Analisis Laju Sedimen DAS Serayu Hulu dengan Menggunakan Model SWAT

Nugroho Christanto; Muhammad Anggri Setiawan; Afid Nurkholis; Saidah Istiqomah; Junun Sartohadi; M Pramono Hadi

doi:10.22146/mgi.32280

Analisis Laju Sedimen DAS Serayu Hulu dengan Menggunakan Model SWAT

https://doi.org/10.22146/mgi.32280

Nugroho Christanto^(1*), Muhammad Anggri Setiawan⁽²⁾, Afid Nurkholis⁽³⁾, Saidah Istiqomah⁽⁴⁾, Junun Sartohadi⁽⁵⁾, M Pramono Hadi⁽⁶⁾

(1) Departement Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
(2) Departement Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
(3) Departement Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
(4) Departement Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
(5) Fakultas Pertanian, Universitas Gadjah Mada
(6) Departement Geografi Lingkungan, Fakultas Geografi, Universitas Gadjah Mada
(*) Corresponding Author

Abstract

Wilayah DAS Serayu Hulu merupakan DAS prioritas yang memerlukan langkah pengelolaan yang komprehensif. Aplikasi model Soil and Water Assessment Tool (SWAT) dapat digunakan sebagai media untuk perencanaan konservasi ataupun evaluasi respon DAS (debit aliran permukaan, sedimen dan pencemaran sungai). Tujuan utama dari penelitian ini adalah menjalankan model SWAT di DAS Serayu Hulu untuk mengetahui laju sedimen di wilayah ini. Pemodelan SWAT membutuhkan sejumlah input parameter berupa relief, tanah, tutupan lahan dan pengelolaan lahan. Pedogeomorfologi digunakan sebagai batas satuan tanah karena tidak tersedianya peta tanah di wilayah penelitian. Hasil Penerapan model SWAT di DAS Serayu Hulu menghasilkan nilai yang cukup memuaskan, hal ini ditunjukkan nilai R2 mencapai 0,94. Hasil pemodelan SWAT dengan menggunakan data selama 10 tahun (2004-2013) menunjukkan bahwa DAS Serayu Hulu memiliki rerata hasil sedimen sebesar 1.926.900 ton/tahun. Sub DAS 8,9 11, 17, 18, dan 19 merupakan penghasil sedimen tertinggi di DAS Serayu Hulu dengan hasil sedimen 43.931– 121.434 ton/ha/tahun.

Keywords

Serayu Hulu; Hasil Sedimen; Pemodelan Hidrologi; SWAT

Full Text:

PDF

References

Arnold, J. G., Kiniry, J. R., Srinivasan, R., Williams, J. R., Haney, E. B., & Neitsch, S. L. (2012). Soil and Water Assessment Tool: Input/Output Files. Retrieved from http://swat.tamu.edu/media/69296/SWAT-IO-Documentation-2012.pdf

Asdak, C. (2010). Hidrologi dan Pengelolaan Daerah Aliran Air Sungai: Edisi Revisi Kelima. Yogyakarta: Gadjah Mada University Press.

Briak, H., Moussadek, R., Aboumaria, K., & Mrabet, R. (2016). Assessing sediment yield in Kalaya gauged watershed (Northern Morocco) using GIS and SWAT model. International Soil and Water Conservation Research, 4(3), 177–185. http://doi.org/10.1016/j.iswcr.2016.08.002

Christanto, N., Hadmoko, D. S., Westen, C. J., Lavigne, F., Sartohadi, J., & Setiawan, M. A. (2009). Characteristic and Behavior of Rainfall Induced Landslides in Java Island, Indonesia : an Overview. EGU General Assembly 2009, Held 19-24 April, 2009 in Vienna, Austria http://meetings.copernicus.org/egu2009, p.4069, 11, 4069. Retrieved from http://adsabs.harvard.edu/abs/2009EGUGA..11.4069C

Christanto, N., Sartohadi, J., Setiawan, M. A., Hadi, M. ., Jetten, V. G., & Shrestha, D. P. (2017). Investigating The Effect of Conservation Techniques on the Land Degradation of Tropical Catchment Prone to Landslide. Jurnal Geografi, UNNES, 14(2), 1–10.

Christanto, N., Shrestha, D. P., Jetten, V. G., & Setiawan, A. (2012). Modeling the effect of terraces on land degradation in tropical upland agricultural area. EGU General Assembly 2012, Held 22-27 April, 2012 in Vienna, Austria., p.1075, 14, 1075. Retrieved from http://adsabs.harvard.edu/abs/2012EGUGA..14.1075C

dos R. Pereira, D., Martinez, M. A., Pruski, F. F., & da Silva, D. D. (2016). Hydrological simulation in a basin of typical tropical climate and soil using the SWAT model part I: Calibration and validation tests. Journal of Hydrology: Regional Studies, 7, 14–37. http://doi.org/10.1016/j.ejrh.2016.05.002

Ferijal, T. (2013). Aplikasi Model SWAT Untuk Mensimulasikan Debit Sub DAS Krueng Meulesong Menggunakan Data Klimatologi Aktual Dan Data Klimatologi Hasil Perkiraan. Rona Teknik Pertanian, 6(1), 398–404.

Lin, B., Chen, X., Yao, H., Chen, Y., Liu, M., Gao, L., & James, A. (2015). Analyses of landuse change impacts on catchment runoff using different time indicators based on SWAT model. Ecological Indicators, 58, 55–63. http://doi.org/10.1016/j.ecolind.2015.05.031

Liu, R., Wang, Q., Xu, F., Men, C., & Guo, L. (2017). Impacts of manure application on SWAT model outputs in the Xiangxi River watershed. Journal of Hydrology, 555, 479–488. http://doi.org/10.1016/j.jhydrol.2017.10.044

Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. R. (2011). Soil and Water Assessment Tool Theoretical Documentation Version 2009 Texas Water Resources Institute. Retrieved from http://swat.tamu.edu/media/99192/swat2009-theory.pdf

Patil, A., & Ramsankaran, R. (2017). Improving streamflow simulations and forecasting performance of SWAT model by assimilating remotely sensed soil moisture observations. Journal of Hydrology, 555, 683–696. http://doi.org/10.1016/j.jhydrol.2017.10.058

Peraturan Pemerintah RI No. 37. (2012). Peraturan Pemerintah Republik Indonesia Nomor 37 Tahun 2012 Tentang Pengelolaan Daerah Aliran Sungai.

Polanco, E. I., Fleifle, A., Ludwig, R., & Disse, M. (2017). Improving SWAT model performance in the Upper Blue Nile River Basin using meteorological data integration and catchment scaling. Hydrology and Earth System Sciences Discussions, 1–28. http://doi.org/10.5194/hess-2016-664

Pyo, J., Pachepsky, Y. A., Kim, M., Baek, S., Lee, H., Cha, Y., … Cho, K. H. (2017). Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model. Environmental Modelling and Software. http://doi.org/10.1016/j.envsoft.2017.11.005

Rodriguez-Lloveras, X., Bussi, G., Francés, F., Rodriguez-Caballero, E., Solé-Benet, A., Calle, M., & Benito, G. (2015). Patterns of runoff and sediment production in response to land-use changes in an ungauged Mediterranean catchment. Journal of Hydrology, 531, 1054–1066. http://doi.org/10.1016/j.jhydrol.2015.11.014

Senent-Aparicio, J., Pérez-Sánchez, J., Carrillo-García, J., & Soto, J. (2017). Using SWAT and Fuzzy TOPSIS to Assess the Impact of Climate Change in the Headwaters of the Segura River Basin (SE Spain). Water, 9(3), 149. http://doi.org/10.3390/w9020149

Setiawan, M. A., Stoetter, J., Sartohadi, J., & Christanto, N. (2009). The Integrated Soil Erosion Risk Management Model of Central Java , Indonesia, 11.

Sun, L., Nistor, I., & Seidou, O. (2015). Streamflow data assimilation in SWAT model using Extended Kalman Filter. Journal of Hydrology, 531, 671–684. http://doi.org/10.1016/j.jhydrol.2015.10.060

Zhang, S., Fan, W., Li, Y., & Yi, Y. (2017). The influence of changes in land use and landscape patterns on soil erosion in a watershed. Science of The Total Environment, 574, 34–45. http://doi.org/10.1016/j.scitotenv.2016.09.024

DOI: https://doi.org/10.22146/mgi.32280