Design of a sensitive air quality monitoring network using an integrated optimization approach
作者： Khaled Zoroufchi Benis , Esmaeil Fatehifar , Sirous Shafiei , Fatemeh Keivani Nahr , Yaser Purfarhadi
DOI: 10.1007/S00477-015-1189-Z
关键词:
摘要: A new method is developed to design a multi-objective and multi-pollutant sensitive air quality monitoring network (AQMN) for an industrial district. dispersion model employed estimate the ground level concentration of pollutants emitted from different emission sources. The primary objective AQMN providing maximum information about pollutant with respect (1) coverage area, (2) detection violations over ambient standards (3) sensitivity stations Ant Colony Optimization algorithm (ACO) Genetic Algorithm (GA) are adopted as optimization tools identify optimal configuration network. comparison between results ACO GA shows that performance both algorithms acceptable in finding AQMN. application existing refinery stacks indicates three suitable cover study area. station locations sources investigated database including each source created.
springer.com
sci-hub.se 参考文章(49)
Abdullah Mofarrah, Tahir, Badr H., Design of Urban Air Quality Monitoring Network: Fuzzy Based Multi-Criteria Decision Making Approach InTech. ,(2011) , 10.5772/16716
A. Corti, A. Senatore, Project of an Air Quality Monitoring Network for Industrial Site in Italy Urban Air Quality: Measurement, Modelling and Management. ,vol. 65, pp. 109- 117 ,(2000) , 10.1007/978-94-010-0932-4_12
Richard W Baldauf, Dennis D Lane, Glen A Marote, Ambient air quality monitoring network design for assessing human health impacts from exposures to airborne contaminants. Environmental Monitoring and Assessment. ,vol. 66, pp. 63- 76 ,(2001) , 10.1023/A:1026428214799
Air Pollution : Health and Environmental Impacts CRC press. ,(2010) , 10.1201/EBK1439809624
Prasad M. Modak, B. N. Lohani, Optimization of ambient Air Quality Monitoring Networks : (Part III). Environmental Monitoring and Assessment. ,vol. 5, pp. 39- 53 ,(1985) , 10.1007/BF00396393
E. Fatehifar, A. Elkamel, M. Taheri, A MATLAB‐based modeling and simulation program for dispersion of multipollutants from an industrial stack for educational use in a course on air pollution control Computer Applications in Engineering Education. ,vol. 14, pp. 300- 312 ,(2006) , 10.1002/CAE.20089
Dimosthenis A. Sarigiannis, Michaela Saisana, Multi-objective optimization of air quality monitoring. Environmental Monitoring and Assessment. ,vol. 136, pp. 87- 99 ,(2007) , 10.1007/S10661-007-9725-Z
J.C.M. Pires, S.I.V. Sousa, M.C. Pereira, M.C.M. Alvim-Ferraz, F.G. Martins, Management of air quality monitoring using principal component and cluster analysis—Part I: SO2 and PM10 Atmospheric Environment. ,vol. 42, pp. 1261- 1274 ,(2008) , 10.1016/J.ATMOSENV.2007.10.041
Feng Liu, Zhi Wen, Li Jun Zheng, Mathematical modeling for air quality management under stochastic and interval uncertainties Stochastic Environmental Research and Risk Assessment. ,vol. 29, pp. 1485- 1498 ,(2015) , 10.1007/S00477-014-0934-Z
Álvaro Gómez-Losada, Antonio Lozano-García, Rafael Pino-Mejías, Juan Contreras-González, Finite mixture models to characterize and refine air quality monitoring networks. Science of The Total Environment. ,vol. 485, pp. 292- 299 ,(2014) , 10.1016/J.SCITOTENV.2014.03.091