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Seasonal variation of columnar aerosol optical properties in Yangtze River Delta,china

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Seasonal variation of columnar aerosol optical properties in...

强化科技基础推进气象现代化——第2.届中国气象学会年会

作者： YU Xingna 1,DEqingyangzong 2.1.key laboratory of {2. disaster of Ministry of Education,Department of Atmospheric Physics,nanjing university of information science and technology,nanjing 2.0044,china.2.{2. Bureau of Chayu County,Linzhi City,the Tibet Autonomous Region,Chayu 860600,china.

The effect of aerosols on the global climate change has drawn much attention in recent years due to considerable uncertain climate *** can influence the Earth’s radiative budget directly by scattering and absorbing solar radiation and indirectly by influencing cloud properties and *** aerosol optical properties(aerosol optical depth,particle size distribution and absorption properties etc.) are required in evaluating the radiative forcing of *** increasing urbanization and population lead to a significant increase in aerosol loading in *** Yangtze River Delta,is one of the metropolitan areas of china,experience high particulate matter pollution and poor visibility due to human *** order to understand seasonal variation of aerosol optical properties in Yangtze River Delta,5-year measurements were conducted during September 2.05 and December 2.09 at Taihu,*** monthly averages of aerosol optical depth were commonly larger than 0.6 with the maximum seasonal average 0.93 occurred in *** magnitude of ngstr m exponent was found to be high throughout the year with the highest values occurred in autumn(1.33) and the lowest in spring(1.08).Approximately 81% of aerosol optical depth ranged between 0.1 and 1.2.and nearly 80% of ngstr m exponent varied from 1.0 to 1.6 occurred in *** highest values of water vapor content occurred in summer(3.36 cm).The aerosol volume size distribution showed a bimodal logarithm normal structure: fine mode(radius 0.6 μm).The fine modes of volume size distribution showed the maxima peak at radius about 0.15 μm in spring,autumn and winter,and radius about 0.2. μm in *** coarse modes showed the maxima peak at radius 2.9 μm in spring,summer and autumn,and 3.8 μm in *** volume concentration of fine and coarse modes showed clear positive dependence on aerosol optical depth.

关键词： aerosol optical properties Yangtze River Delta AERONET

Surface Water Resources' Response to Climate Changes in Jilin Province

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meteorological and Environmental Research 2011年第7期2卷 53-56,65页

作者： CAI Zhe1,2.TAN Gui-rong2.SUN Li3,QU Jing-hua3 1.Jinan meteorological Bureau,Jinan 2.0002.china 2.{2. laboratory of meteorological disaster of Ministry of Education,nanjing university of information science & Engineering,nanjing 2.0044,china 3.Jilin meteorological Scientific Research Institute,Changchun 130062.china

[Objective] The response of surface water resources on climate changes was studied.[Method] By dint of monthly average temperature and precipitation in 45 meteorological stations in Jilin Province from 1960 to 2.00,monthly runoff in 56 hydrological stations in Songhuajiang and Liaohe region,the surface runoff change and the response of surface water resources to climate change in 41 years were expounded.[Result] The runoff of Songliao region was limited during 1960s and *** began to increase slowly in the early *** 1990s,there were distinct fluctuation of annual runoff and it was decreasing in *** analysis suggested that the runoff of Songliao region was decreasing gradually from south to the *** central gradient was small and runoff was evenly *** test result showed that the annual runoff in Songliao region had large fluctuation before 1980s and after *** response of surface runoff on climate and precipitation changes in Jilin Province was distinct and had strong relevance as well as certain *** on the analysis of the relation of rivers runoff and meteorological elements changes,statistics forecast model between river surface runoff and meteorological elements was *** prediction value and measured value had good *** corresponding river surface runoff changes can be assessed based on the changes of meteorological elements.[Conclusion] The study provided theoretical basis for the development and utilization of surface water resources in Jilin.

关键词： Surface water resources Climate changes Response Jilin china

Monsoonal Influence on Typhoon Morakot （2.09）. Part Ⅱ: Numerical Study

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Monsoonal Influence on Typhoon Morakot （2009）. Part Ⅱ: Nu...

第2.届中国气象学会年会

作者： Jia Liang * Liguang Wu Xuyang Ge # and Chun-Chieh Wu @key laboratory of {2. disaster of Ministry of Education china nanjing university of information science and technology nanjing china # International Pacific Research Center SOEST university of Hawaii USA @ Department of Atmospheric sciences National Taiwan university Taipei Taiwan

As the second part of this study,numerical experiments are conducted to investigate the influences of multi-time scale monsoonal flows on the track change of Typhoon Morakot（2.09）.While the control simulation captures the slowing and northward deflections in the vicinity of the Taiwan Island,the highly asymmetric rainfall structure,and the associated rainfall pattern,sensitivity experiments suggest that the westward movement prior to the landfall on Taiwan and the subsequent northward shifts in the vicinity of Taiwan were closely associated with the interaction between Morakot and multi-time scale monsoonal *** to the landfall on Taiwan,Morakot moved westward directly towards Taiwan due to a synoptic wavetrain-like pattern,which consisted of Goni over china’s mainland,Morakot,and a cyclone over the western North Pacific with an anticyclone to the west of *** simulation suggests that strong northerly winds between Morakot and the anticyclone reduced the northward steering component associated with the low-frequency flow prior to the *** experiments confirm that the northward track shifts that occurred in the vicinity of the Taiwan Island were a result of the coalescences of Morakot with a Quasi-Biweekly Oscillation（QBW）-scale gyre prior to the landfall on Taiwan and a Madden-Julia Oscillation（MJO）-scale gyre in the Taiwan *** simulation of Morakot and the associated sensitivity experiments agree with the previous barotropic study that the interaction between tropical cyclones and low-frequency monsoon gyres can cause sudden changes in tropical cyclone tracks.

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A primarily study on size distribution of polycyclic aromatic hydrocarbons （PAHs） in atmospheric aerosol during foggy days in the suburban area of nanjing

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A primarily study on size distribution of polycyclic aromati...

第五届海峡两岸气溶胶技术研讨会

作者： HUANG Hongli~(a,c) FAN Shu-xian~(a,b) TANG Lili~c YANG Xuezhen~c LI Hongshuang~c (a jiangsu key laboratory of meteorological disaster(nanjing university of information science and technology) nanjing 2.0044,P.R.china )(b LAPC,Institute of Atmospheric Physics,Chinese Academy of sciences,Beijing 100029,china )(c College of Environmental science and Engineering,nanjing university of information science and technology,nanjing 2.0044,china)

＜正＞The purpoea of this study was to characterize size distributions of 16 polycyclic aromatic hydrocarbons （PA Hs） in the suburban area of nanjing in foggy days Size distribution aerosol samples collected in foggy and fine days have been analyzed by gas chromatography with mass selective detection （GC-MS）.The content of inhalable partides could be reduced by fog,especially at the particle diameter larger than 4.7um could be wiped off *** are two peeks at size diameter 0.65-1.1 and 3.3-4.7um in foggy days,indicating that size distributions of PM were both bi-modal with a peek in the fine partide size and the other peek in the coarsa particle *** nighttime of both sampling weather,PAHs were predominated in fine particles（Dp＜2.1 um）.On the other hand,Fog reduced the concentration of PAHs in coarse particles（Dp＞2.1 um） in nighttime.

关键词： Fog Atmospheric aerosol PAHs Size distribution

Preliminary numerical study of a mud rain event over East Asia

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Preliminary numerical study of a mud rain event over East As...

第三届国际沙尘暴与降尘天气专题学术研讨会

作者： Niu Shengjie, Fan Shuxian and Sun Zhaobo key laboratory of {2. disaster & Environment Change(KLME) jiangsu Province nanjing university of information science & technology, nanjing 2.0044 P.R.china Wang Zifa Institute of Atmospheric Physics, Academia Sinica, Beijing 10002., P.R.china

A severe mud rain event was recorded on April 15-16, 1998 over Beijing, resulting in a layer of mud mixed with dirty pollutants in its urban area. It was estimated at 2.million US dollars to clear the dirt. That event was extremely severe in that decade, covering an extensive area, lasting for a prolonged time, and carrying with it a considerable amount of sands to the Pacific and even North America, as displayed on satellite images. The 3D regional Eulerian long-distance transfer model coupled with the model for east-Asian yellow-sands raising is used to simulate the intense event of mud rain in Beijing and its vicinity in April of 1998, with 9-category scales and their microphysics included therein. The needed meteorological conditions are furnished by the MM5. Evidence suggests that the Eulerian model combined with the east Asian model allows to forecast the concentration and scale spectrum of sands during their lifting, diffusing and clearing, leading to observations in close agreement with simulations;the transfer is seen both close to ground and at the middle troposphere;the long-distance transport and light rain act as the cause of mud rain;the mud rain in north china results from cloud physics and rain mixed with sands (especially2.m in diameter) from the Loess Tableland.

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Influence of Climatic Change on Rice Production in Anqing Zone

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meteorological and Environmental Research 2011年第7期2卷 50-52页

作者： ZOU Shi-jiang1,2.HU Ji-chao1,ZHANG Dou-sheng2.JIANG Xiao-wu3 1.Department of Applied meteorological science,{2. university of information science and technology,{2. 2.0044,china 2.Zongyang meteorological Bureau in Anhui Province,Zongyang 2.6701,china 3.Dingyuan meteorological Bureau in Anhui Province,Dingyuan 2.32.0,china

[Objective] The research aimed to study the influence of climatic variation on rice production in Anqing zone.[Method] Based on temperature and precipitation data in rice growth period (May-November) during 1980-2.09,by using five-year sliding average method,the moving average charts of temperature and rainfall were *** variation characteristics of main factors (temperature and precipitation) which affected rice growth were *** using line moving average simulation method,the climatic yield was separated,and the influence of climatic factor on rice yield in Anqing zone was analyzed.[Result] In recent 30 years,the temperature presented rise trend in rice growth period in Anqing *** from 1993,the rise was *** the rainfall had decline trend,and the rainfall was stable after *** were the climatic background for that rice yield had a wave of quick increase after *** from the separated results of trend yield and meteorological yield,the variation range of relative meteorological yield was big,and the maximum yield reduction reached 2..5%.In recent 30 years,there were four yield reduction *** relationship between meteorological yield of rice and temperature was positive correlation except in *** excessive rainfall in the rice harvest period had unfavorable influence on rice *** drought was the main meteorological agricultural disaster which affected rice yield in the zone.[Conclusion] The research provided the theoretical basis for improving grain yield in Anqing zone.

关键词： Climatic variation Rice production Influence analysis Anqing zone china

Spatial patterns of ecosystem carbon residence time in Chinese forests

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中国科学：地球科学英文版 2010年第8期53卷 1229-1240页

作者： ZHOU Tao1,2. SHI PeiJun1,2. JIA GenSuo3, LI XiuJuan1,2.& LUO YiQi4 1 State key laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal {2., Beijing 100875, china 2.Academy of disaster Reduction and Emergency Management, Ministry of Civil Affairs & Ministry of Education, Beijing 100875, china 3 key laboratory of Regional Climate-Environment Research for Temperate East Asia, Chinese Academy of sciences, Beijing 10002., china 4 Department of Botany and Microbiology, {2. of Oklahoma, Norman, OK 73019, USA 1. State key laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing 100875 China2. Academy of Disaster Reduction and Emergency Management Ministry of Civil Affairs & Ministry of Education Beijing 100875 China3. Key Laboratory of Regional Climate-Environment Research for Temperate East Asia Chinese Academy of Sciences Beijing 100029 China4. Department of Botany and Microbiology University of Oklahoma Norman OK 73019 USA

Capacity of carbon sequestration in forest ecosystem largely depends on the trend of net primary production (NPP) and the length of ecosystem carbon residence time. Retrieving spatial patterns of ecosystem carbon residence time is important and necessary for accurately predicting regional carbon cycles in the future. In this study, a data-model fusion method that combined a process-based regional carbon model (TECO-R) with various ground-based ecosystem observations (NPP, biomass, and soil organic carbon) and auxiliary data sets (NDVI, meteorological data, and maps of vegetation and soil texture) was applied to estimate spatial patterns of ecosystem carbon residence time in Chinese forests at steady state. In the data-model fusion, the genetic algorithm was used to estimate the optimal model parameters related with the ecosystem carbon residence time by minimizing total deviation between modeled and observed values. The results indicated that data-model fusion technology could effectively retrieve model parameters and simulate carbon cycling processes for Chinese forest ecosystems. The estimated carbon residence times were highly heterogenous over{2., with most of regions having values between 2. and 70 years. The deciduous needleleaf forest and the evergreen needleleaf forest had the highest averaged carbon residence times (73.8 and 71.3 years, respectively), the mixed forest and the deciduous broadleaf forest had moderate values (38.1 and 37.3 years, respectively), and the evergreen broadleaf forest had the lowest value (31.7 years). The averaged carbon residence time of forest ecosystems in{2. was 57.8 years.

关键词： carbon residence time carbon cycle forest ecosystem data-model fusion inverse modeling genetic algorithm

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Spatial character of the gaseous and particulate state compound correlation of urban atmospheric pollution in winter and summer

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science china Earth sciences 2005年第S2期48卷 64-79页

作者： XU Xiangde, SHI Xiaohui, XIE Lian, DING Guoan, MIAO Qiuju, MA Jianzhong & ZHENG Xiangdong State key laboratory of Severe Weather, Chinese Academy of {2. sciences, Beijing 100081, china nanjing university of information science and technology, nanjing 2.0044, china Department of Marine, Earth and Atmospheric sciences, North Carolina State university, Raleigh, NC2.695-82.8, USA National Climate Center, china {2. Administration, Beijing 100081, china State key laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China State key laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China nanjing university of {2. science and technology Nanjing 210044 China Department of Marine Earth and Atmospheric Sciences North Carolina State University Raleigh NC27695-8208 USA National Climate Center China Meteorological Administration Beijing 100081 China

The spatial/temporal variation information of atmospheric dynamic-chemical processes at observation site points of the "canopy" boundary of Beijing urban building ensemble and over urban area "surface", as well as the seasonal correlation structure of the gaseous and par-ticulate states of urban atmospheric pollution (UAP) and its seasonal conversion feature at observation points are investigated, using the comprehensive observation data of the Beijing City Air Pollution Observation Experiment (BECAPEX) in winter and summer 2.03 with a "point-surface" combined research approach. By using "one dimension spatial empirical orthogonal function (EOF)" principal component analysis (PCA) mode, the seasonal change of gaseous and particulate states of atmospheric aerosols and the association feature of pollutant species under the background of the complicated structure of urban boundary layer (UBL) are analyzed. The comprehensive analyses of the principal components of particle concentrations, gaseous pollutant species, and meteorological conditions reveal the seasonal changes of the complex constituent and structure features of the gaseous and particulate states of UAP to further trace the impact feature of urban aerosol pollution surface sources and the seasonal difference of the component structure of UAP. Research results suggest that in the temporal evolution of the gaseous and particulate states of winter/summer UAP, NOx, CO, and SO2.showed an "in-phase" evolution feature, however, O3 showed an "inverse-phase" relation with other species, all possessing distinctive dependent feature. On the whole, summer concentrations of gaseous pollutants CO, SO2. and NOx were obviously lower than winter ones, especially, the reduction in CO concentration was most distinctive, and ones in SO2.and NOx were next. However, the summer O3 concentration was more than twice winter one. Winter/summer differences in PM10 and PM2.5 particle concentrations were relatively not obvious, which ind

关键词： aerosol correlation structure principal component analysis.

Study of statistically correcting model CMAQ-MOS for forecasting regional air quality

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science china Earth sciences 2005年第S2期48卷 155-172页

作者： XU Jianming, XU Xiangde, LIU Yu, DING Guoan, CHEN Huailiang, HU Jiangkai, ZHANG Jianchun, WU Hao, LI Weiliang, HE Jinhai, YANG Yuanqin & WANG Jiahe nanjing university of {2. science & technology, nanjing 2.0044, china State key laboratory of Severe Weather, Chinese Academy of meteorological sciences, Beijing 100081, china meteorological Bureau of Henan Province, Institute of meteorological sciences, Zhengzhou 450000, china National meteorological Centre of china meteorological Administration, Beijing 100081, china National meteorological {2. Centre of china meteorological Administration, Beijing 100081, china nanjing university of {2. science & technology Nanjing 210044 China State key laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China meteorological Bureau of Henan Province Institute of Meteorological Sciences Zhengzhou 450000 China National meteorological Centre of china meteorological Administration Beijing 100081 China National meteorological information Centre of{2. meteorological Administration Beijing 100081 China

Based on analysis of the air pollution observational data at 8 observation sites in Beijing including outer suburbs during the period from September 2.04 to March 2.05, this paper reveals synchronal and in-phase characteristics in the spatial and temporal variation of air pollutants on a city-proper scale at deferent sites; describes seasonal differences of the pollutant emission influence between the heating and non-heating periods, also significantly local differences of the pollutant emission influence between the urban district and outer suburbs, i.e. the spatial and temporal distribution of air pollutant is closely related with that of the pollutant emission intensity. This study shows that due to complexity of the spatial and temporal distribution of pollution emission sources, the new generation Community Multi-scale Air Quality (CMAQ) model developed by the EPA of USA produced forecasts, as other models did, with a systematic error of significantly lower than observations, albeit the model has better capability than previous models had in predicting the spatial distribution and variation tendency of multi-sort pollutants. The reason might be that the CMAQ adopts average amount of pollutant emission inventory, so that the model is difficult to objectively and finely describe the distribution and variation of pollution emission sources intensity on different spatial and temporal scales in the areas, in which the pollution is to be forecast. In order to correct the systematic prediction error resulting from the average pollutant emission inventory in CMAQ, this study proposes a new way of combining dynamics and statistics and establishes a statistically correcting model CMAQ-MOS for forecasts of regional air quality by utilizing the relationship of CMAQ outputs with corresponding observations, and tests the forecast capability. The investigation of experiments presents that CMAQ-MOS reduces the systematic errors of CMAQ because of the uncertainty of pollution e

关键词： CMAQ-MOS point-area combination emission source influence emission inventory air quality.