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Analysis of Runoff Aggregation Structures with Different Flow Direction Methods under the Framework of Power Law Distribution

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dc.citedby8
dc.contributor.authorKok K.en_US
dc.contributor.authorMohd Sidek L.en_US
dc.contributor.authorJung K.en_US
dc.contributor.authorKim J.C.en_US
dc.contributor.authorid55812179300en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid37015343400en_US
dc.contributor.authorid57191682267en_US
dc.date.accessioned2023-05-29T06:50:35Z
dc.date.available2023-05-29T06:50:35Z
dc.date.issued2018
dc.descriptionDispersions; Maximum likelihood estimation; Parameter estimation; Aggregation structure; Flow accumulation; Flow direction; Multiple flows; Power law distribution; Runoff; digital elevation model; flow pattern; parameter estimation; power law distribution; river basin; river flow; runoff; size distribution; Ganges Basin; Platanistaen_US
dc.description.abstractThe main purpose of this study is to evaluate the performances of different flow direction methods (FDM) in affecting the runoff aggregation structures within a watershed under the framework of power law distribution. To this end, SFD (single flow direction method), MFD (multiple flow direction method) and IFD (Infinite flow direction method) were applied for determination of flow direction for water particles in Susu river basin, and consequently assessed with respect to the variation of flow accumulation. The results indicate that different patterns of flow accumulation were observed from each flow direction method. Effect of flow dispersion on DEM is strongest with ascending order of SFD, IFD, MFD. However, contribution of individual pixels into outlet follows descending order of SFD, IFD, MFD. Notably MFD and IFD tend to make additional hydrologic abstraction from rainfall excess due to the flow dispersion within the flow paths generated on DEM. This study also investigated the size distribution of flow accumulation which is equivalent to the drainage area generated from the selected FDM. They were fitted to the power law distribution and flow accumulation was recognized as a scale invariance factor based on the parameter estimation for power law distribution by maximum likelihood. It was also noticed that FDM affects the parameter estimation of power distribution where highest exponent was estimated for MFD following by IFD and SFD. � 2018, Springer Nature B.V.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11269-018-2074-6
dc.identifier.epage4623
dc.identifier.issue14
dc.identifier.scopus2-s2.0-85051847342
dc.identifier.spage4607
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051847342&doi=10.1007%2fs11269-018-2074-6&partnerID=40&md5=b4cb5698e8f19851d3f9b2a1e91413ec
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23626
dc.identifier.volume32
dc.publisherSpringer Netherlandsen_US
dc.sourceScopus
dc.sourcetitleWater Resources Management
dc.titleAnalysis of Runoff Aggregation Structures with Different Flow Direction Methods under the Framework of Power Law Distributionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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