Volume 6, Issue 10,October 2015, Pages 191-200, Page Count - 10
APPLICATION OF CALINE 4 MODEL TO PREDICT PM2.5 CONCENTRATION AT CENTRAL SILK BOARD TRAFFIC INTERSECTION OF BANGALORE CITYB. Santhaveerana Goud (1) Sachinkumar Savadatti (2) Prathibha D (3)
(1) Professor and Former Chairman, Department of Civil Engineering, Bangalore University, Bangalore, Karnataka, India.
(2) Post Graduate Student, Department of Civil Engineering, University Visvesvaraya College of Engineering (UVCE), Bengaluru, Karnataka, India.
(3) Research Scholar, Department of Civil Engineering, University Visvesvaraya College of Engineering (UVCE), Bengaluru, Karnataka, India.
Manuscript ID:- 00000-48993
Access Type : Open Access
Read Full Article
Cite this article:B. Santhaveerana Goud,Sachinkumar Savadatti,Prathibha D, Application Of Caline 4 Model To Predict Pm2.5 Concentration At Central Silk Board Traffic Intersection Of Bangalore City, International Journal of Civil Engineering and Technology(IJCIET), 2015, 6(10), PP.191-200
Rapid growth of the vehicular population has resulted in the deterioration of environmental quality and human health in metropolitan cities. Concentrations of air pollutants at major traffic intersections are exceeding the National Ambient Air Quality Standards (NAAQS) in Bangalore. The people are exposed to higher pollution levels and facing severe respiratory diseases. Hence, an attempt was made using CALINE 4 model to estimate particulate matter (PM2.5) concentrations at traffic intersection namely, Central Silk Board, Bangalore. Traffic analysis was conducted between 6:00AM to 10:00PM. Peak flows of traffic were recorded between 8.00AM to 12.00 Noon and 4.00PM to 8.00PM. Estimated PM2.5 concentrations using CALINE 4 was ranged from 121.3µg/m3 to 403.7µg/m3 . Maximum concentrations were observed on Monday’s and Friday’s. The estimated concentrations of PM2.5 were compared with measured concentrations of KSPCB, Bangalore. Based on the comparative test (t-test) results the performance of CALINE 4 model for prediction of PM2.5 concentration is valid and can be accepted. The values of NMSE, FB, and GMB were well within the prescribed limits. Hence, CALINE 4 model is a useful tool to predict the pollutant concentrations at traffic intersections.
CALINE 4 Particulate Matter Vehicular Population Performance Evaluation.
Vehicular population Economic development Silk Board
I am thankful to Mr. M. G. Nagendra Kumar, Assistant Commissioner of Police, Traffic Management Centre, Bangalore and other staff of TMC for providing the C.C TV camera footage of the selected stations. I am also thankful to Dr. Nagappa, Scientist, KSPCB, Bangalore, for providing the necessary ambient air quality monitoring data. I am also thankful to Director, Meteorological Center, India Meteorological Department, Palace road, Bangalore for providing necessary meteorological data.
|ISSN Print: 0976-6308||ISSN Online: 0976-6316|
|Source Type: Journals||Document Type: Journal Article|
|Publication Language: English||DOI:|
|Abbreviated Journal Title: IJCIET||Access Type: Open Access|
|Publisher Name: IAEME Publication||Resource Licence: CC BY-NC|
|Major Subject:Physical Sciences||Subject Area classification: Engineering and Technology|
|Subject area: Civil and Structural Engineering||Source: SCOPEDATABASE|