2011, Vol.20, No.3

Journal of Environmental Impact Assessment 2023 KCI Impact Factor : 0.51

pISSN : 1225-7184
https://journal.kci.go.kr/kseia

This paper examines the spatial and temporal variability in the shoreline boundary caused by artificial structures in Songdo Beach of South Korea. Quickbird Images of 2003, 2005, 2007, and 2010 extracted from Google Earth were used to identify changing trends of shoreline boundary. The most significant changes were observed in area where groins were extensively established,inducing the sand beach much narrower than before in almost 75% of the area(15070.72m^2 in 2003 to 3877.46m^2 in 2010). The Google Earth made it possible to identify area-wide patterns of shoreline change subject to many different type of artificial structures, which cannot be acquired by traditional field sampling. Groin heights, lengths and profiles can be modified during maintenance operations if the Google Earth monitoring indicates that the initial layout is not operating properly as a physical barrier to control sediment transport. It is anticipated that this research could be used as a valuable reference to confirm the outputs from past field researches for coastal processes to respond to storms in more visual and quantitative manner.

Sustainability assessments tend to integrate ecological, social, and economic concerns. Sustainability assessment could be considered the highest rung in the assessment ladder. Broad strategies that seek to integrate individual SEA(Strategic Environmental Assessment) could be subjected to a sustainability assessment. Sustainability assessment could incorporate global and transboundary effects and priorities into SEA and project-level EIA(Environmental Impact Assessment). SEA could provide an environmental context and direction for project-level EIA. Procedural and substantive EIA requirements can be addressed through tiering such as sustainability assessment, SEA, project-level EIA. In Korea, PERS(Prior Environmental Review System) that has been utilized to evaluate administrative plans related with various kinds of development projects should be evolved not only to incorporate environmental impacts into early stage decision-making, but also to implicate sustainability assessments that include social equity and economic efficiency. Integration of SEA and sustainability assessment can be initiated through the application of DPSIR (Driving Force - Pressure - State - Impact - Response )framework that was developed by European Environmental Agency.

The specie composition, stranding crops and the dominant species of phytoplankton were studied in three streams, Namdae-stream, Yeongok-stream and Sacheon-stream from May 2008to February 2009. The water qualities of the three streams which run into estuary were also examined using phytoplankton indicators. As the result, the phytoplankton appeared 94 taxa in Namdae-stream, 79 taxa in Yeongok-stream and 73 taxa in Sacheon-stream, diatoms appeared the most in phytoplankton. Genus Navicula and Cymbella in diatoms appeared to be over 10taxa in each stream, N. cryptocephala, N. cryptotenella and N. gregaria, the pollution tolerance taxa,appeared more frequent in the downstream. Due to the separation of each substrate by the rapid water velocity in the upstream, Achnanthes minutissima, a known periphyton, was dominant in upstream site at Namdae and Yeongok-stream. Some construction areas and sites of downstream of Namdae-stream, Yeongok-stream and Sacheon-stream were shown to be polluted because pollution tolerance taxa, such as Cyclotella meneghiniana, Nitzschia palea and Oscillatoria limnetica, were dominant. The total of 20 taxa phytoplankton indicators were found,composed of 16 taxa of Water pollution algae including Oscillatoria limosa, 2 taxa of Clean water algae Meridion circulare and Staurastrum puntulatum, 1 taxa of Toxic algae Microcystis aeruginosa and 1 taxa of Taste and odor algae Fragilaria construens. Water pollution indicators were appeared frequently in polluted sites of biological water quality(DAIpo, TDI) and of sites containing high trophic state index(TSI). Therefore, using the phytoplankton indicators can assess water quality through relation of biological water quality and trophic state index.