Analysis of rainfall distribution in Kelantan river basin, Malaysia

Using rainfall gauge on its own as input carries great uncertainties regarding runoff estimation, especially when the area is large and the rainfall is measured and recorded at irregular spaced gauging stations. Hence spatial interpolation is the key to obtain continuous and orderly rainfall distrib...

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Main Authors: Che Ros Faizah, Tosaka Hiroyuki
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20183402020
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author Che Ros Faizah
Tosaka Hiroyuki
author_facet Che Ros Faizah
Tosaka Hiroyuki
author_sort Che Ros Faizah
collection DOAJ
description Using rainfall gauge on its own as input carries great uncertainties regarding runoff estimation, especially when the area is large and the rainfall is measured and recorded at irregular spaced gauging stations. Hence spatial interpolation is the key to obtain continuous and orderly rainfall distribution at unknown points to be the input to the rainfall runoff processes for distributed and semi-distributed numerical modelling. It is crucial to study and predict the behaviour of rainfall and river runoff to reduce flood damages of the affected area along the Kelantan river. Thus, a good knowledge on rainfall distribution is essential in early flood prediction studies. Forty six rainfall stations and their daily time-series were used to interpolate gridded rainfall surfaces using inverse-distance weighting (IDW), inverse-distance and elevation weighting (IDEW) methods and average rainfall distribution. Sensitivity analysis for distance and elevation parameters were conducted to see the variation produced. The accuracy of these interpolated datasets was examined using cross-validation assessment.
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spelling doaj.art-fa12f092780743a1bb34ec5e11d256d92022-12-21T20:30:44ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01340202010.1051/e3sconf/20183402020e3sconf_cenviron2018_02020Analysis of rainfall distribution in Kelantan river basin, MalaysiaChe Ros FaizahTosaka HiroyukiUsing rainfall gauge on its own as input carries great uncertainties regarding runoff estimation, especially when the area is large and the rainfall is measured and recorded at irregular spaced gauging stations. Hence spatial interpolation is the key to obtain continuous and orderly rainfall distribution at unknown points to be the input to the rainfall runoff processes for distributed and semi-distributed numerical modelling. It is crucial to study and predict the behaviour of rainfall and river runoff to reduce flood damages of the affected area along the Kelantan river. Thus, a good knowledge on rainfall distribution is essential in early flood prediction studies. Forty six rainfall stations and their daily time-series were used to interpolate gridded rainfall surfaces using inverse-distance weighting (IDW), inverse-distance and elevation weighting (IDEW) methods and average rainfall distribution. Sensitivity analysis for distance and elevation parameters were conducted to see the variation produced. The accuracy of these interpolated datasets was examined using cross-validation assessment.https://doi.org/10.1051/e3sconf/20183402020
spellingShingle Che Ros Faizah
Tosaka Hiroyuki
Analysis of rainfall distribution in Kelantan river basin, Malaysia
E3S Web of Conferences
title Analysis of rainfall distribution in Kelantan river basin, Malaysia
title_full Analysis of rainfall distribution in Kelantan river basin, Malaysia
title_fullStr Analysis of rainfall distribution in Kelantan river basin, Malaysia
title_full_unstemmed Analysis of rainfall distribution in Kelantan river basin, Malaysia
title_short Analysis of rainfall distribution in Kelantan river basin, Malaysia
title_sort analysis of rainfall distribution in kelantan river basin malaysia
url https://doi.org/10.1051/e3sconf/20183402020
work_keys_str_mv AT cherosfaizah analysisofrainfalldistributioninkelantanriverbasinmalaysia
AT tosakahiroyuki analysisofrainfalldistributioninkelantanriverbasinmalaysia