International Journal of Environment and Pollution (INT J ENVIRON POLLUT )


The IJEP is a refereed journal providing an international forum for the field of Environment and Pollution. One of three key journals (along with IJETM and IJGEnvI) which together offer complete coverage of key environmental issues, it addresses medium-term challenges involving scientific prediction, modelling and assessment, and social and economic policy areas. The objectives of the IJEP are to establish an effective channel of communication between policy makers, government agencies academics and research institutions and persons concerned with the complex issues of environment and pollution, and to provide a forum for them to disseminate information and to learn from each other's work. The international dimension is emphasised in order to overcome cultural and national barriers and to meet the needs of accelerating technological change and changes in the global economy.

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    Internet Resource, Computer File, Journal / Magazine / Newspaper

Publications in this journal

  • International Journal of Environment and Pollution 01/2014;
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    ABSTRACT: Knowledge about the spatial distribution of NO2 concentrations is beneficial for setting up air quality measurement plans, assessing exposure, or in licensing procedures, where background concentration levels are required. Styria (16.400 km², 1.2 million population) is the second largest province in Austria. In order to take topographical effects on the pollutant dispersion into account, wind field libraries have been computed using the prognostic non-hydrostatic model GRAMM. Local observations of wind speed, - direction and estimated stability classes have been used as meteorological input. Subsequently quasi steady state wind fields have been computed and stored for later use in dispersion modelling utilizing the Lagrangian particle model GRAL. In order to capture strong NO2 concentration gradients (e.g. near roads), 10 m horizontal grid spacing was used in dispersion calculations. Building effects on dispersion have been taken into account by applying a simple mass-conservative diagnostic flow field model implemented in GRAL.
    International Journal of Environment and Pollution 01/2014; 54(2/3/4):137-146.
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    ABSTRACT: Regionalization is to organize a large set of spatial objects into spatially contiguous regions despite optimising the homogeneity of the derived regions, while representing social and economic geography. To confront with this problem, it is to classify the regions to form groups that are homogeneous in air quality attributes. It is to develop a system that applies data mining techniques to study the distribution of air pollutants in Chennai, a metro city in India using vehicular ad hoc networking and map the distribution onto geographic site for effective policy making. In conventional regionalization methods, the data points are assigned to a single region in a multidimensional attribute space affecting the air pollution response. However, some data points, having distributed membership to more than one region, could not be justified and allocated to a single region. Rough set based clustering technique is applied to regionalization problem to resolve vague or overlapped regions. The overlapped regions are restructured to guarantee the homogeneity of the regions formed or altered. The investigations of the cluster validity tests confirm the effectiveness of rough set based regionalization to air quality modeling
    International Journal of Environment and Pollution 01/2014;
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    ABSTRACT: Slovenia is a country of very complex terrain and many problems with air pollution in the valleys, canyons and basins, where industrial air pollution is combined with traffic and domestic heating air pollution, giving rise to problems for the health impact and the ecosystems directly or indirectly. Among indirect effects is also effect on solar radiation budget because of photochemical smog and especially particulate air pollution. To assess air pollutants over the country, a preliminary application of an experimental operational forecast system is presented here, with the aim of exploring its potentials and limitations in modelling the background air quality, and to focus the aspects where improvements are needed for a true operational use.
    International Journal of Environment and Pollution 01/2014; 54(2/3/4):175-183.
  • International Journal of Environment and Pollution 01/2014; 54(1):17.
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    ABSTRACT: Algiers is the political and economic capital of Algeria. The city drains a large part of the activities of the country with intense road traffic. This road traffic is the main source of air pollution, followed by industry and waste combustion. An application of the new road traffic emission model, called EMISENS, is performed to build road traffic emission inventories for the Algiers region. These emission inventories are then used as input to the MM5/CHIMERE system to estimate air pollution. The objective of this study is to propose a methodology to improve the quality of emission inventories, and to validate results. First, by studying the correlation between observed measurements and data concerning cadastre of primary pollutants emitted mainly by road traffic, then by comparing the pollutants concentrations from observed measures with the simulated concentrations with the model of chemistry-transport CHIMERE.
    International Journal of Environment and Pollution 01/2014; 54(1):32-58.
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    ABSTRACT: Our group is pursuing a volcanic ash transport model intercomparison study (VATMIS) to rigorously evaluate the relative performance of several ATM's on the atmospheric transport of volcanic ash from selected case studies. These intercomparisons require the definition of standard output formats for producing results in a common framework. In our work, we define the common format and develop a set of tools to evaluate the data, allowing for side-by-side comparisons on a level playing field. Though the intercomparison tools we develop have widespread applicability to a number of ATM activities, we demonstrate their utility in the realm of volcanic ash transport modeling. In this poster presentation, we use the Alaska Mount Spurr eruption of 1992 as a case study, employing HYSPLIT, FLEXPART and PUFF with common meteorological forcing data, and with release and intrinsic-model set-ups as similar as possible. This case study will allow us to test the deployment of our intercomparison tools and refine as necessary.
    International Journal of Environment and Pollution 04/2013; 55(1/2/3/4):6155-.
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    ABSTRACT: This paper examines temporal, spatial and modal effects of second-best congestion pricing schemes in traffic volume reallocation, traffic mode shifting and automobiles toxic pollutants emission control in urban road systems. A problem in two time periods (peak and off-peak) and two travel modes (private car and bus) on one-way network is analysed, and a second-best congestion pricing model with multiple time periods and travel modes is constructed using an excess-demand approach. The paper provides a thorough empirical study of second-best scenario and two extreme regimes: no-toll problem and first-best problem. The main findings are: congestion pricing policies have major impacts: 1) diversion of tolled route to the free route; 2) shift of peak period traffic to the off-peak period; 3) shift of traffic volume by private car to bus; 4) reduction in total traffic volume and increase in total passenger volume (private car and bus); 5) reduction in the total emission amount of automobiles' toxic pollutants.
    International Journal of Environment and Pollution 01/2013; 53(1/2):64 - 86.
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    ABSTRACT: A sample of bovine bone, an industrial by-product, was submitted to carbonisation at 800°C for 2 h at a heating rate of 3°C min<sup align="right"> −1 </sup> and a N<sub align="right"> 2 </sub> flow of 80 cm<sup align="right"> 3 </sup> min<sup align="right"> −1 </sup>. The char obtained was characterised by nitrogen adsorption isotherms at 77 K using scanning electron microscopy, X-ray diffraction and Fourier transform infrared spectroscopy. The textural parameters showed a surface area of 171 m<sup align="right"> 2 </sup> g<sup align="right"> −1 </sup>, pore volume of 0.07 cm<sup align="right"> 3 </sup> g<sup align="right"> −1 </sup> and morphological characteristics of meso- and macroporous material. Additionally, adsorption isotherms of 2,4-dinitrophenol (2,4-DNP) were made on the char obtained, and the adsorption behaviour was studied using the models of Langmuir, Freundlich, Redlich-Paterson and Toth. Of these, the one that best describes the adsorption system was the Toth model, which indicates a multilayer adsorption. The adsorption capacity of 2,4-DNP was 41.3 mg L<sup align="right"> −1 </sup>, from a model solution of 100 mg L<sup align="right"> −1 </sup>. Finally, we evaluated the adsorption kinetics, correlating the experimental data with pseudo-first-order and pseudo-second-order models. It was found that the chemical kinetics of the removal of 2,4-DNP in the bovine char was described by the pseudo-second-order equation, which represented the chemisorption between the adsorbate and adsorbent in a monolayer on the surface.
    International Journal of Environment and Pollution 01/2013; 52(1/2):52 - 64.
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    ABSTRACT: The efficiency of the CMB model for source contribution estimate is determined by the availability of accurate source profiles and therefore its use is limited when source profiles are not known. In this study the source contribution estimate of ambient VOC was carried out using the CMB model with the source profiles obtained from the PMF model. The PMF model fitted the monitored dataset very well with five factors. The source profiles generated by the PMF model resembled most closely the profiles of petroleum refineries, automobiles, wastewater treatment plants, solvent using industries, and solid waste burning. The derived source types match well with the prevailing source types in the study area. Using the source profiles developed by the PMF model, the CMB model could estimate source contributions for more than 80% of samples with R² ≥ 0.9. The integrated method of developing source profiles with the PMF model and using them in the CMB model for estimating source contributions for each measured dataset proved to be successful and can be adopted in any location where source profiles are not known. This method also eliminates the need for ageing the source profiles to take care of atmospheric photochemical reactions.
    International Journal of Environment and Pollution 01/2013; 53(1/2):107 - 130.