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Fate of Nitrogen from Organic and Inorganic Sources in rice-Wheat rotation Cropping System

agricultural sciences in china 2010年第7期9卷 1017-1025页

作者： chen yi,wu chun-yan,tang xu,{3.,zhejiang Academy of agricultural sciences,hangzhou 3.0021,p.r.china [a] institute of environmental resources and {3. fertilizer Zhejiang Academy of Agricultural Sciences Hangzhou 310021 P.R. China

The lower availability of N is one of the most important limiting factors impeding crop yield enhancement among the various factors that affect crop yield under the multiple-cropping agroecosystem in *** this study,the recovery of a single application of 15N-labeled fertilizer or residues in rice-wheat cropping system was determined,in order to provide theoretical foundation for the nitrogen management in sustainable {3. production.A continuous trace experiment was conducted for 15N microplots by using randomized block design with four treatments and four replications（T1 = 15N-labeled fertilizer with crop residue incorporation,T2 = 15N-labeled residues,T3.= 14N fertilizer to generate unlabeled crop residue,and T4 = 15Nlabeled fertilizer without crop residue incorporation）.Our results showed that,on average,17.17 and 12.01% of crop N was derived from N fertilizer and 15N-labeled residues,respectively during the first growing season,suggesting that approximately 82.83.or 87.99% of crop N was derived directly from soil N *** was a larger difference in the 15N recovery pattern in crop when N was applied as fertilizer or residues,i.e.,most of crop N derived from N fertilizer was absorbed in the first growing season（92.04%）,and the relevant value was 3..03. when 15N-labeled residues were *** implied that most of N fertilizer was recovered in the present cropping season,while a longer residue effect will be found for 15N-labeled ***,the average recovery of N fertilizer and N residue in the soil after the first growing season was 3..46 and 85.64%,*** recovery of applied N in soil when N was applied as residues was significantly higher than that when N was applied as *** was a larger difference in the total 15N recovery in plant and soil when N was applied as fertilizer or *** the end of the fifth or sixth cropping season,the total 15N recovery in plant and soil when N was applied as fertilizer or resi

关键词： crop residue fertilizer fate 15N isotope nitrogen fertilizer rice field

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Contributions of Different N Sources to Crop N Nutrition in a Chinese rice Field

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pedosphere 2010年第2期20卷 198-208页

作者： chen yi,tang xu,yang {3.-mao,wu chun-yan and wang jia-yu institute of environmental resources and soil {13.,zhejiang Academy of agricultural sciences,hangzhou 3.0021 (china) [a] institute of environmental resources and {3. fertilizer Zhejiang Academy of Agricultural Sciences Hangzhou 310021 (China)

N availability is one of the most important factors limiting crop yield *** recovery of applications of 15 N-labeled fertilizer and crop residues in a rice-wheat cropping system was determined for up to 6 consecutive growing *** crop residues from the previous season were either incorporated or removed as two different *** results showed that 16.55%-17.79% (17.17% on average) of the fertilizer N was recovered in the crop during the first growing season,suggesting that more than 80% of crop N was not directly from the N *** 15 N-labeled residues were applied,12.01% was recovered in the crop in the first growing *** average recoveries of fertilizer N and crop residue N in the soil after the first growing season were 3..46% and 85.64%,respectively.N from soil organic matter contributed approximately 83. of the N in the crop when 15 N fertilizer was applied or 88% when crop residues were *** was a larger difference in the total 15 N recovery in plant and soil between N applications in the forms of fertilizer and crop *** of crop residues following the 15 N fertilizer application did not significantly promote 15 N recovery in the crop or *** average,only additional 1.94% of N for the fertilizer-applied field or 5.97% of N for the crop residue-applied field was recovered by the crops during the 2nd and 3.d growing *** total recoveries of 15 N in crop and soil were approximately 64.3.% for the fertilizer-applied field after 6 growing seasons and 79.11% for the crop residue-applied field after 5 growing *** fertilizer N appeared to be more readily available to crops than crop residue N,crop residue N replenished soil N pool,especially N from soil organic matter,much more than fertilizer ***,crop residue N was a better source for sustaining soil organic *** results suggested that the long-term effect of fertilizer or crop residues on N recovery were differen

关键词： crop residue 15 N recovery N fertilizer

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Estimation of Turnover and Equilibrium of soil Organic Matter Using a Mathematical Approach

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pedosphere 2006年第5期16卷 634-645页

作者： wu chun-yan chen yi wang {3.-yu wang sheng-{3. institute of environmental resources ＆ {3. fertilizer Zhejiang Academy of Agricultural Sciences Hangzhou 310021（China）

The methods based on N uptake of aerial-plants, soil organic matter (SOM) dynamics, Jenny's equation, and actual measurement of long-term field experiments in jiaxing, Quzhou, Huangyan and {3. of zhejiang province, china were used to determine the organic mineralization rate being helpful in estimating the organic requirement for SOM equilibrium. The results showed that the estimated mineralization ratios of SOM for jiaxing and Quzhou were, respectively, 0.0404 and 0.0508 based on N uptake of aerial-plants in non-fertilized plots; 0.0405 and 0.012 using SOM dynamics in non-fertilized plots; and 0.0413.and 0.0513.using the actual investigated data and Jenny's equation. With Jenny's equation, soil organic C balance in manure + N-p-K plots was estimated at nearly 28.8 g kg-1 for jiaxing and 3..4 g kg-1 for Quzhou with predicted SOM linearly related to the actual investigated values (r2 = 0.9640 for jiaxing and 0.8541 for Quzhou). To maintain the SOM balance in the non-fertilized plots the recommended rate of organic materials was 3.000-6 600 kg ha-1, and the relevant rates of farm yard manure (FYM) in the manure and N-p-K plots were estimated at 3.3.5 (dry) and 17670 kg ha-1 (wet) for jiaxing, 1845 (dry) and 6090 kg ha-1 (wet) for Quzhou.

关键词： equilibrium mathematic modeling rice fields soil organic matter (SOM) turnover

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Searching for^(76)Ge neutrinoless double beta decay with the CDEX-1B experiment

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Chinese physics C 2024年第10期48卷 11-22页

作者： Bing-Tao Zhang Jun-Zheng wang Li-Tao yang Qian yue Ke-Jun Kang yuan-Jing Li Hai-peng An C.Greeshma jian-ping Chang yun-Huan chen jian-ping cheng Wen-Han Dai Zhi Deng Chang-Hao Fang Xin-ping Geng Hui Gong Qiu-Ju Guo xu-yuan Guo Li He sheng-Ming He Jin-Wei Hu Han-Xiong Huang Tu-chen Huang Hai-Tao jia Xi jiang S.Karmakar Hao-Bin Li jian-Min Li Jin Li Qian-yun Li ren-Ming-Jie Li xue-Qian Li yu-Lan Li yi-Fan Liang Bin Liao Fong-Kay Lin Shin-Ted Lin jia-xuan Liu Shu-Kui Liu yan-Dong Liu yu Liu yuan-yuan Liu Zhong-Zhi Liu Hao Ma yu-Cai mao Qi-yuan Nie Jin-Hua Ning Hui pan Ning-chun Qi Jie ren Xi-Chao ruan Ze She Manoj Kumar Singh Tian-Xi Sun Chang-jian tang Wei-You tang yang Tian Guang-Fu wang Li wang Qing wang yu-Feng wang yun-Xiang wang Henry-Tsz-King Wong Shi-Yong wu yu-cheng wu Hao-yang Xing rui xu yin xu Tao xue yu-Lu yan Nan yi chun-xu yu Hai-Jun yu jian-Feng yue Ming Zeng Zhi Zeng Feng-Shou Zhang Lei Zhang Zhen-Hua Zhang Zhen-yu Zhang Kang-Kang Zhao Ming-Gang Zhao Ji-Fang Zhou Zu-ying Zhou Jing-Jun Zhou Key Laboratory of particle and radiation Imaging(Ministry of Education)and Department of Engineering physics Tsinghua UniversityBeijing 100084 Department of physics Tsinghua UniversityBeijing 100084 institute of physics Academia SinicaTaipei 11529 NUCTECH Company Beijing 100084 YaLong river Hydropower Development Company Chengdu 610051 College of Nuclear Science and Technology Beijing Normal UniversityBeijing 100875 College of physics Sichuan UniversityChengdu 610065 School of physics Peking UniversityBeijing 100871 Department of Nuclear physics China Institute of Atomic EnergyBeijing 102413 Sino-French institute of Nuclear and Technology Sun Yat-sen UniversityZhuhai 519082 School of physics Nankai UniversityTianjin 300071 Department of physics Banaras Hindu UniversityVaranasi 221005 Department of physics Beijing Normal UniversityBeijing 100875

We operated a p-type point contact high purity germanium(ppCGe)detector(CDEX-1B,1.008 kg)in the china Jinping Underground Laboratory(CJpL)for 500.3.days to search for neutrinoless double beta(0νββ)decay of^(76)Ge.A total of 504.3.kg⋅day effective exposure data was *** anti-coincidence and the multi/single-site event(MSE/SSE)discrimination methods were used to suppress the background in the energy region of interest(rOI,1989–2089 keV for this work)with a factor of 23.A background level of 0.3. counts/(keV⋅kg⋅yr)was *** lower limit on the half life of^(76)Ge 0νββdecay was constrained as T_(1/2)^(0ν)>1.0×10^(23.yr(90%C.L.),corresponding to the upper limits on the effective Majorana neutrino mass:3.2–7.5 eV.

关键词： neutrinoless double beta decay CDEX point-contact germanium detector ^(76)Ge

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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 Tian{3.n 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 yi{3.n Cai yizhou Cai yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao {3.nshe Cao Antoine Chance {13.ejun 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 {13.n chen {13.rong 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 {13.wen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuang{13.e Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev tang Dewen Biagio Di Micco ran Ding Siqin Dingl Yadong Ding Haiyi Dong {3.nin 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 3. 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 3. MW per beam,it can achieve a luminosity of 5×10^(3.)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-203.s.

关键词： initiated exceeding precise

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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 {3. 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 {13. 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 {3. Wei {3. 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 3.(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.3.–6.3.), type 2 diabetes(T2 DM)(3.57, 2.3.–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, 11.47–3..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

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Timing analysis of the black hole candidate EXO 1846–03. with Insight-HXMT monitoring

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research in Astronomy and Astrophysics 2021年第3期21卷 193-204页

作者： He-Xin Liu yue Huang Guang-cheng Xiao Qing-Cui Bu Jin-Lu Qu Shu Zhang Shuang-Nan Zhang Shu-Mei jia Fang-Jun Lu Xiang Ma Lian Tao Wei Zhang Li chen Li-Ming Song Ti-pei Li yu-peng xu xue-Lei Cao Yong chen Cong-Zhan Liu Ce Cai Zhi Chang Gang chen Tian-Xiang chen yi-Bao chen yu-peng chen Wei Cui Wei-Wei Cui Jing-Kang Deng Yong-Wei Dong yuan-yuan Du Min-xue Fu Guan-Hua Gao He Gao Min Gao Ming-yu Ge yu-Dong Gu Ju Guan cheng-cheng Guo Da-Wei Han jia Huo Lu-Hua jiang Wei-chun jiang Jing Jin Yong-Jie Jin Ling-Da Kong Bing Li cheng-Kui Li Gang Li mao-Shun Li Wei Li Xian Li Xiao-Bo Li xu-Fang Li yang-Guo Li Zheng-Wei Li Xiao-Hua Liang Jing-yuan Liao Bai-sheng Liu Guo-Qing Liu Hong-Wei Liu Xiao-Jing Liu yi-Nong Liu Bo Lu xue-Feng Lu Qi Luo Tao Luo Bin Meng yi Nang jian-yin Nie Ge Ou Na Sai ren-cheng Shang Xin-ying Song Liang Sun ying Tan You-Li Tuo chen wang Guo-Feng wang Juan wang Ling-Jun wang Weng-Shuai wang yu-Sa wang Xiang-yang Wen Bai-yang wu Bo-Bing wu Mei wu Shuo Xiao Shao-Lin Xiong He xu jia-Wei yang sheng yang yan-Ji yang yi-Jung yang Qi-Bin yi Qian-Qing yin yuan You Ai-Mei Zhang cheng-Mo Zhang Fan Zhang Hong-Mei Zhang Juan Zhang Tong Zhang Wan-Chang Zhang Wen-Zhao Zhang yi Zhang yi-Fei Zhang Yong-Jie Zhang yuan-Hang Zhang yue Zhang Zhao Zhang Zhi Zhang Zi-Liang Zhang Hai-sheng Zhao Xiao-Fan Zhao Shi-Jie Zheng Yao-Guang Zheng Deng-Ke Zhou jian-Feng Zhou yu-xuan Zhu ren-Lin Zhuang yue Zhu 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 Institut fur Astronomie und Astrophysik Kepler Center for Astro and Particle PhysicsEberhard Karls Universität72076 TubingenGermany Department of Astronomy Beijing Normal UniversityBeijing 100088China Department of Astronomy Tsinghua UniversityBeijing 100084China Department of physics Tsinghua UniversityBeijing 100084China Department of Engineering physics Tsinghua UniversityBeijing 100084China Key Laboratory of Space Astronomy and Technology National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China College of physics sciences&Technology Hebei UniversityBaoding 071002Hebei ProvinceChina

We present the observational results from a detailed timing analysis of the black hole candidate EXO 1846-03. during its outburst in 2019 with the observations of Insight-HXMT,NICEr and *** outburst can be classified roughly into four different ***-C quasi-periodic oscillations(QpOs)observed by NICEr(about 0.1-6 Hz)and Insight-HXMT(about 0.7-8 Hz)are also reported in this ***,we study various physical quantities related to QpO *** QpO rms-frequency relationship in the energy band 1-10 keV indicates that there is a turning pointing in frequency around2 Hz,which is similar to that of GrS 1915+105.A possible hypothesis for the relationship above may be related to the inclination of the source,which may require a high inclination to explain *** relationships between QpO frequency and QpO rms,hardness,total fractional rms and count rate have also been found in other transient sources,which can indicate that the origin of type-C QpOs is non-thermal.

关键词： X-ray binaries black hole candidate QpO EXO 1846–03.

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禁渔初期鄱阳湖鱼类时空分布特征

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水生生物学报 2023年第1期47卷 147-155,I0005,I0006页

作者：李慧峰王珂余绪俊高雷贾春艳郭杰段辛斌王生陈大庆汪登强王琳中国水产科学研究院长江水产研究所武汉430223 南京农业大学无锡渔业学院无锡214081 江西省水生生物保护救助中心南昌330000 中国水产科学研究院资源与环境研究中心北京100141 农业农村部渔业遥感科学观测实验站北京100141

研究于2020-2021年使用Simrad EY60鱼探仪对鄱阳湖进行了秋季、春季和冬季共3.的水声学调查,并同步开展渔获物调查作为补充,分析鄱阳湖鱼类资源时空分布变化特征。结果表明:在季节分布上,鱼类目标强度和密度值都存在显著差异(p春季[(–... 详细信息

研究于2020-2021年使用Simrad EY60鱼探仪对鄱阳湖进行了秋季、春季和冬季共3.的水声学调查,并同步开展渔获物调查作为补充,分析鄱阳湖鱼类资源时空分布变化特征。结果表明:在季节分布上,鱼类目标强度和密度值都存在显著差异(p3.dB]>春季[(–52.10±4.59)dB]>秋季[(–52.71±9.95)dB],在鱼类密度上表现为冬季(54.61 ind./1000 m3.>秋季(46.10 ind./1000 m3.>春季(18.54 ind./1000 m3.;在水平分布上,鱼类资源空间分布不均且不同湖区间有显著差异(p中层>表层,春季表现为表层>中层>底层。综合来看,鄱阳湖鱼类时空分布与鱼类的生活习性如产卵、育肥和越冬等因素密切相关。研究结果为从宏观空间尺度分析区域鱼类时空变动特征提供参考,也为鄱阳湖禁捕效果评估及生物完整性评价提供数据支撑。

关键词：渔业资源水声学时空分布禁渔鄱阳湖

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中国地层花粉数据集

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植物生态学报 2023年第10期47卷 1453-1463页

作者：周伯睿廖梦娜李凯徐德宇陈海燕倪健曹现勇孔昭宸许清海张芸 Ulrike HErZSCHUH 蔡永立陈碧珊陈敬安陈陵康程波高洋黄赐璇黄小忠李升峰李文漪廖淦标刘光琇刘平妹刘兴起马春梅宋长青孙湘君唐领余王曼华王永波夏玉梅徐家声阎顺羊向东姚轶锋叶传永张志勇赵增友郑卓朱诚浙江师范大学化学与生命科学学院浙江金华321004 浙江金华山亚热带森林生态系统野外科学观测研究站浙江金华321004 中国科学院青藏高原研究所青藏高原地球系统科学国家重点实验室北京100101 中国科学院植物研究所植被与环境变化国家重点实验室北京100093 河北师范大学资源与环境科学学院石家庄050027 Alfred Wegener institute Helmholtz Centre for polar and Marine research Potsdam 14473Germany 上海交通大学设计学院上海200240 岭南师范学院地理科学学院广东湛江524048 中国科学院地球化学研究所环境地球化学国家重点实验室贵阳550081 广东石油化工学院理学院广东茂名525000 华中师范大学城市与环境科学学院武汉430079 贵州师范大学喀斯特研究院贵阳550001 中国科学院地理科学与自然资源研究所北京100101 兰州大学环境资源学院兰州730000 南京大学地理与海洋科学学院南京210023 Department of Oceanography and Coastal sciences Louisiana State UniversityBaton RougeLA 70803USA 中国科学院西北生态环境资源研究院兰州730000 台湾大学地质科学系中国台北10617 首都师范大学资源环境与旅游学院北京100048 北京师范大学地表过程与资源生态国家重点实验室北京100875 同济大学海洋与地球科学学院上海200092 中国科学院南京地质古生物研究所南京210008 鲁东大学资源与环境工程学院山东烟台264025 中国科学院东北地理与农业生态研究所长春130102 自然资源部第一海洋研究所山东青岛266061 中国科学院新疆生态与地理研究所乌鲁木齐830011 中国科学院南京地理与湖泊研究所南京210008 中国科学院植物研究所系统与进化植物学国家重点实验室北京100093 中国地质科学院矿产资源研究所北京100037 中国科学院庐山植物园江西九江332900 西南大学地理科学学院重庆400715 中山大学地球科学与工程学院广州510275

地层孢粉数据是古植被和古气候重建等古环境研究的重要基础。孢粉数据库推动古环境研究从点到区域和全球尺度,从定性到定量,从而实现在大空间尺度和长时间序列上探索植被、气候和人类干扰的相互关系,以更好地理解地球系统的演变。该数... 详细信息

地层孢粉数据是古植被和古气候重建等古环境研究的重要基础。孢粉数据库推动古环境研究从点到区域和全球尺度,从定性到定量,从而实现在大空间尺度和长时间序列上探索植被、气候和人类干扰的相互关系,以更好地理解地球系统的演变。该数据集整合了全国第四纪末期(5万年以来)共3.2个地层花粉序列,涵盖790个花粉类群,样点分布于中国3.个省级行政区与领海。数据集包含地层花粉采样点的地名、经纬度坐标和海拔高度、数据来源、样品类型、沉积物长度、样品数量、测年方法及测年数量、时间跨度和参考文献,以及每个采样点的花粉含量百分比。数据主要来源于20世纪80年代至今。采样点集中分布在温带和亚热带森林、温带草原和荒漠以及青藏高原高寒植被区域;在深海到青藏高原不同海拔高度都有分布,但集中在海拔2000 m之下。按照数据来源区分,原始数据样点178个,占47.8%;数值化数据194个,占52.2%。按照样品类型分类,多数样点为湖泊样品(151个)、冲积物/洪积物样品(99个)与泥炭样品(67个),占总样点数的85.2%。年代测定的主要方法为放射性碳同位素手段(占样品总数的93.8%),大部分记录有2-10个测年数据。采样点的平均花粉类群数量是19个,以4-3.个花粉类群的采样点最多。代表性花粉类群(松属(pinus)、栎属(Quercus)、蒿属(Artemisia)、禾本科)含量的时空分布格局表明,从末次盛冰期到全新世,这些花粉科属的分布范围扩大,含量也增加,但分布区域具有分异。半个多世纪以来,孢粉学工作者建立中国大部分地区的地层花粉记录,为探究古环境演变及其气候变化、人类活动驱动机制奠定了重要的基础。

关键词：花粉数据库地层花粉第四纪末期古植被古气候

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2005年中国城市CO2排放数据集

引用

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

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