Wetlands are important ecosystems both at regional and global scales. They are home to a diverse group of flora and fauna, and provide water for drinking, irrigation, and recreational purposes. Miangaran endorheic wetland in SW Iran serves as the discharge point of the municipal wastewater of a nearby city; it receives agricultural return flows as well. To identify the consequences of the wastewater input, 29 water samples from the wetland's body and inlet streams were analyzed for physico-chemical parameters. The average EC of the wetland was 405 μS/cm; calcium, magnesium, and bicarbonate were the dominant ions. The average pH was high, about 8.6, due to carbonate dissolution in the drainage area which was exacerbated by photosynthesis process inside the wetland. The concentration of phosphate was over the eutrophication limit of 0.1 mg/L. Nitrate contents varied from 5.7 to 12.3 mg/L. Trophic state index based on total nitrogen was about 63, falling within the eutrophic group. Heavy metal concentrations were generally higher than WHO drinking limits. Highest values of EC, nutrients, and metals were observed in the south and northwest, clearly signifying the role of wastewater input as the main source of contamination, which has resulted in the eutrophication of the wetland.

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 SO 2 , NO X , CO 2 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 SO 2 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 SO 2 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.