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Water is of vital importance to ecosystems and human societies. Because of this, the UN Secretary-General has included the availability of clean water as one of the sustainable development goals (SDGs). This study examined the impact of land use and land cover (LULC) changes on groundwater availability in the Pasi watershed on Pasi Gusung Island, Selayar Islands. LULC changes significantly influence water balance as they determine infiltration and surface runoff patterns. Using cellular automata (CA) integrated with artificial neural network (ANN) modeling via the MOLUSCE plugin in QGIS, historical LULC data from 2014 to 2023 were examined and changes through 2033 were forecasted. The soil and water assessment tool (SWAT) was utilized to evaluate the impact of these changes on water availability. The analysis revealed significant LULC alterations, including the expansion of residential and agricultural areas, a decline in mangrove forests, and reduced groundwater recharge capacity. SWAT results suggest a potential reduction in groundwater storage due to decreased infiltration linked to LULC transformations. This study shows a close relationship between land use and land cover changes and fluctuations in groundwater availability in the Pasi watershed. Analysis of land cover from 2014 to 2023 and projections to 2033 show patterns of change that affect the hydrology of the area, including groundwater discharge and the balance between water availability and demand. Continued population growth pressures already limited water resources, creating a growing annual water deficit. This research provides strategic insights for developing sustainable water supply systems in response to projected land use change.
Wydawca
Rocznik
Tom
Strony
301--314
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
- Regional Planning and Development Study Program, Hasanuddin University, 90245, Makassar, Indonesia
autor
- Urban Planning and Design, Department of Urban and Regional Planning, Hasanuddin University, 90245, Makassar, Indonesia
autor
- Department of Soil Science, Faculty of Agriculture, Hasanuddin University, 90245, Makassar, Indonesia
autor
- Forestry Science Study Program, Faculty of Forestry, Hasanuddin University, 90245, Makassar, Indonesia
Bibliografia
- 1. Abbas, Z., Yang, G., Zhong, Y., & Zhao, Y. (2021). Spatiotemporal change analysis and future scenario of lulc using the CA-ANN approach: A case study of the greater bay area, China. Land, 10(6). https://doi.org/10.3390/land10060584
- 2. Degerli, B., & Çetin, M. (2022). Using the remote sensing method to simulate the land change in the year 2030. Turkish Journal of Agriculture - Food Science and Technology, 10(12), 2453–2466. https://doi.org/10.24925/turjaf.v10i12.2453-2466.5555
- 3. Diansyukma, A. (2021). Analysis of clean water supply for remote area: Study case at Sepatin village, Kutai Kartanegara Regency. IOP Conference Series: Earth and Environmental Science, 739(1). https://doi.org/10.1088/1755-1315/739/1/012014
- 4. Dibs, H., Ali, A. H., Al-Ansari, N., & Abed, S. A. (2023). Fusion Landsat-8 Thermal TIRS and OLI Datasets for superior monitoring and change detection using remote sensing. Emerging Science Journal, 7(2), 428–444. https://doi.org/10.28991/ESJ-2023-07-02-09
- 5. Falconer, R. A. (2022). Water security: Why we need global solutions. Engineering, 16, 13–15. https://doi.org/10.1016/j.eng.2021.10.009
- 6. Gassman, P. W., Sadeghi, A. M., & Srinivasan, R. (2014). Applications of the SWAT model special section: Overview and insights. Journal of Environmental Quality, 43(1), 1–8. https://doi.org/10.2134/ jeq2013.11.0466
- 7. Government of Selayar Islands Regency. (2023). Strategic Environmental Assessment Report for the Detailed Spatial Plan of Pasi Gusung Island.
- 8. Hidayat, Y. (2023). Step by Step Model SWAT. Department of Soil Science and Land Resources, IPB University.
- 9. Hotloś, H. (2008). Quantity and availability of freshwater resources: The world - Europe - Poland. Environment Protection Engineering, 34(2), 67–77.
- 10. Ikhwali, M. F., Rau, M. I., Nur, S., Ferijal, T., Prayogo, W., & Saputra, S. F. D. (2022). Application of soil and water assessment tool in Indonesia – A review and challenges. Desalination and Water Treatment, 277, 105–119. https://doi.org/10.5004/ dwt.2022.29018
- 11. Indhanu, N., Chalermyanont, T., & Chub-Uppakarn, T. (2025). Spatial assessment of land use and land cover change impacts on groundwater recharge and groundwater level: A case study of the Hat Yai basin. Journal of Hydrology: Regional Studies, 57(April 2024), 102097. https://doi.org/10.1016/j. ejrh.2024.102097
- 12. Jamal, S., & Ahmad, W. S. (2020). Assessing land use land cover dynamics of wetland ecosystems using Landsat satellite data. SN Applied Sciences, 2(11), 1–24. https://doi.org/10.1007/s42452-020-03685-z
- 13. Kim, Y., & Newman, G. (2020). in Urban Land Change Models. 1–22.
- 14. Liu, Z., Rong, L., & Wei, W. (2023). Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China. Geography and Sustainability, 4(1), 19–28. https://doi.org/10.1016/j.geosus.2022.11.006
- 15. Martin, N. (2021). Risk assessment of future climate and land use/land cover change impacts on water resources. Hydrology, 8(1), 1–23. https://doi.org/10.3390/hydrology8010038
- 16. Mishra, B. K., Kumar, P., Saraswat, C., Chakraborty, S., & Gautam, A. (2021). Water Security in a Changing Environment : Concept,. Water, 13(4), 490.
- 17. Molina-Navarro, E., Nielsen, A., & Trolle, D. (2018). A QGIS plugin to tailor SWAT watershed delineations to lake and reservoir waterbodies. Environmental Modelling and Software, 108, 67–71. https://doi.org/10.1016/j.envsoft.2018.07.003
- 18. Nedd, R., Light, K., Owens, M., James, N., Johnson, E., & Anandhi, A. (2021). Knowledge gaps on a global landscape. Land, 10(2020), 1–30.
- 19. Pan, R., Martinez, A., Brito, T., & Seidel, E. (2018). Processes of soil infiltration and water retention and strategies to increase their capacity. Journal of Experimental Agriculture International, 20(2), 1–14. https://doi.org/10.9734/jeai/2018/39132
- 20. Rostami, A., Raeini-Sarjaz, M., Chabokpour, J., Azamathulla, H. M., & Kumar, S. (2022). Determination of rainfed wheat agriculture potential through assimilation of remote sensing data with SWAT model case study: ZarrinehRoud Basin, Iran. Water Supply, 22(5), 5331–5334. https://doi.org/10.2166/ ws.2022.160
- 21. Setiawan, O., & Nandini, R. (2022). Integration of LULC change/prediction and hydrological modeler for assessment of the effect of LULC Change on peak discharge in Sari Watershed, Sumbawa Island, Indonesia. IOP Conference Series: Earth and Environmental Science, 1109(1). https://doi.org/10.1088/1755-1315/1109/1/012070
- 22. Sulamo, M. A., Kassa, A. K., & Roba, N. T. (2021). Evaluation of the impacts of land use/cover changes on water balance of bilate watershed, rift valley basin, Ethiopia. Water Practice and Technology, 16(4), 1108–1127. https://doi.org/10.2166/wpt.2021.063
- 23. Tan, M. L., Gassman, P. W., Liang, J., & Haywood, J. M. (2021). A review of alternative climate products for SWAT modelling: Sources, assessment and future directions. Science of the Total Environment, 795, 148915. https://doi.org/10.1016/j.scitotenv.2021.148915
- 24. Tong, X., & Feng, Y. (2020). A review of assessment methods for cellular automata models of land-use change and urban growth. International Journal of Geographical Information Science, 34(5), 866–898. https://doi.org/10.1080/13658816.2019.1684499
- 25. Zhao, H., Li, H., Xuan, Y., Li, C., & Ni, H. (2022). Improvement of the SWAT model for Snowmelt runoff simulation in seasonal snowmelt area using remote sensing data. Remote Sensing, 14(22). https://doi.org/10.3390/rs14225823
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ac5488a3-552d-4ca2-a3a5-134d10d1ffc0
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