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

Publisher: Inderscience

Journal description

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.

Current impact factor: 0.30

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 0.303
2012 Impact Factor 0.257
2011 Impact Factor 0.361
2010 Impact Factor 0.626
2009 Impact Factor 0.624
2008 Impact Factor 0.568
2007 Impact Factor 0.435
2006 Impact Factor 0.404
2005 Impact Factor 0.327
2004 Impact Factor 0.156
2003 Impact Factor 0.116
2002 Impact Factor 0.356
2001 Impact Factor 0.314
2000 Impact Factor 0.176
1999 Impact Factor 0.213
1998 Impact Factor 0.204
1997 Impact Factor 0.336

Impact factor over time

Impact factor

Additional details

5-year impact 0.48
Cited half-life 6.50
Immediacy index 0.01
Eigenfactor 0.00
Article influence 0.14
Website International Journal of Environment and Pollution website
Other titles IJEP
ISSN 0957-4352
OCLC 163475180
Material type Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 6 months embargo
  • Conditions
    • Cannot archive until publication
    • Author's pre-print and Author's post-print on author's personal website, institutional repository or subject repository
    • Publisher copyright and source must be acknowledged
    • Must link to journal webpage and /or DOI
    • Publisher's version/PDF cannot be used, unless covered by funding agency rules
    • Authors covered by funding agency rules, may post the Publisher's Version/PDF in subject repositories after a 6 months embargo
    • Reviewed 10/02/2014
    • Author's post-print equates to Inderscience's Proof
  • Classification
    ​ yellow

Publications in this journal

  • International Journal of Environment and Pollution 01/2014;
  • International Journal of Environment and Pollution 01/2014; 55(1/2/3/4):31-40.
  • [Show abstract] [Hide abstract]
    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; 53(1-2). DOI:10.1504/IJEP.2013.058818
  • [Show abstract] [Hide abstract]
    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. DOI:10.1504/IJEP.2014.065118
  • [Show abstract] [Hide abstract]
    ABSTRACT: An alternative approach for computing exposure indices, such as AOT40 of the ground-level ozone, is considered in this paper. The aim of the study is to compare it with the traditional way of calculating the exposure indices in order to discover possible weaknesses or strengths of both approaches. The problem under consideration is of great importance when modelling results, obtained after running large-scale air pollution models, have to be compared with experimental data. Usually the data are received in a form of mesh-function. At the same time, accumulated effects have to be considered as integrals of smooth (at least continuous) functions. Cubic spline interpolation over data of ozone concentrations is considered as a tool for computing accumulated effects. Practical computations include estimations for measurements of several stations over Europe for two different years. The results obtained with the proposed procedure are compared with those achieved from the calculations according to the classical definition. Copyright (C) 2014 Inderscience Enterprises Ltd.
    International Journal of Environment and Pollution 01/2014; 54(1):17. DOI:10.1504/IJEP.2014.064048
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    ABSTRACT: This study aimed to economically measure the Tiradentes Square of Teófilo Otoni City, in the State of Minas Gerais, Brazil, considering its tangible and intangible aspects. The Contingent Valuation Method (CVM) was chosen to achieve the proposed goal, because it allows determining the monetary value of natural resources based on the user’s preferences. This study showed that respondents are willing to pay for the maintenance and conservation of Tiradentes Square, showing their vow of justified protest mainly by assigning this responsibility to the City Hall for its maintenance and repairs. The results of this study showed that economic value for the Tiradentes Square reached R$ 9.974.537,22 (R=Real, expressed in Brazilian currency). It was concluded that the population realize the importance of that good, but believe to be assigned to the public power the responsibility for its preservation.
    International Journal of Environment and Pollution 09/2013; 1(2):20-39.
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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-. DOI:10.1504/IJEP.2014.065926
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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. DOI:10.1504/IJEP.2013.058819