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Chemical Research in Chinese Universities 2008年第5期24卷 584-587页

作者： hou a-li meng qing-fan an jin-shuang zhu kai feng yun teng li-rong College of life Science Jilin University Changchun 130012 P. R. China

The crude polysaccharide was obtained by means of the decolorization of porphyrized Cordyceps minlitaris stroma with organic solvent, extraction with hot water, precipitation in 80% ethanol, and protein removal with the Sevag method. After purification with Sephadex G-75, two of its components, CMP-1 and CMP-2, were obtained. Through the assay of gel chromatography and polarimetry, CMP-1 was identified as pure polysaccharide. The results demonstrated that CMP-1 had favorable oxidation resistance activity, which could scavenge not only oxygen-free radicals in the self-oxidation system of pyrogallic acid, but also the hydroxide-free radicals in the Fenton system. The study focused on the effects of low, medium, and high dosages of CMP-1 in rat blood serum on the proliferation of glomerular mesangial cells in vitro. Through MTT Colorimetric analysis, the activities were compared among the blank control group and the Niaoduqing positive control group CMP-1 and CMP-2. The results shows that CMP-1 was able to inhibit the proliferation of rat glomerular mesangial cells effectively. Therefore, CMP-1, one component of polysaccharides of Cordyceps minlitaris, was certainly a potential remedy for hyperplastic glomerular nephritis, whose antioxidant activity could slow down the process of chronic renal failure（CRF） to some extent.

关键词： Cordyceps minlitaris Polysaccharide Glomerular mesangial cell Oxidation resistance Chronic renal failure

The In-Flight Realtime Trigger and Localization Software of GECAM

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Research in Astronomy and Astrophysics 2024年第10期24卷 11-24页

作者： Xiao-yun Zhao Shao-lin Xiong Xiang-Yang Wen Xin-Qiao li Ce Cai Shuo Xiao Qi Luo Wen-Xi Peng Dong-Ya Guo Zheng-Hua An Ke Gong jin-Yuan liao Yan-Qiu Zhang Yue Huang Lu li Xing Wen Fei Zhang jing Duan Chen-Wei Wang Dong-li Shi Peng Zhang Qi-Bin Yi Chao-Yang li Yan-Bing Xu Xiao-Hua liang Ya-qing liu Da-li Zhang Xi-Lei Sun fan Zhang Gang Chen Huan-Yu Wang Sheng Yang Xiao-jing liu Min Gao Mao-Shun li jin-Zhou Wang Xing Zhou Yi Zhao Wang-Chen Xue Chao Zheng Jia-Cong liu Xing-Bo Han jin-ling Qi Jia Huang Ke-Ke Zhang Can Chen Xiong-Tao Yang Dong-Jie hou Yu-Sa Wang Rui Qiao Xiang Ma Xiao-Bo li Ping Wang Xin-Ying Song li-Ming Song Shi-Jie Zheng Bing li Hong-Mei Zhang Yue zhu Wei Chen Jian-Jian He Zhen Zhang jin hou Hong-Jun Wang Yan-Chao Hao Xiang-Yu Wang Zong-Yuan Yang Zhi-Long Wen Zhi Chang Yuan-Yuan Du Rui Gao Xiao-Fei Lan Yan-Guo li Gang li Xu-fang li fang-Jun Lu Hong Lu Bin meng feng Shi Hui Wang Hui-Zhen Wang Yu-Peng Xu Jia-Wei Yang Xue-Juan Yang shuang-Nan Zhang Chao-Yue Zhang Cheng-Mo Zhang Zhi-Cheng Tang Cheng Cheng Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China School of Information Science and Technology Southwest Jiaotong UniversityChengdu 611756China Key Laboratory of Stellar and Interstellar Physics and Department of Physics Xiangtan UniversityXiangtan 411105China Physics and Space Science College China West Normal UniversityNanchong 637002China Department of Astronomy Beijing Normal UniversityBeijing 100875China Innovation Academy for Microsatellites of CAS Shanghai 201203China Changchun University of Science and Technology Changchun 130022China Chinese Academy of Sciences South America Center for Astronomy National Astronomical ObservatoriesCASBeijing 100101China

Realtime trigger and localization of bursts are the key functions of GECAM,an all-sky gamma-ray monitor launched on 2020 December *** developed a multifunctional trigger and localization software operating in the CPU of the GECAM Electronic *** onboard software has the following features:high trigger efficiency for real celestial bursts with a suppression of false triggers caused by charged particle bursts and background fluctuation,dedicated localization algorithm optimized for both short and long bursts,and low time latency of the trigger information which is downlinked through the Global Short Message Communication service of the global BeiDou navigation *** paper provides a detailed description of the design and development of the trigger and localization software system for *** covers the general design,workflow,the main functions,and the algorithms used in the *** paper also includes on-ground trigger tests using simulated gamma-ray bursts generated by a dedicated X-ray tube,as well as an overview of the performance for real celestial bursts during its in-orbit operation.

关键词： telescopes instrumentation:detectors methods:observational

CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen jinhui Chen Ji-Yuan Chen kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi ling-yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu kaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP jinR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

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Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA Yan zhu Dong Shan CHEN Ren Bo SHI Nan Nan liU Si Hong fan Yi Pin WU Gui Hui YANG Pu Ye BAI Jiang feng CHEN Hong CHEN li Ying feng Qiao GUO Tuan Mao hou Yong HU Gui Fen HU Xiao Mei HU yun Hong HUANG jin HUANG Qiu Hua HUANG Shao Zhen JI liang jin Hai Hao LEI Xiao li Chun Yan li Min qing li Qun Tang li Xian Yong liU Hong De liU jin Ping liU Zhang MA Yu Ting MAO Ya MO liu Fen NA Hui WANG jing Wei SONG fang li SUN Sheng WANG Dong Ting WANG Ming Xuan WANG Xiao Yan WANG Yin Zhen WANG Yu Dong WU Wei WU Lan Ping XIAO Yan Hua XIE Hai Jun XU Hong Ming XU Shou fang XUE Rui Xia YANG Chun YANG kai Jun YUAN Sheng li ZHANG Gong Qi ZHANG jin Bo ZHANG lin Song ZHAO Shu Sen ZHAO Wan Ying ZHENG kai Zhou Ying Chun zhu Jun teng zhu Tian qing ZHANG Hua Min WANG Yan Ping WANG Yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-li Luo Yong-Heng Zhao Gang Zhao li-Cai Deng Xiao-Wei liu Yi-Peng jing Gang Wang Hao-Tong Zhang Jian-rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-Ping li Zhong-Rui Bai Yue Wu Yan Cai Shu-yun Cao Zi-Huang Cao Jeffrey L.Carlin Hai-Yuan Chen Jian-Jun Chen Kun-Xin Chen li Chen Xue-Lei Chen Xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-Zhou Cui Yi-Qiao Dong Bing Du Dong-Wei fan Lei feng Jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin Guo Zhan-Wen Han Bo-liang He jin-liang hou Yong-Hui hou Wen hou Hong-zhuan Hu Ning-Sheng Hu Zhong-Wen Hu Zhi-Ying Huo Lei Jia fang-Hua Jiang Xiang Jiang Zhi-Bo Jiang Ge jin Xiao Kong Xu Kong Ya-Juan Lei Ai-Hua li Chang-Hua li Guang-Wei li Hai-Ning li Jian li Qi li shuang li Sha-Sha li Xin-Nan li Yan li Yin-Bi li Ye-Ping li Yuan liang Chien-Cheng lin Chao liu Gen-rong liu Guan-Qun liu Zhi-Gang liu Wen-Zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg Ji-Jun Ni Zhao-Xiang Qi Yong-Jun Qi Shi-Yin Shen Huo-Ming Shi jing Song Yi-Han Song Ding-Qiang Su Hong-Jun Su Zheng-Hong Tang qing-Sheng Tao Yuan Tian Dan Wang Da-Qi Wang feng-Fei Wang Guo-Min Wang Hai Wang Hong-Chi Wang Jian Wang Jia-Ning Wang Jian-ling Wang Jian-Ping Wang Jun-Xian Wang Lei Wang meng-Xin Wang Shou-Guan Wang Shu-qing Wang Xia Wang Ya-Nan Wang You Wang Yue-Fei Wang You-Fen Wang Peng Wei Ming-Zhi Wei Hong Wu Ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu Xiao-Zheng Xing ling-Zhe Xu Xin-Qi Xu Yan Xu Tai-Sheng Yan De-Hua Yang Hai-feng Yang Hui-Qin Yang Ming Yang Zheng-Qiu Yao Yong Yu Hui Yuan Hai-Bo Yuan Hai-Long Yuan Wei-Min Yuan Chao Zhai En-Peng Zhang Hua-Wei Zhang Jian-Nan Zhang li-Pin Zhang Wei Zhang Yong Zhang Yan-Xia Zhang Zheng-Chao Zhang Ming Zhao fang Zhou Xu Zhou Jie zhu Yong-Tian zhu Si-Cheng Zou fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in June 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in June 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

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2005年中国城市CO2排放数据集

中国人口·资源与环境 2018年第4期28卷 1-7页

作者：蔡博峰刘晓曼陆军王金南刘红光陈洋陈占明丛建辉崔志鹏代春艳董会娟方恺冯彤郭杰李芬孟凡鑫唐伟王庚哲谢运生张建军阿依吐尔逊·沙木西布买日也木·买买提蔡伟光曾胜常盼陈前利陈振国单钰理丁冠乔独威范敏冯相昭干晓宇高壮飞谷雨何凌昊何姚胡鸣明黄丽珍黄桥贾小平菊春燕蓝菁李爽李松李耀光李照令刘合林刘婧文刘庆燕刘竹逯飞马贤磊欧金沛潘栋沈杨税月孙露谭效时唐敏唐袆祺王柯王思亓王香爱王晓培吴家杰吴雪萍肖连香邢文婷徐丽笑叶瑞克袁子坤张飞云张袆张明张琦峰张曦文张宇赵晶赵胜男郑思伟周来友朱天琦曹丽斌冯乐李栋李一静龙瀛孙瑞红环境保护部环境规划院北京100012 中国科学院大气物理研究所北京100029 南京农业大学公共管理学院江苏南京210095 上海财经大学城市与区域科学学院上海200433 中国人民大学经济学院北京100872 山西大学经济与管理学院山西太原030006 E20环境平台咨询部北京100195 重庆工商大学长江上游经济研究中心重庆400067 上海交通大学环境科学与工程学院上海200240 浙江大学公共管理学院浙江杭州310058 天津大学管理与经济学部天津300072 南京农业大学土地管理学院江苏南京210095 深圳市建筑科学研究院股份有限公司北京研创中心广东深圳518049 华南理工大学环境与能源学院广东广州510006 杭州市环境保护科学研究院环境政策研究中心浙江杭州310014 埃因霍芬理工大学建筑学院荷兰埃因霍芬5616SC 江西省科学院能源研究所江西南昌330000 中国地质大学(北京)土地科学技术学院北京100083 新疆农业大学管理学院新疆乌鲁木齐830052 重庆大学建设管理与房地产学院重庆400044 重庆工商大学财政金融学院重庆400067 东安格利亚大学国际发展学院英国诺维奇NR47TJ 环境保护部环境发展中心北京100029 环境保护部环境与经济政策研究中心北京100029 四川大学建筑与环境学院四川成都610065 浙江工业大学政治与公共管理学院浙江杭州310023 美国绿色建筑委员会城市与社区部北京100085 挪威科技大学工程学院挪威约尔维克2815 北京师范大学统计学院北京100875 青岛科技大学环境学院山东青岛266000 北京大学遥感与地理信息系统研究所北京100871 北京师范大学环境学院北京100875 筑波大学日本筑波305-0005 华中科技大学建筑与城市规划学院湖北武汉430074 美国东北大学工学院美国波士顿02115 河北省环境科学研究院规划所河北石家庄050037 中山大学地理科学与规划学院广东广州北京林业大学环境科学与工程学院北京宁波职业技术学院商贸外语学院浙江宁波重庆工商大学土地管理学院重庆日本国立环境研究所社会环境系统研究中心日本筑波中国船舶重工集团公司第七一四研究所北京重庆工商大学管理学院重庆渭南师范学院化学与材料学院陕西渭南福州大学经济与管理学院福建福州扬州大学环境科学与工程学院江苏扬州中国矿业大学管理学院江苏徐州北京大学城市与环境学院北京内蒙古大学公共管理学院内蒙古呼和浩特江苏大学财经学院江苏镇江赤峰学院资源与环境科学学院内蒙古赤峰新余学院经济管理学院江西新余北京市环境保护科学研究院生态与城市环境研究所北京北京清华同衡规划设计研究院有限公司技术创新中心北京100085 北京大学汇丰商学院英国校区华威大学交叉学科研究方法中心英国牛津100871 清华大学建筑学院北京100062 上海工程技术大学管理学院上海021620

2005年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2005年CO_2排放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。... 详细信息

2005年是中国承诺碳减排目标的基准年份,因而也是中国城市碳减排战略制定和近中期低碳转型的基准年份和对照年份。中国城市2005年CO_2排放数据的一致性、全面性和精准性对于中国所有城市和每个具体城市的目标考核和评估都有重要意义。基于中国高空间分辨率网格数据(CHRED 2.0)、城市层面统计数据以及大量现场调研和走访,建立2005年中国城市CO_2排放数据集,包括工业能源排放、工业过程排放、农业排放、服务业排放、城镇生活排放、农村生活排放、交通排放7个部门的直接排放数据和间接排放数据。该数据集的建立汇总了86名研究人员的工作成果,在企业、城市不同行业与部门、城市工业和城市总化石能源等不同层面进行了大量的交叉验证和数据分析,有效保障了数据的精确性和准确性。结果显示,2005年中国城市碳排放呈现出较大的体量差异和空间格局差异。排放前10的城市几乎比排放后10的城市的排放量高出两个数量级。高排放城市基本都是城市群的核心城市。东部城市直接排放占全国直接排放比例最高,达到44.59%,其次是西部城市21.76%,中部城市22.70%,东北城市10.95%。

关键词：城市 CO 2排放数据集中国高空间分辨率网格