Regional Estimation of Flood Quantile at Ungauged Sites

Regional Estimation of Flood Quantile at Ungauged Sites

Basri Badyalina

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Ani Shabri

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Nur Amalina Mat Jan

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1 Univerisiti Teknologi Malaysia

GJSFR Volume 16 Issue H4

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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.

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References

M Sivapalan,K Takeuchi,S Franks,V Gupta,H Karambiri,V Lakshmi,X Liang,J Mcdonnell,E Mendiondo,P O'connell,T Oki,J Pomeroy,D Schertzer,S Uhlenbrook,E Zehe (2003). IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences.
Abdullah Mamun,Alias Hashim,Zalin Amir (2011). Regional Statistical Models for the Estimation of Flood Peak Values at Ungauged Catchments: Peninsular Malaysia.
V Smakhtin (2001). Low flow hydrology: a review.
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S Archfield,A Pugliese,A Castellarin,J Skøien,J Kiang (2013). Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?.

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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.

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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GJSFR Volume 16 Issue H4
Pg. 73- 74

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-H Classification: FOR Code: 300105

Submission ReceivedSeptember 25, 2016
RevisedSeptember 25, 2016
Peer Review Double Blind
Handling Editor
Accepted October 18, 2016
Published November 2, 2016

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v1.2

Issue date

November 22, 2016

Language

English

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Article Matrices

Total Score: 103

Country: Malaysia

Subject: Global Journal of Science Frontier Research - H: Environment & Environmental geology

Authors: Basri Badyalina, Ani Shabri, Nur Amalina Mat Jan (PhD/Dr. count: 0)

View Count (all-time): 151

Total Views (Real + Logic): 3715

Total Downloads (simulated): 1988

Publish Date: 2016 11, Tue

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Total Views: 3715

Total Downloads: 1988

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