships between the rice leaf spectrum and Fe2. *** the increase of Fe2. in a culture solution,the Fe content in rice plants increased,while the chlorophyll concentration in vegetative leaves *** spectral reflectivity of vegetable leaves increased in the visible light band but decreased in the near infrared band,and the blue-shift range of the red edge curve *** indices A1,A2.and S all had significant correlations with the Fe content in rice leaves,the correlation coefficient being respectively 0.95.(P 5.(P 2.> 0.96) and predict the Fe level in rice leaves.

关键词： rice(Oryza sativa L.) spectrum Fe2. lake eutrophication

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An improved line-of-sight method for visibility analysis in 3D complex landscapes

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science china(Information sciences) 2010年第11期53卷 2185-2194页

作者： LIU Liu1, ZHANG LiQiang1, MA JingTao2. ZHANG Liang3, ZHANG XingMing1, XIAO ZhiQiang1 & YANG Ling1 1state key {2. of remote {5. science, Jointly Sponsored by Beijing Normal University and the Institute of remote {5. Applications of Chinese Academy of sciences, Beijing 100875. china 2.TV America, Inc. 1145.Broadway Plaza Ste 605. Tacoma, WA 98407, USA 3School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, china 1. state key {2. of remote sensing {5. Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of Chinese Academy of Sciences Beijing 100875 China2. PTV America Inc. 1145 Broadway Plaza Ste 605 Tacoma WA 98407 USA3. School of Geomatics and Urban Information Beijing University of Civil Engineering and Architecture Beijing 100044 China

This paper presents an efficient method for implementing visibility analysis on complex landscapes based on an improved LOS (line of sight) algorithm. The method determines the viewshed by analyzing the geometric relationship between the target points and viewpoint. It differentiates the visibility of the target points by the elevation information. Eventually the visual results related to the given viewpoint are rendered on three-dimensional landscapes. The visibility of some target points is computed by comparing their elevations with the viewpoint's height, thus is able to enhance the efficiency of the visibility analysis. This method can not only be applied in the visibility analysis of forest scenes, but also used in the analysis of the urban environment. Experiments show that the proposed method results in high efficiency and precision.

关键词： line of sight visibility analysis complex landscapes visual permeability

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Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in china based on HJ-1 satellite data

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science china Earth sciences 2010年第S1期53卷 8-15页

作者： GAO MengXu1,4,LI XiaoWen1,2.CAO ChunXiang1,ZHANG Hao1,LI Qun3,ZHOU Hang3 HE QiSheng1,4,XU Min1,4,ZHAO Jian1,4,ZHENG Sheng1,4 & CHEN Wei1,4 1state key {2. of remote {5. science,Jointly Sponsored by the Institute of remote {5. Applications of Chinese Academy of sciences and Beijing Normal University,Beijing 100101,china 2.chool of Geography,Beijing Normal University,Beijing 100875.china 3Office for Disease Control and Emergency Response,Chinese Center for Disease Control and Prevention,Beijing 102.06,china 4Graduate University of Chinese Academy of sciences,Beijing 100049,china 1. state key {2. of remote sensing {5. Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Beijing 100101 China4. Graduate University of Chinese Academy of Sciences Beijing 100049 China2. School of Geography Beijing Normal University Beijing 100875 China3. Office for Disease Control and Emergency Response Chinese Center for Disease Control and Prevention Beijing 102206 China

Plague,caused by the gram-negative bacterium Yersinia pestis,is a serious and rapidly progressing illness in humans that can be fatal if not treated *** Qinghai-Tibet Plateau is the largest area of natural Himalayan marmot(Marmota himalayana) plague foci in china and covers more than 630000 *** County in Gansu Province is a part of this natural focus of plague and was chosen as a study *** study used an ecological niche modeling(ENM) approach to predict the potential distribution of the Himalayan *** and Disaster Monitor Satellite(HJ-1) data was used to investigate environment factors that affect plague host animal *** animal point data from active surveillance was combined with environmental variables from the HJ-1 satellite and other databases,and the models of the potential distribution of Himalayan marmot were produced with the Genetic Algorithm for Rule-Set Production(GARP).The probability of marmot presence was divided into 0-5.,5.-2.%,2.%-40%,40%-80%,and 80%-100% *** with 80%-100% probability exhibited the greatest potential for the presence of Himalayan *** to the predicted potential distribution of Himalayan marmot in the study area,active surveillance of plague hosts and plague control and prevention could be more efficient.

关键词： Himalayan marmot plague spatial prediction GARP HJ-1 satellite

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Characteristics of landscape information Tupu of the Yellow River swings and its subdeltas during 185.―2.00

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science china Earth sciences 2007年第10期50卷 1566-1577页

作者： YE QingHua1,3?, CHEN ShenLiang2. HUANG Chong4, XUE YunChuan5. TIAN GuoLiang3, CHEN ShuPeng3,4, SHI YaNan4, LIU QingSheng4 & LIU GaoHuan4 1 Institute of Tibetan Plateau Research (ITPR), Chinese Academy of sciences (CAS), Beijing 100085. china 2.{2. {5. laboratory of Estuarine and Coastal Research, East china Normal University, Shanghai 2.0062. china 3 {2. {5. laboratory of remote {15. science, Institute of remote {15. Applications (IRSA), CAS, Beijing 100101, china 4 Institute of Geographic sciences and Natural Resources Research, CAS, Beijing 100101, china 5.Qingdao Meteorological Bureau, Qingdao 2.6003, china 1. Institute of Tibetan Plateau Research (ITPR) Chinese Academy of Sciences (CAS) Beijing 100085 China 3. state key {2. of remote sensing {5. Institute of Remote Sensing Applications (IRSA) CAS Beijing 100101 China 2. state key {2. of Estuarine and Coastal Research East China Normal University Shanghai 200062 China 4. Institute of Geographic sciences and Natural Resources Research CAS Beijing 100101 China 5. Qingdao Meteorological Bureau Qingdao 266003 China

Based on the theories and methods of cartography on spatial pattern and temporal evolution in Geo-information Tupu (Carto-methodology in Geo-information, CMGI) and the quantitative measurements of pattern and process in landscape ecology, the methodology of landscape information Tupu in studying the swing process of the Yellow River (YR) over the Yellow River Delta (YRD) during 185.― 2.00 has been demonstrated. The main content includes: (1) methodology of landscape information Tupu; (2. evolution process Tupu of YR rump channels; (3) evolution process Tupu of the 7 pieces of subdeltas in YRD during 185.―2.00; (4) landscape information Tupu of the modern YRD and the current YRD; (5. landscape information Tupu of YR rump channels on the 7 pieces of subdeltas during 185.―2.00; and (6) corridor-matrix landscape information Tupu by YR swings. The methodology of landscape information Tupu here is still primary but we hope that it could provide a new tool for exploring an integrated research on spatiotemporal approaches for landscape "pattern and process".

关键词： Geo-information Tupu, landscape information Tupu, spatiotemporal analysis, the Yellow River (YR), the Yellow River Delta (YRD), corridor-matrix landscape

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Radiosonde observations of high-latitude planetary waves in the lower atmosphere

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science china Earth sciences 2010年第6期53卷 919-932页

作者： WANG Rui1,2.3, ZHANG ShaoDong1,2.3 & YI Fan1,2.3 1 School of Electronic Information, Wuhan University, Wuhan 430079, china 2.{5. {2. of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, china 3 state Observatory for Atmospheric remote sensing, Wuhan 430079, china 1. School of Electronic Information Wuhan University Wuhan 430079 China2. Key Laboratory of Geospace Environment and Geodesy Ministry of Education Wuhan 430079 China3. State Observatory for Atmospheric Remote Sensing Wuhan 430079 China

The characteristics of high-latitude planetary waves (PWs) in the troposphere and lower stratosphere (TLS) are studied by using the data from radiosonde observations during 1998 to 2.06 at three Alaskan stations in USA (Nome, 64.5.°N, 165.43°W; McGrath, 62.97°N, 15..62.W; Fairbanks, 64.82.N, 147.87°W). It is found that strong PWs exist in two regions. One is around tropopause, and the other is in the polar night jet (PNJ) in winter. The PW activities are rather intermittent, and their lifetimes are no longer than two months. Among three perturbation components in zonal and meridional winds and temperature, the temperature disturbance amplitude is the smallest, and the amplitude for the meridional wind component the largest. Around the tropopause, quasi 5., 10-, and 16-day PW activities can be observed simultaneously. Among these PW components, the quasi 5.day and 10-day PW are the weakest and strongest, respectively. Moreover, PWs around the tropopause are complex and no obvious season variability can be observed. However, in the PNJ, the higher region, only obvious quasi 10-day and 16-day PWs remain, with smaller amplitudes than those around the tropopause. And significant PWs in the PNJ occur only in winter. By calculating the refractive index for PWs, it is found that there is a persistent reflection layer around 11 km, which is thick in summer and becomes thin or even disappears in winter, revealing that PWs in the stratosphere can only occur in winter. PWs in the 2.03/2.04 winter at the three stations are analyzed in detail. It is found that for the focused observation duration, the quasi 10-day and quasi 16-day waves exist mainly in the troposphere and stratosphere, respectively. The quasi 10-day wave is a standing wave in the vertical direction, with vertical wavelength about 12.km in the temperature component and larger than 2. km in the meridional component. Moreover, the tropospheric quasi 10-day wave propagates westward with the zonal numbers between 2.an

关键词： planetary waves troposphere and lower stratosphere radiosonde

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基于Multigen/Vega的校园VR仿真系统的实现——以中国矿业大学为例

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系统仿真学报 2004年第9期16卷 1995-1998页

作者：宋金玲肖寒盛业华王锦地北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心遥感科学国家重点实验室环境遥感与数字城市北京市重点实验室北京100875 中国矿业大学环测学院徐州221008 南京师范大学地理科学学院南京210097

虚拟现实技术对于城市规划和城市的可持续发展有着非常重要的意义,它的长足进步,为真实景观的再现提供了有效手段。本论文在已有的二维地理信息系统数据的基础上进行校园数据的获取与组织,利用虚拟现实技术实现校园全景的三维重建,采用... 详细信息

虚拟现实技术对于城市规划和城市的可持续发展有着非常重要的意义,它的长足进步,为真实景观的再现提供了有效手段。本论文在已有的二维地理信息系统数据的基础上进行校园数据的获取与组织,利用虚拟现实技术实现校园全景的三维重建,采用层次型与面向对象相结合的三维数据结构,构造了校园全景的仿真模型,并实现了校园全景的驱动显示,为校园规划和可持续发展更可靠的保证。

关键词：虚拟现实 Multigen Vega 仿真

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