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冬季颗粒物浓度、来源及其与不同气象参数关系的调查

Wintertime investigation of PM concentrations, sources, and relationship with different meteorological parameters.

作者信息

Zeb Bahadar, Ditta Allah, Alam Khan, Sorooshian Armin, Din Badshah Ud, Iqbal Rashid, Habib Ur Rahman Muhammed, Raza Ahsan, Alwahibi Mona S, Elshikh Mohamed S

机构信息

Department of Mathematics, Shaheed Benazir Bhutto University Sheringal, Dir (Upper), 18000, Khyber Pakhtunkhwa, Pakistan.

Department of Environmental Sciences, Shaheed Benazir Bhutto University Sheringal, Dir (U), Khyber Pakhtunkhwa, 18000, Pakistan.

出版信息

Sci Rep. 2024 Jan 2;14(1):154. doi: 10.1038/s41598-023-49714-w.

Abstract

Meteorological factors play a crucial role in affecting air quality in the urban environment. Peshawar is the capital city of the Khyber Pakhtunkhwa province in Pakistan and is a pollution hotspot. Sources of PM and the influence of meteorological factors on PM in this megacity have yet to be studied. The current study aims to investigate PM mass concentration levels and composition, identify PM sources, and quantify links between PM and various meteorological parameters like temperature, relative humidity (RH), wind speed (WS), and rainfall (RF) during the winter months from December 2017 to February 2018. PM mass concentrations vary from 180 - 1071 µg m, with a mean value of 586 ± 217 µg m. The highest concentration is observed in December, followed by January and February. The average values of the mass concentration of carbonaceous species (i.e., total carbon, organic carbon, and elemental carbon) are 102.41, 91.56, and 6.72 μgm, respectively. Water-soluble ions adhere to the following concentration order: Ca  > Na  > K  > NH  > Mg. Twenty-four elements (Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Co, Zn, Ga, Ge, As, Se, Kr, Ag, Pb, Cu, and Cd) are detected in the current study by PIXE analysis. Five sources based on Positive Matrix Factorization (PMF) modeling include industrial emissions, soil and re-suspended dust, household combustion, metallurgic industries, and vehicular emission. A positive relationship of PM with temperature and relative humidity is observed (r = 0.46 and r = 0.56, respectively). A negative correlation of PM is recorded with WS (r =  - 0.27) and RF (r =  - 0.46). This study's results motivate routine air quality monitoring owing to the high levels of pollution in this region. For this purpose, the establishment of air monitoring stations is highly suggested for both PM and meteorology. Air quality standards and legislation need to be revised and implemented. Moreover, the development of effective control strategies for air pollution is highly suggested.

摘要

气象因素在影响城市环境空气质量方面起着至关重要的作用。白沙瓦是巴基斯坦开伯尔-普赫图赫瓦省的省会,是一个污染热点地区。该特大城市中细颗粒物(PM)的来源以及气象因素对PM的影响尚未得到研究。当前的研究旨在调查2017年12月至2018年2月冬季期间PM的质量浓度水平和组成,识别PM的来源,并量化PM与各种气象参数(如温度、相对湿度(RH)、风速(WS)和降雨量(RF))之间的联系。PM的质量浓度在180 - 1071微克/立方米之间变化,平均值为586±217微克/立方米。12月观测到的浓度最高,其次是1月和2月。碳质物种(即总碳、有机碳和元素碳)质量浓度的平均值分别为102.41、91.56和6.72微克/立方米。水溶性离子遵循以下浓度顺序:Ca>Na>K>NH>Mg。在本研究中,通过粒子激发X射线发射(PIXE)分析检测到了24种元素(Al、Si、S、Cl、K、Ca、Ti、V、Cr、Mn、Fe、Co、Ni、Co、Zn、Ga、Ge、As、Se、Kr、Ag、Pb、Cu和Cd)。基于正矩阵因子分解(PMF)模型的五个来源包括工业排放、土壤和再悬浮灰尘、家庭燃烧、冶金工业和车辆排放。观测到PM与温度和相对湿度呈正相关(r分别为0.46和0.56)。记录到PM与WS(r = - 0.27)和RF(r = - 0.46)呈负相关。由于该地区污染水平较高,本研究结果促使进行常规空气质量监测。为此,强烈建议建立针对PM和气象的空气监测站。空气质量标准和法规需要修订并实施。此外,强烈建议制定有效的空气污染控制策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8058/10761681/5950975713c4/41598_2023_49714_Fig1_HTML.jpg

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