Air pollution sources identification precisely based on remotely sensed aerosol and Glowworm Swarm Optimization

被引：3

作者：

Chen, Yunping ^{[1
]}

Han, Weihong ^{[1
]}

Wang, Wenhuan ^{[1
]}

Xiong, Yaju ^{[1
]}

Tong, Ling ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY) | 2015年

关键词：

Glowworm Swarm Optimization; pollution source identification; remote sensing; aerosol;

D O I：

10.1109/SmartCity.2015.56

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we developed a novel method to identify air pollution sources based on remotely sensed aerosol data and Glowworm Swarm Optimization (GSO). In practice, it is usually to identify the air pollution sources to certain industries, such as transportation, power plants, biomass burning, and et. al. To our knowledge, the problem of locating and quantifying the pollution to the specified factories is faced for the first time. In this study, the aerosol retrieved from remotely sensed image and GIS were used to locate and quantify the pollution to each enterprise in the study area based on an improved Glowworm Swarm Optimization and meteorological condition. As a result, the gross and intensity of every enterprise in the study area were achieved. Therefore, the polluting contribution of each factory could be listed, and the most polluting factories could be found. Some experiments were carried out to validate the method, and the Key monitoring factories by local authority was ferreted out accurately.

引用

页码：112 / 116

页数：5

共 13 条

[1] Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) [J].

Chu, DA ;

Kaufman, YJ ;

Zibordi, G ;

Chern, JD ;

Mao, J ;

Li, CC ;

Holben, BN .

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D21)

[2] Evaluation of some air pollution indicators in Turkey [J].

Elbir, T ;

Müezzinoglu, A ;

Bayram, A .

ENVIRONMENT INTERNATIONAL, 2000, 26 (1-2) :5-10

[3] Qualitative and quantitative evaluation of MODIS satellite sensor data for regional and urban scale air quality [J].

Engel-Cox, JA ;

Holloman, CH ;

Coutant, BW ;

Hoff, RM .

ATMOSPHERIC ENVIRONMENT, 2004, 38 (16) :2495-2509

[4] SATELLITE MEASUREMENTS OF AEROSOL MASS AND TRANSPORT [J].

FRASER, RS ;

KAUFMAN, YJ ;

MAHONEY, RL .

ATMOSPHERIC ENVIRONMENT, 1984, 18 (12) :2577-2584

[5] Characterization of aerosol pollution events in France using ground-based and POLDER-2 satellite data [J].

Kacenelenbogen, M. ;

Leon, J. -F. ;

Chiapello, I. ;

Tanre, D. .

ATMOSPHERIC CHEMISTRY AND PHYSICS, 2006, 6 :4843-4849

[6]

KAUFMAN YJ, 1983, J CLIM APPL METEOROL, V22, P1694, DOI 10.1175/1520-0450(1983)022<1694:LEBADS>2.0.CO

[7]

[8]

Krishnanand K. N., 2005, SWARM INT S 2005 SIS

[9]

Krishnanand K. N., 2009, Int. J. Comput. Intell. Stud., V1, P93

[10] Estimating ground-level PM2.5 in the eastern united states using satellite remote sensing [J].

Liu, Y ;

Sarnat, JA ;

Kilaru, A ;

Jacob, DJ ;

Koutrakis, P .

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2005, 39 (09) :3269-3278

← 1 2 →