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| 1 | Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality显示文摘Enhancing the terrestrial ecosystem carbon sink(referred to as terrestrial C sink) is an important way to slow down the continuous increase in atmospheric carbon dioxide(CO_(2)) concentration and to achieve carbon neutrality target.To better understand the characteristics of terrestrial C sinks and their contribution to carbon neutrality,this review summarizes major progress in terrestrial C budget researches during the past decades,clarifies spatial patterns and drivers of terrestrial C sources and sinks in China and around the world,and examines the role of terrestrial C sinks in achieving carbon neutrality target.According to recent studies,the global terrestrial C sink has been increasing from a source of (-0.2±0.9) Pg C yr^(-1)(1 Pg=1015g)in the 1960s to a sink of (1.9±1.1) Pg C yr^(-1) in the 2010s.By synthesizing the published data,we estimate terrestrial C sink of 0.20–0.25 Pg C yr^(-1) in China during the past decades,and predict it to be 0.15–0.52 Pg C yr^(-1) by 2060.The terrestrial C sinks are mainly located in the mid-and high latitudes of the Northern Hemisphere,while tropical regions act as a weak C sink or source.The C balance differs much among ecosystem types:forest is the major C sink;shrubland,wetland and farmland soil act as C sinks;and whether the grassland functions as C sink or source remains unclear.Desert might be a C sink,but the magnitude and the associated mechanisms are still controversial.Elevated atmospheric CO_(2) concentration,nitrogen deposition,climate change,and land cover change are the main drivers of terrestrial C sinks,while other factors such as fires and aerosols would also affect ecosystem C balance.The driving factors of terrestrial C sink differ among regions.Elevated CO_(2) concentration and climate change are major drivers of the C sinks in North America and Europe,while afforestation and ecological restoration are additionally important forcing factors of terrestrial C sinks in China.For future studies,we recommend the necessity for intensive and long-term ecosystem C monitoring over broad geographic scale to improve terrestrial biosphere models for accurately evaluating terrestrial C budget and its dynamics under various climate change and policy scenarios. | Yuanhe Yang Yue Shi Wenjuan Sun Jinfeng Chang Jianxiao Zhu Leiyi Chen Xin Wang Yanpei Guo Hongtu Zhang Lingfei Yu Shuqing Zhao Kang Xu Jiangling Zhu Haihua Shen Yuanyuan Wang Yunfeng Peng Xia Zhao Xiangping Wang Huifeng Hu Shiping Chen Mei Huang Xuefa Wen Shaopeng Wang Biao Zhu Shuli Niu Zhiyao Tang Lingli Liu Jingyun Fang | 2022 | Science China(Life Sciences)2022，65，5： | 32 |
| 2 | SF_(6)decomposition and insulation condition monitoring of GIE:A review显示文摘The statistics of the Conference International des Grands Reseaux Electriques(CIGRE)indicate that the operational reliability of SF6 gas‐insulated equipment(GIE)is very high;however,the failure rate of the GIE in operation is much higher than that of the IEC standard,and the fault occurs frequently in the GIE at a high voltage level.The reason is due to the complex and strong on‐site electromagnetic interference environment and fully enclosed structure of GIE.The key method and technology for effective on‐line monitoring and fault diagnosis of GIE are still lacking.Given the partial strong electromagnetic energy and high temperature induced by early latent insulation faults in the equipment,SF6 gas insulation presents different degrees of decomposition.The decomposition products mainly include SO_(2)F_(2),SOF_(2),SO_(2),HF,and H2S.The decomposition characteristics of SF6 are closely related to the property of insulation faults.At present,this area is attracting attention from the power industry and research institutes.This study summarises the current research on SF_(6)decomposition component analysis(DCA).The content mainly includes the latest progress of SF_(6)decomposition characteristics and mechanism under fault conditions,and fault diagnosis methods based on decomposition components. | Fuping Zeng Haotian Li Hongtu Cheng Ju Tang Yilu Liu | 2021 | High Voltage2021，6，6： | 3 |
| 3 | Model selection criteria for missing-data problems using the EM algorithm显示文摘 | Ibrahim J G Zhu Hongtu Tang Niansheng | 2008 | J Am Stat Assoc December2008，103，484： | 1 |
| 4 | SF_(6) decomposition behaviour under partial discharge of typical insulation defects in gas-solid insulated valve-side bushing of converter transformer显示文摘In this paper we investigated SF_(6) decomposition behaviour of typical insulation defects in gas-solid insulated converter transformer valve-side bushing under partial discharge(PD).Additionally,we compared the results with that of gas insulated switchgear(GIS).The results indicated that SF_(6) decomposition behaviour varies with the insulation defects type.For metal protrusion defects,the proportion ranking of CO_(2) and SO_(2) can be related to whether the needle tip is wrapped with epoxy resin-impregnated paper(ERIP).The proportion of carbon-containing products is much higher under contamination defect than under other defects.Moreover,the proportion of carbon-containing components is higher under flashover condition than under PD condition and is accompanied by the appearance of H2S and CS_(2).However,the yield of SO_(2)F_(2) is always low.Compared to negative DC voltages,positive DC voltages have a higher proportion of carboncontaining components,mainly in the form of more CO_(2) and less SOF_(2).Compared to the PD decomposition behaviour of typical insulation defects in GIS,when PD involves ERIP,the proportion of carbon-containing products,especially CO_(2),is significant higher,while the proportion of sulphur containing products,especially SO_(2)F_(2),is lower. | Hongtu Cheng Fuping Zeng Bowen Tang Haotian Li Ju Tang Zujian Huang Xianzong Chao | 2023 | High Voltage2023，8，4： | 0 |
| 5 | Feature-based Quality Assessment of Middle Cerebral Artery Occlusion Using 18F-Fluorodeoxyglucose Positron Emission Tomography显示文摘In animal experiments,ischemic stroke is usually induced through middle cerebral artery occlusion(MCAO),and quality assessment of this procedure is crucial.However,an accurate assessment method based on 18F-fluorodeoxyglucose(FDG)positron emission tomography(PET)is still lacking.The difficulty lies in the inconsistent preprocessing pipeline,biased intensity normalization,or unclear spatiotemporal uptake of FDG.Here,we propose an image feature-based protocol to assess the quality of the procedure using a 3D scale-invariant feature transform and support vector machine.This feature-based protocol provides a convenient,accurate,and reliable tool to assess the quality of the MCAO procedure in FDG PET studies.Compared with existing approaches,the proposed protocol is fully quantitative,objective,automatic,and bypasses the intensity normalization step.An online interface was constructed to check images and obtain assessment results. | Wuxian He Hongtu Tang Jia Li Chenze Hou Xiaoyan Shen Chenrui Li Huafeng Liu Weichuan Yu | 2022 | Neuroscience Bulletin2022，38，9： | 0 |
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