Pemetaan Sebaran Nilai Koefisien Aliran Permukaan Soil Conservation Services Curve Number Pada Daerah Aliran Sungai Karangmumus Kota Samarinda
DOI:
https://doi.org/10.30872/geoedusains.v5i2.4950Keywords:
Hidrologi, Curve Number, DAS, Karangmumus, BanjirAbstract
Penelitian ini bertujuan memetakan dan menganalisis nilai Soil Conservation Service Curve Number (SCS-CN) di Daerah Aliran Sungai (DAS) Karangmumus untuk menilai potensi limpasan permukaan dan risiko banjir. Data litologi, tutupan lahan, dan karakteristik tanah diolah menggunakan Sistem Informasi Geografis (SIG) untuk menghasilkan peta sebaran nilai CN. Hasil menunjukkan nilai rata-rata CN sebesar 73,88, mengindikasikan potensi limpasan permukaan yang cukup tinggi, terutama di area dengan tanah bertekstur halus dan tutupan lahan terdegradasi akibat aktivitas manusia. Variasi spasial nilai CN dipengaruhi oleh heterogenitas litologi dan penggunaan lahan, yang berdampak pada infiltrasi dan erosi. Rekomendasi konservasi meliputi penerapan teknologi bioengineering, pembangunan sumur resapan, dan pengembangan agroforestri untuk mengurangi limpasan dan risiko banjir. Monitoring dan evaluasi berkala dengan teknologi penginderaan jauh disarankan untuk mendukung pengelolaan DAS yang berkelanjutan. Penelitian ini memberikan dasar ilmiah penting bagi pengelolaan sumber daya air dan mitigasi bencana di DAS Karangmumus.
Downloads
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. https://doi.org/10.1016/j.jafr.2023.100535
Bettoni, M., Maerker, M., Bosino, A., Conedera, M., Simoncelli, L., & Vogel, S. (2023). Land use effects on surface runoff and soil erosion in a southern Alpine valley. Geoderma, 435. https://doi.org/10.1016/j.geoderma.2023.116505
Elkarim, A. A., Awawdeh, M. M., Alogayell, H. M., & Al-Alola, S. S. S. (2020). Intergration Remote Sensing And Hydrologic, Hydroulic Modelling On Assessment Flood Risk And Mitigation: Al-Lith City, Ksa. International Journal of GEOMATE, 18(70), 252–280. https://doi.org/10.21660/2020.70.68180
Ezz, H. (2018). Integrating GIS and HEC-RAS to model Assiut plateau runoff. Egyptian Journal of Remote Sensing and Space Science, 21(3), 219–227. https://doi.org/10.1016/j.ejrs.2017.11.002
Fadlin, F., Thaha, M. A., Maricar, F., & Hatta, M. P. (2022). Spatial Modeling For Flood Risk Reduction In Wanggu Watershed , Kendari. 70(12), 219–226.
Gao, P. Y., & Yang, Y. (2022). The finite element numerical investigation of dam-break flow with obstacle. Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 39(4). https://doi.org/10.7511/jslx20210401001
Kumar, A., Kanga, S., Taloor, A. K., Singh, S. K., & Đurin, B. (2021a). Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques. HydroResearch, 4, 61–74. https://doi.org/10.1016/j.hydres.2021.08.001
Kumar, A., Kanga, S., Taloor, A. K., Singh, S. K., & Đurin, B. (2021b). Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques. HydroResearch, 4, 61–74. https://doi.org/10.1016/j.hydres.2021.08.001
Li, J., Zhou, J., & Wang, J. (2023). Consideration of vegetation interception of rainfall within the SCS-CN model: Application to the west bank of Dianchi Lake. Journal of Hydrology: Regional Studies, 49. https://doi.org/10.1016/j.ejrh.2023.101490
Liu, Y., Wu, G., Fan, X., Gan, G., Wang, W., & Liu, Y. (2022). Hydrological impacts of land use/cover changes in the Lake Victoria basin. Ecological Indicators, 145. https://doi.org/10.1016/j.ecolind.2022.109580
Ningaraju, H. J., B, G. K. S., & Surendra, H. J. (2016). Estimation of Runoff Using SCS-CN and GIS method in ungauged watershed : A case study of Kharadya mill watershed , India. 5, 36–42.
Palacios-Cabrera, T., Valdes-Abellan, J., Jodar-Abellan, A., & Rodrigo-Comino, J. (2022). Land-use changes and precipitation cycles to understand hydrodynamic responses in semiarid Mediterranean karstic watersheds. Science of the Total Environment, 819. https://doi.org/10.1016/j.scitotenv.2022.153182
Roy, P., Chandra Pal, S., Chakrabortty, R., Chowdhuri, I., Malik, S., & Das, B. (2020). Threats of climate and land use change on future flood susceptibility. Journal of Cleaner Production, 272, 122757. https://doi.org/10.1016/j.jclepro.2020.122757
Verma, S., Singh, P. K., Mishra, S. K., Singh, V. P., Singh, V., & Singh, A. (2020). Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method. Journal of Hydrology, 589. https://doi.org/10.1016/j.jhydrol.2020.125114
Walega, A., Amatya, D. M., Caldwell, P., Marion, D., & Panda, S. (2020). Assessment of storm direct runoff and peak flow rates using improved SCS-CN models for selected forested watersheds in the Southeastern United States. Journal of Hydrology: Regional Studies, 27. https://doi.org/10.1016/j.ejrh.2019.100645
Widyasasi, D., Fadlin, F., Sofyan, A. B., & Tahrir, M. (2024). Land Use Change and Soil Conservation Services Curve Number (SCS-CN) in Karangmumus Watershed Samarinda. International Journal of Engineering Trends and Technology, 72(10 October), 1–9. https://doi.org/10.14445/22315381/IJETT-V72I10P101
Younis, S. M. Z., & Ammar, A. (2018). Quantification of impact of changes in land use-land cover on hydrology in the upper Indus Basin, Pakistan. Egyptian Journal of Remote Sensing and Space Science, 21(3), 255–263. https://doi.org/10.1016/j.ejrs.2017.11.001
Published
Versions
- 2025-12-02 (4)
- 2025-12-02 (3)
- 2025-12-02 (2)
- 2025-12-02 (1)
Issue
Section
License
Copyright (c) 2025 Feri, Najma Nur Mawaddah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
