Pronounced changes in air quality, atmospheric and meteorological parameters, and strong mixing of smoke associated with a dust event over Bakersfield, California

Chauhan, Akshansha; Azevedo, Samara; Singh, Ramesh P.

doi:10.1007/s12665-018-7311-z

Cited by 12 publications

(5 citation statements)

References 55 publications

(62 reference statements)

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“…Simulations with the atmospheric model WRF-Chem 3.6.1 and the implementation of Lagrangian trajectories applying the The results found here show that under the extreme conditions of October 2007, a considerable amount of dust traveled above the Gulf of California, and an important part is deposited. This kind of event causes an extreme erosion in northwestern Mexico and the soil loss under winds of this magnitude to represent a robust environmental impact over the coasts as an air quality and visibility reducer [65,66], and as a pathogen transport [67]. Despite the negative effect, this critical quantity of dust contributes directly to the mineralization of the Gulf of California and could be of importance to biological processes as it has been observed in the Gulf of California and other parts of the world.…”

Section: Discussionmentioning

confidence: 99%

Dust Deposition on the Gulf of California Caused by Santa Ana Winds

et al. 2020

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Numerical simulations revealed a profound interaction between the severe dust storm of 2007 caused by Santa Ana winds and the Gulf of California. The weather research and forecasting model coupled with a chemistry module (WRF-CHEM) and the hybrid single-particle Lagrangian integrated trajectory model (HYSPLIT) allowed for the estimation of the meteorological and dynamic aspects of the event and the dust deposition on the surface waters of the Gulf of California caused by the erosion and entrainment of dust particles from the surrounding desert regions. The dust emission rates from three chosen areas (Altar desert, Sonora coast, and a region between these two zones) and their contribution to dust deposition over the Gulf of California were analyzed. The Altar Desert had the highest dust emission rates and the highest contribution to dust deposition over the Gulf of California, i.e., it has the most critical influence with 96,879 tons of emission and 43,539 tons of dust deposition in the gulf. An increase of chlorophyll-a concentrations is observed coinciding with areas of high dust deposition in the northern and western coast of the gulf. This kind of event could have a significant positive influence over the mineralization and productivity processes in the Gulf of California, despite the soil loss in the eroded regions.

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Section: Discussionmentioning

confidence: 99%

Dust Deposition on the Gulf of California Caused by Santa Ana Winds

et al. 2020

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“…The concentration of coarse particles increases with the dust storm, furthermore, dust storm particles mix with the local and surrounding emissions of the major city. Recently, Chauhan et al [58] have shown strong mixing of emissions from a forest fire and dust episode over Bakersfield, California. In the dust event observed over Beijing on 15 April 2015, PM 10 and PM 2.5 reduced to 35 and 4 µg/m 3 , respectively, at around 8:00 h on 16 April.…”

Section: Dust Storm Event Of 15 April 2015mentioning

confidence: 99%

Aerosol and Meteorological Parameters Associated with the Intense Dust Event of 15 April 2015 over Beijing, China

Zheng

Singh

2018

Remote Sensing

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The northeastern parts of China, including Beijing city, the capital of China, were hit by an intense dust storm on 15 April 2015. The present paper discusses aerosol and meteorological parameters associated with this dust storm event. The back trajectory clearly shows that the dust originated from Inner Mongolia, the border of China, and Mongolia regions. Pronounced changes in aerosol and meteorological parameters along the dust track were observed. High aerosol optical depth (AOD) with low Ångström exponent (AE) are characteristics of coarse-mode dominated dust particles in the wavelength range 440-870 nm during the dusty day. During dust storm, dominance of coarse aerosol concentrations is observed in the aerosol size distribution (ASD). The single scattering albedo (SSA) retrieved from AERONET station shows increase with higher wavelength on the dusty day, and is found to be higher compared to the days prior to and after the dust event, supported with high values of the real part and decrease in the imaginary part of the refractive index (RI). With regard to meteorological parameters, during the dusty day, CO volume mixing ratio (COVMR) is observed to decrease, from the surface up to mid-altitude, compared with the non-dusty days due to strong winds. O 3 volume mixing ratio (O 3 VMR) enhances at the increasing altitudes (at the low-pressure levels), and decreases near the surface at the pressure levels 500-925 hPa during the dust event, compared with the non-dusty periods. An increase in the H 2 O mass mixing ratio (H 2 OMMR) is observed during dusty periods at the higher altitudes equivalent to the pressure levels 500 and 700 hPa. The mid-altitude relative humidity (RH) is observed to decrease at the pressure levels 700 and 925 hPa during sand storm days. With the onset of the dust storm event, the RH reduces at the surface level.

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“…It is essential to protect the environment, to control the pollution, and to ensure the safety of public health by using advanced ecological systems [2][3][4]. With the continuous stringent requirements of each country on the smoke and dust emission of thermal power plants, the emissions of SO 2 , NOx, and COx in the smoke and dust of thermal power plants have caused great pollution to the atmosphere, so real-time measurement of smoke as well as dust pollutants must be carried out [5,6].…”

Section: Introductionmentioning

confidence: 99%

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

Wang

Yao

Jiang

et al. 2021

Journal of Healthcare Engineering

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The major health hazards from smoke and dust are due to microscopic fine particles present in smoke as well as in dust. These fine particles, which are microscopic in nature, can penetrate into human lungs and give rise to a range of health problems such as irritation in eyes, a runny nose, throat infection, and chronic cardiac and lung diseases. There is a need to device such mechanisms that can monitor smoke in thermal power plants for timely control of smoke that can pollute air and affects adversely the people living nearby the plants. In order to solve the problems of low accuracy of monitoring results and long monitoring time in conventional methods, a real-time smoke and dust monitoring system in thermal power plants is proposed, which makes use of modified genetic algorithm (GA). The collection and calibration of various monitoring parameters are accomplished through sampling control. The smoke and dust emission real-time monitoring subsystems are employed for the monitoring in an accurate manner. A dual-channel TCP/IP protocol is used between remote and local controlling modules for secure and speedy communication of the system. The generic GA is improved on the basis of the problem statement, and the linear programming model is used to avoid the defect of code duplication with genetic operations. The experimental results show that the proposed smoke and dust monitoring system can effectively improve the accuracy of the monitoring results and also reduce the time complexity by providing solutions in a faster manner. The significance of the proposed technique is to provide a reliable basis for the smoke and dust emission control of thermal power plants for safeguarding the human health.

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Pronounced changes in air quality, atmospheric and meteorological parameters, and strong mixing of smoke associated with a dust event over Bakersfield, California

Cited by 12 publications

References 55 publications

Dust Deposition on the Gulf of California Caused by Santa Ana Winds

Dust Deposition on the Gulf of California Caused by Santa Ana Winds

Aerosol and Meteorological Parameters Associated with the Intense Dust Event of 15 April 2015 over Beijing, China

Design of a Real-Time Monitoring System for Smoke and Dust in Thermal Power Plants Based on Improved Genetic Algorithm

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