Prediction of future trend of the long term streamflow pattern in the context of climate change

Climate change has to be one of the greatest environmental threats to the world and it has been measured that a greater negative impacts on human society and to the natural environment changes when it climates are drastically change. General Circulation Models (GCM) stated that the increment of conc...

Full description

Bibliographic Details
Main Author:	Nurul Hazirah, Mohd Saad
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2017
Subjects:	QC Physics TC Hydraulic engineering. Ocean engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21115/ http://umpir.ump.edu.my/id/eprint/21115/ http://umpir.ump.edu.my/id/eprint/21115/1/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/21115/7/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Abstract.pdf http://umpir.ump.edu.my/id/eprint/21115/13/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/21115/19/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-References.pdf

id	ump-21115
recordtype	eprints
spelling	ump-211152018-06-27T01:30:33Z http://umpir.ump.edu.my/id/eprint/21115/ Prediction of future trend of the long term streamflow pattern in the context of climate change Nurul Hazirah, Mohd Saad QC Physics TC Hydraulic engineering. Ocean engineering Climate change has to be one of the greatest environmental threats to the world and it has been measured that a greater negative impacts on human society and to the natural environment changes when it climates are drastically change. General Circulation Models (GCM) stated that the increment of concentration of greenhouse gases will have significant implications for climate at regional scales. In this simulation which so-called “downscaling” techniques are used to describe as a decision support tool for local climate change impacts. Statistical Downscaling Model (SDSM) is beneficial the rapid development of multiple, low cost, single-site scenarios of daily weather variables and future regional climate force. The application of SDSM is applied to simulate with respect to the generation of daily temperature and rainfall scenarios for Temerloh River, Pahang for 2040-2069. However, in this studies is supported on the capability of IHACRES model in area where hydrological data has a limitation factor. The IHACRES model is being applied in a regionalization approach to develop streamflow prediction. Using IHACRES rainfall-runoff model, it is a non-linear loss module which is to calculate the effective rainfall and routing a linear module converting effective rainfall into streamflow. 2017-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21115/1/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Table%20of%20contents.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21115/7/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21115/13/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/21115/19/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-References.pdf Nurul Hazirah, Mohd Saad (2017) Prediction of future trend of the long term streamflow pattern in the context of climate change. Faculty of Civil Engineering and Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:102629&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	QC Physics TC Hydraulic engineering. Ocean engineering
spellingShingle	QC Physics TC Hydraulic engineering. Ocean engineering Nurul Hazirah, Mohd Saad Prediction of future trend of the long term streamflow pattern in the context of climate change
description	Climate change has to be one of the greatest environmental threats to the world and it has been measured that a greater negative impacts on human society and to the natural environment changes when it climates are drastically change. General Circulation Models (GCM) stated that the increment of concentration of greenhouse gases will have significant implications for climate at regional scales. In this simulation which so-called “downscaling” techniques are used to describe as a decision support tool for local climate change impacts. Statistical Downscaling Model (SDSM) is beneficial the rapid development of multiple, low cost, single-site scenarios of daily weather variables and future regional climate force. The application of SDSM is applied to simulate with respect to the generation of daily temperature and rainfall scenarios for Temerloh River, Pahang for 2040-2069. However, in this studies is supported on the capability of IHACRES model in area where hydrological data has a limitation factor. The IHACRES model is being applied in a regionalization approach to develop streamflow prediction. Using IHACRES rainfall-runoff model, it is a non-linear loss module which is to calculate the effective rainfall and routing a linear module converting effective rainfall into streamflow.
format	Undergraduates Project Papers
author	Nurul Hazirah, Mohd Saad
author_facet	Nurul Hazirah, Mohd Saad
author_sort	Nurul Hazirah, Mohd Saad
title	Prediction of future trend of the long term streamflow pattern in the context of climate change
title_short	Prediction of future trend of the long term streamflow pattern in the context of climate change
title_full	Prediction of future trend of the long term streamflow pattern in the context of climate change
title_fullStr	Prediction of future trend of the long term streamflow pattern in the context of climate change
title_full_unstemmed	Prediction of future trend of the long term streamflow pattern in the context of climate change
title_sort	prediction of future trend of the long term streamflow pattern in the context of climate change
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/21115/ http://umpir.ump.edu.my/id/eprint/21115/ http://umpir.ump.edu.my/id/eprint/21115/1/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Table%20of%20contents.pdf http://umpir.ump.edu.my/id/eprint/21115/7/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Abstract.pdf http://umpir.ump.edu.my/id/eprint/21115/13/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/21115/19/Prediction%20of%20future%20trend%20of%20the%20long%20term%20streamflow%20pattern%20in%20the%20context%20of%20climate%20change-References.pdf
first_indexed	2023-09-18T22:30:51Z
last_indexed	2023-09-18T22:30:51Z
_version_	1777416275794853888

Prediction of future trend of the long term streamflow pattern in the context of climate change

Similar Items