Regional Estimation of Flood Quantile at Ungauged Sites

Basri Badyalina
Basri Badyalina
Ani Shabri
Ani Shabri
Nur Amalina Mat Jan
Nur Amalina Mat Jan
University of Technology Malaysia

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Regional Estimation of Flood Quantile at Ungauged Sites

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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.

References

5 Cites in Article
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  2. Abdullah Mamun,Alias Hashim,Zalin Amir (2011). Regional Statistical Models for the Estimation of Flood Peak Values at Ungauged Catchments: Peninsular Malaysia.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Basri Badyalina. 2016. \u201cRegional Estimation of Flood Quantile at Ungauged Sites\u201d. Global Journal of Science Frontier Research - H: Environment & Environmental geology GJSFR-H Volume 16 (GJSFR Volume 16 Issue H4).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords
Classification
GJSFR-H Classification FOR Code: 300105
Version of record

v1.2

Issue date
November 22, 2016

Language
en
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Regional Estimation of Flood Quantile at Ungauged Sites

Basri Badyalina
Basri Badyalina <p>University of Technology Malaysia</p>
Ani Shabri
Ani Shabri
Nur Amalina Mat Jan
Nur Amalina Mat Jan

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