The vertical distribution of single scattering albedos （SSAs） of Asian dust mixed with pollutants was derived using the multi-wavelength Raman lidar observation system at Gwangju （35.10°N,126.53°E）.Verti...The vertical distribution of single scattering albedos （SSAs） of Asian dust mixed with pollutants was derived using the multi-wavelength Raman lidar observation system at Gwangju （35.10°N,126.53°E）.Vertical profiles of both backscatter and extinction coefficients for dust and non-dust aerosols were extracted from a mixed Asian dust plume using the depolarization ratio from lidar observations.Vertical profiles of backscatter and extinction coefficients of non-dust particles were input into an inversion algorithm to retrieve the SSAs of non-dust aerosols.Atmospheric aerosol layers at different heights had different light-absorbing characteristics.The SSAs of non-dust particles at each height varied with aerosol type,which was either urban/industrial pollutants from China transported over long distances at high altitude,or regional/local pollutants from the Korean peninsula.Taking advantage of independent profiles of SSAs of non-dust particles,vertical profiles of SSAs of Asian dust mixed with pollutants were estimated for the first time,with a new approach suggested in this study using an empirical determination of the SSA of pure dust.The SSAs of the Asian dust-pollutants mixture within the planetary boundary layer （PBL） were in the range 0.88-0.91,while the values above the PBL were in the range 0.76-0.87,with a very low mean value of 0.76 ± 0.05.The total mixed dust plume SSAs in each aerosol layer were integrated over height for comparison with results from the Aerosol Robotics Network （AERONET） measurements.Values of SSA retrieved from lidar observations of 0.92 ± 0.01 were in good agreement with the results from AERONET measurements.展开更多
Land-use patterns can affect various nutrient cycles in stream ecosystems, but little information is available about the effects of urban development on denitrification processes at the watershed scale. In the present...Land-use patterns can affect various nutrient cycles in stream ecosystems, but little information is available about the effects of urban development on denitrification processes at the watershed scale. In the presented study, we investigated the controlling factors of denitrification rates within the streams of the Han River Basin, Korea, with different land-use patterns, in order to enhance the effectiveness of water resource management strategies. Ten watersheds were classified into three land-use patterns （forest, agriculture and urban） using satellite images and geographic information system techniques, and in-situ denitrification rates were determined using an acetylene blocking method. Additionally, sediment samples were collected from each stream to analyze denitrifier communities and abundance using molecular approaches. In-situ denitrification rates were found to be in the order of agricultural streams （289.6 mg N20-N m-2 d-1） 〉 urban streams （157.0 mg N20-N m-2 d-1） 〉 forested streams （41.9 mg N20-N m-2 d-l）. In contrast, the average quantity of denitrifying genes was the lowest in the urban streams. Genetic diversity of denitrifying genes was not affected by watershed land-use pattern, but exhibited stream-dependent pattern. More significance factors were involved in denitrification in the sites with higher denitrification rates. Multiple linear regression analysis revealed that clay, dissolved organic carbon and water contents were the main factors controlling denitrification rate in the agricultural streams, while dissolved organic carbon was the main controlling factor in the urban streams. In contrast, temperature appeared to be the main controlling factor in the forested streams.展开更多
series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies ...series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies involving Bhabha(e^(+)e^(-)→e^(+)e^(-)(ny),digamma(e^(+)e^(-)→γγ(nγ),and dimuon(e^(+)e^(-)→μ^(+)μ^(-)(nγ)events.The total integrated luminosity obtained with Bhabha,digamma,and dimuon events is(426.88±0.03±2.61)fb^(-1),(429.28±0.03±2.62)fb^(-1),and(423.99±0.04±3.83)fb^(-1),where the first uncertainties are statistical and the second are systematic.The resulting total integrated luminosity obtained from the combination of the three methods is(427.87±2.01)fb^(-1).展开更多
基金funded by the Korea Meteorological Administration Research and Development Program (Grant No.CATER 2012-7080)a National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (Grant No.2012R1A1A2002983)the Global Ph.D. Fellowship program sponsored by the National Research Foundation of Korea
文摘The vertical distribution of single scattering albedos （SSAs） of Asian dust mixed with pollutants was derived using the multi-wavelength Raman lidar observation system at Gwangju （35.10°N,126.53°E）.Vertical profiles of both backscatter and extinction coefficients for dust and non-dust aerosols were extracted from a mixed Asian dust plume using the depolarization ratio from lidar observations.Vertical profiles of backscatter and extinction coefficients of non-dust particles were input into an inversion algorithm to retrieve the SSAs of non-dust aerosols.Atmospheric aerosol layers at different heights had different light-absorbing characteristics.The SSAs of non-dust particles at each height varied with aerosol type,which was either urban/industrial pollutants from China transported over long distances at high altitude,or regional/local pollutants from the Korean peninsula.Taking advantage of independent profiles of SSAs of non-dust particles,vertical profiles of SSAs of Asian dust mixed with pollutants were estimated for the first time,with a new approach suggested in this study using an empirical determination of the SSA of pure dust.The SSAs of the Asian dust-pollutants mixture within the planetary boundary layer （PBL） were in the range 0.88-0.91,while the values above the PBL were in the range 0.76-0.87,with a very low mean value of 0.76 ± 0.05.The total mixed dust plume SSAs in each aerosol layer were integrated over height for comparison with results from the Aerosol Robotics Network （AERONET） measurements.Values of SSA retrieved from lidar observations of 0.92 ± 0.01 were in good agreement with the results from AERONET measurements.
基金Supported by the National Research Foundation of Korea(No.2013056833)
文摘Land-use patterns can affect various nutrient cycles in stream ecosystems, but little information is available about the effects of urban development on denitrification processes at the watershed scale. In the presented study, we investigated the controlling factors of denitrification rates within the streams of the Han River Basin, Korea, with different land-use patterns, in order to enhance the effectiveness of water resource management strategies. Ten watersheds were classified into three land-use patterns （forest, agriculture and urban） using satellite images and geographic information system techniques, and in-situ denitrification rates were determined using an acetylene blocking method. Additionally, sediment samples were collected from each stream to analyze denitrifier communities and abundance using molecular approaches. In-situ denitrification rates were found to be in the order of agricultural streams （289.6 mg N20-N m-2 d-1） 〉 urban streams （157.0 mg N20-N m-2 d-1） 〉 forested streams （41.9 mg N20-N m-2 d-l）. In contrast, the average quantity of denitrifying genes was the lowest in the urban streams. Genetic diversity of denitrifying genes was not affected by watershed land-use pattern, but exhibited stream-dependent pattern. More significance factors were involved in denitrification in the sites with higher denitrification rates. Multiple linear regression analysis revealed that clay, dissolved organic carbon and water contents were the main factors controlling denitrification rate in the agricultural streams, while dissolved organic carbon was the main controlling factor in the urban streams. In contrast, temperature appeared to be the main controlling factor in the forested streams.
基金supported by Higher Education and Science Committee of the Republic of Armenia(23LCG-1C011)Australian Research Council and Research(DP200101792,DP210101900,DP210102831,DE220100462,LE210100098,LE230100085)+41 种基金Austrian Federal Ministry of Education,Science and Research,Austrian Science Fund(P 34529,J 4731,J 4625,M 3153)Horizon 2020 ERC Starting(947006)“InterLeptons”Natural Sciences and Engineering Research Council of Canada,Compute Canada and CANARIENational Key R&D Program of China(2022YFA1601903)National Natural Science Foundation of China(11575017,11761141009,11705209,11975076,12135005,12150004,12161141008,12175041)Natural Science Foundation Project of Shandong Province,China(ZR2022JQ02)the Czech Science Foundation(22-18469S)and Charles University Grant Agency(246122)European Research Council,Seventh Framework(PIEF-GA-2013-622527)Horizon 2020 ERC-Advanced(Grant Nos.267104 and 884719)Horizon 2020 ERC-Consolidator(819127)Horizon 2020 Marie Sklodowska-Curie Grant Agreement(700525)“NIOBE”and(101026516)Horizon 2020 Marie Sklodowska-Curie RISE project JENNIFER2 Grant Agreement(822070)(European grants)L'Institut National de Physique Nucléaire et de Physique des Particules(IN2P3)du CNRS and L'Agence Nationale de la Recherche(ANR)(ANR-21-CE31-0009)(France)BMBF,DFG,HGF,MPG,and AvH Foundation(Germany)Department of Atomic Energy under Project Identification(RTI 4002)Department of Science and Technology,and UPES SEED funding programs(UPES/R&D-SEED-INFRA/17052023/01,UPES/R&D-SOE/20062022/06)(India)Israel Science Foundation(2476/17)U.S.-Israel Binational Science Foundation(2016113)Israel Ministry of Science(3-16543)Istituto Nazionale di Fisica Nucleare and the Research Grants BELLE2Japan Society for the Promotion of Science,Grant-in-Aid for Scientific Research(16H03968,16H03993,16H06492,16K05323,17H01133,17H05405,18K03621,18H03710,18H05226,19H00682,20H05850,20H05858,22H00144,22K14056,22K21347,23H05433,26220706,26400255)the Ministry of Education,Culture,Sports,Science,and Technology(MEXT)of JapanNational Research Foundation(NRF)of Korea(2016R1D1A1B02012900,2018R1A2B3003643,2018R1A6A1A06024970,2019R1I1A3A01058933,2021R1A6A1A03043957,2021R1F1A1060423,2021R1F1A1064008,2022R1A2C1003993,RS-2022-00197659)Radiation Science Research Institute,Foreign Large-Size Research Facility Application Supporting project,the Global Science Experimental Data Hub Center of the Korea Institute of Science and Technology Information and KREONET/GLORIADUniversiti Malaya RU grant,Akademi Sains Malaysia,and Ministry of Education MalaysiaFrontiers of Science Program(FOINS-296,CB-221329,CB-236394,CB-254409,CB-180023)SEP-CINVESTAV Research(237)(Mexico)the Polish Ministry of Science and Higher Education and the National Science Centerthe Ministry of Science and Higher Education of the Russian Federation and the HSE University Basic Research Program,MoscowUniversity of Tabuk Research(S-0256-1438,S-0280-1439)(Saudi Arabia)Slovenian Research Agency and Research(J1-9124,P1-0135)Agencia Estatal de Investigacion,Spain(RYC2020-029875-I)Generalitat Valenciana,Spain(CIDEGENT/2018/020)The Knut and Alice Wallenberg Foundation(Sweden),(2021.0174,2021.0299)National Science and Technology Council,and Ministry of EducationThailand Center of Excellence in PhysicsTUBITAK ULAKBIM(Turkey)National Research Foundation of Ukraine,(2020.02/0257)Ministry of Education and Science of Ukrainethe U.S.National Science Foundation and Research(PHY-1913789,PHY-2111604)the U.S.Department of Energy and Research Awards(DE-AC06-76RLO1830,DE-SC0007983,DESC0009824,DE-SC0009973,DE-SC0010007,DE-SC0010073,DE-SC0010118,DE-SC0010504,DE-SC0011784,DE-SC0012704,DE-SC0019230,DESC0021274,DE-SC0021616,DE-SC0022350,DE-SC0023470)the Vietnam Academy of Science and Technology(VAST)(NVCC.05.12/22-23,DL0000.02/24-25)。
文摘series of data samples was collected with the Belle Ⅱ detector at the SuperKEKB collider from March 2019 to June 2022.We determine the integrated luminosities of these data samples using three distinct methodologies involving Bhabha(e^(+)e^(-)→e^(+)e^(-)(ny),digamma(e^(+)e^(-)→γγ(nγ),and dimuon(e^(+)e^(-)→μ^(+)μ^(-)(nγ)events.The total integrated luminosity obtained with Bhabha,digamma,and dimuon events is(426.88±0.03±2.61)fb^(-1),(429.28±0.03±2.62)fb^(-1),and(423.99±0.04±3.83)fb^(-1),where the first uncertainties are statistical and the second are systematic.The resulting total integrated luminosity obtained from the combination of the three methods is(427.87±2.01)fb^(-1).
