• Title/Summary/Keyword: SLAMM Model

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A Study on the Eco-Environmental Change of Coastal Area by the Sea Level Rise (해수면 상승에 따른 해안지역 생태환경 변화)

  • Kim, Nam-Shin;Lee, Chang-Seok
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.3
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    • pp.53-63
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    • 2010
  • The global sea level rise has an effect on eco-environmental change by the inundation and erosion in the coastal area. Forecasting model on the change of morpho-ecological environments by the sea level change will give us information for coastal area management by predicting environmental changes of the up-coming future. This research aimed to foresee eco-environmental changes by the sea level rise in coastal area. Prediction model used SLAMM model developed to forecast coastal changes by IPCC scenario. The model predicted centennial environmental changes in the mouth of Han river and Nakdong river, Suncheon and Hampyeung bay as case areas. To sum up the research findings, in the estuary of the Han river, tidal flat was gradually disappeared from the year 2075, scrubmarsh and saltmarsh belts were developed. In the Nakdong River estuary, scrubmarsh was decreased from the year 2025, tidal flat was deposited from the year 2050, and also, the Gimhae plain was partially inundated, and wetlands were formed. In the Hampyeung bay, saltmarsh was deposited in the year 2025, tidal flat expanded until 2050 was partially submerged after that time. Tidal flat of Suncheon bay was disappeared by the inundation after 2025, and saltmarsh was developed in the embayment.

A Prediction on the Wetlands Change of Suncheon Bay by the Sea Level Rise (해수면 상승에 따른 순천만 습지 변화 예측)

  • MOON, Bora;KIM, Dong-Myung;LEE, Suk-Mo
    • Journal of Fisheries and Marine Sciences Education
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    • v.29 no.3
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    • pp.627-635
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    • 2017
  • Sea level rise caused by climate change has become a global issue. Sea level rise seems to be an important factor of the research for coastal areas as it affects topography and vegetation of coasts and especially for the plan of coastal wetlands restoration which needs to be carried out for a long term, it has to be considered sufficiently. The coastal wetlands in Korea was damaged by the land reclamation project but recent concerns on the restoration have increased as its value is evaluated highly. Suncheon Bay had also reclaimed from wetlands to rice field once however this site is very active for restoration nowadays. This study estimated an effect according to sea level rise by 2100, reappearing the none dike condition of Suncheon Bay so that it can be taken account of a future plan of wetland restoration. The Sea Level Affecting Marshes Model(SLAMM) was selected as predicting model. The input data such as DEM(Digital Elevation Model), slope, wetlands category, sea level rise senario, tidal range and accretion rate was applied for the simulation. The results showed a decrease in tidal flat, an increase in sea area and a change of the rice field to transitional salt marsh consistently by 2100. These results of this study could be used as baseline data in the future plan of ecological restoration in Suncheon Bay.

Estimating theimpacts of sea level rise using geoprocessing and simulation modeling (지리정보시스템과 시뮬레이션 모델을 이용한 해면상승의 예측과 해안지형에 미치는 영향)

  • Lee, Jae K.;Kwon, Soon Shik
    • Journal of the Korean Geographical Society
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    • v.28 no.4
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    • pp.298-311
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    • 1993
  • Simulation modeling was applied to predict the response of northeast Florida coastal wetlands to futrue sea levl rise due to global warming. Remote sensing and geographic information systems (GLS) were used to develop, manipulate, and synthesize input data, including land cover, digital elevation data, and site characteristics data. The SLAMM3 model evaluated this input data to predict responses of coastal wetlands and lowlands to inundation and erosion by sea level rise, and determined transfers from one habitat to another on a cell-by-cell basis. Significant changes were predicted from different scenarios of sea level rise: 0.5m, 1.0m, and 1.25m. The simulations indicated that 31.9 percent and 40.0 percent of wetlands within the study area would be lost with 1.0m and 1.25m sea level rise respectively, and a 6.5 percent loss with 0.5m rise.

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