PREDICTION OF LAND COVER CHANGES ON THE AVAILABILITY OF IRRIGATION WATER IN THE BOLON RIVER BASIN

PREDIKSI PERUBAHAN TUTUPAN LAHAN TERHADAP KETERSEDIAAN AIR IRIGASI PADA DAERAH ALIRAN SUNGAI BOLON

Authors

  • Habibi El Hadidhy Departemen Teknik Sipil, Fakultas Teknik, Universitas Sumatera Utara
  • Anthoni Veery Mardianta Departemen Arsitektur, Fakultas Teknik, Universitas Sumatera Utara
  • Ahmad Perwira Mulia Departemen Teknik Sipil, Fakultas Teknik, Universitas Sumatera Utara

DOI:

https://doi.org/10.36526/sosioedukasi.v14i4.6470

Keywords:

CA-MC, land cover change, mollusc, SWAT, water supply.

Abstract

Increasing food demand and urban development have driven rapid land cover change and affected water supply. Globally, irrigated agriculture is the largest consumer of water. This study aimed to assess the prediction of land cover change on water supply in the Bolon watershed. Land cover change was analyzed using CA-MC method with QGIS plug in Molusce model and prediction of future land cover change. SWAT integration model with GIS was used to evaluate water supply. The results of image analysis during the 2017-2024 period revealed an increase in urban areas (4.8%), shrublands (1.0%) and water bodies (0.6%) and a decrease in forests (0.5%), irrigated agriculture (1.5%) and vegetations (4.5%) of the total area of the Bolon watershed. While in the period 2024-2033 showed an increase in urban areas (5.2%), vegetations (1.5%) irrigated agriculture (4.5%) and a decrease in forests (5.9%), shrublands (4.8%) and water bodies (0.5%) of the total area of the Bolon watershed. Modeling with SWAT+ resulted in monthly Q80 supply discharge with average discharge in 2017 (50.70 m3/s), 2024 (49.99 m3/s), 2029 (47,85 m3/s) and 2033 (47,27 m3/s). This study retrived that the impact of LULC changes on irrigation water supply at the sub-watershed scale during the 2017-2024 and 2024-2033 periods using SWAT+ is different from the result at the watershed scale. Land cover change of irrigated agriculture into urban areas, specifically in the downstream of the Bolon watershed during 2017-2033 period, caused a decrease in irrigation water demand so that the downstream watershed changes from low supply to medium supply and changes in vegetations land cover, and shrublands into urban areas in sub-watersheds during 2017-2033 period have caused a decrease in water supply in the river so that sub-watershed changes from high supply to medium supply.

References

Abuhay, W., Gashaw, T., & Tsegaye, L. (2023). Assessing Impacts of Land Use/Land Cover Changes on The Hydrology of Upper Gilgel Abbay Watershed Using The SWAT Model. Journal of Agriculture and Food Research, 12, 100535. https://doi.org/10.1016/j.jafr.2023.100535

Anand, J., Gosain, A. K., & Khosa, R. (2018). Prediction of Land Use Changes Based on Land Change Modeler and Attribution of Changes in The Water Balance of Ganga basin to Land Use Change Using The SWAT Model. Science of The Total Environment, 644, 503–519. https://doi.org/10.1016/j.scitotenv.2018.07.017

Asra, R., Mappiasse, M. F., & Nurnawati, A. A. (2020). Penerapan Model CA-Markov untuk Prediksi Perubahan Penggunaan Lahan di Sub-DAS Bila Tahun 2036. AGROVITAL : Jurnal Ilmu Pertanian, 5(1), 1. https://doi.org/10.35329/agrovital.v5i1.630

Ayalew, S. E., Niguse, T. A., & Aragaw, H. M. (2024). Hydrological Responses to Historical and Predicted Land Use/Land Cover Changes in The Welmel Watershed, Genale Dawa Basin, Ethiopia: Implications for Water Resource Management. Journal of Hydrology: Regional Studies, 52, 101709. https://doi.org/10.1016/j.ejrh.2024.101709

Bal, M., Dandpat, A. K., & Naik, B. (2021). Hydrological Modeling with Respect to Impact of Land-Use and Land-cover change on the runoff dynamics in Budhabalanga River Basing Using ArcGIS and SWAT Model. Remote Sensing Applications: Society and Environment, 23, 100527. https://doi.org/10.1016/j.rsase.2021.100527

Beshir, S., Moges, A., & Dananto, M. (2023). Trend Analysis, Past Dynamics and Future Prediction of Land Use and Land Cover Change in Upper Wabe-Shebele River Basin. Heliyon, 9(9), e19128. https://doi.org/10.1016/j.heliyon.2023.e19128

Di Baldassarre, G., Wanders, N., AghaKouchak, A., Kuil, L., Rangecroft, S., Veldkamp, T. I. E., Garcia, M., van Oel, P. R., Breinl, K., & Van Loon, A. F. (2018). Water Shortages Worsened by Reservoir Effects. Nature Sustainability, 1(11), 617–622. https://doi.org/10.1038/s41893-018-0159-0

Eekhout, J. P. C., Delsman, I., Baartman, J. E. M., van Eupen, M., van Haren, C., Contreras, S., Martínez-López, J., & de Vente, J. (2024). How Future Changes in Irrigation Water Supply and Demand Affect Water Security in a Mediterranean Catchment. Agricultural Water Management, 297, 108818. https://doi.org/10.1016/j.agwat.2024.108818

Gashaw, T., Tulu, T., Argaw, M., & Worqlul, A. W. (2017). Evaluation and Prediction of Land Use/Land Cover Changes in The Andassa Watershed, Blue Nile Basin, Ethiopia. Environmental Systems Research, 6(1), 17. https://doi.org/10.1186/s40068-017-0094-5

Gebrie Habte, D., Belliethathan, S., & Ayenew, T. (2024). Analysis of Hydrological Response to Climate and Land Use Land Cover Changes in Jewha Watershed Using SWAT Model, Ethiopia. Air, Soil and Water Research, 17, 1–11. https://doi.org/10.1177/11786221241306768

Gharaibeh, A., Shaamala, A., Obeidat, R., & Al-Kofahi, S. (2020). Improving Land-Use Change Modeling by Integrating ANN with Cellular Automata-Markov Chain Model. Heliyon, 6(9), e05092. https://doi.org/10.1016/j.heliyon.2020.e05092

Hamad, R., Balzter, H., & Kolo, K. (2018). Predicting Land Use/Land Cover Changes Using a CA-Markov Model under Two Different Scenarios. Sustainability, 10(10), 3421. https://doi.org/10.3390/su10103421

He, L., Bao, J., Daccache, A., Wang, S., & Guo, P. (2020). Optimize The Spatial Distribution of Crop Water Consumption Based on a Cellular Automata Model: A Case Study of The Middle Heihe River Basin, China. Science of The Total Environment, 720, 137569. https://doi.org/10.1016/j.scitotenv.2020.137569

Jawarneh, R. N., Abulibdeh, A., Hashem, N., Awawdeh, M., Al-Awadhi, T., Abdullah, M. M., & El Kenawy, A. M. (2024). Assessing and Predicting Land Cover Dynamics for Environmental Sustainability in Jordan’s Arid Ecosystems Using CA-Markov Model. Remote Sensing Applications: Society and Environment, 35, 101262. https://doi.org/10.1016/j.rsase.2024.101262

Judijanto, L., Wibowo, G. A., Karimuddin, K., Samsuddin, H., Patahuddin, A., Anggraeni, A. F., Raharjo, R., & Simamora, F. M. A. (2024). Research Design: Pendekatan Kualitatif dan Kuantitatif". Sonpedia Publishing Indonesia.

Khalid, W., Shamim, S. K., & Ahmad, A. (2024). Synergistic Approach for Land Use and Land Cover Dynamics Prediction in Uttarakhand using Cellular Automata and Artificial Neural Network. Geomatica, 76(2), 100017. https://doi.org/10.1016/j.geomat.2024.100017

Liu, X., Liu, Y., Wang, Y., & Liu, Z. (2022). Evaluating Potential Impacts of Land Use Changes on Water Supply–Demand under Multiple Development Scenarios in Dryland Region. Journal of Hydrology, 610, 127811. https://doi.org/10.1016/j.jhydrol.2022.127811

Nurhami, A. (2025). Modeling Upper Citarum Watershed Hydrology using Swat+ and Gsmap Precipitation Data. International Journal of GEOMATE, 28(129), 1–11. https://doi.org/10.21660/2025.129.4846

Nurhami, A., Kardhana, H., Rohmat, F. I. W., Soewondo, P., & Wijayasari, W. (2025). Modeling Upper Citarum Watershed Hydrology Using Swat+ and Gsmap Precipitation Data. International Journal of GEOMATE, 28(129), 47–54. https://doi.org/10.21660/2025.129.4846

Yue, W., Qin, C., Su, M., Teng, Y., & Xu, C. (2024). Simulation and Prediction of Land use Change in Dongguan of China Based on ANN Cellular Automata - Markov Chain Model. Environmental and Sustainability Indicators, 22, 100355. https://doi.org/10.1016/j.indic.2024.100355

Zhang, F., Wu, Z., Di, D., & Wang, H. (2023). Water Resources Allocation based on Water Resources Supply-Demand Forecast and Comprehensive Values of Water Resources. Journal of Hydrology: Regional Studies, 47, 101421. https://doi.org/10.1016/j.ejrh.2023.101421

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Published

2025-11-18

How to Cite

El Hadidhy, H., Mardianta, A. V., & Mulia, A. P. (2025). PREDICTION OF LAND COVER CHANGES ON THE AVAILABILITY OF IRRIGATION WATER IN THE BOLON RIVER BASIN: PREDIKSI PERUBAHAN TUTUPAN LAHAN TERHADAP KETERSEDIAAN AIR IRIGASI PADA DAERAH ALIRAN SUNGAI BOLON. SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL, 14(4), 2574–2592. https://doi.org/10.36526/sosioedukasi.v14i4.6470