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Publisher: Inderscience Publishers   (Total: 443 journals)

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Showing 1 - 200 of 443 Journals sorted alphabetically
African J. of Accounting, Auditing and Finance     Hybrid Journal   (Followers: 13)
African J. of Economic and Sustainable Development     Hybrid Journal   (Followers: 14)
Afro-Asian J. of Finance and Accounting     Hybrid Journal   (Followers: 8, SJR: 0.195, CiteScore: 0)
American J. of Finance and Accounting     Hybrid Journal   (Followers: 23)
Asian J. of Management Science and Applications     Hybrid Journal   (Followers: 4)
Atoms for Peace: an Intl. J.     Hybrid Journal   (Followers: 3)
Electronic Government, an Intl. J.     Hybrid Journal   (Followers: 17, SJR: 0.424, CiteScore: 1)
EuroMed J. of Management     Hybrid Journal  
European J. of Cross-Cultural Competence and Management     Hybrid Journal   (Followers: 7)
European J. of Industrial Engineering     Hybrid Journal   (Followers: 10, SJR: 0.595, CiteScore: 1)
European J. of Intl. Management     Hybrid Journal   (Followers: 2, SJR: 0.3, CiteScore: 1)
Global Business and Economics Review     Hybrid Journal   (Followers: 3, SJR: 0.154, CiteScore: 0)
Interdisciplinary Environmental Review     Hybrid Journal   (Followers: 3)
Intl. J. of Abrasive Technology     Hybrid Journal   (Followers: 2, SJR: 0.279, CiteScore: 0)
Intl. J. of Accounting and Finance     Hybrid Journal   (Followers: 18)
Intl. J. of Accounting, Auditing and Performance Evaluation     Hybrid Journal   (Followers: 16, SJR: 0.14, CiteScore: 0)
Intl. J. of Ad Hoc and Ubiquitous Computing     Hybrid Journal   (Followers: 8, SJR: 0.21, CiteScore: 1)
Intl. J. of Adaptive and Innovative Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Additive and Subtractive Materials Manufacturing     Hybrid Journal   (Followers: 5)
Intl. J. of Advanced Intelligence Paradigms     Hybrid Journal   (Followers: 5, SJR: 0.144, CiteScore: 1)
Intl. J. of Advanced Mechatronic Systems     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Advanced Media and Communication     Hybrid Journal   (Followers: 26, SJR: 0.124, CiteScore: 0)
Intl. J. of Advanced Operations Management     Hybrid Journal   (Followers: 9, SJR: 0.163, CiteScore: 0)
Intl. J. of Aerodynamics     Hybrid Journal   (Followers: 32)
Intl. J. of Agent-Oriented Software Engineering     Hybrid Journal   (Followers: 3)
Intl. J. of Agile and Extreme Software Development     Hybrid Journal   (Followers: 5)
Intl. J. of Agile Systems and Management     Hybrid Journal   (Followers: 5, SJR: 0.878, CiteScore: 3)
Intl. J. of Agricultural Resources, Governance and Ecology     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Agriculture Innovation, Technology and Globalisation     Hybrid Journal  
Intl. J. of Alternative Propulsion     Hybrid Journal   (Followers: 14)
Intl. J. of Applied Cryptography     Hybrid Journal   (Followers: 9, SJR: 0.455, CiteScore: 3)
Intl. J. of Applied Decision Sciences     Hybrid Journal   (Followers: 1, SJR: 0.275, CiteScore: 1)
Intl. J. of Applied Management Science     Hybrid Journal   (Followers: 4, SJR: 0.229, CiteScore: 0)
Intl. J. of Applied Nonlinear Science     Hybrid Journal   (Followers: 1)
Intl. J. of Applied Pattern Recognition     Hybrid Journal   (Followers: 8)
Intl. J. of Applied Systemic Studies     Hybrid Journal   (SJR: 0.129, CiteScore: 0)
Intl. J. of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 7)
Intl. J. of Artificial Intelligence and Soft Computing     Hybrid Journal   (Followers: 11)
Intl. J. of Arts and Technology     Hybrid Journal   (Followers: 6, SJR: 0.225, CiteScore: 1)
Intl. J. of Auditing Technology     Hybrid Journal   (Followers: 5)
Intl. J. of Automation and Control     Hybrid Journal   (Followers: 11, SJR: 0.189, CiteScore: 1)
Intl. J. of Automation and Logistics     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Composites     Hybrid Journal   (Followers: 5)
Intl. J. of Automotive Technology and Management     Hybrid Journal   (Followers: 6, SJR: 0.374, CiteScore: 1)
Intl. J. of Autonomic Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Autonomous and Adaptive Communications Systems     Hybrid Journal   (Followers: 3, SJR: 0.128, CiteScore: 0)
Intl. J. of Aviation Management     Hybrid Journal   (Followers: 7)
Intl. J. of Banking, Accounting and Finance     Hybrid Journal   (Followers: 16, SJR: 0.137, CiteScore: 0)
Intl. J. of Behavioural Accounting and Finance     Hybrid Journal   (Followers: 11)
Intl. J. of Behavioural and Healthcare Research     Hybrid Journal   (Followers: 8)
Intl. J. of Bibliometrics in Business and Management     Hybrid Journal   (Followers: 2)
Intl. J. of Big Data Intelligence     Hybrid Journal   (Followers: 24)
Intl. J. of Bio-Inspired Computation     Hybrid Journal   (Followers: 1, SJR: 0.721, CiteScore: 4)
Intl. J. of Bioinformatics Research and Applications     Hybrid Journal   (Followers: 16, SJR: 0.157, CiteScore: 0)
Intl. J. of Biomechatronics and Biomedical Robotics     Hybrid Journal   (Followers: 4)
Intl. J. of Biomedical Engineering and Technology     Hybrid Journal   (Followers: 5, SJR: 0.205, CiteScore: 1)
Intl. J. of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 7)
Intl. J. of Biometrics     Hybrid Journal   (Followers: 5, SJR: 0.155, CiteScore: 0)
Intl. J. of Biotechnology     Hybrid Journal   (Followers: 6, SJR: 0.269, CiteScore: 1)
Intl. J. of Blockchains and Cryptocurrencies     Hybrid Journal  
Intl. J. of Bonds and Derivatives     Hybrid Journal   (Followers: 1)
Intl. J. of Business and Data Analytics     Hybrid Journal  
Intl. J. of Business and Emerging Markets     Hybrid Journal   (Followers: 2)
Intl. J. of Business and Globalisation     Hybrid Journal   (Followers: 3, SJR: 0.263, CiteScore: 1)
Intl. J. of Business and Systems Research     Hybrid Journal   (Followers: 1, SJR: 0.104, CiteScore: 0)
Intl. J. of Business Competition and Growth     Hybrid Journal   (Followers: 5)
Intl. J. of Business Continuity and Risk Management     Hybrid Journal   (Followers: 15)
Intl. J. of Business Environment     Hybrid Journal   (Followers: 3)
Intl. J. of Business Excellence     Hybrid Journal   (Followers: 4, SJR: 0.274, CiteScore: 1)
Intl. J. of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 6)
Intl. J. of Business Governance and Ethics     Hybrid Journal   (Followers: 6, SJR: 0.171, CiteScore: 0)
Intl. J. of Business Information Systems     Hybrid Journal   (Followers: 17, SJR: 0.266, CiteScore: 1)
Intl. J. of Business Innovation and Research     Hybrid Journal   (Followers: 11, SJR: 0.28, CiteScore: 1)
Intl. J. of Business Intelligence and Data Mining     Hybrid Journal   (Followers: 30, SJR: 0.249, CiteScore: 2)
Intl. J. of Business Intelligence and Systems Engineering     Hybrid Journal  
Intl. J. of Business Performance and Supply Chain Modelling     Hybrid Journal   (Followers: 18, SJR: 0.18, CiteScore: 0)
Intl. J. of Business Performance Management     Hybrid Journal   (Followers: 9, SJR: 0.197, CiteScore: 1)
Intl. J. of Business Process Integration and Management     Hybrid Journal   (Followers: 12, SJR: 0.149, CiteScore: 1)
Intl. J. of Chinese Culture and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Circuits and Architecture Design     Hybrid Journal   (Followers: 6)
Intl. J. of Cloud Computing     Hybrid Journal   (Followers: 25)
Intl. J. of Cognitive Biometrics     Hybrid Journal   (Followers: 3)
Intl. J. of Cognitive Performance Support     Hybrid Journal   (Followers: 4)
Intl. J. of Collaborative Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Collaborative Enterprise     Hybrid Journal   (Followers: 1)
Intl. J. of Collaborative Intelligence     Hybrid Journal   (Followers: 3)
Intl. J. of Communication Networks and Distributed Systems     Hybrid Journal   (Followers: 7, SJR: 0.177, CiteScore: 1)
Intl. J. of Comparative Management     Hybrid Journal  
Intl. J. of Competitiveness     Hybrid Journal   (Followers: 3)
Intl. J. of Complexity in Applied Science and Technology     Hybrid Journal  
Intl. J. of Complexity in Leadership and Management     Hybrid Journal   (Followers: 28)
Intl. J. of Computational Biology and Drug Design     Hybrid Journal   (Followers: 1, SJR: 0.231, CiteScore: 1)
Intl. J. of Computational Complexity and Intelligent Algorithms     Hybrid Journal   (Followers: 2)
Intl. J. of Computational Economics and Econometrics     Hybrid Journal   (Followers: 5)
Intl. J. of Computational Intelligence in Bioinformatics and Systems Biology     Hybrid Journal   (Followers: 13)
Intl. J. of Computational Intelligence Studies     Hybrid Journal   (Followers: 3)
Intl. J. of Computational Materials Science and Surface Engineering     Hybrid Journal   (Followers: 6, SJR: 0.135, CiteScore: 0)
Intl. J. of Computational Science and Engineering     Hybrid Journal   (Followers: 2, SJR: 0.373, CiteScore: 1)
Intl. J. of Computational Systems Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Computational Vision and Robotics     Hybrid Journal   (Followers: 5, SJR: 0.129, CiteScore: 0)
Intl. J. of Computer Aided Engineering and Technology     Hybrid Journal   (Followers: 3, SJR: 0.131, CiteScore: 0)
Intl. J. of Computer Applications in Technology     Hybrid Journal   (Followers: 1, SJR: 0.225, CiteScore: 1)
Intl. J. of Computers in Healthcare     Hybrid Journal   (Followers: 3)
Intl. J. of Computing Science and Mathematics     Hybrid Journal   (Followers: 1, SJR: 0.299, CiteScore: 1)
Intl. J. of Continuing Engineering Education and Life-Long Learning     Hybrid Journal   (Followers: 5, SJR: 0.196, CiteScore: 0)
Intl. J. of Convergence Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Corporate Governance     Hybrid Journal   (Followers: 5)
Intl. J. of Corporate Strategy and Social Responsibility     Hybrid Journal   (Followers: 6)
Intl. J. of Creative Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Critical Accounting     Hybrid Journal   (Followers: 3)
Intl. J. of Critical Computer-Based Systems     Hybrid Journal   (Followers: 1, SJR: 0.127, CiteScore: 0)
Intl. J. of Critical Infrastructures     Hybrid Journal   (Followers: 2, SJR: 0.173, CiteScore: 1)
Intl. J. of Data Analysis Techniques and Strategies     Hybrid Journal   (Followers: 17, SJR: 0.23, CiteScore: 0)
Intl. J. of Data Mining and Bioinformatics     Hybrid Journal   (Followers: 19, SJR: 0.217, CiteScore: 1)
Intl. J. of Data Mining, Modelling and Management     Hybrid Journal   (Followers: 14, SJR: 0.209, CiteScore: 0)
Intl. J. of Data Science     Hybrid Journal   (Followers: 10)
Intl. J. of Decision Sciences, Risk and Management     Hybrid Journal   (Followers: 9)
Intl. J. of Decision Support Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Design Engineering     Hybrid Journal   (Followers: 12)
Intl. J. of Digital Culture and Electronic Tourism     Hybrid Journal   (Followers: 6)
Intl. J. of Digital Enterprise Technology     Hybrid Journal   (Followers: 1)
Intl. J. of Digital Signals and Smart Systems     Hybrid Journal   (Followers: 2)
Intl. J. of Diplomacy and Economy     Hybrid Journal   (Followers: 6)
Intl. J. of Dynamical Systems and Differential Equations     Hybrid Journal   (Followers: 1, SJR: 0.184, CiteScore: 0)
Intl. J. of Earthquake and Impact Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Economic Policy in Emerging Economies     Hybrid Journal   (Followers: 4, SJR: 0.134, CiteScore: 1)
Intl. J. of Economics and Accounting     Hybrid Journal   (Followers: 1)
Intl. J. of Economics and Business Research     Hybrid Journal   (Followers: 5, SJR: 0.129, CiteScore: 0)
Intl. J. of Education Economics and Development     Hybrid Journal   (Followers: 5, SJR: 0.156, CiteScore: 0)
Intl. J. of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 10, SJR: 0.225, CiteScore: 1)
Intl. J. of Electronic Banking     Hybrid Journal   (Followers: 5)
Intl. J. of Electronic Business     Hybrid Journal   (Followers: 2, SJR: 0.24, CiteScore: 0)
Intl. J. of Electronic Customer Relationship Management     Hybrid Journal   (Followers: 3, SJR: 0.148, CiteScore: 0)
Intl. J. of Electronic Democracy     Hybrid Journal   (Followers: 2)
Intl. J. of Electronic Finance     Hybrid Journal   (Followers: 5, SJR: 0.155, CiteScore: 0)
Intl. J. of Electronic Governance     Hybrid Journal   (SJR: 0.142, CiteScore: 1)
Intl. J. of Electronic Healthcare     Hybrid Journal   (Followers: 2, SJR: 0.254, CiteScore: 1)
Intl. J. of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 7, SJR: 0.249, CiteScore: 1)
Intl. J. of Electronic Security and Digital Forensics     Hybrid Journal   (Followers: 8, SJR: 0.137, CiteScore: 0)
Intl. J. of Electronic Transport     Hybrid Journal   (Followers: 9)
Intl. J. of Embedded Systems     Hybrid Journal   (Followers: 5, SJR: 0.48, CiteScore: 1)
Intl. J. of Emergency Management     Hybrid Journal   (Followers: 11, SJR: 0.185, CiteScore: 0)
Intl. J. of Energy Technology and Policy     Hybrid Journal   (Followers: 7, SJR: 0.224, CiteScore: 0)
Intl. J. of Engineering Management and Economics     Hybrid Journal   (Followers: 4)
Intl. J. of Engineering Systems Modelling and Simulation     Hybrid Journal   (Followers: 8, SJR: 0.175, CiteScore: 0)
Intl. J. of Enterprise Network Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1, SJR: 0.308, CiteScore: 1)
Intl. J. of Entrepreneurship and Innovation Management     Hybrid Journal   (Followers: 29, SJR: 0.255, CiteScore: 1)
Intl. J. of Entrepreneurship and Small Business     Hybrid Journal   (Followers: 30, SJR: 0.401, CiteScore: 1)
Intl. J. of Environment and Health     Hybrid Journal   (Followers: 5, SJR: 0.181, CiteScore: 0)
Intl. J. of Environment and Pollution     Hybrid Journal   (Followers: 2, SJR: 0.215, CiteScore: 1)
Intl. J. of Environment and Sustainable Development     Hybrid Journal   (Followers: 17, SJR: 0.132, CiteScore: 0)
Intl. J. of Environment and Waste Management     Hybrid Journal   (Followers: 4, SJR: 0.175, CiteScore: 0)
Intl. J. of Environment, Workplace and Employment     Hybrid Journal   (Followers: 6, SJR: 0.117, CiteScore: 0)
Intl. J. of Environmental Engineering     Hybrid Journal   (Followers: 6)
Intl. J. of Environmental Policy and Decision Making     Hybrid Journal   (Followers: 2)
Intl. J. of Environmental Technology and Management     Hybrid Journal   (Followers: 1, SJR: 0.141, CiteScore: 0)
Intl. J. of Exergy     Hybrid Journal   (Followers: 3, SJR: 0.396, CiteScore: 1)
Intl. J. of Experimental and Computational Biomechanics     Hybrid Journal   (Followers: 8)
Intl. J. of Experimental Design and Process Optimisation     Hybrid Journal   (Followers: 7)
Intl. J. of Export Marketing     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Engineering and Risk Management     Hybrid Journal   (Followers: 4)
Intl. J. of Financial Innovation in Banking     Hybrid Journal   (Followers: 3)
Intl. J. of Financial Markets and Derivatives     Hybrid Journal   (Followers: 5)
Intl. J. of Financial Services Management     Hybrid Journal   (Followers: 1)
Intl. J. of Food Safety, Nutrition and Public Health     Hybrid Journal   (Followers: 21)
Intl. J. of Forensic Engineering     Hybrid Journal   (Followers: 3)
Intl. J. of Forensic Engineering and Management     Hybrid Journal   (Followers: 3)
Intl. J. of Foresight and Innovation Policy     Hybrid Journal   (Followers: 7, SJR: 0.115, CiteScore: 0)
Intl. J. of Functional Informatics and Personalised Medicine     Hybrid Journal   (Followers: 4)
Intl. J. of Fuzzy Computation and Modelling     Hybrid Journal   (Followers: 2)
Intl. J. of Gender Studies in Developing Societies     Hybrid Journal   (Followers: 5)
Intl. J. of Global Energy Issues     Hybrid Journal   (Followers: 8, SJR: 0.199, CiteScore: 0)
Intl. J. of Global Environmental Issues     Hybrid Journal   (Followers: 3, SJR: 0.153, CiteScore: 0)
Intl. J. of Global Warming     Hybrid Journal   (Followers: 2, SJR: 0.259, CiteScore: 1)
Intl. J. of Globalisation and Small Business     Hybrid Journal   (Followers: 14, SJR: 0.233, CiteScore: 1)
Intl. J. of Governance and Financial Intermediation     Hybrid Journal  
Intl. J. of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 3)
Intl. J. of Green Economics     Hybrid Journal   (Followers: 6, SJR: 0.209, CiteScore: 0)
Intl. J. of Grid and Utility Computing     Hybrid Journal   (SJR: 0.341, CiteScore: 2)
Intl. J. of Happiness and Development     Hybrid Journal   (Followers: 8)
Intl. J. of Healthcare Policy     Hybrid Journal  
Intl. J. of Healthcare Technology and Management     Hybrid Journal   (Followers: 7, SJR: 0.139, CiteScore: 0)
Intl. J. of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7, SJR: 0.23, CiteScore: 0)
Intl. J. of High Performance Computing and Networking     Hybrid Journal   (Followers: 4, SJR: 0.428, CiteScore: 1)
Intl. J. of High Performance Systems Architecture     Hybrid Journal   (Followers: 6, SJR: 0.116, CiteScore: 0)
Intl. J. of Higher Education and Sustainability     Hybrid Journal   (Followers: 5)
Intl. J. of Hospitality and Event Management     Hybrid Journal   (Followers: 4)
Intl. J. of Human Factors and Ergonomics     Hybrid Journal   (Followers: 20, SJR: 0.117, CiteScore: 0)
Intl. J. of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 17)
Intl. J. of Human Resources Development and Management     Hybrid Journal   (Followers: 29, SJR: 0.162, CiteScore: 0)
Intl. J. of Human Rights and Constitutional Studies     Hybrid Journal   (Followers: 14)
Intl. J. of Humanitarian Technology     Hybrid Journal  
Intl. J. of Hybrid Intelligence     Hybrid Journal  
Intl. J. of Hydrology Science and Technology     Hybrid Journal   (Followers: 8, SJR: 0.43, CiteScore: 2)
Intl. J. of Hydromechatronics     Hybrid Journal  
Intl. J. of Image Mining     Hybrid Journal   (Followers: 1)
Intl. J. of Immunological Studies     Hybrid Journal   (Followers: 1)
Intl. J. of Indian Culture and Business Management     Hybrid Journal  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.34, CiteScore: 1)

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Similar Journals
Journal Cover
International Journal of Environment and Pollution
Journal Prestige (SJR): 0.215
Citation Impact (citeScore): 1
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0957-4352 - ISSN (Online) 1741-5101
Published by Inderscience Publishers Homepage  [443 journals]
  • Influence of vehicle-induced turbulence on pollutant dispersion in street
           canyon and adjacent urban area
    • Authors: Jiri Pospisil, Miroslav Jicha
      Pages: 89 - 101
      Abstract: This paper presents an assessment of an influence of turbulence intensity in the close vicinity of a linear source of pollution on the consequent process of air pollutant dispersion. Turbulent flow structure in the vicinity of vehicles in motion significantly influences the dispersion of air pollutants generated by road traffic into the environment of a traffic path. The detailed investigation of a cross-section vortex in the street canyon is done by the computational parametrical study. Vehicles' motion along the traffic path has been considered as an input parameter for the consequent quantification of the kinetic energy of turbulence generation above the road. The influence of generated kinetic energy of turbulence by a linear road on the concentration of PM10 at receptor points located in the studied area is obtained by using the mathematical modelling method CFD.
      Keywords: air pollution; modelling; kinetic energy of turbulence
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 89 - 101
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089400
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Application of a photochemical model for the assessment of regional air
           quality in Southern Italy: procedures and results
    • Authors: Annalisa Tanzarella, Ilenia Schipa, Angela Morabito, Camillo Silibello, Roberto Giua, Giorgio Assennato
      Pages: 102 - 126
      Abstract: A modelling system based on FARM chemical transport model is applied to assess the air quality (AQ) over the Apulia region (Southern Italy) for 2013. The most relevant pollutant sources in the region are a steel plant, the largest in Europe (in the Taranto area), a coal fired power plant, the second most powerful in Italy (in the Brindisi area) and biomass burning for residential heating. Simulation results indicate exceedances for PM<SUB align="right">10 daily limit value and benzo(a)pyrene (B(a)P) annual limit values occurring in some areas. The evaluation of the model performance has been conducted by using the software DELTA Tool, developed within FAIRMODE to support the application of the EU Air Quality Directive. Results show good performance of the model, with a tendency to underestimate PM<SUB align="right">10 and O<SUB align="right">3 levels. These results suggest the use of this modelling strategy for further source apportionment studies, in order to identify the sources that mainly affect air quality and to implement proper emission control strategies.
      Keywords: air quality assessment; photochemical model; model evaluation tool; performance criteria; Italy
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 102 - 126
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089401
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Evaluation and development of tools to quantify the impacts of roadside
           vegetation barriers on near-road air quality
    • Authors: Vlad Isakov, Akula Venkatram, Richard Baldauf, Parikshit Deshmukh, Max Zhang
      Pages: 127 - 135
      Abstract: Traffic emissions are associated with the elevation of health risks of people living close to highways. Roadside vegetation barriers have the potential of reducing these risks by decreasing near-road air pollution concentrations. However, while we understand the mechanisms that determine the mitigation caused by solid barriers, we still have questions about how vegetative barriers affect dispersion. The US EPA conducted several field experiments to understand the effects of vegetation barriers on dispersion of pollutants near roadways (e.g., 2008 North Carolina study and 2014 California study) that indicate the reduction of near-road pollutant concentrations can be up to 30% due to the barrier effects. The results of these field studies are being used to develop and evaluate dispersion models that account for the effects of near-road vegetative barriers. These models can be used for evaluating the effectiveness of vegetation barriers as a potential mitigation strategy to reduce exposure to traffic-related pollutants and their associated adverse health effects. This paper presents the results of the analysis of the field studies and discusses dispersion models being used to describe the data in order to simulate the effects of near-road barriers and to develop recommendations for model improvements.
      Keywords: roadways; barriers; vegetation; dispersion; models
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 127 - 135
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089402
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Analysis of the internal boundary layer formation on tropical coastal
           regions using SODAR data in Rio de Janeiro (Brazil)
    • Authors: Leonardo Aragão Ferreira Da Silva, Silvana Di Sabatino, Luiz Claudio Gomes Pimentel, Fernando Pereira Duda
      Pages: 136 - 154
      Abstract: This paper investigates local circulation features in the industrialised coastal region of Santa Cruz, Rio de Janeiro, Brazil. A better understanding of local circulation affects directly the choice of suitable dispersion models and/or development of new ones to plan mitigation strategies to reduce air pollution in the area. The topographic characteristics and the variety of atmospheric phenomena acting over the area suggest the formation of internal boundary layers (IBLs) during cold front and bay breeze flows with direction upstream of the major industries. Vertical profiles of main meteorological variables are evaluated together with surface weather stations and satellite data to derive a detailed physics-based description of the various stages of bay breeze in terms of the main forces, duration, and atmospheric stabilities. It is found that the development phase of the sea breeze coincides with the largest bay/land differences and, consequently, it is the most pronounced condition to observe the IBL formation.
      Keywords: sea breeze; acoustic soundings; sonic detection and ranging; SODAR; vertical profiles; internal boundary layer; IBL; tropical meteorology
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 136 - 154
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089403
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Simulating large emitters using CMAQ and a local scale finite element
           model. Analysis of the surroundings of Barcelona
    • Authors: Albert Oliver, Raúl Arasa, Agustí Pérez-Foguet, Mª Ángeles González
      Pages: 155 - 183
      Abstract: In this work, we present a novel approach to simulate large emitters in the microscale. The main idea is to combine a nested grid approach and a finite element model to simulate the subgrid scale. The nested grid system consists of the mesoscale meteorological model WRF-ARW, the Air Emission Model of Meteosim (AEMM), and the air quality model CMAQ. The subgrid scale is simulated using an adaptive, Eulerian, non-steady finite element model. The results from the nested grid simulation are used as initial and boundary conditions in the subgrid model, making this approach one-way. A simulation has been carried out in the surroundings of Barcelona, where an important contributor to the sulphur dioxide levels is considered. The simulations were carried out for one episode with high levels of sulphur dioxide. The time period of the simulation was 48 hours with a 24-hour spin-up.
      Keywords: air quality modelling; subgrid scale plume modelling; nested grid modelling; plume-in-grid; microscale; plume rise; weather research and forecasting model; Air Emission Model of Meteosim; community multi-scale air quality; finite element
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 155 - 183
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089404
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Lagrangian simulations of the plume rise in strong capping inversion
    • Authors: Enrico Ferrero, Stefano Alessandrini, Domenico Anfossi
      Pages: 184 - 199
      Abstract: We have performed new investigations applying our Lagrangian algorithm described by Alessandrini et al. (2013) to simulate the plume rise in a convective boundary layer capped by a strong inversion layer. We tested our model with the results of a water tank experiment (Weil et al., 2002). For each case, we compared the simulated and measured mean height, horizontal and vertical plume standard deviations and the entrapment (the fraction of the plume that remains captured above the temperature inversion layer located at the top of the boundary layer). The results show that the model is able to reproduce the main characteristics of the plume accurately.
      Keywords: Lagrangian model; plume rise; entrapment
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 184 - 199
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089405
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Model chain for buoyant plume dispersion
    • Authors: Andrea Bisignano, Luca Mortarini, Enrico Ferrero, Stefano Alessandrini
      Pages: 200 - 213
      Abstract: A new original software interface between the WRF mesoscale meteorological model and the SPRAYWEB dispersion model has been developed. The model chain was designed such a highly responsive tool for risk assessment and emergency-response purposes. The model interface reads the wind and temperature fields provided by WRF and interpolates them on a fixed-in-time grid, which is the input to the dispersion model. Furthermore, it calculates the turbulence-parameter vertical profiles, based on the surface-layer data provided by WRF. In this work we simulate the dispersion of a high-buoyancy plume. The model chain performances were tested against the Bull-Run dataset.
      Keywords: Lagrangian model; pollution dispersion; plume rise
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 200 - 213
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089406
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • New power law inflow boundary conditions for street scale modelling
    • Authors: Vasilis Akylas, Fotios Barmpas, Nicolas Moussiopoulos, George Tsegas
      Pages: 214 - 235
      Abstract: In street scale numerical simulations utilising computational fluid dynamics (CFD) models, normally the inlet flow should preserve the horizontal homogeneity upstream and downstream of the area where the resolved obstacles reside. Hence, the vertical profiles of the main atmospheric flow quantities must comply with the roughness characteristics of the ground surface. Horizontally homogenous boundary conditions do not normally agree with field measurements while at the same time the profiles obtained by measurements do not preserve the homogeneity of the flow. As a result, in recent years alternative sets of boundary conditions have been proposed in order to bridge the gap between real life vertical profiles of the atmospheric boundary layer and those applied as input boundary conditions for modelling purposes. In the present study, the homogeneity of the boundary conditions is addressed by applying the power law for the mean wind speed to obtain the appropriate vertical profiles.
      Keywords: atmospheric boundary layer; ABL; computational fluid dynamics; CFD; boundary conditions; microscale; power law; street scale modelling
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 214 - 235
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089407
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Validation of meteorological forecasts in fine spatial and temporal
           resolution produced as an input for dispersion models
    • Authors: Primož Mlakar, Dragana Kokal, BoÅ¡tjan GraÅ¡ič, Marija Zlata Božnar, Dejan GradiÅ¡ar, JuÅ¡ Kocijan
      Pages: 236 - 246
      Abstract: In conditions of complex terrain, modelling of air pollutant dispersion still has a number of scientific challenges. Ideally, appropriate meteorological data should be available for modelling. Unfortunately, for many purposes, there is no time to carry out suitable measuring campaigns. Therefore the results of prognostic weather forecasts (NWP models) are being widely used. However, these models still have quite a few disadvantages when their results are used as input for dispersion models over complex terrain. This study presents the validation of the quality of the weather forecasts in the surroundings of the Nuclear Power Plant Krško in Slovenia, an area with highly complex terrain and the resulting complex meteorological characteristics. The forecast is available for a horizontal resolution of 2 km and half hour temporal interval and seven days in advance. The predicted meteorological parameters are validated using the measured meteorological parameters.
      Keywords: validation; weather forecast; fine spatial and temporal resolution; complex terrain
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 236 - 246
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089409
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • A review of dispersion modelling of agricultural emissions with
           non-point sources
    • Authors: Jenny Stocker, Andrew Ellis, Steve Smith, David Carruthers, Akula Venkatram, William Dale, Mark Attree
      Pages: 247 - 263
      Abstract: This paper presents a review of pollutant dispersion modelling from non-point sources, focused on agricultural and bioaerosol sources. Relevant non-point source characteristics were collated from a literature review. These values were used to describe a 'typical' agricultural source using line, area, volume and jet source types in the plume dispersion models ADMS and AERMOD; predicted downwind pollutant concentrations are compared. The modelling shows that predicted ground-level concentrations beyond approximately 100 m downwind are similar for the majority of non-point source types. ADMS and AERMOD were used to represent releases from four sheds housing intensively farmed poultry as a case study. When the emission and volume flow rates used in the modelling were derived from measurements, the models give reasonably accurate predictions. However for releases with non-negligible efflux, modelling using non-point sources allowing for the momentum and buoyancy of the release has much better agreement with observations than those that do not.
      Keywords: dispersion; ammonia; odour; non-point sources; agriculture; poultry; ADMS; AERMOD
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 247 - 263
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089410
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Time scale analysis of chemically reactive pollutants over urban roughness
           in the atmospheric boundary layer
    • Authors: Zhangquan Wu, Chun-Ho Liu
      Pages: 264 - 273
      Abstract: Most practical dispersion models assume inert pollutants but air pollutants are often chemically reactive. There is thus a need for including pollution chemistry in plume dispersion models. In this study, turbulent dispersion of reactive pollutants in the neutral atmospheric boundary layer (ABL) over hypothetical urban area in the form of an array of idealised street canyons is investigated using large-eddy simulation (LES). Nitric oxide (NO) is emitted from the first street canyon into the urban ABL, mixes with ozone (O<SUB align="right">3) and produces nitrogen dioxide (NO<SUB align="right">2) to model bimolecular chemical reaction. The time scales of NO oxidation and dispersion are compared in details. It is found that they are coupled with each other and so collectively modify the dispersion coefficient.
      Keywords: air quality; dispersion coefficient; hypothetical urban areas; large-eddy simulation; LES; reactive plume dispersion
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 264 - 273
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089411
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Application of inverse dispersion modelling for the determination of PM
           emission factors from fugitive dust sources in open-pit lignite mines
    • Authors: Athanasios Triantafyllou, Nicolas Moussiopoulos, ?thina Krestou, George Tsegas, Fotios Barmpas, Stelios Garas, ?elina Andreadou
      Pages: 274 - 290
      Abstract: The operation of large open-pit lignite mines represents a significant source of fugitive dust emissions connected to energy production. Emission inventories can be used to provide operational estimates of the total dust burden in the surrounding areas attributable to mining operations. In this work, a methodology based on the inverse dispersion modelling approach, combining two different dispersion models, is used for preparing a dust emissions inventory for several activity types in the lignite mines of Western Macedonia, Greece. A three-year campaign of field measurement experiments provides the necessary meteorological data and upwind-downwind concentration levels in the area of each activity. A comparison of calculated emission rates provided by the two dispersion models indicates a very good agreement, while the normalised downwind concentration timeseries are accurately reproduced. Emission factors are calculated for each experiment and per-activity, leading to the formulation of empirical relations for the total fugitive dust emissions.
      Keywords: inverse dispersion modelling; IDM; fugitive dust sources; emission factor; open pit mines
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 274 - 290
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089412
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Pollutant removal mechanism in two-dimensional street canyons: a
           laboratory study
    • Authors: Annalisa Di Bernardino, Paolo Monti, Giovanni Leuzzi, Giorgio Querzoli
      Pages: 291 - 304
      Abstract: Velocity and concentration fields have been measured simultaneously in the water channel to quantify the turbulent dispersion of a passive tracer emitted at street level by a line source within an idealised urban canyon. The experiment has been conducted for an arrangement of two-dimensional obstacles with aspect ratio unity. Statistical moments of velocity and concentration have been calculated with high spatial resolution. Furthermore, the simultaneous measure of velocity and concentration at the same point made it possible to determine the tracer flux in the whole domain as well as to quantify the removal and re-entrainment of the pollutant through the canyon top.
      Keywords: street canyon; concentration flux; concentration peaks; water channel; line source; building; urban canopy; skimming flow; image analysis; planar laser-induced fluorescence; PLIF
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 291 - 304
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089415
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Definition of typical-day dispersion patterns as a consequence of a
           hazardous release
    • Authors: Stefano Alessandrini, François Vandenberghe, Joshua P. Hacker
      Pages: 305 - 318
      Abstract: Self-organising maps (SOMs) are used to extract typical days from a 30-year long record of 24-hour meteorology and concentration fields. The proposed methodology provides information regarding the probability of a typical time evolution of the concentration patterns (typical days), which could be important when estimating a priori the impact of a potential release of toxic substances. We have run the weather and research forecasting (WRF) model for a defined given month over a 30-year period to generate the required input for the second-order closure integrated puff diffusion model (SCIPUFF). An array for each day including the wind components, boundary layer height and integrated concentration over 24 hours at all the grid points is input to the SOM to perform an iterative learning process. The result is a number of typical days associated with different probabilities of occurrence. An assessment of the performance and reliability of this approach is presented.
      Keywords: self-organising maps; SOMs; typical days; dispersion of hazardous materials; weather forecasting and research model
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 305 - 318
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089416
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Community multi-scale air quality atmospheric dispersion model
           adaptation for Hungary
    • Authors: Dóra Lázár, Tamás Weidinger
      Pages: 319 - 346
      Abstract: In recent years, it has become increasingly important to measure and predict the concentration of harmful atmospheric pollutants such as dust, aerosol particles, nitrogen compounds, and ozone. By adapting the CMAQ model, we have implemented a coupled air quality-meteorological environmental model system, primarily for the representation of atmospheric ozone in Hungary. We used the WRF model in order to generate the meteorological driver database and so-called SMOKE model for the construction of the input emission database. Our model system is separately run on three-levels of a one-way nested grid with spacing of 108/36/12 km. We studied ozone forecasts based on different model settings and transition time using several verification methods. This paper presents the outline of the project work and the first results of concentration calculations compared to national ambient air station data. Our results show that the night time concentration of ozone is overestimated in our adapted model system.
      Keywords: air-quality modelling; ozone; community multi-scale air quality; CMAQ; SMOKE; WRF; emission; model adaptation; Hungary
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 319 - 346
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089417
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • The air quality in narrow two-dimensional urban canyons with pitched
           and flat roof buildings
    • Authors: Simone Ferrari, Maria Grazia Badas, Michela Garau, Alessandro Seoni, Giorgio Querzoli
      Pages: 347 - 368
      Abstract: The aim of this paper is the study of the air quality in narrow urban canyons (ratio of the distance between two buildings to the building height less than or equal to one). This has been done by investigating two key points. The first one is the investigation of the modifications that the roof shape induces in the flow and turbulence, through the comparison of velocity fields, turbulence characteristics and air exchanges between the urban canyon and the outer flow in arrays of buildings with flat and pitched roofs. The second one is the assessment of the capability of a RANS model to correctly simulate the flow, through the comparison with laboratory water-channel simulations. Among the analysed quantities, the vertical air exchange rate ACH measures the rate of air removal from a street canyon. Results show that the pitched roof strongly modifies the flow and increases the turbulence and the air exchange between the canyon and the external flow, highlighting how the choice of the roof shape can be meaningful for building design, planning strategies and regulatory purposes.
      Keywords: narrow urban canyon; air quality; natural ventilation; pitched roof; RANS simulation; laboratory simulation
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 347 - 368
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089419
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Validation of Gaussian plume model Aeropol against Cabauw field experiment
    • Authors: Marko Kaasik, Gertie Geertsema, Rinus Scheele
      Pages: 369 - 384
      Abstract: The Gaussian dispersion model AEROPOL is validated against the Cabauw (1977-1978) dataset, applying the parameters and rules from the Model Validation Kit. The purpose to revisit this experiment is preparation for fast response to buoyant accidental releases. In the AEROPOL model, the classical Pasquill-Gifford stability and a scheme based on Lagrangian time scales (the Gryning scheme) are used as alternatives. Validation is based on correlation, fractional bias, fractional sigma, NMSE and fraction in factor 2, applying these statistics to maximal arc-wise, near-centreline and cross-wind integrated concentrations. Both parameterisations are found to be fairly adequate. The Gryning scheme results in moderately underestimated concentrations, which are well correlated with the experimental ones. The Pasquill parameterisation, in contrast, represents the concentrations well on average, but with larger scatter. The average wind direction and speed between the lowest measurement level and release level are found to be good approximations to represent the position of the Gaussian plume.
      Keywords: Gaussian plume; dispersion experiment; Cabauw; AEROPOL; HARMONIE; Model Validation Kit
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 369 - 384
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089420
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • The use of a new diagram for the analysis of the daily cycles in the
           air-pollution data
    • Authors: Marija Zlata Božnar, BoÅ¡tjan GraÅ¡ič, Primož Mlakar, Dejan GradiÅ¡ar, JuÅ¡ Kocijan
      Pages: 385 - 394
      Abstract: From a temporal viewpoint, air pollution has significant daily patterns/cycles of behaviour. These cycles are conditioned by anthropogenic and natural phenomena. In both cases, a detailed observation and an understanding of the daily cycles rules or daily patterns of air pollution can be significant and at the same time can contribute to more effective measures to reduce the harmful impact of air pollution on human health. In this paper the new sunflower diagram is presented. The key advantage of the sunflower diagram is the ease of understanding the result and the ability to present information in the form of a graphic pattern, allowing the user to quickly understand the content. Using the sunflower diagram, we will present an analysis of the meteorological parameters that are important for understanding air pollution and air-pollution data for different locations in Slovenia.
      Keywords: daily cycles; analysis tool; sunflower diagram; air-pollution flower; weather flower; wind flower
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 385 - 394
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089422
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Model inter-comparison and validation of ADMS plume chemistry schemes
    • Authors: Stephen Smith, Jenny Stocker, Martin Seaton, David Carruthers
      Pages: 395 - 406
      Abstract: Two schemes for the determination of NO<SUB align="right">2 concentrations in the atmospheric dispersion model ADMS are evaluated using data from two sites in Alaska. Both schemes take account of the rate of oxidation of NO and photolysis of NO<SUB align="right">2 in the plume using identical chemical formulations. The differences lie in the approaches used for the entrainment and mixing of ambient ozone into the plume. In the standard scheme it is assumed that ozone is mixed instantaneously into the plume at source; in the entrainment limited scheme ozone is entrained into the plume at a rate determined by the rate of dilution of the instantaneous plume. A methodology comprising a scatter plot of the ratio of modelled to observed NO<SUB align="right">2 vs. modelled to observed NO<SUB align="right">x is used to distinguish errors in the chemistry schemes from errors in the prediction of NO<SUB align="right">x. Both schemes show good performance statistics with the standard scheme predicting higher NO<SUB align="right">2 concentrations.
      Keywords: plume chemistry; nitrogen dioxide; NO2; ADMS; validation; model inter-comparison
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 395 - 406
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089427
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
  • Effect of the long-range transport on the air quality of greater
           Budapest area
    • Authors: Zita Ferenczi, László Bozó
      Pages: 407 - 416
      Abstract: SO<SUB align="right">2, NO<SUB align="right">2 and particulate matter (PM) are air pollutants, generated by a variety of human activities and can travel long distances in the atmosphere and cause a wide range of air quality problems in Europe. For some cities, the influence of transboundary and national contributions in PM concentrations is dominant, and only a little improvement can be expected from local control policies. The air quality of Budapest is determined mainly by the local residential heating and traffic emissions combined with the meteorological conditions. Sometimes the impact of the transboundary sources can be negligible especially under special meteorological conditions when the local effects determine the air quality of Budapest, but sometimes it could be responsible for the formation of air pollution episodes. In this research, the effect of long-range transport on the air quality of Budapest was analysed in details, using the outputs of EMEP chemical transport model.
      Keywords: long-range transport; EMEP chemical transport model; urban air quality; emission
      Citation: International Journal of Environment and Pollution, Vol. 62, No. 2/3/4 (2017) pp. 407 - 416
      PubDate: 2018-01-23T23:20:50-05:00
      DOI: 10.1504/IJEP.2017.089428
      Issue No: Vol. 62, No. 2/3/4 (2018)
       
 
 
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