Cover Image

Evaluation the performances of stochastic streamflow models for the multi reservoirs

Pedu-Muda reservoirs responsible to supply sufficient water capacity during paddy cultivation period twice a year. Thus, improper management and operation of the reservoirs creating the scarcity issue of water availability especially during dry season. Synthetic streamflow being as a main role in pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Tukiman, Nurul Nadrah Aqilah, Harun, Sobri
Format: Article
Published: Penerbit UTHM 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/97842/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/6471
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.97842
record_format eprints
spelling my.utm.978422022-11-07T09:48:29Z http://eprints.utm.my/id/eprint/97842/ Evaluation the performances of stochastic streamflow models for the multi reservoirs Tukiman, Nurul Nadrah Aqilah Harun, Sobri TA Engineering (General). Civil engineering (General) Pedu-Muda reservoirs responsible to supply sufficient water capacity during paddy cultivation period twice a year. Thus, improper management and operation of the reservoirs creating the scarcity issue of water availability especially during dry season. Synthetic streamflow being as a main role in predicting the capability and sustainability of these reservoirs to cope the demand. This study evaluated the performances of stochastic streamflow model to produce the synthetic streamflow generation. Two comparable models, Valencia Schaake (VS) and Thomas Fiering (TF) represented for disaggregation and aggregation models, respectively. Each model was analyzed for 100 times of simulation to generate the long-term synthetic streamflow. There were 3 basis of the statistical analyses consist of lag one correlation, mean, mean absolute error (MAE), and standard deviation (St.D) of annual and monthly levels for both models were evaluated to compare the model performances. The results revealed the generated streamflow series by VS models had better performances to the historical streamflow record than the TF model in term of annual and monthly excepted on Feb, Aug, Sept, and Oct with less correlation values. The errors of these months between historical and generated correlation values are in the range of 0.14 to 0.20. However, both models can preserve a good agreement to the mean even the range of monthly streamflow were overestimated/underestimated by VS and TF models respectively. The average annual generated streamflow is predicted to reduce 0.7% (by VS) and 2.4% (by TF) from the historical record. Penerbit UTHM 2021 Article PeerReviewed Tukiman, Nurul Nadrah Aqilah and Harun, Sobri (2021) Evaluation the performances of stochastic streamflow models for the multi reservoirs. International Journal of Integrated Engineering, 13 (1). pp. 303-310. ISSN 2229-838X https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/6471 NA
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Tukiman, Nurul Nadrah Aqilah
Harun, Sobri
Evaluation the performances of stochastic streamflow models for the multi reservoirs
description Pedu-Muda reservoirs responsible to supply sufficient water capacity during paddy cultivation period twice a year. Thus, improper management and operation of the reservoirs creating the scarcity issue of water availability especially during dry season. Synthetic streamflow being as a main role in predicting the capability and sustainability of these reservoirs to cope the demand. This study evaluated the performances of stochastic streamflow model to produce the synthetic streamflow generation. Two comparable models, Valencia Schaake (VS) and Thomas Fiering (TF) represented for disaggregation and aggregation models, respectively. Each model was analyzed for 100 times of simulation to generate the long-term synthetic streamflow. There were 3 basis of the statistical analyses consist of lag one correlation, mean, mean absolute error (MAE), and standard deviation (St.D) of annual and monthly levels for both models were evaluated to compare the model performances. The results revealed the generated streamflow series by VS models had better performances to the historical streamflow record than the TF model in term of annual and monthly excepted on Feb, Aug, Sept, and Oct with less correlation values. The errors of these months between historical and generated correlation values are in the range of 0.14 to 0.20. However, both models can preserve a good agreement to the mean even the range of monthly streamflow were overestimated/underestimated by VS and TF models respectively. The average annual generated streamflow is predicted to reduce 0.7% (by VS) and 2.4% (by TF) from the historical record.
format Article
author Tukiman, Nurul Nadrah Aqilah
Harun, Sobri
author_facet Tukiman, Nurul Nadrah Aqilah
Harun, Sobri
author_sort Tukiman, Nurul Nadrah Aqilah
title Evaluation the performances of stochastic streamflow models for the multi reservoirs
title_short Evaluation the performances of stochastic streamflow models for the multi reservoirs
title_full Evaluation the performances of stochastic streamflow models for the multi reservoirs
title_fullStr Evaluation the performances of stochastic streamflow models for the multi reservoirs
title_full_unstemmed Evaluation the performances of stochastic streamflow models for the multi reservoirs
title_sort evaluation the performances of stochastic streamflow models for the multi reservoirs
publisher Penerbit UTHM
publishDate 2021
url http://eprints.utm.my/id/eprint/97842/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/6471
_version_ 1751536111223570432
score 13.211869

Similar Items