(Particulate Matter PM) (1) Keary [7] PM 2.5 ( 2.5 µm ) Galindo Tecer Vol.31, No JOURNAL OF TROPICAL METEOROLOGY Feb.

Transcription

1 3 Vol.3, No JOURNAL OF TROPICAL METEOROLOGY Feb., [J] (): : (205) , , 2, 2, 2. / μg/m μg/m / / 0 : :X53 :A Doi /j.issn (Particulate Matter ) [6] 2.5 ( 2.5 µm ) [] [2] Keary [7] () 0 Galindo [8] [3] [9] Tecer [4-5] : ; : (BE204734) baoyunxuan@63.com

2 min 24 h [0-2] (2) Hien [3] DF (FDMS) 2.5 Tecer [9] (TEOM) Wang [4] g/m 3 Zhao [5] g/m g/m 3 90% [6-2].67 l/min 3.0 l/min ±0.75% (NO) (NO 2 ) (SO 2 ) 污染物 2.5 和 0 O 3 SO 2 NO X CO 监测的污染物器型号在线气溶胶质量浓度检测仪 405-DF O 3 分析仪 EC980B SO 2 分析仪 EC9850B NO X 分析仪 EC984B CO 分析仪 EC9830B 生产公司 美国 Thermo 澳大利亚 ECOTECH 澳大利亚 ECOTECH 澳大利亚 ECOTECH 澳大利亚 ECOTECH (CO) 2.5 0

3 GB μg/m d 73 d 75 d 0 35 d d 09 d d 7 d T>35 22 d 9 d 6 d 8 [22] min d 9 d mm 78% mm h % μg/m μg/m μg/m % % % a 0 b

4 g/m % g/m g/m 3 () (2) API g/m g/m g/m g/m 3 03 g/m g/m mm 75% 2.68 m/s 22.3% 测站 苏州站 昆山站 太仓站 气溶胶 g/m 3 春季夏季秋季冬季 (b) 2.5 (a)

5 g/m g/m g/m () % 69.75% (2) 3 m m/s (3) (a) 0 (b) 008 hpa m) [23] (4) /(

6 (a) 0 (b) (c) (d) (e) (f) / [24] [25]

7 34 3 [25], : ( µm) 8% UV( ) SO 2 4 NO 3 SOA(Secondary Organic Aerosols ) / /

8 (a) (b) (c) / / km 50 km 60 km []. ( 2.5) [J]., 2005, 9(2): [2] MEREDITH F, ARIANA Z, JOELS. Association between 2.5 and all-cause and specific-cause mortality in 27 US communities[j]. J Exposure Science and Environmental Epidemiology, 2007, 7(3): [3]. [J]., 203, 29(2): [4] WANGX M. WRF/CHEM modeling of impacts of weather conditions modified by urban expansion on secondary organic aerosol formation over Pearl River Delta[J]. Particuology, 2009, 7(5): [5]. [J]., 2003, 9( ): [6] KEARY J, JENNINGSS G, et al. 0 concentration measurements in Dublin city[j]. Environmental Monitoring and Assessment, 998(-2): 3-8. [7] ADEM A, MURATH, MURAT K, et al. Energy situation and renewables in Turkey and environmental effects of energy use[j]. Renewable and Sustainable Energy Reviews, 2008, 2(8): [8] GALINDON, VAREAM, YUBEROE, et al. The influence of meteorology on particulate matter concentrations at an urban Mediterranean location[j].water Air Soil Pollut, 20, 25(-4): [9] LOKMAN H T, PINAR S, OMAR A, et al. Effect of meteorological parameters on fine and coarse particulate matter mass concentration in a

9 36 3 coal-mining area in Zonguldak, Turkey[J]. J Air & Waste Management Assoc, 2008, 58(4): [0] ARTHUR T, OWEN M. Temporal, spatial and meteorological variations in hourly 2.5 concentration extremes in New York City[J]. Atmos Environ, 2004, 38(): [] MATTHEW R, ROGER T, RALF T. Similarities of boundary layer ventilation and particulate matter roses[j]. Atmos Env, 2006, 40(27): [2]. 0 [J]., 2008, 24(5): [3] HIENP D, BACVT, THAM D, et al. Influence of meteorological conditions on 2.5 and concentrations during the monsoon season in Hanoi, Vietnam[J]. Atmos Env, 2002, 36(2): [4],,,. [J]., 2004, 62(): 04-. [5] ZHAO P S, DONG F, HEL D, et al. Characteristics of concentrations and chemical compositions for 2.5 in the region of Beijing, Tianjin, and Hebei, China[J]. Atmos Chem Phys, 203, 3(9): [6], [J]., 2005, 6(5): 5-9. [7],,,. [C]// 2004: 7-9. [8],,,. 0 [J]., 2007, 20(6): [9],,,. 0 [J]., 2008, 32(4): [20],,,. [J]., 200, 30(7): [2],, [J]., 20, 24(9): [22] GOMISCEKA B, FRANK A, PUXBAUM H, et al. Case study analysis of burden at an urban and a rural site during the AUPHEP project[j]. Atmos Env, 2004, 38(24): [23] DAWSON J P, ADAMS P J,PANDIS S N, et al. Sensitivity of 2.5 to climate in the Eastern US: a modeling case study[j]. Atmos Chem Phys, 2007, 7(6): [24],,. Models-3/CMAQ [J]., 2007, 27(4):59-65 [25],,,. [J]., 2008, 29(5): ANALYSIS ON TEMPO-SPATIAL VARIATIONS OF 2.5 AND 0 IN SUZHOU REGION IN 202 JIANG Yao, 2, WANG Ting 3, SHEN Li-hong 4, YAN Ming-liang 3, ZHOU Chen-hong, 2, HUANG Jian-ping, 2, BAO Yun-xuan, 2. Jiangsu Key Laboratory of Agricultural Meteorology, NUIST, Nanjing 20044, China; 2. Yale-NUIST Center on Atmospheric Environment, NUIST, Nanjing 20044, China; 3. Meteorology Bureau of Kunshan City in Jiangsu Province, Kunshan 25300, China; 4. Meteorology Bureau of Taicang City in Jiangsu Province, Taicang 25400, China Abstract:In order to determine the time and space distribution characteristics of atmospheric pollutants in Suzhou, data of atmospheric pollutants and automatic meteorological observation were collected in three atmospheric environmental monitoring stations (Suzhou, Kunshan and Taicang) in 202. Based on the data, time and space distribution characteristics of 2.5 and 0 were discussed and the influence of meteorological conditions on 2.5 and 0 were investigated. The results are shown as follows. () The annual average concentration of 2.5 and 0 in Suzhou was 42.5 μg/m 3 and 88.5 μg/m 3, respectively, while the average in the surrounding area was 62.0 μg/m 3 and.5 μg/m 3, respectively. The maximum of 2.5 and 0 appeared in spring and the minimum appeared in summer. (2) Daily maximum of 2.5 and 0 in the Suzhou area appeared at 8 to 9 am. (3) Precipitation, air temperature, wind speed, relative humidity played a decisive role for the high concentrations of 2.5 and 0. Precipitation had obvious removal effect for 2.5 and 0, and wind had better diffusion effect. 2.5 and 0 increased with the rise of temperature. With high pressure, 2.5 and 0 concentration increased obviously. (4) The range and mean of 2.5 / 0 at the Suzhou station were lower than that of Kunshan and Taicang stations; there were obvious diurnal variation for 2.5 / 0. Key words:atmospheric pollution; particulate matter; meteorological factors; Suzhou area