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Modeling of Carbon Emissions and Sequestration Due to Land Cover Changes in Makassar Using Geospatial Technology Nursaputra, Munajat; Fa'iq, Muhammad; Anila, Chaeria; Nasir, Anugrahandini; Larekeng, Siti Halimah; Rahmat, Syaeful
Tunas Geografi Vol. 13 No. 2 (2024): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v13i2.62576

Abstract

Land-use change significantly affects carbon emissions, particularly in rapidly growing cities such as Makassar. This study uses geospatial technology to analyze the impact of land cover changes on carbon emissions and sequestration in Makassar City from 2022 to 2041. The Rapid Carbon Stock Appraisal (RaCSA) method and the QUES-C feature of the LUMENS software were utilized to model land cover changes based on the Makassar City spatial planning scenario (RTRW). The results indicate that expanding residential areas and reducing green spaces, such as mangrove forests and agricultural land, have increased carbon emissions. However, carbon sequestration in certain areas, especially in the Tallo District and reclamation areas, has increased significantly due to the establishment of local protection zones. This study highlights the importance of spatial planning that supports the protection and restoration of green spaces to enhance carbon sequestration capacity and support sustainable development strategies in Makassar City.
PEMODELAN HIDROLOGI BERBASIS SPASIAL UNTUK IDENTIFIKASI DAN ANALISIS DAERAH RAWAN BANJIR DI DAS LAMASI Nursaputra, Munajat; Syahrul R, A. Muhammad; Rijal, Syamsu; Fa'iq, Muhammad
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3365

Abstract

This study investigates the changes in flood inundation areas in the Lamasi Watershed, focusing on the integration of HEC-RAS and SWAT models from 2013-2022 with projections up to 2031. This research is motivated by the increased frequency and extent of flooding in DAS Lamasi, attributed to land use changes and hydrological variability. The methodology employed involves hydrological simulation using the SWAT model to estimate river discharge based on historical land use, climate, and topography data. The output from the SWAT model is then integrated into the HEC-RAS model to simulate flood distribution and extent. The Flow Regime Coefficient (KRS) is also analyzed to assess flow quality and identify flood risk indicators. The results indicate an expected increase in flood inundation area from 1,825.88 hectares in 2021 to 1,860.62 hectares in 2031. The KRS analysis reveals that 17 sub-basins in poor condition in the downstream areas exhibit a high risk of flooding. Based on these findings, the study recommends the development of mitigation strategies including enhanced drainage infrastructure and more effective land management. This study provides crucial insights for the planning of flood management and risk mitigation in DAS Lamasi, supporting efforts to adapt to the impacts of land use changes and climate dynamics in the future.