Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China

To reveal the temporal–spatial characteristics of air pollution during winter haze events on the north slope of the Tianshan mountains, a combined detection experiment was conducted in this study using a tethered airship, Lidar, and ground monitors from December 2019 to January 2020 in Shihezi. Firs...

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Main Authors: Gang Ren, Hu Ming, Jin Wang, Wenxiao Wang, Dongliang An, Wei Lei, Qing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/10/1587
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author Gang Ren
Hu Ming
Jin Wang
Wenxiao Wang
Dongliang An
Wei Lei
Qing Zhang
author_facet Gang Ren
Hu Ming
Jin Wang
Wenxiao Wang
Dongliang An
Wei Lei
Qing Zhang
author_sort Gang Ren
collection DOAJ
description To reveal the temporal–spatial characteristics of air pollution during winter haze events on the north slope of the Tianshan mountains, a combined detection experiment was conducted in this study using a tethered airship, Lidar, and ground monitors from December 2019 to January 2020 in Shihezi. First, the boundary layer height (BLH) was calculated using the temperature, relative humidity, wind speed, and atmospheric pressure detected by the tethered airship; the BLHs were mainly distributed from 200 m to 450 m, with the visibility (V) mainly less than 3000 m. Subsequently, the temporal–spatial characteristics of the atmospheric pollutants were analyzed. The results show that during winter haze events, the temperature was mainly between −5 °C and −15 °C, and the relative humidity was between 60% and 75%, with a wind speed of less than 2 m/s. Moreover, the temperature difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Δ</mo></semantics></math></inline-formula>T) within the BLH was basically greater than 0, except from 14:00 to 18:00, and a larger <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Δ</mo></semantics></math></inline-formula>T corresponded to a lower V and more severe pollution, which indicates that the sensible heat flux is very weak, and the atmospheric structure is very stable. Meanwhile, the PM<sub>2.5</sub> and PM<sub>10</sub> were mainly concentrated between 130 and 180 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> and between 160 and 230 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula>, respectively; the maximum PM<sub>2.5</sub> and PM<sub>10</sub> appeared at 11:00–13:00. Furthermore, the black carbon was distributed at 6–8 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> and decreased significantly around the BLH. Moreover, the extinction coefficient (EC) had a negative correlation with the V, and the maximum of the EC was 9 km<sup>−1</sup> when V was the minimum (less than 1500 m) from 10:00 to 11:00. Finally, the relationship between V and the air quality index (AQI) is constructed as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>Q</mi><mi>I</mi><mo>=</mo><mn>456</mn><msup><mi>e</mi><mrow><mo>−</mo><mn>0.00061</mn><mi>V</mi></mrow></msup></mrow></semantics></math></inline-formula>. The conclusions obtained provide a reference for haze elimination and environmental governance of the locale.
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spelling doaj.art-66781687a4ca44b68a266cd0dbef73202023-11-19T15:37:08ZengMDPI AGAtmosphere2073-44332023-10-011410158710.3390/atmos14101587Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, ChinaGang Ren0Hu Ming1Jin Wang2Wenxiao Wang3Dongliang An4Wei Lei5Qing Zhang6Shihezi Meteorological Bureau, Shihezi 832000, ChinaSchool of Electrical & Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaShihezi Meteorological Bureau, Shihezi 832000, ChinaSchool of Electrical & Electronic Engineering, Shandong University of Technology, Zibo 255000, ChinaShihezi Meteorological Bureau, Shihezi 832000, ChinaShihezi Meteorological Bureau, Shihezi 832000, ChinaUrumqi Meteorological Satellite Ground Station, Urumqi 830000, ChinaTo reveal the temporal–spatial characteristics of air pollution during winter haze events on the north slope of the Tianshan mountains, a combined detection experiment was conducted in this study using a tethered airship, Lidar, and ground monitors from December 2019 to January 2020 in Shihezi. First, the boundary layer height (BLH) was calculated using the temperature, relative humidity, wind speed, and atmospheric pressure detected by the tethered airship; the BLHs were mainly distributed from 200 m to 450 m, with the visibility (V) mainly less than 3000 m. Subsequently, the temporal–spatial characteristics of the atmospheric pollutants were analyzed. The results show that during winter haze events, the temperature was mainly between −5 °C and −15 °C, and the relative humidity was between 60% and 75%, with a wind speed of less than 2 m/s. Moreover, the temperature difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Δ</mo></semantics></math></inline-formula>T) within the BLH was basically greater than 0, except from 14:00 to 18:00, and a larger <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mo>Δ</mo></semantics></math></inline-formula>T corresponded to a lower V and more severe pollution, which indicates that the sensible heat flux is very weak, and the atmospheric structure is very stable. Meanwhile, the PM<sub>2.5</sub> and PM<sub>10</sub> were mainly concentrated between 130 and 180 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> and between 160 and 230 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula>, respectively; the maximum PM<sub>2.5</sub> and PM<sub>10</sub> appeared at 11:00–13:00. Furthermore, the black carbon was distributed at 6–8 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi mathvariant="sans-serif">μ</mi><mi mathvariant="normal">g</mi></mrow><mo>·</mo><msup><mi mathvariant="normal">m</mi><mrow><mo>−</mo><mn>3</mn></mrow></msup></mrow></semantics></math></inline-formula> and decreased significantly around the BLH. Moreover, the extinction coefficient (EC) had a negative correlation with the V, and the maximum of the EC was 9 km<sup>−1</sup> when V was the minimum (less than 1500 m) from 10:00 to 11:00. Finally, the relationship between V and the air quality index (AQI) is constructed as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>Q</mi><mi>I</mi><mo>=</mo><mn>456</mn><msup><mi>e</mi><mrow><mo>−</mo><mn>0.00061</mn><mi>V</mi></mrow></msup></mrow></semantics></math></inline-formula>. The conclusions obtained provide a reference for haze elimination and environmental governance of the locale.https://www.mdpi.com/2073-4433/14/10/1587hazetethered airshipLidarboundary layer
spellingShingle Gang Ren
Hu Ming
Jin Wang
Wenxiao Wang
Dongliang An
Wei Lei
Qing Zhang
Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
Atmosphere
haze
tethered airship
Lidar
boundary layer
title Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
title_full Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
title_fullStr Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
title_full_unstemmed Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
title_short Study of Haze Boundary Layer Features Based on Multi-Source Data in Shihezi, China
title_sort study of haze boundary layer features based on multi source data in shihezi china
topic haze
tethered airship
Lidar
boundary layer
url https://www.mdpi.com/2073-4433/14/10/1587
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