Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad

The impact of flow during extreme weather like heavy rainfall in short period of time may cause flash flood that the water discharged contains of soil. The aim of this research is to estimate the magnitude of flow using hydrological modeling in UiTM Arau. The data collection was obtained from sit...

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Main Author: Noordin Ahmad, Azmaya
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/22519/1/TD_AZMAYA%20NOORDIN%20AHMAD%20AP%20R%2018.5.PDF
http://ir.uitm.edu.my/id/eprint/22519/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.22519
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spelling my.uitm.ir.225192018-12-26T06:14:04Z http://ir.uitm.edu.my/id/eprint/22519/ Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad Noordin Ahmad, Azmaya Hydrology. Water Computer simulation The impact of flow during extreme weather like heavy rainfall in short period of time may cause flash flood that the water discharged contains of soil. The aim of this research is to estimate the magnitude of flow using hydrological modeling in UiTM Arau. The data collection was obtained from site measurements. The measurement of drainage was taken with the depth and length of the drainage. The results of flow measurements can be obtained from the simulation of XPSWMM. This study is to analysis of the graph analysis and the estimation of flow in UiTM Perlis either it high or low the water discharge specifically in campus area. The results will display in graph analysis between RMSE Observed and RMSE Model. RMSE Model for Catchment 1 is 0.38m^/s while RMSE Observed is 0.40mVs and the different is only 0.04mVs. While for Catchment 2, RMSE Model is O.bSmVs and RMSE Observed is 0.77mVs. Lastly, RMSE Model for Catchment 3 is O.SOmVs and RMSE Observed is 0.517m^/s. The different between reading Catchment 2 and Catchment 3 are 0.1 Im^/s and 0.012m^/s respectively. It is shown that the RMSE Model is smaller than RMSE Observed. In conclusion, the results obtained to prove that the data model is more accurate compare to data observed. Therefore, it proves that the entire data model is better and accurate beside it also can be the best line for Root Mean Square Error. 2018-12 Thesis NonPeerReviewed other en http://ir.uitm.edu.my/id/eprint/22519/1/TD_AZMAYA%20NOORDIN%20AHMAD%20AP%20R%2018.5.PDF Noordin Ahmad, Azmaya (2018) Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad. Degree thesis, Universiti Teknologi Mara Perlis.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Hydrology. Water
Computer simulation
spellingShingle Hydrology. Water
Computer simulation
Noordin Ahmad, Azmaya
Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
description The impact of flow during extreme weather like heavy rainfall in short period of time may cause flash flood that the water discharged contains of soil. The aim of this research is to estimate the magnitude of flow using hydrological modeling in UiTM Arau. The data collection was obtained from site measurements. The measurement of drainage was taken with the depth and length of the drainage. The results of flow measurements can be obtained from the simulation of XPSWMM. This study is to analysis of the graph analysis and the estimation of flow in UiTM Perlis either it high or low the water discharge specifically in campus area. The results will display in graph analysis between RMSE Observed and RMSE Model. RMSE Model for Catchment 1 is 0.38m^/s while RMSE Observed is 0.40mVs and the different is only 0.04mVs. While for Catchment 2, RMSE Model is O.bSmVs and RMSE Observed is 0.77mVs. Lastly, RMSE Model for Catchment 3 is O.SOmVs and RMSE Observed is 0.517m^/s. The different between reading Catchment 2 and Catchment 3 are 0.1 Im^/s and 0.012m^/s respectively. It is shown that the RMSE Model is smaller than RMSE Observed. In conclusion, the results obtained to prove that the data model is more accurate compare to data observed. Therefore, it proves that the entire data model is better and accurate beside it also can be the best line for Root Mean Square Error.
format Thesis
author Noordin Ahmad, Azmaya
author_facet Noordin Ahmad, Azmaya
author_sort Noordin Ahmad, Azmaya
title Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
title_short Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
title_full Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
title_fullStr Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
title_full_unstemmed Application of hydrological medelling to estimate flow using [XPSWMM] /Azmaya Noordin Ahmad
title_sort application of hydrological medelling to estimate flow using [xpswmm] /azmaya noordin ahmad
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/22519/1/TD_AZMAYA%20NOORDIN%20AHMAD%20AP%20R%2018.5.PDF
http://ir.uitm.edu.my/id/eprint/22519/
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