Simulasi Perubahan Penggunaan Lahan Terhadap Karakteristik Hidrologi Daerah Aliran Sungai Ciliman:

Leonard Kristofery; Kukuh Murtilaksono; Dwi Putro Tejo Baskoro

doi:10.29244/jitl.21.2.66-71

Leonard Kristofery Program Studi Ilmu Pengelolaan DAS Sekolah Pascasarjana IPB, Kampus IPB Darmaga
Kukuh Murtilaksono Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University, Jl. Meranti Kampus IPB Darmaga Bogor 16680
Dwi Putro Tejo Baskoro Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University, Jl. Meranti Kampus IPB Darmaga Bogor 16680

DOI: https://doi.org/10.29244/jitl.21.2.66-71

Keywords: Runoff, soil conservation, watershed, water conservation

Abstract

The Ciliman Watershed is one of the watersheds in Kabupeten Lebak and Kabupaten Pandeglang with a total area ± 500 km². According to report of Badan Nasional Penanggulangan Bencana (BNPB) Serang City, flooding often occurs in the Ciliman watershed because of the overflow of the Ciliman tributaries, this occurs because of the conversion of land use in the upstream area of Ciliman watershed so that during the rainy season, rainwater does not seep into the ground but directly into runoff. The aims of the research is to simulate several soil and water conservation as an effort to better manage the Ciliman watershed and determine the best land use scenario in accordance with the biophysical Ciliman watershed. This study applied SWAT model as a tool to simulate several soil and water conservation technical at Ciliman watershed. The scenarios simulated were: 0) existing condition, 1) application of forest area functions, 2) application of soil and water conservation techniques using RTK RHL, 3) application of regional spatial planning (RTRW). The results showed that scenario 2 (RTK RHL) was the best scenario by overall. Scenario 2 can reduce the Qmax/Q min ratio by 31.63% compared to other scenarios. And also can reduce coefficient of runoff by 24% and direct runoff by 23.55% and increase baseflow by 16.20% and water yield by 1.77%.

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