Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia

Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia

The objective of the present study was to predict the runoff in Seulimeum River sub watershed by utilizing an aggregation hydrology model. The method in this research consisted of field observation, collecting data and map, testing model, and analyzing data. Some parameters were used as the inputs on the model, such as: maximum storage, actual groundwater storage, soil moisture, and the constant of soil moisture k(t). The aggregation hydrology model was tested using 3 (three) statistical parameters, such as; determination coefficient (R2), biased percentage (PBIAS), and Nash-Sutcliffe coefficient (ENS). The result showed that the minimum runoff occured in 1998 was 70.22 mm and the maximum runoff occurred in 1987 was 759.12 mm. The model testing showed that the aggregation hydrology model had a good performance in predicting the discharge of Krueng Seulimemum Sub Watershed; the R2, P biased, and ENS resulted 0.92, -5.21%, and 0.90, respectively

Chairani, Susi

Ferijal, T.; Department of Agricultural Engineering, Syiah Kuala University, Banda Aceh, Indonesia

Heryanty, Ulva

Aceh International Journal of Science and Technology; Vol 3, No 3: September - December 2014

2088-9860

Graduate School of Syiah Kuala University

2014-11-04

http://jurnal.unsyiah.ac.id/AIJST/article/view/1998/pdf_5

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article

http://jurnal.unsyiah.ac.id/AIJST/article/view/1998

10.13170/aijst.3.3.1998