General Information
    • ISSN: 2010-0264
    • Frequency: Bimonthly (2010-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJESD
    • Editor-in-Chief: Prof. Richard Haynes
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS), CABI, DOAJ, Ulrich Periodicals Directory, Engineering & Technology Digital Library, Electronic Journals Library, Crossref, ProQuest.
    • E-mail:
  • Aug 10, 2016 News! Vol.7, No.12 has been published with online version.   [Click]
  • Aug 05, 2016 News! Vol.7, No.11 has been published with online version.   [Click]
The University of Queensland, Australia
It is my honor to be the editor-in-chief of IJESD. The journal publishes good papers in the field of environmental science and development.
International Journal of Environmental Science and Development
International Journal of Environmental Science and Development (IJESD) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of Environmental Science and Development. The focus is to publish papers on state-of-the-art Environmental Science and Development. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for innovation, management and technology as well as designers and developers.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

Featured Article

Onshore and Offshore Wind Speed Distributions at the Western Waters in Taiwan
Jui-Fang Tsai, Hsien-Kuo Chang, Jin-Cheng Liou, and Lian-Sheng Ho
Wind speed data for 2010 at eight stations located in three coastal areas of Taiwan were used to fit three kinds of Weilbull distributions in this study. Bimodal Gamma-Weibull distribution is examined the best among three distributions for all wind speed data comparing three tests for goodness-of-fit. Key indicators for a bimodal distribution are the....[Read More]
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