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Identification of Potential Surface Water Sources Using Digital Elevation Model in District of North Buton
Mukhsan Putra Hatta1, Farouk Maricar2, Arham Samauna3

1Mukhsan Putra Hatta, Department of Civil Engineering, Faculty of Engineering, University of Hasanuddin,  Makassar, Indonesia.

2Farouk Maricar, Department of Civil Engineering, Faculty of Engineering, University of Hasanuddin,  Makassar, Indonesia.

3Arham Samauna, Department of Civil Engineering, Faculty of Engineering, University of Hasanuddin,  Makassar, Indonesia.

Manuscript received on 01 February 2019 | Revised Manuscript received on 07 February 2019 | Manuscript Published on 13 February 2019 | PP: 63-67 | Volume-8 Issue- 4S February 2019 | Retrieval Number: DS2834028419/2019©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: District of North Buton is a dry area with low rainfall and the region is immeasurable. Therefore, the use of spatial data from scientific research institutions (NASA and BIG) can be done as an alternative to analyze the potential of surface water sources in North Buton District. The purpose of this research is to identify the location of surface water resource in the District of North Buton, so that it can be known whether the location of the catchment area and the amount of discharge. The method used in this study is simulated using open source software-based Geographic Information System (GIS). Based on the catchment area, rainfall distribution value and runoff coefficient value, the mean annual discharge can be determine which is a potential source of surface water. This research resulted in the potential for surface water sources North Buton is a potential point 1 to point potential Catchment 32 with the highest discharge value is 15.1222 m³ / sec (Catchment potential point 10) and the lowest discharge value is 0.525 m³ / sec (Catchment potential point 29).

Keywords: Geographic Information System (GIS), Surface Water Resourcen.
Scope of the Article: Computational Techniques in Civil Engineering