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Science china Earth {1. 2004年第3期47卷 247-254页

作者： zhu jingquan1. {2. yongtie2. jiang maosheng1.& chen daizhao1.1. Institute of geology and geophysics, chinese Academy of sciences,{12., china 2. Research Institute of Petroleum Exploration and Development, CNPC, beijing 100083, china chinese Acad Sci Inst Geol & Geophys Beijing 100029 Peoples R China CNPC Res Inst Petr Explorat & Dev Beijing 100083 Peoples R China

The d 1.C values of Lower Cretaceous Aptian-Albian platform-type carbonates in the Cuoqin Basin, North Tibet vary between 2.48 and 5.46. The mean value is 3.93. The values are not only provided with positive excursion, but also 1.17 higher than those of con-temporaneous pelagic carbonates which possess pretty high d 1.C values. The origin is ap-proached. During the oceanic anoxic events, a great number of organisms were rapidly buried, causing the increase of the d 1.C value of oceanic total dissolved carbon (TDC) and generally promoting the values of marine carbonates. After that, owing to the organisms undergoing dif-ferent isotopic fractionation in the paleo-ocean with stratified structure, d 1.C values of shallow sea carbonate were obviously higher than those of pelagic carbonates.

关键词： shallow water carbonate, stable carbon isotope, paleooceanography, Aptian-Albian stage, Cuoqin Basin.

Carbon isotope composition and its implications of Lower Cretaceous Aptian-Albian shallow water carbonates in the Cuoqin Basin,North Tibet

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Carbon isotope composition and its implications of Lower Cre...

澜沧江——湄公河流域干旱趋势及其对生态系统碳固定的影响

中国科学院地质与地球物理研究所2.04学术年会

作者： zhu jingquan~1,{2. yongtie~2.jiang maosheng~1 & chen daizhao~1.1.Institute of geology and geophysics,chinese Academy of {12.,beijing 1.002.,china 2.Research Institute of Petroleum Exploration and Development,CNPC,beijing 100083,china

TheδC values of Lower Cretaceous Aptian-Albian platform-type carbonates in the Cuoqin Basin,North Tibet vary between 2.48‰and 5.46‰.The mean value is 3.93‰.The values are not only provided with positive excursion,but also 1.17‰higher than those of contemporaneous pelagic carbonates which possess pretty highδC *** origin is approached. During the oceanic anoxic events,a great number of organisms were rapidly buried,causing the increase of theδC value of oceanic total dissolved carbon(TDC) and generally promoting the values of marine *** that,owing to the organisms undergoing different isotopic fractionation in the paleo-ocean with stratified structure,δC values of shallow sea carbonate were obviously higher than those of pelagic carbonates.

关键词： shallow water carbonate stable carbon isotope paleooceanography Aptian-Albian stage Cuoqin Basin

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地理学报 2024年第3期79卷 747-764页

作者：陈世亮李霞钱钊晖王绍强王苗苗刘侦海李卉夏烨赵紫祺李亭谕朱彤彤陈璇蒋赟浩谷鹏中国地质大学(武汉)地理与信息工程学院区域生态过程与环境演变湖北省重点实验室武汉430074 自然资源部国土碳汇智能监测与空间调控工程技术创新中心武汉430074 生态环境部对外合作与交流中心北京100035 中国地质大学(武汉)生物地质与环境地质国家重点实验室武汉430074 中国科学院地理科学与资源研究所中国科学院生态系统网络观测与模拟重点实验室北京100101 福建省农业科学院数字农业研究所福州350000

全球变暖导致干旱事件频发,强度不断增大,对陆地生态系统碳收支产生了重大影响。本文评估了2.00—2.1.年澜沧江—湄公河(澜湄)流域的干旱趋势,并通过标准化异常指数(SAI)、标准化降水蒸散指数(SPEI)、潜在蒸散(PET)、饱和水汽压差(VPD)... 详细信息

全球变暖导致干旱事件频发,强度不断增大,对陆地生态系统碳收支产生了重大影响。本文评估了2.00—2.1.年澜沧江—湄公河(澜湄)流域的干旱趋势,并通过标准化异常指数(SAI)、标准化降水蒸散指数(SPEI)、潜在蒸散(PET)、饱和水汽压差(VPD)和土壤水分(Soil_w)评价了干旱对该流域净生态系统生产力(NEP)的影响。结果表明:①2.00—2.1.年澜湄流域向暖干化发展,主要受降水减少的影响,近1.4的区域遭受了中度以上干旱,其中2.09—2.1.年间干旱事件频发,干旱热点地区位于澜沧江上游和湄公河中下游地区;②尽管澜湄流域碳汇整体上随着气候变暖而增加,但干旱年份植被光合作用降低,生态系统呼吸增加,导致2.05年、2.1.年和2.1.年湄公河流域生态系统碳源汇发生转变,其中2.1.年干旱使得GPP减少5.68%,生态系统呼吸增加3.1.%,NEP呈现重度异常;③干旱对流域NEP普遍具有滞后效应,整体滞后时间为1.4个月,面积占比为57.82.;④不同水文气候要素对NEP的影响表现出显著的空间差异,其中澜湄流域NEP与VPD整体呈负相关,云南省、缅甸西部、柬埔寨和越南南部的NEP与SPEI呈正相关,而青藏高原NEP主要受到土壤干旱的影响。干旱对澜湄流域生态系统碳固定的影响存在显著的空间异质性,量化干旱对碳固定的影响可以为气候变暖背景下澜湄流域不同地区的生态管理提供参考。

关键词：干旱固碳速率净生态系统生产力澜湄流域标准化降水蒸散指数地理加权回归

Modern pollen distributions in Qinghai-Tibetan Plateau and the development of transfer functions for reconstructing Holocene environmental changes

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Modern pollen distributions in Qinghai-Tibetan Plateau and t...

Mineral Resource Science in china:Review and perspective

中国科学院地质与地球物理研究所第1.届（2.1.年度）学术年会

作者： Houyuan Lu~(a,*),Naiqin Wu~a,Kam-biu liu~b,liping {2.~c,Xiangdong Yang~d,Tandong Yao~c,Luo Wang~a, Quan li~a,Xingqi liu~d,Caiming Shen~e,Xiaoqiang li~f,Guobang Tong~g,Hui jiang~h aKey Laboratory of Cenozoic geology and Environment,Institute of geology and geophysics,chinese Academy of sciences,{12. 1.002.,china b Department of Oceanography and Coastal sciences,Louisiana State University,Baton Rouge,LA 70803,USA cInstitute of Tibetan Plateau Research,chinese Academy of sciences,{12. 100085,china d State Key Laboratory of Lake Science and Environment,Nanjing Institute of limnology and Geography,chinese Academy of sciences,Nanjing 2.0008,china e Atmospheric sciences Research Center,State University of New York,Albany,NY 12.03,USA f Institute of Vertebrate Paleontology and Paleoanthropology,chinese Academy of sciences,{12. 100044,china g Institute of Hydrology and geology,chinese Academy of Geological sciences,Zhengding 050803,china h State Key Laboratory of Estuarine and Coastal Research,East china Normal University,Shanghai 2.0062.china

This study investigates the distribution of modern pollen assemblages in the Qjnghai-Tibetan Plateau, china,based on surface soil samples collected at 1.02.sites along an altitudinal gradient of 1. -5500 m asl,where mean annual precipitation(MAP) ranges from 1. to 1.40 mm and mean annual temperature(MAT) from -1.to 2.1}5℃.A total of 1.3 pollen taxa were found with relative abundances greater than 1.in at least two *** correspondence analysis(CCA) was used to determine the main environmental variables influencing pollen *** results reveal that MAP is the most significant dominant ***,MAT,altitude(ALT),July temperature(MT7),and relative humidity(HHH) are also significant variables that clearly follow the gradients in the CCA ordination, suggesting that pollen assemblages probably not only reflect a single c{1.matic parameter,but also a variety of other c{1.matic inter-related parameters. Transfer functions,based on locally weighted weighted averaging(LWWA),were developed for MAP (R-boot = 0.89,RMSEP = 1.9 mm),MAT(R-boot = *** = 2.3℃),ALT(R-boot = 0.73, RMSEP = 597 m),HHH(R-boot = 0.82.RMSEP = 4.5%),and July mean precipitation(MP7)(R- boot = 0.87,RMSEP = 2. ram).Overall,our results confirm that pollen can provide re{1.able estimates of the primary c{1.matic *** app{1.cation of the LWWA model to the fossil records of chen Co Lake allowed quantitative inferences to be made about Holocene c{1.matic changes in the southern Tibetan Plateau,suggesting that LWWA is a robust ca{1.bration method for quantitative palaeo-environ-mental reconstruction based on pollen data in the regions.

关键词： Qinghai-Tibetan plateau Vegetation Pollen Transfer functions Holocene Climatic changes

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Geography and Sustainability 2021年第2期2卷 107-114页

作者： Mingguo Zhai Ruizhong Hu Yan Wang Shaoyong jiang Ru{1.g Wang Jianwei {2. Huayong {1. Zhiming Yang Qingtian Lü Tao Qi Xuefa Shi Yuansheng {2. Jianming {2.u Ziying {2. Xiyan zhu Institute of geology and {1. Chinese Academy of SciencesBeijing 100029China Institute of Geochemistry Chinese Academy of SciencesGuiyang 550081China Guangzhou Institute of Geochemistry Chinese Academy of SciencesGuangzhou 510640China china University of Geo{1. Wuhan 430074China Nanjing University Nanjing 210023China Institute of geology Chinese Academy of Geological SciencesBeijing 100037China chinese Academy of Geological {1. Beijing 100037China Institute of Process Engineering Chinese Academy of SciencesBeijing 100190China First Institute of Oceanography Ministry of Natural Resources of the People’s Republic of ChinaQingdao 266061China Polar Research Institute of china Shanghai 200136China beijing Research Institute of Uranium {1. Beijing 100029China

Mineral resources are essential to prosperity and security of modern *** mineral resources can guar-antee sustainable development of economy in countries,especially those developing countries,has long been a focus of attention of international *** paper provides a comprehensive summary for major ad-vance of the research on mineral resources in past decades,and proposes some key issues regarding ore-forming mechanism,exploration and utilization of major and critical mineral *** the basis of these aspects,we also identify four priority science issues to be addressed in the future,including(1.mechanism of both metal circulation and extremely high concentration,(2.theories and technologies of prospecting deep-earth resources,(3)investigation of mineral resources in seafloor and polar regions,and(4)efficient,clean and recycling utiliza-tion of mineral *** can be expected that new advances in these four issues would tremendously promote the innovation of mineral resource science,and provide scientific and technologic support to meet the demand of mineral resources for human activities and the harmonious development of both mineral-resource exploration and ecological restoration.

关键词： Mineral resource science Review Priority science issues

Digital and global lithologic mapping of the Moon at a 1.2.500,000 scale

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Science Bulletin 2022年第20期67卷 2050-2054,M0003页

作者： Jian chen Zongcheng {2.ng Jianzhong {2.u Shengbo chen Xiaozhong Ding Jianping chen Weiming cheng Bo {2. jiang Zhang {2.ngzhi Sun Changqing {2.u Haijun Cao Xiangyu Bi {2. {2.u Sheng Wan Xiaobin Qi Zixu Zhao Dijun Guo Jinzhu Ji Jingwen {2.u Juntao Wang Ke Zhang Jingyi Zhang Pengju Sun Kai zhu Tianqi Lu Congzhe Wu Kunying Han Kejuan Xu Ming Jin Ying Wang cheng Zhang Jiayin Deng Yang Song Ziyuan Ouyang Shandong Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment Institute of Space SciencesSchool of Space Science and PhysicsShandong UniversityWeihai 264209China Center for Excellence in Comparative Planetology Chinese Academy of SciencesHefei 230026China Center for Lunar and Planetary Science Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China College of Geoexploration Science and Technology Jilin UniversityChangchun 130000China Institute of geology Chinese Academy of Geological SciencesBeijing 100037China School of Earth sciences and Resources China University of GeosciencesBeijing 100083China Institute of Geographic sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Hawai’i Institute of geophysics and Planetology Department of Earth SciencesUniversity of Hawai’i at ManoaHonolulu HI 96826USA National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Mining Inner Mongolia University of TechnologyHohhot 010051China University of chinese Academy of {1.s Beijing 100049China

Scientific knowledge of lunar lithologies was first acquired in the *** space race between the United States(U.S.)and Soviet Union has promoted numerous manned and robotic lunar exploration *** datasets from these missions,the first series of lunar geologic maps was prepared and published by the *** Survey(USGS)The definition of lunar geological features in these maps was mostly based on morphological characteristics but lacked lithological constraints owing to the incompleteness of the compositional datasets *** two decades of silence,a new era of lunar exploration began in the 1.90s when the Galileo spacecraft flew by the Moon during its gravity-assisted *** very successful orbital missions,the Clementine and Lunar Prospector(LP),provided the first global geochemical and mineralogical(multispectral,gamma ray,neutron,etc.)datasets of the lunar surface.

关键词：美国地质勘探局物质成分编研地质综合研究月球表面数据资料 2.世纪90年代以来分类体系

Sub-percent precision measurement of neutrino oscillation parameters with JUNO

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chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming chen Pingping chen Po-An chen Shaomin chen Xurong chen Yixue chen Yu chen Zhiyuan chen Zikang chen Jie cheng Yaping cheng Yu Chin cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei li-cheng Feng Qichun Feng Richard Ford Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia Universiélibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile beijing Institute of Spacecraft Environment Engineering BeijingChina beijing Normal University BeijingChina china Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North china Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of chinese Academy of {1. BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of china HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South china HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing University NanjingChina Guangxi University NanningChina East china University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi'an Jiaotong University Xi'anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31.^(2.,△m_(2.1}^(2.,sin^(2.θ_(1.),and sin^(2.θ_(1.) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite *** is found that the △m_(2.1}^(2. and sin^(2.θ_(1.) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31.^(2. parameter will be determined to about 0.2.precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

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青藏高原植被结构变化反映环境变迁

Science Bulletin 2023年第17期68卷 1928-1937页

作者：王艳芬薛凯胡容海丁柏阳曾弘李瑞津徐斌庞哲宋小宁李聪佳杜剑卿杨秀春张泽林郝彦宾崔骁勇郭柯高清竹张扬建朱军涛孙建李耀明姜丽丽周华坤罗彩云张振华高庆波陈世龙纪宝明徐兴良陈槐李奇赵亮徐世晓刘雅莉胡林勇武建双杨其恩董世魁贺金生赵新全汪诗平朴世龙于贵瑞傅伯杰 College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016China Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001China Binzhou Institute of Technology Weiqiao-UCAS Science and Technology ParkBinzhou 256606China College of Mining Engineering North China University of Science and TechnologyTangshan 063210China Key Laboratory of Agri-Informatics Ministry of Agriculture and Rural AffairsInstitute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China College of life {1. University of Chinese Academy of SciencesBeijing 100049China School of Grassland Science Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural SciencesBeijing 100081China Key Laboratory for Agro-Environment&Climate Change Ministry of AgricultureBeijing 100081China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization&Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of BiologyChinese Academy of SciencesChengdu 610041China Zoige Peatland and Global Change Research Station Chinese Academy of SciencesHongyuan 62

草地植被结构对于其生产和生态功能至关重要,但大尺度信息严重匮乏.本研究结合多源遥感数据和深度学习,在区域尺度上厘清了青藏高原高寒草地基于群系的植物群落结构空间格局,并比较了其历史变化.过去40年,高寒草甸在高寒草地中的比例从... 详细信息

草地植被结构对于其生产和生态功能至关重要,但大尺度信息严重匮乏.本研究结合多源遥感数据和深度学习,在区域尺度上厘清了青藏高原高寒草地基于群系的植物群落结构空间格局,并比较了其历史变化.过去40年,高寒草甸在高寒草地中的比例从50%上升到69%,反映了变暖变湿的环境变化.此外,高寒草甸和高寒草原中高山嵩草草甸和紫花针茅草原的优势度分别增强到76%和92..其中,气候因子驱动了紫花针茅草原近些年的分布;高山嵩草草甸近些年的分布则并非完全由气候驱动,人类活动可能起重要作用.本研究首次探索了区域尺度植被结构特征与历史变化,为认识青藏高原草地变化的驱动力及其空间异质性提供了新视角.

关键词：高寒草地植被结构草地植被多源遥感数据深度学习植物群落结构区域尺度高寒草原

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长江经济带环境地质调查研究进展

华东地质 2023年第3期44卷 239-261页

作者：姜月华周权平倪化勇陈立德程和琴雷明堂葛伟亚马腾施斌程知言段学军苏晶文朱锦旗修连存向芳朱志敏冯乃琦谢忠胜谭建民彭轲郭盛乔伏永朋任海彦孙建平杨强朱继良王东辉李明辉刘广宁范晨子王新峰史玉金王寒梅董贤哲陈焕元郝社峰邓娅敏李云肖则佑杨海刘林金阳张鸿梅世嘉齐秋菊吕劲松侯莉莉陈刚陈孜贾正阳中国地质调查局南京地质调查中心江苏南京210016 自然资源部流域生态地质过程重点实验室江苏南京210016 中国地质科学院探矿工艺研究所四川成都611734 中国地质调查局武汉地质调查中心湖北武汉430205 华东师范大学上海200241 中国地质科学院岩溶地质研究所广西桂林541004 中国地质大学(武汉) 湖北武汉430074 南京大学江苏南京210023 江苏省地质矿产勘查局江苏南京210018 中国科学院南京地理与湖泊研究所江苏南京210008 江苏省地质调查研究院江苏南京210018 成都理工大学四川成都610059 中国地质科学院郑州矿产综合利用研究所河南郑州450006 南京农业大学江苏南京210095 中国地质调查局水文地质环境地质调查中心河北保定071051 中国地质调查局成都地质调查中心四川成都610081 国家地质实验测试中心北京100037 上海市地质调查研究院上海200072 浙江省水文地质工程地质大队浙江宁波315012 浙江省核工业二六二大队浙江湖州313000 江西省地质矿产勘查开发局赣南地质调查大队江西赣州341001

中国地质调查局近年组织实施了“长江经济带地质环境综合调查工程”,采用环境地质调查、评价、监测以及专题研究和综合研究相结合等方法,取得了一批重要的成果和认识:①构建了长江经济带地质资源环境综合信息管理与服务系统,系统梳理了... 详细信息

中国地质调查局近年组织实施了“长江经济带地质环境综合调查工程”,采用环境地质调查、评价、监测以及专题研究和综合研究相结合等方法,取得了一批重要的成果和认识:①构建了长江经济带地质资源环境综合信息管理与服务系统,系统梳理了长江经济带与重点区域的资源环境条件和重大地质问题,提出了相关建议;②提出长江续接贯通时间是在距今75万年的早、中更新世之交的新认识;③探索形成流域5个系列生态修复示范关键技术和方法体系;④构建长江流域重大水利工程与地质环境效应研究方法体系,创建一套多模态传感器系统,提出重大水利工程对地质环境影响的新判断;⑤探索建立流域尺度地球关键带调查评价监测理论和方法体系;⑥创新应用“光纤技术”监测地面沉降和地裂缝、长江崩岸以及城镇地下空间开发利用扰动取得突破,相关技术引领光纤监测技术发展;⑦自主研发机载航空高光谱仪,建立航空高光谱遥感综合调查技术方法;⑧探索形成流域3种尺度资源环境承载能力和8种国土空间开发利用适宜性评价方法体系;⑨调查研究成果在支撑服务长江经济带国土空间规划、流域生态环境保护和修复、支撑服务新型城镇化战略、重大工程规划建设、地质灾害防治、脱贫攻坚和国家地下战略储油储气库基地建设等方面均得到了广泛应用,形成2.0}稳定的环境地质调查专业团队。

关键词：长江经济带长江流域环境地质水文地质工程地质地质环境地质调查资源环境承载能力

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