Regional Estimation of Flood Quantile at Ungauged Sites

Article ID

J3AHG

Regional Estimation of Flood Quantile at Ungauged Sites

Basri Badyalina
Basri Badyalina Univerisiti Teknologi Malaysia
Ani Shabri
Ani Shabri
Nur Amalina Mat Jan
Nur Amalina Mat Jan
DOI

Abstract

In this study, Linear Regression (LR) is performance is investigated with and without implementation of Topological Kriging (TK). The aims of this study to determine the used of TK can improve the performance of LR by grouping the basin which have similar hydrology characteristics. Then LR only model the relationship inside the regions. The result show that LR based TK is more reliable in term of estimation accuracy.

Regional Estimation of Flood Quantile at Ungauged Sites

In this study, Linear Regression (LR) is performance is investigated with and without implementation of Topological Kriging (TK). The aims of this study to determine the used of TK can improve the performance of LR by grouping the basin which have similar hydrology characteristics. Then LR only model the relationship inside the regions. The result show that LR based TK is more reliable in term of estimation accuracy.

Basri Badyalina
Basri Badyalina Univerisiti Teknologi Malaysia
Ani Shabri
Ani Shabri
Nur Amalina Mat Jan
Nur Amalina Mat Jan

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Basri Badyalina. 2016. “. Global Journal of Science Frontier Research – H: Environment & Environmental geology GJSFR-H Volume 16 (GJSFR Volume 16 Issue H4): .

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Issue Cover
GJSFR Volume 16 Issue H4
Pg. 73- 74
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GJSFR-H Classification: FOR Code: 300105
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Regional Estimation of Flood Quantile at Ungauged Sites

Basri Badyalina
Basri Badyalina Univerisiti Teknologi Malaysia
Ani Shabri
Ani Shabri
Nur Amalina Mat Jan
Nur Amalina Mat Jan

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