Affiliations 

  • 1 Faculty of Technology Management and Business Universiti Tun Hussein Onn Malaysia 86400 Parit Raja, Batu Pahat Johor, Malaysia; Centre for Environmental Policy, Imperial College London, United Kingdom. Electronic address: padzliha@uthm.edu.my
  • 2 Centre for Environmental Policy, Imperial College London, United Kingdom
Sci Total Environ, 2014 Oct 15;496:607-623.
PMID: 25108801 DOI: 10.1016/j.scitotenv.2014.07.009

Abstract

The aim of this study was to develop a risk-based decision-making framework for the selection of sediment dredging option. Descriptions using case studies of the newly integrated, holistic and staged framework were followed. The first stage utilized the historical dredging monitoring data and the contamination level in media data into Ecological Risk Assessment phases, which have been altered for benefits in cost, time and simplicity. How Multi-Criteria Decision Analysis (MCDA) can be used to analyze and prioritize dredging areas based on environmental, socio-economic and managerial criteria was described for the next stage. The results from MCDA will be integrated into Ecological Risk Assessment to characterize the degree of contamination in the prioritized areas. The last stage was later described using these findings and analyzed using MCDA, in order to identify the best sediment dredging option, accounting for the economic, environmental and technical aspects of dredging, which is beneficial for dredging and sediment management industries.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.