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Spatiotemporal changes of typical glaciers and their responses to climate change in Xinjiang,Northwest China

Journal of Arid Land 2022年第5期14卷 502-520页

作者： HUANG Xiaoran BAO Anming GUO Hao MENG Fanhao ZHANG Pengfei ZHENG Guoxiong YU Tao QI Peng Vincent NZABARINDA DU Weibing State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China university of Chinese Academy of sciences Beijing 100049China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumqi 830011China China-Pakistan Joint Research Center on earth sciences Chinese Academy of Sciences and Higher Education CommissionIslamabad 45320Pakistan School of Geography and Tourism Qufu Normal UniversityRizhao 276800China college of Geographical science Inner Mongolia Normal UniversityHohhot 010022China Xuchang university Xuchang 461000China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China School of Surveying and Land Information Engineering Henan Polytechnic UniversityJiaozuo 454000China

Glaciers are highly sensitive to climate change and are undergoing significant changes in *** this study,we analyzed the spatiotemporal changes of typical glaciers and their responses to climate change in the period of 1990-2015 in 4 different mountainous sub-regions in Xinjiang Uygur Autonomous Region of Northwest China:the Bogda Peak and Karlik Mountain sub-regions in the Tianshan Mountains;the Yinsugaiti Glacier sub-region in the Karakorum Mountains;and the Youyi Peak sub-region in the Altay *** standardized snow cover index(NDSI)and correlation analysis were used to reveal the glacier area changes in the 4 sub-regions from 1990 to *** areas in the Bogda Peak,Karlik Mountain,Yinsugaiti Glacier,and Youyi Peak sub-regions in the period of 1990-2015 decreased by 57.7,369.1,369.1,and 170.4 km^(2),*** of glacier area center of gravity showed that quadrant changes of glacier areas in the 4 sub-regions moved towards the *** area on the south aspect of the Karlik Mountain sub-region was larger than that on the north aspect,while glacier areas on the north aspect of the other 3 sub-regions were larger than those on the south *** precipitation in the Karlik Mountain sub-region inhibited the retreat of glaciers to a certain ***,glacier area changes in the Bogda Peak and Youyi Peak sub-regions were not sensitive to the increased *** a seasonal time scale,glacier area changes in the Bogda Peak,Karlik Mountain,Yinsugaiti Glacier,and Youyi Peak sub-regions were mainly caused by accumulated temperature in the wet season;on an annual time scale,the correlation coefficient between glacier area and annual average temperature was-0.72 and passed the significance test at P<0.05 level in the Karlik Mountain *** findings of this study can provide a scientific basis for water resources management in the arid and semi-arid regions of Northwest China in the context of global warmin

关键词： glacier area change normalized snow cover index(NDSI) climate change remote sensing Altay Mountains Tianshan Mountains Karakorum Mountains

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Global observation of urban expansion and land-cover dynamics usingsatellite big-data

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science Bulletin 2021年第4期66卷 297-300页

作者： Wenhui Kuang Guoming Du Dengsheng Lu Yinyin Dou Xiaoyong Lid Shu Zhang Wenfeng Chi Jinwei Dong Guangsheng Chen Zherui Yin Tao Pan Rafiq Hamd Yali Hou Chunyang Chen Han Li Chen Miao Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China School of Public Administration and Law Northeast Agricultural UniversityHarbin 150030China School of Geographical sciences Fujian Normal UniversityFuzhou 350007China university of Chinese Academy of sciences Beijing J00049China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China School of Resources and Environmental Economics Inner Mongolia University of Finance and EconomicsHohhot 010017China School of Environmental&Resource sciences Zhejiang Agriculture and Forestry UniversityHangzhou 311300China Xinjiang institute of Ecology and Geography Chinese Academy of SciencesUrumqi 830011China Royal Meteorological institute of Belgium Brussels 1180Belgium National remote sensing Center of China Beijing 100036China

Humans deeply influence the urbanizing of earth’s surface system in an exacerbating manner across space and time[1].Around the globe,urban land-use/cover changes reflect the intensities of human activities and land s... 详细信息

关键词： dominated expansion dynamics

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Development of China’s first space-borne aerosol-cloud high-spectral-resolution lidar:retrieval algorithm and airborne demonstration

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PhotoniX 2022年第1期3卷 222-241页

作者： Ju Ke Yingshan Sun Changzhe Dong Xingying Zhang Zijun Wang Liqing Lyu Wei Zhu Albert Ansmann Lin Su Lingbing Bu Da Xiao Shuaibo Wang Sijie Chen Jiqiao Liu Weibiao Chen Dong Liu State Key Laboratory of Modern Optical Instrumentation College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China ZJU‑hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311200China Shanghai institute of Satellite Engineering Shanghai 201109China National Satellite Meteorological Center China Meteorological AdministrationBeijing 100081China Shanghai Academy of Spaceflight Technology Shanghai 201109China Leibniz institute for Tropospheric Research(TROPOS) 04318 LeipzigGermany Aerospace Information Research institute Chinese Academy of SciencesBeijing 100094China Collaborative Innovation Center On Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China Shanghai institute of Optics and Fine Mechanics Chinese Academy of ScienceShanghai 201800China. Intelligent Optics&Photonics Research Center Jiaxing Research Institute Zhejiang UniversityJiaxing 314000China. Jiaxing Key Laboratory of Photonic sensing&Intelligent Imaging Jiaxing 314000China.

Aerosols and clouds greatly affect the earth’s radiation budget and global *** detection and ranging(lidar)has been recognized as a promising active remotesensing technique for the vertical observations of aerosols and *** launchedits first space-borne aerosol-cloud high-spectral-resolution lidar(ACHSRL)on April 16,2022,which is capable for high accuracy profiling of aerosols and clouds around *** study presents a retrieval algorithm for aerosol and cloud optical propertiesfrom ACHSRL which were compared with the end-to-end Monte-Carlo simulationsand validated with the data from an airborne flight with the ACHSRL prototype(A2P)*** imaging denoising,threshold discrimination,and iterative reconstructionmethods,this algorithm was developed for calibration,feature detection,and extinction coefficient(EC)*** simulation results show that 95.4%of thebackscatter coefficient(BSC)have an error less than 12%while 95.4%of EC have anerror less than 24%.Cirrus and marine and urban aerosols were identified based on theairborne measurements over different surface ***,comparisons were madewith ***-Aerosol Lidar with Orthogonal Polarization(CALIOP)profiles,ModerateresolutionImaging Spectroradiometer(MODIS),and the ground-based sun *** correlations(R>0.79)were found between BSC(EC)profiles of A2P andCALIOP over forest and town cover,while the correlation coefficients are 0.57 for BSCand 0.58 for EC over ocean cover;the aerosol optical depth retrievals have correlationcoefficient of 0.71 with MODIS data and show spatial variations consistent with thosefrom the sun *** algorithm developed for ACHSRL in this study can bedirectly employed for future space-borne high-spectral-resolution lidar(HSRL)and itsdata products will also supplement CALIOP data coverage for global observations ofaerosol and cloud properties.

关键词： Aerosol Cloud Retrieval Space-borne lidar Airborne campaign

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中国植被图(1:1000000)现实性更新（英文）

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science Bulletin 2020年第13期65卷 1125-1136页

作者：苏艳军郭庆华胡天宇关宏灿金时超安沙舟陈学林郭柯郝占庆胡远满黄永梅江明喜李家湘李振基李先琨李小伟梁存柱刘仁林刘庆倪宏伟彭少麟沈泽昊唐志尧田兴军王希华王仁卿谢宗强谢应忠徐小牛杨小波杨永川喻理飞岳明张峰马克平 State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences university of Chinese Academy of sciences college of Pratacultural and Environmental sciences Xinjiang Agricultural University college of Life science Northwest Normal University Key Laboratory of Forest Ecology and Management Institute of Applied Ecology Chinese Academy of Sciences college of Resources science and Technology Beijing Normal University Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden Chinese Academy of Sciences college of Forestry Central South University of Forestry & Technology college of Life sciences Xiamen University Guangxi institute of Botany Chinese Academy of Sciences Agricultural college Ningxia University School of Ecology and Environment Inner Mongolia University institute of Navel Orange School of Life and Environmental Science Gannan Normal University Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization Chengdu Institute of Biology Chinese Academy of Sciences Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences institute of Natural Resources and Ecology Heilongjiang Academy of Sciences State Key Laboratory of Biocontrol and Guangdong Key Laboratory of Plant Resources School of Life Sciences Sun Yat-sen University institute of Ecology College of Urban and Environmental Science and Key Laboratory of Earth Surface Processes Peking University School of Life sciences Nanjing University Zhejiang Tiantong Forest Ecosystem National Observation and Research Station School of Ecological and Environmental Sciences East China Normal University School of Life sciences Shandong University Department of Forest science Anhui Agricultural University institute of Tropical Agriculture and Forestry College of Material and Chemical Engineering Hainan University Key Laboratory of Three Gorges Reservoir Region’s Eco-Environment

植被图是生物多样性保护、生态学研究、植被管理与恢复和国家决策的重要辅助信息源.我国上一代植被图,即中国植被图(1:1000000),是由逾250位生态学家组成的团队自20世纪80年代花了20多年完成的.但是,随着过去30多年间的快速发展,我国的... 详细信息

植被图是生物多样性保护、生态学研究、植被管理与恢复和国家决策的重要辅助信息源.我国上一代植被图,即中国植被图(1:1000000),是由逾250位生态学家组成的团队自20世纪80年代花了20多年完成的.但是,随着过去30多年间的快速发展,我国的植被分布与植被类型发生了剧烈的变化,对上一代植被图进行现实性更新已成为迫在眉睫的需求.本文使用了一种"众源采集—变化检测—遥感分类—专家审核"的策略尝试对中国植被图(1:1000000)进行现实性更新.本研究共收集了203024条地面调查数据,并有50余位植被生态学家参与到专家审核的工作中.更新后的植被图包含12个植被型组、55个植被(亚)型和866个(亚)群系类别,精度在植被型组、植被(亚)型和(亚)群系水平上分别为64.8%, 61%和40%.与上一代植被图相比,过去30多年间的人类活动和气候变化导致了我国约330万km2植被类型发生了变化.更新后的植被图将会有助于理解和管理我国的陆地生态系统.

关键词： Vegetation map Crowdsource remote sensing Update

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Spatiotemporal variations in surface albedo during the ablation season and linkages with the annual mass balance on Muz Taw Glacier,Altai Mountains

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International Journal of Digital earth 2022年第1期15卷 2126-2147页

作者： Xiaoying Yue Zhongqin Li Feiteng Wang Jun Zhao Huilin Li Changbin Bai State Key Laboratory of Cryospheric sciences Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouPeople’s Republic of China National Cryosphere Desert Data Center Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouPeople’s Republic of China college of Geography and Environmental science Northwest Normal UniversityLanzhouPeople’s Republic of China

Melt-albedo feedback on glaciers is recognized as important processes for understanding glacier behavior and its sensitivity to climate *** study selected the Muz Taw Glacier in the Altai Mountains to investigate the spatiotemporal variations in albedo and their linkages with mass balance,which will improve our knowledge of the recent acceleration of regional glacier *** on the Landsat-derived albedo,the spatial distribution of ablation-period albedo was characterized by a general increase with elevation,and significant east–west differences at the same *** gap-filling MODIS values captured a nonsignificant negative trend of mean ablation-period albedo since 2000,with a total decrease of approximately 4.2%.From May to September,glacier-wide albedo exhibited pronounced V-shaped seasonal variability.A significant decrease in annual minimum albedo was found from 2000 to 2021,with the rate of approximately−0.30%yr−1 at the 99%confidence *** bivariate relationship demonstrated that the change of ablation-period albedo explained 82%of the annual mass-balance *** applied the albedo method to estimate annual mass balance over the period 2000–*** with observed values,the average mass balance was−0.82±0.32 m ***−1 between 2000 and 2020,with accelerated mass loss.

关键词： Albedo spatiotemporal variation glacier mass balance remote sensing Altai Mountains

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Monitoring Forest Growth Disturbance Using Time Series MODIS EVI Data

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Chinese Forestry science and Technology 2012年第3期11卷 62-62页

作者： Liu Lijuan Pang Yong Zhang Xiaoyang Svein Solberg Fan Wenyi Li Zengyuan Li Mingze institute of Forest Resources Information Techniques Chinese Academy of Forestry institute of remote sensing and earth sciences Hangzhou Normal University college of Forestry Northeast Forestry University NOAA/DESDIS/STAR 5200 AUth RDCamp SpringsMD 20746 United States Norwegian Forest and Landscape institute

Forest growth is mainly currently monitored using in-situ measurements in northeast of *** effectively monitor forest growth disturbance at large scale,we attempted to use remote sensing technique,particularly,time series MODIS data from 2004 to *** annual time series of 8-day enhanced vegetation index(EVI) dataset was generated and smoothed using a Savitzky-Golay *** EVI trajectory during growth season was simulated using a logistic model. From the simulated trajectory,the EVI area of growth season and annual EVI entropy were *** two factors were combined to map the disturbance regions of forest growth. Finally,the disturbance regions were verified using a set of random *** result indicates that the disturbance points have distinctively higher entropy and lower *** of these points also show abrupt EVI decline during the midseason of the peak phases or double *** approach is demonstrated to be feasible for disturbance monitoring of forest growth.

关键词： time series MODIS EVI growth season area entropy disturbance monitoring

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Satellite-based Estimation of Gross Primary Production in an Alpine Swamp Meadow on the Tibetan Plateau:A Multi-model Comparison

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Journal of Resources and Ecology 2017年第1期8卷 57-66页

作者： NIU Ben ZHANG Xianzhou HE Yongtao SHI Peili FU Gang DU Mingyuan ZHANG Yangjian ZONG Ning ZHANG Jing WU Jianshuang Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China university of Chinese Academy of sciences Beijing 100049 China institute for Agro-Environmental sciences National Agriculture and Food Research Organization 3-1-3 Kannondai Tsukuba Ibaraki 305-8604 Japan college of Global Change and earth System sciences Beijing Normal University Beijing 100875 China

Alpine swamp meadows on the Tibetan Plateau,with the highest soil organic carbon content across the globe,are extremely vulnerable to climate *** accurately and continually quantify the gross primary production（GPP） is critical for understanding the dynamics of carbon cycles from site-scale to global *** covariance technique（EC） provides the best approach to measure the site-specific carbon flux,while satellite-based models can estimate GPP from local,small scale sites to regional and global ***,the suitability of most satellite-based models for alpine swamp meadow is *** we tested the performance of four widely-used models,the MOD17 algorithm（MOD）,the vegetation photosynthesis model（VPM）,the photosynthetic capacity model（PCM）,and the alpine vegetation model（AVM）,in providing GPP estimations for a typical alpine swamp meadow as compared to the GPP estimations provided by EC-derived *** results indicated that all these models provided good descriptions of the intra-annual GPP patterns（R〉20.89,P〈0.0001）,but hardly agreed with the inter-annual GPP *** strongly underestimated the GPP of alpine swamp meadow,only accounting for 54.0% of GPP_***,the other three satellite-based GPP models could serve as alternative tools for tower-based GPP *** estimated from AVM captured 94.5% of daily GPP_EC with the lowest average RMSE of 1.47 g C m^（-2）.PCM slightly overestimated GPP by 12.0% while MODR slightly underestimated by 8.1% GPP compared to the daily GPP_*** results suggested that GPP estimations for this alpine swamp meadow using AVM were superior to GPP estimations using the other relatively complex models.

关键词： satellite remote sensing eddy covariance technique(EC) gross primary production(GPP) model performance alpine swamp meadow Tibetan Plateau

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构造地貌学：构造-气候-地表过程相互作用的交叉研究

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科学通报 2018年第30期63卷 3070-3088页

作者：刘静张金玉葛玉魁王伟曾令森李根林旭中国地震局地质研究所地震动力学国家重点实验室北京100029 中国地质科学院地质研究所北京100037 Department of earth Planetary and Space SciencesUniversity of CaliforniaLos Angeles CA 90095USA 山东师范大学地理与环境学院济南250358

构造地貌学是发展迅速的新兴交叉学科.与传统地貌学不同,构造地貌学是一种定量地貌学,强调对地貌过程的定量描述,其核心概念是构造-气候-地表过程相互作用,聚焦于以量化的方式具体阐述构造活跃造山带地区气候、地形、水文、物理和化学... 详细信息

构造地貌学是发展迅速的新兴交叉学科.与传统地貌学不同,构造地貌学是一种定量地貌学,强调对地貌过程的定量描述,其核心概念是构造-气候-地表过程相互作用,聚焦于以量化的方式具体阐述构造活跃造山带地区气候、地形、水文、物理和化学剥蚀、沉积以及岩石变形之间的相互作用.本文首先阐释构造地貌学的主要科学问题与核心概念,即构造、气候和地表过程之间的相互作用.随后简要介绍构造地貌学的主要研究方法和手段,特别是对学科发展起到重要推动作用的测年手段(如宇宙成因核素和低温热年代学)和空间探测技术手段(如LiDAR).基于近年来构造地貌学的研究实例,梳理了构造-气候-地表过程相互作用的研究中获得的一些重要认知,这些研究实例涵盖的时空尺度巨大:时间跨度从数小时到百万年,空间跨度从单个断裂到整个造山带.这些跨度广泛的研究对理解造山带的地形演化具有重大的启示意义.最后,简要总结了构造地貌学的前沿问题.

关键词：构造地貌学构造-气候-地表过程地貌演化地质测年技术空间探测技术

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未来土地利用情景下城市地表径流变化模拟预测研究

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水利水电技术（中英文） 2023年第11期54卷 66-76页

作者：杨可欣毛树怀王锣洋李瑶王品潘耀忠胡潭高杭州师范大学遥感与地球科学研究院浙江杭州311121 浙江省城市湿地与区域变化研究重点实验室浙江杭州311121 浙江省应急管理科学研究院浙江杭州311121 浙江省安全工程与技术研究重点实验室浙江杭州311121 Faculty of Geo-Information science and earth Observation(ITC) University of TwenteEnschede 7500AEThe Netherlands 北京师范大学环境演变与自然灾害教育部重点实验室北京100875

【目的】在快速城市化背景下,土地利用格局发生改变,建筑用地等不透水面比例增大,导致地表径流深度增加。因此,理解土地利用变化与地表径流的相互关系在城市防灾减灾工作中具有重要作用。【方法】以杭州市为例,利用CLUMondo模型,得到203... 详细信息

【目的】在快速城市化背景下,土地利用格局发生改变,建筑用地等不透水面比例增大,导致地表径流深度增加。因此,理解土地利用变化与地表径流的相互关系在城市防灾减灾工作中具有重要作用。【方法】以杭州市为例,利用CLUMondo模型,得到2030年土地利用情景模拟结果,并在此基础上,利用SCS模型模拟预测了未来地表径流深度信息,探讨了土地利用变化对地表径流的影响。【结果】结果显示:(1)到2030年,耕地面积减少到2070.72 km^(2),共减少283.55 km^(2);建筑用地增加到1227.74 km^(2),共增加了528.19 km^(2),林地和草地均出现了不同程度的减少。(2)在同等降水条件情景下,随着土地利用格局的变化,研究区平均地表径流深度呈逐年增加趋势,但增幅存在差异。在研究区西部的林地地区地表径流增加不明显,在研究区东北部的中心城区,地表径流的范围与深度显著增加。其中杭州主城区径流深度增加最为明显。【结论】2005年到2030年杭州的土地利用结构变化中,耕地与建筑用地变化最为明显,耕地面积不断减少,建筑用地面积不断增加;地表径流深度整体呈增加趋势,但在不同时段和区域都存在一定的差异性,其中杭州主城区径流深度增加最为明显。2005—2030年间杭州降水径流变化的原因与杭州城市化过程中的土地利用转化特别是耕地向建筑用地的转化密切相关。研究成果可为优化城市土地利用政策、缓解洪涝灾害提供理论依据。

关键词：土地利用地表径流 CLUMondo模型 SCS模型杭州降水城市灾害风险管理长江流域

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