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  • 标题:Reviewing Biological Consideration in Nepalese Environmental Impact Assessment
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  • 作者:Tej Kumar Shrestha ; Sandhya Manandhar ; Ganesh Paudel
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:7
  • 页码:12478
  • DOI:10.15680/IJIRSET.2017.0607003
  • 出版社:S&S Publications
  • 摘要:EIA is an important tool to achieve Sustainable Development that constitutes analysis of developmentprojects impacts on biological, physiochemical, socio-economical and cultural components of the environment.Increasing urbanization and industrialization has been posing adverse impact on biodiversity and thus the review ofbiological component is getting momentum in developing countries like Nepal and this study also aims to review thequality of EISs in this aspect. Twenty EISs were randomly selected from energy, road, forestry and health sectorsrepresenting approved EISs held in MOPE in the period between 2005 and 2015. Evaluation checklist was developedby modifying Lee and Colley Review package and MoFSC, 2002 review guidelines. Energy sector performed betterthan other sectors with only this sector with high performance EISs, while other sectors performed either medium orlow quality. One way ANOVA shows significance difference in the mean performance of EISs in different phases(F=3.394, P=0.007) at 5% level of significance. Further post hoc test, Least Significance difference shows thatperformance on baseline information is significantly higher than performance in other phases (P<0.05). It also showsthat mean performance in other five steps excluding baseline information is not significantly different (P>0.05).Performance on baseline information phase has significant positive correlation with the performance on impactidentification and mitigation measures. In overall only 5% of EISs performed high quality, while 65% and 30%performed medium and low quality.
  • 关键词:Environmental Impact Statements; biological; review; baseline; impact identification
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