Coupling between meteorological factors and ambient aerosol load |
| |
| Authors: | Ankit Tandon Sudesh Yadav Arun K Attri |
| |
| Institution: | 1. College of Chemistry and Chemical Engineering, Jiangxi Normal University, Nanchang 330022, China;2. School of Environmental & Chemical Engineering, Nanchang University, Nanchang 330031, China;1. Institute of Rock Structure and Mechanics, Academy of Sciences of the Czech Republic, v.v.i., V Hole?ovi?kách 41, 182 09 Prague, Czech Republic;2. Department of Geological Sciences, National Research Centre, Dokki, Cairo 12622, Egypt;3. Geological Survey of the Slovak Republic, Mlynská dolina 1, Bratislava, Slovak Republic;1. British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK;2. School of Geography, Sir Clive Granger Building, The University of Nottingham, University Park, Nottingham, NG7 2RD, UK;3. Parsons Brinckerhoff Queen Victoria House, Redland Hill, Bristol, BS6 6US, UK;1. State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2. Department of Environmental Sciences, University of California, Riverside, CA 92507, USA;1. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India;2. Department of Environmental Sciences, School of Life Sciences, Central University of Jammu, Bagla (Rahya-Suchani), District Samba, Jammu, J&K- 181143, India;3. School of Earth & Environmental Sciences, Central University of Himachal Pradesh, Dharamshala, Kangra, Himachal Pradesh 176215, India |
| |
| Abstract: | The coarser (CPM) and respirable (RPM) fractions of aerosol loads collected in a time sequence, during the onset of winter season in Delhi region, were subjected to Principal Component Analysis (15 elemental variables, 39 samples); the absolute mass contributed by each identified source to the CPM and RPM was quantified by using Absolute Principal Component Score (APCS) and Positive Matrix Factorization (PMF) method. Interestingly, the mass contributed by the local crustal source (material) to both fractions manifested undulating periodic behavior, a dominating harmonic corresponding to 24-h period was detected by using Discrete Fourier Transform (DFT). The corresponding harmonics, of varying strengths, were also detected in the recorded meteorological factors: Planetary Boundary Layer (PBL), Surface Level Temperature (T), Surface Level Relative Humidity (RH) and Wind Speed (WS). The analysis of the respective harmonic strength within the CPM, RPM, and meteorological factors suggested that the undulation observed in both size fractions of aerosol load from the local crust was affected by the meteorological factors. The large proportion of undulating loads (CPM and RPM), explained by the dominating harmonic, was fully accounted for by the empirical relation involving the discrete coupling parameters, and the recorded meteorological factors: PBL, T, RH and WS. The analysis suggests that the magnitude and the direction (‘positive’ load increase and ‘negative’ the reverse) of coupled meteorological factors'(s) effect on ambient CPM, RPM load is determined by the phase difference between the harmonic explaining the aerosol fraction's load and the corresponding harmonic present in the respective meteorological factor. The absolute mass contributions arising from the identified sources (APCS and PMF) allowed us to calculate the baseline ambient concentrations of undulating CPM and RPM loads, in the region of this study, affected by meteorological factors only. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
