Analisis Perubahan Tata Guna Lahan Terhadap Debit Banjir Sub-Sub DAS Keyang-Slahung-Tempuran (KST)

M. Khuzaimy Rurroziq Basthoni

doi:10.29103/tj.v10i2.309

Analisis Perubahan Tata Guna Lahan Terhadap Debit Banjir Sub-Sub DAS Keyang-Slahung-Tempuran (KST)

M. Khuzaimy Rurroziq Basthoni

Abstract

Abstrak

Perubahan tata guna lahan mempengaruhi puncak debit banjir pada suatu DAS. Setiap tahunnya, Kota Ponorogo dilanda bencana banjir pada saat musim penghujan tiba. Penelitian ini bertujuan untuk menganalisis pengaruh perubahan tata guna lahan terhadap puncak debit banjir di sub-sub DAS Keyang-Slahung-Tempuran dengan menggunakan program bantu SWAT (Soil and Water Assessment Tool). Hasil penelitian menunjukan bahwa perubahan tata guna lahan berdampak pada peningkatan puncak debit banjir. Puncak debit banjir tertinggi terjadi pada tanggal 12 Maret 2018, dengan luas hutan 29,55% (tata guna lahan tahun 2015) menghasilkan puncak debit banjir 573,70 m³/s. Pada waktu dan penggunaan data curah hujan yang sama, puncak debit banjir terendah terjadi saat luas hutan 31,07% (tata guna lahan tahun 1990) yaitu 572,50 m³/s. Berdasarkan kondisi existing tata guna lahan saat ini, masih terjadi banjir sehingga diperlukan skenario pola tata guna lahan. Skenario tiga merupakan pola tata guna lahan yang optimal, dengan luasan hutan 45,37% menghasilkan puncak debit banjir 563,50 m³/s (siaga normal).

Kata kunci: puncak debit banjir, skenario, sub-sub DAS Keyang-Slahung-Tempuran, SWAT, tata guna lahan

Abstract

Land-use change impacts the peak of flood discharge on a watershed. Every year, Ponorogo was hit by a flood during the rainy season. This research aims to analyze the impact of land-use change to the peak of flood discharge in sub-sub watersheds Keyang-Slahung-Tempuran using SWAT (Soil and Water Assessment Tool). The result shows that land-use change has an impact on increasing the peak of flood discharge. The highest peak of flood discharge occurred on March 12, 2018, with a forest cover 29.55 % (land-use in 2015) has a peak of flood discharge 573.70 m³/s. At the same time and use of the same rainfall data, the lowest peak of flood discharge occurred when 31.07 % of forest cover (land-use in 1990) was 572.50 m³/s. Based on the existing condition of land-use, floods are still occurring so a land-use scenario is needed. Scenario three is the optimal land-use, with a forest cover 45.37 % obtained a peak of flood discharge 563.50 m³/s (normal alert).

Keywords: peak of flood, scenario, sub-sub watersheds of Keyang-Slahung-Tempuran, SWAT, land-use

Full Text:

PDF

References

Abbas, T., Nabi, G., Boota, M. W., Hussain, F., Faisal, M., Ahsan, H. Lahore, T., 2015. Impacts of Landuse Changes on Runoff Generation in Simly. Lahore 27(4), 3185–3191.

Armon R.H., Hanninen O., 2016. Environmental indicators. Springer. ISBN 9402403825 pp. 1068.

Arnold, J.G., R. Srinivasan., Muttiah R. S., dan Williams, J.R., 1998. Large-area hydrologic modeling and assessment: Part I. Model development. J. American Water Resour. Assoc. 34(1): 73-89.

Arnold, J.G., D.N. Moriasi, P.W. Gassman, K.C. Abbaspour, M.J. White, R. Srinivasan, C. Santhi, R.D. Harmel, A.V. Griensven, M.W.V. Liew, N. Kannan, and M.K. Jha. 2012. SWAT: model use, calibration, and validation. J. American Society of Agricultural and Biological Engineers, 55: 1491- 1508.

Cecilo, R. A., Pimentel, S. M., & Zanetti, S. S., 2019. Catena Modeling the in fl uence of forest cover on stream fl ows by di ff erent approaches. CATENA, 178(October 2018), 49–58. https://doi.org/10.1016/j.catena.2019.03.006

Chu, H. J., Liu, C. Y., & Wang, C. K., 2013. Identifying the relationships between water quality and land cover changes in the tseng-wen reservoir watershed of Taiwan. International Journal of Environmental Research and Public Health, 10(2), 478–489.

Harifa, A. C., Sholichin, M., & Prayogo, T. B., 2017. Analisa Pengaruh Perubahan Penutupan Lahan Terhadap Debit Sungai Sub DAS Metro dengan Menggunakan Program ARCSWAT. Jurnal Teknik Pengairan, 8(1), 1–14.

Kartodihardjo, H., 2008. Analisis kelembagaan pengelolaan daerah aliran sungai : konsep, Paradox dan Masalah, serta Upaya Peningkatan Kinerja. Makalah Lokakarya.

Lyu, L., Wang, X., Sun, C., Ren, T., & Zheng, D., 2019. Quantifying the Effect of Land Use Change and Climate Variability on Green Water Resources in the Xihe River Basin , Northeast China. Sustainability, 11(2), 338. https://doi.org/10.3390/su11020338

Mahmoud, S. H., & Alazba, A. A., 2015. Hydrological response to land cover changes and human activities in arid regions using a geographic information system and remote sensing. PLoS ONE, 10(4), 1–20.

Mubarok, Z., K. Murtilaksosno, dan E. D. Wahjunie., 2015. Study of land use change response to the hirological characteristics of Way Betung - Lampung watershed. Journal of Wallacea Forestry Research. 4(1). pp. 1 – 10.

Silva, G.M., A.A.O. Netto, J.J.R. Neves, N.A. Vasco, C. Ahmeida and G.G. Faccioli. 2015. Sensitivity analysis and calibration of hydrological modeling of the watershed Northeast Brazil. Journal of Environmental Protection. Campus São Cristóvão, Brazil.

Thakur, J. K., 2015. Optimizing groundwater monitoring networks using integrated statistical and geostatistical approaches. Hydrology 2 (3), 148–175.

Thakur, J. K., Khanal, K., & Poudyal, K., 2017. Land cover changes for enhancing water availability in watersheds of Tanahun and Kaski, Nepal. Journal of Water and Climate Change, 10(2)(October), 431–448. https://doi.org/10.2166/wcc.2017.001

WWF., 2012. Water Poverty of Indravati Basin, Analysis and Mapping. WWF, Nepal.

Zomorodian, S. M. A., & Dowlatabadi, S. 2019. Modeling of river discharge in the Firoozabad watershed using soil and water assessment tool model. International Journal of Energy and Water Resources, 3(0123456789), 13–21. https://doi.org/10.1007/s42108-018-0007-y.

DOI: https://doi.org/10.29103/tj.v10i2.309