Integrating Satellite Data and Low-Cost Sensors to Assess the Impact of Sugarcane Stubble Burning on Air Quality in the Rio Grande Valley, TX, USA.

Author

Sai Deepak Pinakana, The University of Texas Rio Grande Valley

Date of Award

5-1-2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Agricultural, Environmental, and Sustainability Sciences

First Advisor

Amit Raysoni

Second Advisor

Juan Gonzalez

Third Advisor

MD Saydur Rahman

Abstract

Burning is a common method for the disposal of agricultural biomass residue. Studies show a relation between stubble burning and local air quality, yet research on its effects in the Rio Grande Valley is limited. This project, therefore, utilizes MODIS-Combined, VIIRS-NPP, ABI-GOES-East aerosol data in combination with PM2.5 data collected continuously from Purple Air Monitors that were deployed at about 20 different locations in the Valley to accurately capture the pollutant trends both temporally and spatially. The 24-hour PM2.5 levels are linked to those from the Texas Commission on Environmental Quality (TCEQ) Continuous Ambient Monitoring Stations (CAMSs), highlighting both temporal and spatial variability.

Comments

Copyright 2025 Sai Deepak Pinakana. https://proquest.com/docview/3240611345

Recommended Citation

Pinakana, S. D. (2025). Integrating Satellite Data and Low-Cost Sensors to Assess the Impact of Sugarcane Stubble Burning on Air Quality in the Rio Grande Valley, TX, USA. [Master's thesis, The University of Texas Rio Grande Valley]. ScholarWorks @ UTRGV. https://scholarworks.utrgv.edu/etd/1725