CWE / 4/2017 当前世界环境 0973-4929 2320-8031 Enviro Research Publishers CWE--18-00 Identification of Ambient Air Pollution Prevention Zones Using Remotesensing and GIS:A Model Study 4 Jawaharlal Nehru Technological University, 4 Research Scholar, Hyderabad, 500 072, India. 2011-12-31 10.12944/CWE.6.2.02 Volume 6 Volume 6 207-215 Abstract

The present study has been carried out Air pollution zones and Risk area map for Air pollution Activities in nine mandals namely Nakkapalli ,Elamanchilli,S. Rayavaram, Achchutapuram, Rambilli, Anakapalle, Munagapaka, Kasimkota, Paravada of Visakhapatnam District, covering an area of 1355 Sq.km. The study area is located between north latitudes 17° 19’ and 17° 46’”and east longitudes 82°35’ and 83°10’ and is covered in the survey of India topographical map numbers 56H65 K/10,11,13,14,15M 65 O/1, 65O/2.The IRS-P6, LISS-IV geo coded Remote sensing Satellite data and the above top sheets from Survey of India (SOI) are acquired for primary analysis. Using Visual Interpretation technique different thematic maps are prepared like base map, drainage map, Geomorphology map. These thematic maps were scanned and digitized using AutoCAD and converted into GIS. Air samples are collected from sampling stations were established in the study area using this sampling analysis was carried out as per the national ambient air quality standards (NAAQS), with respect to RSPM, TSPM, NOx, Sox. Based on the above data Topology is created by linking the spatial data file and attribute data file. GIS overlay analysis derived maps has been developed like Air pollution sensitivity map, Air quality map, Dispersion sensitivity map,Aerial sensitivity Mapwas carried out to find out the above parameters pollution lodes in the study area, Finally integrating of the all the above maps based on this maps Risk area map for Air pollution activities maps has developed. This kind of studies is very useful for Pollution Prevention in industrial areas and also useful for the planners decision makers for management and monitoring of industrial areas.

关键字 空气Pollution Prevention Industrial Area Remote Sensing GIS