Literature DB >> 18712610

Landscape scale ecological monitoring as part of an EIA of major construction activities: experience at the Turkish section of the BTC crude oil pipeline project.

Sükran Sahin1, Ekrem Kurum.   

Abstract

Ecological monitoring is a complementary component of the overall environmental management and monitoring program of any Environmental Impact Assessment (EIA) report. The monitoring method should be developed for each project phase and allow for periodic reporting and assessment of compliance with the environmental conditions and requirements of the EIA. Also, this method should incorporate a variance request program since site-specific conditions can affect construction on a daily basis and require time-critical application of alternative construction scenarios or environmental management methods integrated with alternative mitigation measures. Finally, taking full advantage of the latest information and communication technologies can enhance the quality of, and public involvement in, the environmental management program. In this paper, a landscape-scale ecological monitoring method for major construction projects is described using, as a basis, 20 months of experience on the Baku-Tbilisi-Ceyhan (BTC) Crude Oil Pipeline Project, covering Turkish Sections Lot B and Lot C. This analysis presents suggestions for improving ecological monitoring for major construction activities.

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Year:  2008        PMID: 18712610     DOI: 10.1007/s10661-008-0502-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Promoting the use of environmental data collected by concerned citizens through information and communication technologies.

Authors:  Cristina Gouveia; Alexandra Fonseca; António Câmara; Francisco Ferreira
Journal:  J Environ Manage       Date:  2004-06       Impact factor: 6.789

  1 in total
  1 in total

1.  A framework for quantifying the extent of impact to plants from linear construction.

Authors:  Jun Xiao; Peng Shi; Ya-Feng Wang; Yang Yu; Lei Yang
Journal:  Sci Rep       Date:  2017-05-30       Impact factor: 4.379

  1 in total

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