1. Summertime in-situ O3 monitoring and trend analysis over different sites in Michigan (NSF-2126097).
Objective: To infer the tropospheric temporal and spatial variation of O3 concentration during the 2021-22 summertime over different locations in Michigan and learn how to handle and maintain an O3 analyzer.
Contribution: Performed monthly data downloading, instrument setup & relocation, regular particulate filter change, and helped with 3-point system calibration.
2. Quantifying Global O3 impacts on air quality due to Snow-based NOx emission (NSF-2111428).
Objective: To fully understand the atmospheric mechanism, health, and air quality impacts of tropospheric O3 produced from global NOx emissions from snowpack photolysis.
Contribution: Developed, implemented, and debugged novel Goddard Earth Observing System (GEOS)-Chem codes to simulate snow-NOx flux emissions in GEOS-Chem v13.0.6.
3. Vertical Column Concentration of TROPOMI & OMI-sensed NO2 over Detroit, Michigan.
Objective: To determine the spatial distribution of satellite-sensed NO2 vertical column concentration over the southwest Detroit regions, Michigan, USA.
Contributions: Used model-compatible scripts for downloading large datasets of Tropospheric Monitoring Instrument (TROPOMI) -and Ozone Monitoring Instrument (OMI)-sensed big data in a high-performance computing environment and processed them either using IDL or Python 3.6 programming.
4. PM2.5 and O3 -induced premature deaths (both short & long-term) from global solid biofuel emission.
Objective: To measure the global premature deaths due to non-communicable diseases (NCD) like COPD, LRI, IHD, Lung cancer, and Stroke caused by daily PM2.5 and O3 exposure from 2000 to 2019.
Contribution: Used Community Atmosphere Model v5 (CAM5) coupled with chemistry (Chem) & CAM6-Chem models, Global Exposure Mortality Model (GEMM) model, and hazard ratio function in newly developed IDL programming to quantify and map out the spatial premature death and years of lives lost distribution on a global and regional scale.
5. Global Preterm Births due to BTEX Exposure in 2015.
Objective: To quantify and map out the global preterm births caused by the toxic mixture of Benzene, Toluene, Ethylbenzene & Xylene (BTEX) exposure.
Contribution: Used GEOS-Chem v12.6.3, GEMM model with predefined hazard ratios in novel IDL programming that quantifies and maps out a global spatial distribution of preterm births for 2015 due to BTEX exposure.
6. Long-term PM2.5 -and O3-induced premature deaths from residential and all sector coal emissions.
Objective: To interpret the long-term impacts of residential and all-sector coal emissions on air quality and human health in terms of global premature mortality due to daily PM2.5 -and O3 -exposure.
Contribution: Performed CAM6-Chem model simulation for the 2000-2019 year and analyzed health impacts using the GEMM model with predefined hazard ratios implemented in IDL programming.
[1] Principle of Atmospheric Chemistry & Applications [8] Applied Remote Sensing
[2] Environmental Remediation [9] Big Data Apps: Env Engg
[3] Sustainability Assessment & Management [10] Spatial Statistics & Analysis: Environmental Applications
[4] Advanced Air Pollution Engineering [11] Biostatistics 1
[5] Advanced Environ Chemistry [12] Principle Environmental Health
[6] Groundwater [13] Global Public Health
[7] Sustainability: Urban Environmental Systems [14] Open Channel Hydraulics