Relationships of relative humidity with PM2.5 and PM10 in the Yangtze River Delta, China

被引:116
|
作者
Lou, Cairong [1 ,2 ,3 ]
Liu, Hongyu [1 ,3 ]
Li, Yufeng [1 ,3 ]
Peng, Yan [4 ]
Wang, Juan [1 ,3 ]
Dai, Lingjun [1 ,3 ]
机构
[1] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China
[2] Nantong Univ, Coll Geog Sci, Nantong 226007, Peoples R China
[3] Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Coll Geog Sci, Nanjing 210023, Jiangsu, Peoples R China
[4] Nantong Meteorol Bur, Nantong 226007, Peoples R China
基金
中国国家自然科学基金;
关键词
Relative humidity (RH); Association; Particulatematter; Equal step-size statistical method; FINE PARTICLES PM2.5; PARTICULATE MATTER; SOURCE APPORTIONMENT; CHEMICAL-CHARACTERIZATION; DEPOSITION; POLLUTION; REGION; PRECIPITATION; VARIABILITY; WETLANDS;
D O I
10.1007/s10661-017-6281-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Severe particulate matter (PM, including PM2.5 and PM10) pollution frequently impacts many cities in the Yangtze River Delta (YRD) in China, which has aroused growing concern. In this study, we examined the associations between relative humidity (RH) and PM pollution using the equal step-size statistical method. Our results revealed that RH had an inverted U-shaped relationship with PM2.5 concentrations (peaking at RH = 45-70%), and an inverted V-shaped relationship (peaking at RH = 40 +/- 5%) with PM10, SO2, and NO2. The trends of polluted-day number significantly changed at RH = 70%. The very-dry (RH < 45%), dry (RH = 45-60%) and low-humidity (RH = 60-70%) conditions positively affected PM2.5 and exerted an accumulation effect, while the mid-humidity (RH = 70-80%), high-humidity (RH = 80-90%), and extreme-humidity (RH = 90-100%) conditions played a significant role in reducing particle concentrations. For PM10, the accumulation and reduction effects of RH were split at RH = 45%. Moreover, an upward slope in the PM2.5/PM10 ratio indicated that the accumulation effects from increasing RH were more intense on PM2.5 than on PM10, while the opposite was noticed for the reduction effects. Secondary transformations from SO2 and NO2 to sulfate and nitrate were mainly responsible for PM2.5 pollution, and thus, controlling these precursors is effective in mitigating the PM pollution in the YRD, especially during winter. The conclusions in this study will be helpful for regional air-quality management.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Effects of land use and landscape pattern on PM2.5 in Yangtze River Delta, China
    Lu, Debin
    Mao, Wanliu
    Yang, Dongyang
    Zhao, Jianan
    Xu, Jianhua
    ATMOSPHERIC POLLUTION RESEARCH, 2018, 9 (04) : 705 - 713
  • [22] Stable Isotopes Unravel the Sources and Transport of PM2.5 in the Yangtze River Delta, China
    Zhang, Han
    Hong, Zhenyu
    Wei, Lai
    Thornton, Barry
    Hong, Youwei
    Chen, Jinsheng
    Zhang, Xian
    ATMOSPHERE, 2023, 14 (07)
  • [23] Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China
    Wang, Xiaohao
    Wang, Qian
    Duan, Yusen
    Huang, Kan
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (12) : 2645 - 2658
  • [24] Complex network analysis of PM2.5 transport in the Yangtze River Delta Region, China
    Xiaohao Wang
    Qian Wang
    Yusen Duan
    Kan Huang
    Stochastic Environmental Research and Risk Assessment, 2021, 35 : 2645 - 2658
  • [25] Traceability Issue in PM2.5 and PM10 Measurements
    Aggarwal, S. G.
    Kumar, S.
    Mandal, P.
    Sarangi, B.
    Singh, K.
    Pokhariyal, J.
    Mishra, S. K.
    Agarwal, S.
    Sinha, D.
    Singh, S.
    Sharma, C.
    Gupta, P. K.
    MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA, 2013, 28 (03): : 153 - 166
  • [26] Traceability Issue in PM2.5 and PM10 Measurements
    Shankar G. Aggarwal
    Sudhanshu Kumar
    Papiya Mandal
    Bighnaraj Sarangi
    Khem Singh
    Jyoti Pokhariyal
    Sumit K. Mishra
    Smita Agarwal
    Deepak Sinha
    Sukhvir Singh
    Chhemendra Sharma
    Prabhat K. Gupta
    MAPAN, 2013, 28 : 153 - 166
  • [27] PM10 and PM2.5 -: legislation, measurement and control
    Sloss, LL
    Smith, IM
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2002, 17 (1-2) : 157 - 169
  • [28] Speciation and origin of PM10 and PM2.5 in Spain
    Querol, X. (xavier.querol@ija.csic.es), 1600, Elsevier Ltd (35):
  • [29] Speciation and origin of PM10 and PM2.5 in Spain
    Querol, X
    Alastuey, A
    Viana, MM
    Rodriguez, S
    Artiñano, B
    Salvador, P
    do Santos, SG
    Patier, RF
    Ruiz, CR
    de la Rosa, J
    de la Campa, AS
    Menendez, M
    Gil, JI
    JOURNAL OF AEROSOL SCIENCE, 2004, 35 (09) : 1151 - 1172
  • [30] COVID-19 Outbreak Related to PM10, PM2.5, Air Temperature and Relative Humidity in Ahvaz, Iran
    Yusef Omidi Khaniabadi
    Pierre Sicard
    Bahram Dehghan
    Hassan Mousavi
    Saeid Saeidimehr
    Mohammad Heidari Farsani
    Sadegh Moghimi Monfared
    Heydar Maleki
    Hojat Moghadam
    Pouran Moulaei Birgani
    Dr. Sulaiman Al Habib Medical Journal, 2022, 4 (4) : 182 - 195