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 o...

Full description

Saved in:
Bibliographic Details
Main Authors: Susi Chairani, T. Ferijal, Ulva Heryanty
Format: Article
Language:English
Published: Syiah Kuala University 2014-11-01
Series:Aceh International Journal of Science and Technology
Online Access:https://jurnal.usk.ac.id/AIJST/article/view/1998
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850032765342318592
author Susi Chairani
T. Ferijal
Ulva Heryanty
author_facet Susi Chairani
T. Ferijal
Ulva Heryanty
author_sort Susi Chairani
collection DOAJ
description 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
format Article
id doaj-art-3d3970a7de464e4fb4f19dea9672ea9e
institution DOAJ
issn 2088-9860
language English
publishDate 2014-11-01
publisher Syiah Kuala University
record_format Article
series Aceh International Journal of Science and Technology
spelling doaj-art-3d3970a7de464e4fb4f19dea9672ea9e2025-08-20T02:58:30ZengSyiah Kuala UniversityAceh International Journal of Science and Technology2088-98602014-11-013315916710.13170/aijst.3.3.19981921Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, IndonesiaSusi ChairaniT. FerijalUlva HeryantyThe 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, respectivelyhttps://jurnal.usk.ac.id/AIJST/article/view/1998
spellingShingle Susi Chairani
T. Ferijal
Ulva Heryanty
Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
Aceh International Journal of Science and Technology
title Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
title_full Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
title_fullStr Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
title_full_unstemmed Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
title_short Runoff Prediction Using an Aggregation Hydrology Model on Seulimum River Sub Watershed, Aceh Province, Indonesia
title_sort runoff prediction using an aggregation hydrology model on seulimum river sub watershed aceh province indonesia
url https://jurnal.usk.ac.id/AIJST/article/view/1998
work_keys_str_mv AT susichairani runoffpredictionusinganaggregationhydrologymodelonseulimumriversubwatershedacehprovinceindonesia
AT tferijal runoffpredictionusinganaggregationhydrologymodelonseulimumriversubwatershedacehprovinceindonesia
AT ulvaheryanty runoffpredictionusinganaggregationhydrologymodelonseulimumriversubwatershedacehprovinceindonesia