CN Modeling for Predicting Discharge in Lesti Sub-watershed
Abdul Azis Hoesein1, Mohammad Bisri2, Lily Montarcih Limantara3, Ery Suhartanto4
1Abdul Azis Hoesein*, Doctoral Program in the Department of Civil Engineering, Faculty of Engineering, University of Brawijaya, Malang, Indonesia.
2Mohammad Bisri, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia.
3Lily Montarcih Limantara, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia.
4Ery Suhartanto, Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia.
Manuscript received on September 18, 2019. | Revised Manuscript received on 28 September, 2019. | Manuscript published on October 10, 2019. | PP: 4890-4896 | Volume-8 Issue-12, October 2019. | Retrieval Number: L35441081219/2019©BEIESP | DOI: 10.35940/ijitee.L3544.1081219
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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: This research intends to accurately mapping the Curve Number (CN) that is as the function of cover type, land use treatment, hydrology condition, and hydrologic soil group in the Lesti sub-watershed,. The methodology consists of to build the suitable CN modeling for predicting discharge in the Lesti sub-watershed and then to evaluate the result accurately. The value of CN is obtained from the mathematical formula with the input is rainfall depth and discharge. The result of CN modeling for the Lesti sub-watershed is accurate enough as is made by the United States Department of Agriculture (USDA) in USA. In addition, the CN mapping can be directly used by the engineers of the manager and designer on the water resources structures in Lesti sub-watershed.
Keywords: Curve Number (CN), Hydrology, Lesti,Zone-C
Scope of the Article: Social Sciences