Precipitable water vapour (PWV) variations as observed using GPS during 2021 forest fires in Southwestern Turkey

被引:0
作者
Gokhan Gurbuz
机构
[1] Zonguldak Bulent Ecevit University,Department of Geomatics Engineering, Faculty of Engineering
来源
Acta Geophysica | 2022年 / 70卷
关键词
GPS; Precipitable water vapour; Particulate Matter 10; Forest fires;
D O I
暂无
中图分类号
学科分类号
摘要
Devastating forest fires occurred in the southwestern part of Turkey in summer 2021. Besides the fire itself, air quality standards also drastically dropped. Mugla and Antalya were affected the most by the forest fires. Also, precipitable water vapour (PWV) values show different behaviours from the climate typical. Precipitation, temperature, and pressure parameters were investigated, and no anomalies were found. Particulate matters and other pollutants resulting from forest fires were the remaining indicators behind the PWV fluctuations. The relation between PWV and particulate matters from 2.5 to 10 microns (PM10) was investigated at nine Global Positioning System (GPS) stations located at Antalya and Mugla using 15 air quality monitoring stations. The PWV analysis results show a sudden increase in PWV during the forest fires at most GPS stations. After the fires, PWV values decreased over time. However, PWV values were still higher than before the fires. Furthermore, the mean value, the maximum values, and the standard deviation of PM10 during and after the forest fires were investigated. Results show that the PM10 values were in line with the forest fires effects and correlated with the distance between air quality monitoring stations and the forest fire. Most air quality monitoring stations have higher maximum and average PM10 values during the forest fires than after the forest fires. The correlation coefficient between the two datasets shows a high correlation during the forest fires at all the GPS stations. Therefore, results indicate that, as the PM10 concentration increases, PWV values also increase.
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页码:1937 / 1946
页数:9
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  • [1] Atasoy A(2014)Forest fires occurred on border area between Turkey (Hatay) and Syria Procd Soc Behv 120 680-685
  • [2] Geçen R(2020)Population exposure to particulate-matter and related mortality due to the Portuguese wildfires in October 2017 driven by storm Ophelia Environ Int 144 106056-15801
  • [3] Augusto S(1992)GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system J Geophys Res Atmos 97 15787-386
  • [4] Ratola N(1994)GPS meteorology: mapping zenith wet delays onto precipitable water J Appl Meteorol 33 379-15
  • [5] Tarín-Carrasco P(2020)Large air quality and human health impacts due to Amazon forest and vegetation fires Env Res Com 2 095001-478
  • [6] Jiménez-Guerrero P(2021)Türker YÖ (2021) Forest fire and law: an analysis of Turkish forest fire legislation based on food and agriculture organization criteria Fire Ecol 17 1-300
  • [7] Turco M(2020)Emission of atmospheric pollutants during forest fire in boreal region of China Environ Pollut 264 114709-597
  • [8] Schuhmacher M(2020)A method for predicting short-time changes in fine particulate matter (PM2.5) mass concentration based on the global navigation satellite system zenith tropospheric delay Meteorol Appl 27 E1866-371
  • [9] Costa S(2021)Monitoring 2019 forest fires in Southeastern Australia with GPS technique Remote Sens 13 386-100
  • [10] Teixeira JP(2020)Investigation into the effect of atmospheric particulate matter (PM10) concentrations on GNSS estimated zenith wet delay (in Turkish) Afyon Kocatepe Univ J Sci Eng 20 472-285