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A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

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Research in Astronomy and Astrophysics 2024年第10期24卷 25-35页

作者： Yi Zhao wangchen Xue Shaolin Xiong Qi Luo Yuanhao wang jiacong Liu Heng Yu Xiaoyun Zhao Yue Huang Jinyuan Liao jianchao Sun Xiaobo Li Qibin Yi Ce Cai Shuo Xiao Shenglun Xie Chao Zheng Yanqiu zhang Chenwei wang Wenjun Tan Zhiwei Guo Chaoyang Li Zhenghua An Gang Chen Yanqi Du Min Gao Ke Gong Dongya Guo jiang He jianjian He Bing Li Gang Li Xinqiao Li Jing Liang Xiaohua Liang Yaqing Liu Xiang Ma Rui Qiao Liming Song Xinying Song Xilei Sun Jin wang Ping wang Xiangyang Wen Hong wu Yanbing Xu Sheng Yang Dali zhang Fan zhang Hongmei zhang Peng zhang Shu zhang Zhen zhang Shijie Zheng Keke zhang Xingbo Han Haiyan wu Hu Tai Hao Geng Gaopeng Lu Wei Xu Fanchao Lyu Hongbo zhang Fangjun Lu Shuangnan zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of chinese {1. of sciences Beijing 100049China School of Physics and Optoelectronics Xiangtan UniversityXiangtan 411105China College of Physics Hebei Normal UniversityShijiazhuang 050024China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang 550001China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China Institute of Astrophysics Central China Normal UniversityWuhan 430079China College of physics sciences Technology Hebei UniversityBaoding 071002China Physics and Space Science College China West Normal UniversityNanchong 637002China School of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China College of Electronic and information Engineering Tongji UniversityShanghai 201804China Innovation academy for Microsatellites of {1. academy of sciences Shanghai 201304China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Electronic Information School Wuhan UniversityWuhan 430072China Key Laboratory of Transportation Meteorology of china {1. Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210000China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up *** based on the relative counts of different detectors has been widely used for all-sky gamma-ray *** are two major methods for this count distribution localization:χ^(2)minimization method and the Bayesian *** we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ^(2)*** comprehensive simulations,we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ^(2)method,especially for weak *** further proposed a location-spectrum iteration approach based on the Bayesian inference,which could alleviate the problems caused by the spectral difference between the burst and location *** method is very suitable for scenarios with limited computation resources or timesensitive applications,such as in-flight localization software,and low-latency localization for rapidly follow-up observations.

关键词： methods:data analysis methods:analytical (stars:)gamma-ray burst:general

高原深水湖泊抚仙湖溶解氧分层特征及驱动因素

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环境科学研究 2024年第5期37卷 1006-1014页

作者：张秀锦牛远吴亚丽王平段友爱余辉中国环境科学研究院湖泊生态环境研究所湖泊水污染治理与生态修复技术国家工程实验室北京100012 云南省生态环境监测中心云南昆明650034

深水湖泊特有的“表水层-温跃层-深水层”的热力学分层结构,决定了湖内溶解氧(DO)的垂直分布和混合交换,影响着湖内生态系统的健康.然而,目前对于深水湖泊耗氧与复氧过程及其驱动因素的研究还不够深入,尤其对高原深水湖泊的研究更为缺乏... 详细信息

深水湖泊特有的“表水层-温跃层-深水层”的热力学分层结构,决定了湖内溶解氧(DO)的垂直分布和混合交换,影响着湖内生态系统的健康.然而,目前对于深水湖泊耗氧与复氧过程及其驱动因素的研究还不够深入,尤其对高原深水湖泊的研究更为缺乏.为此,本研究于2021.1.-2022年2月进行了分层采样和逐月监测,探究了典型高原深水湖泊抚仙湖的溶解氧分层特征及驱动因素.结果表明:①抚仙湖热力学分层周期分为两期,即分层期和非分层期.分层期为3月下旬至1.月上旬,混合期为1.月下旬至3月上旬.②在湖泊热力学分层的驱动下,湖内DO垂直分层明显.表水层DO浓度年内变化范围为6.67~8.64 mg/L,而温跃层和深水层DO最低浓度分别可降至3.1.和1.26 mg/L.③抚仙湖不同水层DO浓度变化的驱动因素及效应占比不同.表水层DO受到水温、光合作用、大气复氧和气象条件的综合影响;温跃层DO主要受分层强度和浮游植物生命活动的影响;深水层DO主要受分层强度、有机质沉降分解、沉积物有机质分解的影响.研究显示,抚仙湖底层水体长期处于厌氧状态,由此带来的湖泊生境的改变以及底部营养盐释放的风险值得关注.

关键词：高原深水湖泊抚仙湖溶解氧(DO) 驱动因素混合模式富营养化

Recent Advances in Understanding Multi-scale Climate Variability of the Asian Monsoon

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Advances in Atmospheric sciences 2023年第8期40卷 1429-1456页

作者： Wen CHEN renhe {1. Renguang wu Zhiping WEN Liantong ZHOU Lin wang Peng HU Tianjiao MA Jinling PIAO Lei SONG Zhibiao wang Juncong LI Hainan GONG Jingliang HUANGFU Yong LIU Department of Atmospheric sciences Yunnan UniversityKunming 650500China Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Atmospheric and Oceanic sciences Fudan UniversityShanghai 200438China Department of Atmospheric sciences School of Earth SciencesZhejiang UniversityHangzhou 310058China

Studies of the multi-scale climate variability of the Asian monsoon are essential to an advanced understanding of the physical processes of the global climate *** this paper,the progress achieved in this field is systematically reviewed,with a focus on the past several *** achievements are summarized into the following topics:(1.the onset of the South china Sea summer monsoon;(2)the East Asian summer monsoon;(3)the East Asian winter monsoon;and(4)the Indian summer ***,new results are highlighted,including the advanced or delayed local monsoon onset tending to be synchronized over the Arabian Sea,Bay of Bengal,Indo{1. Peninsula,and South china Sea;the basic features of the record-breaking mei-yu in 2020,which have been extensively investigated with an emphasis on the role of multi-scale processes;the recovery of the East Asian winter monsoon intensity after the early 2000s in the presence of continuing greenhouse gas emissions,which is believed to have been dominated by internal climate variability(mostly the Arctic Oscillation);and the accelerated warming over South Asia,which exceeded the tropical Indian Ocean warming,is considered to be the main driver of the Indian summer monsoon rainfall recovery since 1.99.A brief summary is provided in the final section along with some further discussion on future research directions regarding our understanding of the Asian monsoon variability.

关键词： Asian monsoon multi-scale climate variability monsoon onset East Asian summer monsoon East Asian winter monsoon Indian summer monsoon

千岛湖水体稳定度和热分层结构对溶解氧垂向分布的影响

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生态科学 2024年第1期43卷 160-169页

作者：张如枫兰佳王裕成满小明吴松涛吴志旭李慧赟罗潋葱李加龙龚发露殷鑫星孙婷云南大学国际河流与生态安全研究院昆明650500 杭州市生态环境局淳安分局杭州311700 普天信息技术有限公司北京100086 浦江县气象局金华322200 中国科学院南京地理与湖泊研究所南京210008 云南大学生态与环境学院高原湖泊生态与治理研究院昆明650500

基于201.年1.—2020年2月千岛湖大坝前水质高频监测数据与湖心区气象数据,使用Lake Analyzer(LA)软件计算了水体稳定度指标(“施密特稳定度”和“浮力频率”)和热分层指标(“温跃层深度”和“温跃层厚度”),并与溶解氧垂向分布指标(“... 详细信息

基于201.年1.—2020年2月千岛湖大坝前水质高频监测数据与湖心区气象数据,使用Lake Analyzer(LA)软件计算了水体稳定度指标(“施密特稳定度”和“浮力频率”)和热分层指标(“温跃层深度”和“温跃层厚度”),并与溶解氧垂向分布指标(“氧跃层深度”和“氧跃层强度”)结合分析。结果表明千岛湖存在时间长且稳定的热力分层和溶解氧分层,分层期为每年4—1.月,根据结构变化可分为形成期(4—6月)、稳定期(7—9月)和减弱期(1.—1.月)三个阶段。水体稳定度指标、热分层指标和溶解氧垂向分布指标间相关分析结果表明:水体混合状态是影响溶解氧垂向分布的重要因素,湖体存在热分层则是氧跃层出现的根本原因,水体稳定度升高与热分层结构形成均阻碍溶解氧的垂向交换,促进氧跃层的形成。基于回归分析,发现温跃层深度与氧跃层深度具有良好的线性关系,拟合精度高(R^(2)=0.81.N=25),说明在千岛湖可通过温跃层深度推断氧跃层态势。研究结果同时证明LA在千岛湖的可适用性,以及在其它湖泊的可推广性,提供了水体稳定度和热分层指标定量化计算的工具。

关键词：水体稳定度热分层溶解氧氧跃层 Lake Analyzer 千岛湖

维普期刊数据库博看期刊

Impacts of aerosol chemical compositions on optical properties in urban beijing,{1.

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Particuology 2015年第1期13卷 155-164页

作者： Ping Tian Guangfu wang Ren{1.n zhang Yunfei wu Peng Yan Key Laboratory of Beam Technology and Materials Modification of the Ministry of Education College of Nuclear Science and TechnologyBeijing Normal University Collaborative Innovation Center on Forecast and Evaluation of meteorological Disasters Nanjing University of Information Science & Technology Key Laboratory of Regional Climate-Environment for East Asia Institute of Atmospheric PhysicsChinese Academy of Sciences Centre for Atmosphere Watch and Services Meteorological Observation Center of China Meteorological Administration

The optical properties of aerosols and their chemical composition, including water-soluble ions, organic carbon （OC）, and elemental carbon （EC） in PM2.5 and PM1., were measured from 26 May to 30 June of 201. at an urban site in beijing. The daily average concentrations of PM2.5 and PM1. were 1.3.2 and 1.9.6 μg/m^3, respectively. On average, the OC and EC contributed 20.1. and 4.3%, respectively, to PM2.5 and 1..3% and 3.9%, respectively, to PM1.. Secondary ions （SO4^2-, NO3-, and NH4^＋） dominated the water-soluble ions and accounted for 57.9% and 62.6% of PM2.5 and PM1., respectively. The wind dependence of PM2.5, OC, SO4^2-, and NO3 implied that the pollution sources mainly came from south and southeast of beijing during the summer. The monthly mean values of the scattering coefficient （σsc） and absorption coefficient （σab） at 525 nm were 31..9 and 28.7 Mm^-1. respectively, and the mean single-scattering albedo （ω） was 0.85. The wind dependence of σsc revealed that this value was mainly influenced by regional transport during the summer, and the relationship between aab and wind indicated that a high crab resulted from the joint effects of local emissions and regional transport. The reconstructed σsc that was derived from the revised IMPROVE equation agreed well with the observations. The contribution of different chemical species to crsc was investigated under different pollution levels, and it was found that secondary inorganic aerosols accounted for a large part of σsc during pollution episodes （35.7%）, while organic matter was the main contributor to σsc under clean conditions （33.6%）.

关键词： Urban aerosol PM2.5 Optical property Chemical composition

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黄河流域城市气候韧性评估及提升对策研究

国土资源科技管理 2024年第2期41卷 62-74页

作者：武占云孙劭张双悦王伟中国社会科学院生态文明研究所北京100710 中国气象科学研究院灾害天气国家重点实验室北京100053 天津商业大学经济学院天津300134 中央财经大学政府管理学院北京100081

增强气候韧性是黄河流域生态保护和高质量发展的应有之义。基于IPCC“灾害—暴露度—脆弱性”的气候风险框架和“工程韧性—生态韧性—演化韧性”的韧性理论框架,系统评估黄河流域气候韧性水平。结果表明:(1.黄河流域气候风险和城市韧... 详细信息

增强气候韧性是黄河流域生态保护和高质量发展的应有之义。基于IPCC“灾害—暴露度—脆弱性”的气候风险框架和“工程韧性—生态韧性—演化韧性”的韧性理论框架,系统评估黄河流域气候韧性水平。结果表明:(1.黄河流域气候风险和城市韧性水平具有明显的地域差异性,均呈现上游>中游>下游的空间特征;(2)黄河流域气候风险水平趋于上升,下游地区上升最为显著,是极端降雨和极端高温事件的高发区;(3)黄河流域城市类型以脆弱型和高风险城市为主,且不同城市类型在时间和空间维度发生明显跃迁和转变。为科学有效应对气候变化风险和挑战,应差异化实施气候应对策略,协同推进工程韧性、生态韧性、经济韧性和社会韧性,提升流域气候韧性和可持续发展能力。

关键词：黄河流域气候变化气候风险城市韧性

维普期刊数据库博看期刊

A New Index Developed for Fast Diagnosis of meteorological Roles in Ground-Level Ozone Variations

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Advances in Atmospheric sciences 2022年第3期39卷 403-414,558-563页

作者： Weihua CHEN Weiwen wang Shiguo {1. Jingying MAO Fenghua YAN Lianming ZHENG Yongkang wu Xingteng zhang Yutong DONG Lingbin KONG Buqing ZHONG Ming CHANG Min SHAO Xuemei wang Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Institute for Environmental and Climate ResearchJinan UniversityGuangzhou 510632China School of Atmospheric sciences Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesSun Yat-sen UniversityGuangzhou 510275China Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhou 510650China

china experienced worsening ground-level ozone(O_(2)) pollution from 201. to 201.. In this study, {1. parameters, including surface temperature(T_(2)), solar radiation(SW), and wind speed(WS), were classified into two aspects,(1. Photochemical Reaction Condition(PRC = T_(2)× SW) and(2) Physical Dispersion Capacity(PDC = WS). In this way, a Meteorology Synthetic Index(MSI = PRC/PDC) was developed for the quantification of meteorology-induced ground-level O_(2)pollution. The positive linear relationship between the 90 th percentile of MDA8(maximum daily 8-h average) O_(2)concentration and MSI determined that the contribution of {1. changes to ground-level O-3 varied on a latitudinal gradient, decreasing from ~40% in southern china to 1.%–20% in northern china. Favorable photochemical reaction conditions were more important for ground-level O_(2)pollution. This study proposes a universally applicable index for fast diagnosis of {1. roles in ground-level O_(2)variability, which enables the assessment of the observed effects of precursor emissions reductions that can be used for designing future control policies.

关键词： ground-level ozone meteorology synthetic index photochemical reaction condition physical dispersion capacity

Characteristics of black carbon aerosol in jiaxing,{1. during autumn 201.

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Particuology 2015年第3期13卷 10-15页

作者： Lijuan Shen Li Li Sheng Lu Xiaohan zhang Jie Liu Junlin An Guojun zhang Bo wu Fei wang jiaxing Environmental Monitoring Station Zhejiang Institute of {1. sciences Key Laboratory of meteorological Disaster of Ministry of Education Nanjing University of Information Science and Technology

We conducted measurements of black carbon （BC） aerosol in jiaxing,{1. during autumn from September 26 to November 30, 201.. We investigated temporal and diurnal variations of BC, and its cor relations with meteorological parameters and other major pollutants. Results showed that hourly mass concentrations of BC ranged from 0.2 to 22.0 μg/m3, with an average of 5.1.μg/ms. The diurnal variation of BC exhibited a bimodal distribution, with peaks at 07：00 and 1.：00. The morning peak was larger than the evening peak. The mass percentages of BC in PM2.s and PM1. were 7.1.and 4.8g, respectively. The absorption coefficient of BC was calculated to be 44.4 Mm-1. which accounted for 1..1. of the total aerosol extinction. BC was mainly emitted from local sources in southwestern jiaxing where BC concentrations were generally greater than 1.μg/m3 during the measurement period. Correlation analysis indicated that the main sources of BC were motor vehicle exhaust, and domestic and industrial combustion.

关键词： Black carbonDiurnal variationAbsorption coefficientCorrelation analysisjiaxing

A large-scale outdoor atmospheric simulation smog chamber for studying atmospheric photochemical processes:Characterization and preliminary application

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Journal of Environmental sciences 2021年第4期33卷 185-197页

作者： Junling Li Hong Li Xuezhong wang Weigang wang Maofa Ge Hao zhang Xin zhang Kun Li Yan Chen Zhenhai wu Fahe Chai Fan Meng Yujing Mu Abdelwahid Mellouki Fang Bi Yujie zhang Lingyan wu Yongchun Liu State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Key Laboratory of Atmospheric Chemistry China Meteorological AdministrationBeijing 100081China State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular Sciences(BNLMS)CAS Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing 100190China Laboratory of Atmospheric Chemistry Paul Scherrer Institute(PSI)5232 VilligenSwitzerland Research Centre for Eco-Environmental sciences Chinese Academy of SciencesBeijing 100085China Institut de Combustion Aérothermique Réactivitéet EnvironnementCentre National de la Recherche Scientifique(ICARE-CNRS)Observatoire des Sciences de l’Univers en région Centre(OSUC)CS 5006045071 cedex02 OrléansFrance beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China

Understanding the formation mechanisms of secondary air pollution is very important for the formulation of air pollution control countermeasures in ***,a large-scale outdoor atmospheric simulation smog chamber was constructed at chinese Research {1. of Environmental sciences(the CRAES Chamber),which was designed for simulating the atmospheric photochemical processes under the conditions close to the real atmospheric *** chamber consisted of a 56-m^(3) fluorinated ethylene propylene(FEP) Teflon film reactor,an electrically-driven stainless steel alloy shield,an auxiliary system,and multiple detection *** performing a series of characterization experiments,we obtained basic parameters of the CRAES chamber,such as the mixing ability,the background reactivity,and the wall loss rates of gaseous compounds(propene,NO,NO_(2),ozone) and aerosols(ammonium sulfate).Oxidation experiments were also performed to study the formation of ozone and secondary organic aerosol(SOA),including α-pinene ozonolysis,propene and 1.3,5-trimethylbenzene *** and seed effects on the vapor wall loss and SOA yields were obtained in this work:higher temperature and the presence of seed could reduce the vapor wall loss;SOA yield was found to depend inversely on temperature,and the presence of seed could increase SOA *** seed was suggested to be used in the chamber to reduce the interaction between the gas phase and chamber *** results above showed that the CRAES chamber was reliable and could meet the demands for investigating tropospheric chemistry.

关键词： Outdoor smog chamber Characterization experiments Photo-oxidation reactions Secondary organic aerosol