Spatial-Temporal Re-Analysis of Seasonal Air Quality Data in Karachi City for Future Prospects

Arjan Das, Yasmin Nergis, Jawad Abdullah Butt, Mohammad Jahangir Khan
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引用次数: 1

Abstract

Air quality in Karachi, Pakistan appears to be deteriorating in the world due to rapid increase in population, economic growth and subsequent increase in urbanization and energy demand. This study Re-is about the cumulative effects of anthropogenic activities on air chemistry of the study area atmosphere with ground base concentration measurements of gaseous air pollutants (SO2, NO2, CO, CO2 and O3), particulates (PM10 and TSP), Methane, Lead and Noise with temperature and seasonal influences on Karachi city. The primary goal of this study was to define spatial and temporal distribution of air pollutants with ArcGIS, seasonal behavior of airborne contaminants, convert the five major pollutants termed as criteria pollutants into Air Quality Index (AQI) and their temperature association for future prospects. The maximum average values of four seasons concentrations of air pollutants were found SO2=64.5 ug/m3 (GR), NO2=55.5 ug/m3 (FB), CO= 8.00 mg/m3 (CC), CO2=645 ug/m3 (NZ), O3=56.7 ug/m3 (ST), PM10=225 μg/m3 (CC), TSP=402 ug/m3 (CC), Methane=1.65 m/gm3 (CC), Lead=5.1 ug/m3 (ST), and Noise=85 dB (GR). The minimum four seasons average concentration values with monitoring location as {SO2=48.2 ug/m3 (FB), NO2=44.6 ug/m3 (NZ), CO=4.1 mg/m3 (BC), CO2=601 ug/m3 (JH), O3=42.4 ug/m3 (GR), PM10=150 ug/m3 (BC), TSP=226 ug/m3 (JH), Methane=0.68 mg/m3 (BC), Lead=32 ug/m3 (GZ), and Noise=81 dB (BC). The spatial-temporal analysis of air quality revealed that the pollutants in the summer are higher in industrial and high-density traffic junctions. In this study, temperature and air quality are significantly associated, while rainfall and relatively high humidity days are negatively correlated. High temperature months have highest air pollution values, whereas the washout impact of precipitation and relative humidity have the lowest levels. The analysis of air quality index parameters demonstrated a high coherence among NO2, CO and O3 with variation in
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卡拉奇市季节性空气质量数据的时空再分析及未来展望
由于人口快速增长、经济增长以及随后城市化和能源需求的增加,巴基斯坦卡拉奇的空气质量在世界上似乎正在恶化。本研究通过对卡拉奇市气态空气污染物(SO2、NO2、CO、CO2和O3)、颗粒物(PM10和TSP)、甲烷、铅和噪声随温度和季节影响的地面浓度测量,研究人为活动对研究区大气化学的累积效应。本研究的主要目标是利用ArcGIS定义空气污染物的时空分布,空气污染物的季节行为,将五种主要污染物作为标准污染物转换为空气质量指数(AQI)及其与未来前景的温度关联。大气污染物四季浓度的最大平均值为SO2=64.5 ug/m3 (GR), NO2=55.5 ug/m3 (FB), CO= 8.00 mg/m3 (CC), CO2=645 ug/m3 (NZ), O3=56.7 ug/m3 (ST), PM10=225 μg/m3 (CC), TSP=402 ug/m3 (CC),甲烷=1.65 m/gm3 (CC),铅=5.1 ug/m3 (ST),噪声=85 dB (GR)。监测位置的最小四季平均浓度为:SO2=48.2 ug/m3 (FB), NO2=44.6 ug/m3 (NZ), CO=4.1 mg/m3 (BC), CO2=601 ug/m3 (JH), O3=42.4 ug/m3 (GR), PM10=150 ug/m3 (BC), TSP=226 ug/m3 (JH),甲烷=0.68 mg/m3 (BC),铅=32 ug/m3 (GZ), Noise=81 dB (BC)。空气质量的时空分析表明,夏季工业和高密度交通枢纽的污染物含量较高。在本研究中,温度与空气质量呈显著相关,而降雨量与相对高湿日数呈负相关。高温月份的空气污染值最高,而降水和相对湿度的冲刷影响最低。空气质量指数参数分析表明,NO2、CO和O3随时间的变化具有较高的一致性
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