Procedure LIAM (LDAR, IR Camera, Analyzing & Modeling) to determine the contribution of ambient emissions and combustion of hydrocarbon

In special petroleum areas where the petrochemical, petroleum and gas industries are located, ambient emissions are the first and most environmental pollutants that are undetectable. The present study aims to assess the environmental pollutants resulting from leaks and fixed resources of Olefin unit in the Arya Sasol Petrochemical Complex located in Asaluyeh, south of Iran. In this study, the LIAM method (LDAR, IR Camera, Analyzing & Modeling) was for sampling process during four seasons from 2016 to 2017. Leak points of the unit were detected by IR Camera and LDAR program. AERMODE software was also used to model the dispersion of SO₂, NO_X, CO₂ and particulate matters released from the fixed resources. In the next, IDW method in ArcGIS 10.2 was conducted to interpolate the environmental pollutants. The interpolation of the annual average of pollutants showed that the concentration of benzene, butadiene, ethylbenzene, heptane and SO₂ in some sections is higher than the environmental standards. The results of AERMODE modeling showed that the maximum 24-h concentration and annual average of SO₂ only in autumn have exceeded the clean air standard. The combination of proposed methods in this study can be used as a smart way to evaluate the industrial pollutants.