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Exploring GIS Techniques in Sea Level Change Studies: A Comprehensive Review.
- Source :
- Sustainability (2071-1050); Apr2024, Vol. 16 Issue 7, p2861, 22p
- Publication Year :
- 2024
-
Abstract
- Sea level change, a consequence of climate change, poses a global threat with escalating impacts on coastal regions. Since 1880, global mean sea level has risen by 8–9 inches (21–24 cm), reaching a record high in 2021. Projections by NOAA suggest an additional 10–12-inch increase by 2050. This paper explores research methodologies for studying sea level change, focusing on Geographic Information System (GIS) techniques. GIS has become a powerful tool in sea level change research, allowing the integration of spatial data, coastal process modeling, and impact assessment. This paper sets the link with sustainability and reviews key factors influencing sea level change, such as thermal expansion and ice-mass loss, and examines how GIS is applied. It also highlights the importance of using different scenarios, like Representative Concentration Pathways (RCP), for accurate predictions. The paper discusses data sources, index variables like the Coastal Vulnerability Index, and GIS solutions for modeling sea level rise impacts. By synthesizing findings from previous research, it contributes to a better understanding of GIS methodologies in sea level change studies. This knowledge aids policymakers and researchers in developing strategies to address sea level change challenges and enhance coastal resilience. Furthermore, global analysis highlights the pivotal roles of the United States and China in sea level change (SLC) and GIS research. In the Gulf Cooperation Council (GCC) region, rising temperatures have substantial impacts on local sea levels and extreme weather events, particularly affecting vulnerable coastal areas. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 16
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Sustainability (2071-1050)
- Publication Type :
- Academic Journal
- Accession number :
- 176595208
- Full Text :
- https://doi.org/10.3390/su16072861