| dc.identifier.citation | Asdak, C., 1995. Hidrologi dan Pengelolaan daerah Aliran Sungai. Gadjah Mada University Press, Yogyakarta. Dulbahri, 1992. Kemampuan Teknik Penginderaan Jauh untuk Kajian Agihan dan Pemetaan Air tanah di Daerah Aliran Sungai Progo. Disertasi Doktor. Fakultas Geografi Universitas Gadjah Mada, Yogyakarta. Garg, S.K., 1979. Water Resources and Hydrology. Khana Publisher, New Delhi. Gunawan, T. 2002. Pemanfaatan Penginderaan jauh dan Sistem Informasi Geografis untuk Monitoring Evaluasi Pengelolaan Daerah Aliran Sungai (Studi Kasus DAS Bengawan Solo). Makalah Seminar Monitoring dan Evaluasi Pengelolaan DAS. Balai Penelitian dan Pengembangan Teknologi Pengelolaan DAS : Surakarta. Prahasta, E., 2004. Sistem Informasi Geografis: Tutorial ArcView. Informatika: Bandung. Purnama, S., 2004. Infiltrasi Tanah di Kecamatan Nguter, Kabupaten Sukoharjo, Propinsi Jawa Tengah. Majalah Geografi Indonesia, Volume 18, Nomor 1, Maret 2004. Fakultas Geografi Universitas Gadjah Mada, Yogyakarta. Syahbani, T., 2003. Penggunaan Teknik Penginderaan Jauh dan Sistem Informasi Geografis untuk Penilaian Kondisi Resapan Sub. DAS Garang Semarang. Skripsi Sarjana. Fakultas Geografi Universitas Gadjah Mada, Yogyakarta. | en_US |
| dc.description.abstract | The research is conducted in the Galeh Watershed, which is a sub watershed of the
upper course of Progo. The research aims to map the determinant factors of relative
quantity potential of the groundwater by using Geographical Information System. The
method of the research is survey by using sample of the zone of selected mapped
potential factors. The mapping method is by plotting the secondary data and interpreting
Citra Landsat visual. The method of analyzing data is spatial analysis by using GIS
technology. The result of the research shows that the determinant factors of the relative
quantity potential of the groundwater in the research setting have many varieties. The
wide of the research setting is about 298.86 km2 or 29886 Ha. The kind of lava rock
dominates with the wide of 129.6 km2 or 43.7%; the dominant ground type is Latosol in
the wide of 171.22 km2 or 57.72%, the widest slope aslant is 0-3% in the spread out area
of 135.49 km2 or 45.33%, while the widest area use is irrigation rice field, that is 127.92
km2 or 43.12%. The precision of the interpretation of the Citra Landsat for the slope
aslant and the use of each area are 82.35% and 86.23%, meaning that the accurate of
mapping can be accepted because it is more than 80.00%. The result of the spatial
analysis using GIS shows that in the research setting, there are 116 area units, with the
relative quantity potentials of groundwater: 2 (two) area units are included in the ‘low’ potential class (7.62 km2 or 2.54%); 71 area units are included in the ‘middle’ potential class (175.25 km2 or 58.64%); and 43 area units are included in the ‘high’ potential class (115.99 km2 or 38.82%). | en_US |
