Estimate BTEX concentrations variations in a petrochemical parks area using a geographically and temporally weighted regression model

Jhao Yi Wu, Chih Da Wu, Yu Cheng Chen, Chin Yu Hsu, Mu Jean Chen

研究成果: Paper

摘要

Many studies have considered volatile organic carbons (VOCs) such as BTEX (toluene, ethylbenzene, mp-xylene, and o-xylene) as hazardous air pollutants. Besides contributing to the formation of ozone, the further effects of BTEX on health can increase the risk of cancer. The petrochemical industry is a major contributor to BTEX emissions, so determining the variations of these pollutants in the petrochemical industrial area is needed to reduce health risks due to BTEX exposures. In this study, a specific industrial monitoring database was used to collect BTEX data from May 2015 to September 2018 in Kaohsiung Petrochemical Parks area (including Linyuan Industrial Park and Linhai Industrial Park), Taiwan. Land use inventory, MODIS NDVI, digital road network map, temple, Chinese restaurant, thermal power plant, and weather variables were used as potential predictor variables in developing the prediction model. A Geographically Temporally Weighted Regression (GTWR) approach which considers both the spatial and temporal heterogeneity of air pollutants was then conducted to develop the prediction model for estimating the spatial-temporal variability of BTEX concentrations. The results showed that, BTEX concentrations decreased during the study period. The resultant models showed a mid-estimate performance level with the value of Adjusted R2 for toluene, ethylbenzene, mp-xylene, and o-xylene was 0.68 (RMSE = 0.93), 0.46 (RMSE = 0.26), 0.53 (RMSE = 0.49); and 0.47 (RMSE = 0.29), respectively. Moreover, the results of model simulation showed that the highest concentrations of ethylbenzene, mp-xylene, and o-xylene formed in the industrial zones close to the manufacturing areas while toluene was mostly found in the agricultural fields.

原文English
出版狀態Published - 2020 一月 1
事件40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
持續時間: 2019 十月 142019 十月 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
國家Korea, Republic of
城市Daejeon
期間19-10-1419-10-18

    指紋

All Science Journal Classification (ASJC) codes

  • Information Systems

引用此

Wu, J. Y., Wu, C. D., Chen, Y. C., Hsu, C. Y., & Chen, M. J. (2020). Estimate BTEX concentrations variations in a petrochemical parks area using a geographically and temporally weighted regression model. 論文發表於 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.