The book provides a comprehensive overview of vehicular emissions modeling and its implications for air quality management. Ensuring a clear and logical flow of information will facilitate readers' understanding and engagement with the content. It delves into the realm of vehicular air dispersion modeling and emission estimation along the State Highway-5 corridor (SH-5) from Indira Chowk to Rampur, situated in Ambala Cantonment. Leveraging CALINE-4, a highway dispersion model tailored for vehicular air dispersion modeling, the study provides insights into the prediction and forecasting of CO concentrations. By meticulously collecting traffic data for both weekdays and weekends along the designated corridor and monitoring CO concentrations at the roadside, the study validates the model's efficacy. Statistical descriptors are judiciously employed to evaluate the model's performance, ensuring robustness and reliability. The book encompasses vehicular emission load and modeling for the base year 2013 and the projected year 2017, with additional analysis under management scenarios, including the integration of CNG vehicles.
Inhaltsverzeichnis (Table of Contents)
- CHAPTER 1 INTRODUCTION
- 1.1 Vehicular Pollution
- 1.2 Vehicular Pollution in India
- 1.3 Vehicular Pollution Modelling
- 1.4 Objectives of the Study
- 1.5 Organization of the Book
- CHAPTER 2 LITERATURE REVIEW
- 2.1 Modelling Studies
- 2.2 Deterministic Mathematical Models
- 2.3.1 Analytical Models
- 2.3.2 Numerical Models
- 2.3 Statistical Models
- 2.4 Physical Models
- 2.5 Urban Models
- 2.5.1 Line Source Dispersion Models
- 2.6 CALINE4 Model
- 2.7 Vehicular Emissions Related Legislations in India
- 2.8 Vehicular Emissions Norms in India
- CHAPTER 3 METHODOLOGY
- 3.1 Site Description
- 3.2 Data Collection
- 3.2.1 Traffic Data
- 3.2.2 Fuel Station Survey
- 3.2.3 Measurement of CO Concentrations and Meteorological Data
- 3.3 Vehicular Emission Load Estimation
- 3.4 CALINE4 Model Description
- 3.4.1 Input Requirements of CALINE4
- 3.5 Weighted Emission Factor
- 3.6 Model Evaluation
- CHAPTER 4 RESULTS AND DISSCUSION
- 4.1 Estimation of Vehicular Emission Load
- 4.2 Scenario Evaluation
- 4.2.1 1st Scenario: Base Year 2013 (Present Scenario)
- 4.2.2 2nd Scenario: Projected Year 2017(Without CNG)
- 4.2.3 3rd Scenario: Projected year 2017 (With 25% CNG)
- 4.2.4 Comparison of Emission Load in 2013, 2017 (Without CNG) and 2017 (With CNG)
- 4.3 Vehicular Pollution Modeling using CALINE4 Model
- 4.3.1 1st Scenario: CO Concentrations Prediction for the Base Year 2013 (Present Scenario)
- 4.3.2 2nd Scenario: CO Concentrations Prediction for the Projected Year 2017 (Without CNG)
- 4.3.3 3rd Scenario-CO Concentrations Prediction for the Projected Year 2017 (With CNG)
- 4.3.4 Comparison of Predicted CO Concentrations for the Base Year 2013, Projected Year 2017 With and Without CNG
- 4.6 Model Performance and Evaluation
- CHAPTER 5 CONCLUSION AND RECOMMENDATIONS
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This study focuses on the impact of vehicular emissions on air quality in urban areas, particularly along the SH-5 state highway corridor in Ambala Cantonment, India. The primary objective is to evaluate the effectiveness of air dispersion models, specifically CALINE-4, for predicting CO concentrations along the corridor. The study also aims to assess the emission load from vehicular traffic and analyze the impact of various mitigation strategies, such as the introduction of CNG vehicles, on air quality.- Vehicular Emission Load Estimation
- Air Dispersion Modelling using CALINE-4
- Impact of CNG Vehicle Implementation on Air Quality
- Model Performance Evaluation and Validation
- Comparison with National Ambient Air Quality Standards (NAAQS)
Zusammenfassung der Kapitel (Chapter Summaries)
- Chapter 1: Introduction - This chapter introduces the problem of vehicular pollution in urban areas, particularly in developing countries like India. It highlights the importance of air quality prediction and forecasting tools to manage air pollution and outlines the study's objectives and organization.
- Chapter 2: Literature Review - This chapter explores previous research on vehicular pollution modeling, highlighting different types of models, including deterministic, statistical, and physical models. It specifically focuses on the CALINE4 model and its application in urban environments. It also examines vehicular emissions regulations and norms in India.
- Chapter 3: Methodology - This chapter details the methodology used in the study, including site description, data collection (traffic data, fuel station survey, CO concentration measurements), vehicular emission load estimation, and the description of the CALINE4 model. It also explains the input requirements and model evaluation techniques.
- Chapter 4: Results and Discussion - This chapter presents the results of the emission load estimations, scenario evaluation, and CO concentration predictions using the CALINE4 model. It discusses the impact of different scenarios, including the base year 2013, projected year 2017 with and without CNG vehicles, on the emission load and air quality. The chapter also analyzes the model's performance and compares the predicted CO concentrations with monitored values and NAAQS.
Schlüsselwörter (Keywords)
This research focuses on the impact of vehicular emissions on urban air quality, specifically in the context of developing countries. It utilizes CALINE-4 as an air dispersion model to predict CO concentrations and assess the efficacy of various mitigation strategies, such as CNG vehicle implementation. Key themes include traffic data analysis, emission load estimation, air quality modeling, model validation, and the comparison of predicted CO concentrations with NAAQS.- Quote paper
- Dr. Chadetrik Rout (Author), Dr. Bikram Jit Singh (Author), 2024, Roads to Sustainability: Modeling Vehicular Emissions along Urban Highways, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/1473993