检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Han, Yingying Wang, Chang Zhu, Yixue Wu, Rui Xue, Yifeng Zhang, Xiang Wang, Weiwei Cui, Yangyang Han, Jinxiu Shi, Zongbo Wang, Xiuyan Jin, Taosheng Tianjin Key Laboratory of Urban Transport Emission Research State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin300350 China Advanced Institute of Natural Sciences Beijing Normal University Zhuhai519087 China School of Environment Beijing Normal University Beijing100875 China Laboratory of Transport Pollution Control and Monitoring Technology Transport Planning and Research Institute Ministry of Transport Beijing100028 China National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Eco-Environmental Protection Beijing100037 China Sustainable Development Research Institute for Economy and Society of Beijing School of Management and Economics Beijing Institute of Technology Beijing100081 China School of Geography Earth and Environmental Sciences The University of Birmingham BirminghamB15 2TT United Kingdom

Heavy-duty diesel trucks (HDDTs) contributed significantly to on-road air pollution. This study measured the traffic flow of HDDTs on seven national highways in Beijing-Tianjin-Hebei (BTH) region to estimate air pollutants of HDDTs from 2016 to 2020. The emission factors are corrected by the International Vehicle Emissions (IVE) model, traffic flow, and road length. Compared with 2016, traffic flow in 2019 increased by 41%, carbon monoxide (CO) and nitrogen oxide (NOx) emissions increased by 0.3% and 4%, while hydrocarbons (HC) and particulate matter (PM) emissions decreased by about 26% and 18%. The COVID-19 lockdowns did not cause significant annual changes in traffic flow and pollution emissions in 2020 compared with 2019, but there were substantial monthly variations in pollutant emissions. Our study showed that although control measures were implemented during the "Thirteenth Five-Year Plan" period, the substantial increase in regional HDDT transport posed a continuing challenge in reducing road traffic emissions. © 2024, The Authors. All rights reserved.

关键词： COVID-19

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Mechanical characteristic and failure mode analysis of underwater non-dispersible polymer under different strain rates

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Materials Today Communications 2025年

作者： Feifan Shi Lei Qin Zhichuang Shi Yuhui Zhu Chengchao Guo Jin Tang Linchong Huang Fuming Wang School of Civil Engineering Sun Yat-sen University Zhuhai 519082 China State Key Laboratory for Tunnel Engineering Sun Yat-sen University Zhuhai 519082 China Guangdong Key Laboratory of Marne Civil Engineering Guangzhou 510275 China Guangdong Engineering Technology Research Center for Underground Space Development Guangzhou 510275 China Southern Institute of Infrastructure Testing and Rehabilitation Technology Huizhou 516029 China China Nuclear Industry Survey Design & Research Co. Ltd. Zhengzhou 450000 China

Underwater non-dispersible polymer (UNDP), characterized by its high early-age strength, low viscosity, and excellent permeability, is an effective grouting material for repairing disengagement in monolithic track beds. Multi-strain-rate compressive tests were conducted on UNDP specimens to systematically investigate the effects of loading rate on the mechanical characteristic and failure mode of UNDP. Systematic measurements of the uniaxial compressive stress-strain relationship were obtained. Through time-domain analysis of acoustic emission (AE) signals combined with Gaussian mixture model (GMM) algorithms, the damage characteristics and crack propagation patterns were quantitatively evaluated. The research results indicate that: (1) The stress-strain curve exhibited three distinct phases: compaction, plastic damage, and failure stages. Compressive strength demonstrated strain-rate dependency, increasing from 24.8 MPa (at 3.33×10 -3 s -1 ) to 30.9 MPa (at 1.67×10 -4 s -1 ), corresponding to a 24.6% enhancement in strength with a reduction in strain rate. (2) The evolution of energy dissipation during loading processes was systematically analyzed. Subsequently, a strain rate-sensitive segmented constitutive model was developed based on the characteristic points of energy dissipation. (3) The I b -value exhibited a significant decreasing trend with rising strain rates. Higher strain rates promoted microcrack initiation during the compaction stage and accelerated crack propagation throughout the entire process. (4) Crack-type discrimination was performed using GMM algorithms optimized by the Silhouette Coefficient (SC) and Bayesian Information Criterion (BIC). Specimens with strain rates of 1.67×10 -4 s -1 and 3.33×10 -3 s -1 showed comparable proportions of tensile and shear cracks (approximately 50% each), while specimens subjected to other strain rates exhibited tensile crack proportions exceeding 75%.

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Insights into chemoautotrophic traits of a prevalent bacterial phylum CSP1-3, herein Sysuimicrobiota

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National Science Review 2024年第11期11卷 61-75页

作者： Lan Liu Zheng-Han Lian Ai-Ping Lv Nimaichand Salam Jian-Chao Zhang Meng-Meng Li Wei-Min Sun Sha Tan Zhen-Hao Luo Lei Gao Yang Yuan Yu-Zhen Ming Yu-Ting Ou Yang Yu-Xian Li Ze-Tao Liu Chao-Jian Hu Ying Chen Zheng-Shuang Hua Wen-Sheng Shu Brian P.Hedlund Wen-Jun Li Jian-Yu Jiao State Key Laboratory of Biocontrol Guangdong Provincial Key Laboratory of Plant Stress Biology and Southern Marine Science and Engineering Guangdong Laboratory ZhuhaiSchool of Life Sciences Sun Yat-Sen University National Agri-Food Biotechnology Institute School of Earth System Science Institute of Surface-Earth System Science Tianjin University National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangdong Key Laboratory of Integrated Agro-Environmental Pollution Control and ManagementInstitute of Eco-Environmental and Soil SciencesGuangdong Academy of Sciences State Key Laboratory of Desert and Oasis Ecology Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands Xinjiang Institute of Ecology and GeographyChinese Academy of Sciences Chinese Academy of Sciences Key Laboratory of Urban Pollutant Conversion Department of Environmental Science and EngineeringUniversity of Science and Technology of China Institute of Ecological Science Guangzhou Key Laboratory of Subtropical Biodiversity and BiomonitoringGuangdong Provincial Key Laboratory of Biotechnology for Plant DevelopmentSchool of Life Sciences South China Normal University Guangdong Provincial Key Laboratory of Chemical Pollution South China Normal University School of Life Sciences University of Nevada Las Vegas Nevada Institute of Personalized Medicine University of Nevada Las Vegas

Candidate bacterial phylum CSP1-3 has not been cultivated and is poorly understood. Here, we analyzed 112 CSP1-3 metagenome-assembled genomes and showed they are likely facultative anaerobes, with 3 of 5 families encoding autotrophy through the reductive glycine pathway(RGP), Wood–Ljungdahl pathway(WLP) or Calvin-Benson-Bassham(CBB), with hydrogen or sulfide as electron donors. Chemoautotrophic enrichments from hot spring sediments and fluorescence in situ hybridization revealed enrichment of six CSP1-3 genera, and both transcribed genes and DNA-stable isotope probing were consistent with proposed chemoautotrophic metabolisms. Ancestral state reconstructions showed that the ancestors of phylum CSP1-3 may have been acetogens that were autotrophic via the RGP, whereas the WLP and CBB were acquired by horizontal gene transfer. Our results reveal that CSP1-3 is a widely distributed phylum with the potential to contribute to the cycling of carbon, sulfur and nitrogen. The name Sysuimicrobiota phy. nov. is proposed.

关键词： Sysuimicrobiota phy. nov facultative anaerobes chemoautotrophic metabolisms

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Insights from the international workshop on "Adapting agriculture to climate change and air pollution"

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Environmental Science and Pollution research 2024年第57期31卷 65905-65913页

作者： Agathokleous, Evgenios Emberson, Lisa Pei, Jie Kobayashi, Kazuhiko Blande, James D. Cook, Jo Fang, Chao Han, Zhiyu Ju, Hui Knopf, Oliver Li, Tao Liu, Bing Liu, Xiaoyu Masui, Noboru Masutomi, Yuji McHugh, Keelan O’Neill, Connie Pande, Pritha Rasheed, Muhammad Usman Ruhanen, Helena Shang, Bo Tai, Amos P. K. Yamaguchi, Masahiro Yu, Zhen Yuan, Xiangyang Xu, Yansen Zhao, Chuang Zhao, Jin Zheng, Haifeng Zhou, Hao Feng, Zhaozhong Nanjing210044 China Environment & Geography Department University of York YorkYO10 5DD United Kingdom School of Geospatial Engineering and Science Sun Yat-Sen University Zhuhai519082 China Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan Department of Environmental and Biological Sciences University of Eastern Finland Kuopio70211 Finland Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences Beijing100081 China Forschungszentrum Jülich GmbH Jülich52425 Germany Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education College of Life Sciences Sichuan University Chengdu China National Engineering and Technology Center for Information Agriculture Nanjing Agricultural University Jiangsu Nanjing210095 China School of Food and Nutritional Sciences University of Shizuoka Shizuoka4228526 Japan Center for Climate Change Adaptation National Institute for Environmental Studies Tsukuba Japan UCD School of Agriculture and Food Science University College Dublin DublinD04 N2E5 Ireland Earth and Environmental Sciences Programme Faculty of Science The Chinese University of Hong Kong Hong Kong Institute of Environment Energy and Sustainability and State Key Laboratory of Agrobiotechnology The Chinese University of Hong Kong Hong Kong Faculty of Environmental Science Nagasaki University Nagasaki852-8521 Japan College of Resources and Environmental Sciences China Agricultural University Beijing100193 China Lancaster Environment Centre Lancaster University LancasterLA1 4YQ United Kingdom

An international workshop on "Adapting Agriculture to Climate Change and Air Pollution" took place at Nanjing University of Information Science and Technology, Nanjing, China, during 23–27 October, 2023. Experts working in various multi-disciplinary areas of agroecosystem and environmental research gathered for academic communication and discussions. Two discussion groups focused on "agriculture under air pollution and climate change: current challenges and priorities for the future" and "adapting agriculture to air pollution and climate change: current status and next steps." Insights derived from the discussions are summarized in this article and include opinions about current issues, knowledge gaps' identification, and potential priorities and actions that could be taken. The first discussion mainly addresses ozone impact estimates;ozone metrics for impact and risk assessments;ozone monitoring;air pollution impacts and policy;and the pivotal role of agriculture and consumer choices. The second discussion covers adaptation and mitigation;greenhouse gases and energy efficiency;concerns about the link between adaptation and mitigation;local food, planetary-health diets and carbon footprint;irrigation and climate change adaptation;scientific evidence and policy-making;air pollution and crop adaptation;machine learning and crop modeling;and challenges faced by smallholder farmers and large-scale enterprises. Hence, this report could be useful for research, educational, and policy purposes, collating opinions of experts working in diverse research areas. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Carbon footprint

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Climatic and Biotic Controls of Evapotranspiration Across Grassland Ecosystems on Tibetan Plateau

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SSRN 2024年

作者： Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Hainan Baoting Tropical Rainforest Ecosystem Observation and Research Station Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Understanding the spatial variations of evapotranspiration (ET) and its components on Tibetan Plateau (TP) is pivotal for grasping the regional water cycle and energy balance dynamics. Yet it is unclear how the changes of the intricate synergy among diverse environment factors significantly impacts the patterns of ET and its transformation state. Addressing this gap, this study employed observational data from 14 sites, utilizing the Shuttleworth-Wallace-Hu (SWH) model to investigate the spatial relationships between ET, its components, and influencing factors. Model parameters of SWH were optimized by Monte Carlo method, achieving a commendable simulation performance with a mean R2 value of 0.75. Our analysis reveals that in alpine meadow, the ratio of transpiration (T) to ET (T/ET) is generally higher (0.55) compared to alpine steppe (0.39). The T/ET values for hover around or below 0.5, indicating a balanced contribution of various ET components. Spatially, both PPT and LAI have an impact on ET and T/ET. PPT emerges as the primary driver of interannual spatial variations in ET, while LAI plays a crucial role in regulating T/ET. Our results further demonstrate that a transition from water-dominated to energy-dominated systems in TP grassland ecosystem at an approximately aridity index of 0.73. This is noteworthy considering the general application of an aridity index of 0.65 to delineate arid from humid regions. It implies that TP grasslands, within the 0.65-0.73 range, remain primarily water-driven. This insight holds substantial implications for comprehending water-energy dynamics in similar ecosystems, challenging the conventional binary categorization of arid and humid areas. Such findings are of immense significance in enhancing understanding of the intricate interactions of the water cycle between land and the atmosphere. © 2024, The Authors. All rights reserved.

关键词： Water supply

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Precursor Design in Self-Templating Strategy for Carbon Encapsulated Bimetallic Catalysts: Boosting Organic Pollutants Degradation Via Nonradical Pathways

SSRN

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SSRN 2022年

作者： Guo, Weixuan Zhuang, Sixiang Shen, Yi Li, Yungui Zhang, Suorong Fang, Qile Research and Development Center for Watershed Environmental Eco-Engineering Beijing Normal University Zhuhai519087 China Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province College of Environment Zhejiang University of Technology Hangzhou310032 China Sichuan Provincial Sci-Tech Cooperation Base of Low-cost Wastewater Treatment Technology Department of Environmental Engineering Southwest University of Science and Technology Mianyang621010 China Chongqing Feiyang Measurement and Control Technology Research Institute Co. Ltd. Chongqing402760 China

Designing high-performance heterostructure catalysts for peroxymonosulfate (PMS) activation is a promising research area. In this study, we employed a self-templating strategy using Prussian blue analogs (PBAs) precursors as source design to fabricate CoFe/C heterostructure catalysts. The slow-speed coordination renders the CoFe PBAs precursor with highly ordered crystal structure and less coordinated water, resulting in an idea carbon-encapsulated CoFe bimetallic catalyst (CoFe-S-T) with more high-valance metals and graphitized carbon layer in its heterostructure, which is proved of superior catalytic performance for tetracycline (TC) degradation through nonradical pathway in PMS-driven oxidation. The higher CoIII/CoII ratio and surface oxygen content make CoFe-S-T an excellent catalyst by boosting 1O2 generation, which is the predominant active species. Besides, CoFe-S-T has a high proportion of graphitized carbon layer, which significantly improves the direct electron transfer pathway. Thus, utilizing precursor design in self-templating strategy is an effective method to synthesize high-performance heterostructure for PMS-driven organic pollutant degradation. © 2022, The Authors. All rights reserved.

关键词： Catalysts

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High-efficiency and high-power single-frequency fiber laser at 1.6μm based on cascaded energy-transfer pumping

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Photonics research 2020年第3期8卷 414-420页

作者： XIANCHAO GUAN QILAI ZHAO WEI LIN TIANYI TAN CHANGSHENG YANG PENGFEI MA ZHONGMIN YANG SHANHUI XU School of Physics and Optoelectronics South China University of TechnologyGuangzhou 510640China State Key Laboratory of Luminescent Materials and Devices and Institute of Optical Communication Materials South China University of TechnologyGuangzhou 510640China Guangdong Engineering Technology Research and Development Center of High-performance Fiber Laser Techniques and Equipment Zhuhai 519031China Hengqin Firay Sci-Tech Company Ltd. Zhuhai 519031China Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied Techniques South China University of TechnologyGuangzhou 510640China Guangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and Devices Guangzhou 510640China

In this paper,a technique combining the cascaded energy-transfer pumping(CEP)method and master-oscillator power-amplifier(MOPA)configuration is proposed for power scaling of 1.6-μm-band single-frequency fiber lasers(SFFLs),where the Er^(3+)ion has a limited *** CEP technique is fulfilled by coupling a primary signal light at 1.6μm and a C-band auxiliary *** numerical model of the fiber amplifier with the CEP technique reveals that the energy transfer process involves the pump competition and the in-band particle transition between the signal and auxiliary ***,for the signal emission,the population density in the upper level is enhanced,and the effective population inversion is achieved thanks to the CEP.A single-frequency MOPA laser at 1603 nm with an output power of 52.6 W and an improved slope efficiency of 30.4%is experimentally obtained through the CEP ***,a laser linewidth of 5.2 k Hz and a signal-to-auxiliary laser ratio of 60.7 d B are obtained at the maximum output *** proposed technique is anticipated to be promising for increasing the slope efficiency and power scaling for fiber lasers operating at L band.

关键词： fiber pumping power

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River diversions profoundly impact wetland sedimentation associated with vegetation succession in the Yellow River Delta

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Journal of Hydrology 2025年 661卷

作者： Yi’na Li Qing Wang Guogui Chen Bo Pang Dongxue Li Baoshan Cui Zhonghua Ning Tian Xie State Key Laboratory of Wetland Conservation and Restoration & School of Environment Beijing Normal University Beijing 100875 China Yellow River Estuary Wetland Ecosystem Observation and Research Station Ministry of Education Shandong China Research and Development Center for Watershed Environmental Eco-Engineering Advanced Institute of Natural Sciences Beijing Normal University Zhuhai 519087 China

Frequent river diversions can change the sedimentary characteristics of great river deltas. However, for some river diversions, the impact of water and sediment changes on sediment characteristics and vegetation replacement remain poorly understood. In this study, the Yellow River Delta (YRD), with frequent diversions, was used as the research area, and a core collection and analysis conducted. By examining composition, structure, and influencing factors on sporopollen patterns, changing vegetation patterns and associated characteristics in the YRD evolution process were revealed. YRD vegetation types had not changed over the past century. Gramineae, Chenopodiaceae , Artemisia , and Fabaceae were the main terrestrial herbs, with Polygonum , Typha , and Cyperaceae the main aquatic/wet vegetation. Vertical differences in sporopollen concentrations were related to frequent YRD diversion, and lateral differences were mainly affected by the depositional environment. Deposition depth and water travel time exerted significant positive effects of 0.87 and 0.80 on arbor sporopollen concentrations, respectively. Annual sediment load and runoff had positive and negative effects (1.81 and 2.21, respectively) on shrub sporopollen concentrations. The sporopollen concentration in terrestrial herbs was significantly affected by salinity, pH, and deposition depth. The concentration in aquatic/wet herbs was positively affected by the average annual sediment load, water travel time, deposition depth, clay content, and salinity (effect values of 3.27, 0.91, 0.77, 0.63, and 0.32, respectively). These results provide sediment records for the YRD, help reconstruct the paleoenvironment, and provide suitable ecological references for coastal wetland restoration.

关键词： River transition Sediment characteristics Sporopollen distribution Vegetation succession Yellow River Delta

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Search for Cosmic-Ray Boosted Sub-MeV Dark-Matter–Electron Scattering in PandaX-4T

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Physical Review Letters 2024年第10期133卷 101805页

作者： Xiaofeng Shang Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Lisheng Geng Karl Giboni Xuyuan Guo Chencheng Han Ke Han Changda He Jinrong He Di Huang Junting Huang Zhou Huang Ruquan Hou Yu Hou Xiangdong Ji Xiangpan Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shuaijie Li Tao Li Qing Lin Jianglai Liu Congcong Lu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yajun Mao Yue Meng Xuyang Ning Binyu Pang Ningchun Qi Zhicheng Qian Xiangxiang Ren Nasir Shaheed Xiyuan Shao Guofang Shen Manbin Shen Lin Si Wenliang Sun Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Xu Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Yuan Wu Mengjiao Xiao Xiang Xiao Kaizhi Xiong Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Ying Yuan Zhe Yuan Youhui Yun Xinning Zeng Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Wei Zhang Yang Zhang Yingxin Zhang Yuanyuan Zhang Li Zhao Jifang Zhou Ning Zhou Xiaopeng Zhou Yubo Zhou Zhizhen Zhou Shao-Feng Ge Chen Xia School of Physics and Astronomy New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province Liangshan 615000 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China School of Physics Sun Yat-Sen University Guangzhou 510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Department of Physics Yantai University Yantai 264005 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Beihang University Beijing 102206 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing 100191 China International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China School of Mechanical Engineering Department of Physics University of Maryland College Park Maryland 20742 USA School of Physics Nankai University Tianjin 300071 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Qingdao 266237 Shandong China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao 266237 Shandong China School of Physics Peking University Beijing 100871 China SJTU Paris Elite Institute of Technology School of Physic

We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV dark matter (DM) and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV DM particles can be accelerated by scattering with electrons in the cosmic rays and produce detectable electron recoil signals in the detector. Using the commissioning data from PandaX-4T of 0.63 tonne·year exposure, we set new constraints on DM-electron scattering cross sections for DM masses ranging from 10 eV/c2 to 3 keV/c2.

关键词： Dark matter Particle dark matter Dark matter detectors

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Estimating Aboveground Carbon Dynamic of China Using Optical and Microwave Remote-Sensing Datasets from 2013 to 2019

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 19-34页

作者： Zhongbing Chang Lei Fan Jean-Pierre Wigneron Ying-Ping Wang Philippe Ciais Jérôme Chave Rasmus Fensholt Jing MChen Wenping Yuan Weimin Ju Xin Li Fei Jiang Mousong Wu Xiuzhi Chen Yuanwei Qin Frédéric Frappart Xiaojun Li Mengjia Wang Xiangzhuo Liu Xuli Tang Sanaa Hobeichi Mengxiao Yu Mingguo Ma Jianguang Wen Qing Xiao Weiyu Shi Dexin Liu Junhua Yan Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhou 510650China University of Chinese Academy of Sciences Beijing 100049China Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station School of Geographical SciencesSouthwest UniversityChongqing 400715China INRAE UMR1391 ISPAUniversite de BordeauxF-33140 Villenave d’OrnonFrance CSIRO Oceans and Atmosphere AspendaleVIC 3195Australia Laboratoire des Sciences du Climat et de l’Environnement CEA/CNRS/UVSQ/Universite Paris SaclayGif-sur-YvetteFrance Laboratoire Evolution et Diversite Biologique Universite Paul SabatierToulouseFrance Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagenDenmark Department of Geography and Program in Planning University of TorontoTorontoON M5S 3G3Canada College of Geographical Science Fujian Normal UniversityFuzhou 3500007FujianChina School of Atmospheric Sciences Sun Yat-sen UniversityZhuhai 519082GuangdongChina Southern Marine Science and Engineering Guangdong Laboratory Zhuhai 519000GuangdongChina Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing 100101China Department of Microbiology and Plant Biology Center for Spatial AnalysisUniversity of OklahomaNormanOKUSA LEGOS Universite de ToulouseCNESCNRSIRDUPS-14 avenue Edouard Belin31400 ToulouseFrance State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Climate Change Research Centre University of N

Over the past 2 to 3 decades,Chinese forests are estimated to act as a large carbon sink,yet the magnitude and spatial patterns of this sink differ considerably among *** 3 microwave(L-and X-band vegetation optical depth[VOD])and 3 optical(normalized difference vegetation index,leaf area index,and tree cover)remote-sensing vegetation products,this study compared the estimated live woody aboveground biomass carbon(AGC)dynamics over China between 2013 and *** results showed that tree cover has the highest spatial consistency with 3 published AGC maps(mean correlation value R=0.84),followed by L-VOD(R=0.83),which outperform the other *** AGC estimation model was proposed to combine all indices to estimate the annual AGC dynamics in China during 2013 to *** performance of the AGC estimation model was good(root mean square error=0.05 Pg C and R^(2)=0.90 with a mean relative uncertainty of 9.8% at pixel scale[0.25°]).Results of the AGC estimation model showed that carbon uptake by the forests in China was about+0.17 Pg C year^(-1) from 2013 to *** the regional level,provinces in southwest China including Guizhou(+22.35 Tg C year^(-1)),Sichuan(+14.49 Tg C year^(-1)),and Hunan(+11.42 Tg C year^(-1))provinces had the highest carbon sink rates during 2013 to *** of the carbon-sink regions have been afforested recently,implying that afforestation and ecological engineering projects have been effective means for carbon sequestration in these regions.

关键词： estimation Remote microwave

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