Air Quality Management Services:
Air quality management is a complex process that requires continuous assessment and control strategy planning towards achieving ever-evolving air quality objectives. Achieving clean air through well-planned studies requires appropriate instrumentation and measurement techniques, performing detailed data analysis, and understanding the air shed’s characteristic meteorological and geographical parameters, to name a few.
A variety of multivariate and regression analysis techniques have been utilized by researchers for apportioning ambient pollutants to modeled sources, such as Positive Matrix Factorization (PMF), Chemical Mass Balance (CMB), US-EPA’s UNMIX, Absolute Principal Component Analysis (APCA), etc. These types of source apportionment models enable identification of sources impacting the receptor sites. The efficacy of control strategies can be gauged based on trends in model-defined source contributions.
Network Data Analysis:
A network of monitoring sites provides a comprehensive understanding of intra-urban variability of ambient pollutants as well as the modeled source contributions. Highly time resolved ambient measurements allow capture of the finer details of source impacts and can be used for identifying source locations that lead to high concentrations at receptor sites. A thorough understanding of such issues enables the control and monitoring strategies required for modulating the air quality.