Skip navigation
Skip navigation

Effects of different precipitation inputs on streamflow simulation in the Irrawaddy River Basin, Myanmar

Sirisena, T. A. J. G.; Maskey, Shreedhar; Ranasinghe, Roshanka; Babel, M. S.

Description

Study region The Irrawaddy River Basin, Myanmar. Study focus Precipitation is the most important input variable to numerically simulate the hydrological responses of a river basin. Nowadays, a number of precipitation data products with different spatial and temporal resolutions are available. However, the accuracy of these products may vary greatly and the variations may themselves differ in different river basins. Such differences have direct implications on the use of these datasets in...[Show more]

dc.contributor.authorSirisena, T. A. J. G.
dc.contributor.authorMaskey, Shreedhar
dc.contributor.authorRanasinghe, Roshanka
dc.contributor.authorBabel, M. S.
dc.date.accessioned2020-04-07T01:39:34Z
dc.date.available2020-04-07T01:39:34Z
dc.identifier.issn2214-5818
dc.identifier.urihttp://hdl.handle.net/1885/202784
dc.description.abstractStudy region The Irrawaddy River Basin, Myanmar. Study focus Precipitation is the most important input variable to numerically simulate the hydrological responses of a river basin. Nowadays, a number of precipitation data products with different spatial and temporal resolutions are available. However, the accuracy of these products may vary greatly and the variations may themselves differ in different river basins. Such differences have direct implications on the use of these datasets in hydrological modelling. Here, using a hydrological model, we investigated the effects of four precipitation datasets (in-situ gauge precipitation with and without interpolation, PERSIANN-CDR, and CHIRPS) on streamflow simulations in the Irrawaddy Basin in Myanmar. New hydrological insights for the study region We identified considerable differences in streamflow simulation with the use of different precipitation inputs. The four datasets showed varied annual and seasonal precipitation values over the basin. Although the gauge density within the study area is very low, streamflow simulations forced with interpolated gauge data outperformed the models forced with other datasets. However, simulations forced with CHIRPS and PERSIANN-CDR also showed good results in most cases in terms of Nash Efficiency and R2, but mostly with high biases. In calibration, the four precipitation inputs resulted in varied best-fitted parameter values and ranges. All the above observations indicate that the selection of suitable precipitation input(s) is necessary for an accurate investigation of the hydrological responses of any given basin.
dc.description.sponsorshipJGS is supported by the Netherlands Fellowship Programme (NFP). RR is supported by the AXA Research Fund and the Deltares Harbour, Coastal and Offshore Research Program.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherElsevier BV
dc.rights© 2018 The Authors.
dc.rights.urihttp://creativecommons.org/licenses/BY-NC-ND/4.0/
dc.sourceJournal of Hydrology: Regional Studies
dc.titleEffects of different precipitation inputs on streamflow simulation in the Irrawaddy River Basin, Myanmar
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume19
dc.date.issued2018
local.identifier.absfor040503 - Physical Oceanography
local.identifier.ariespublicationu4485658xPUB1379
local.publisher.urlhttps://www.elsevier.com/
local.type.statusPublished Version
local.contributor.affiliationSirisena, T.A.J.G., IHE Delft Institute for Water Education
local.contributor.affiliationMaskey, Shreedhar, UNESCO-IHE Institute for Water Education
local.contributor.affiliationRanasinghe, Roshanka, College of Science, ANU
local.contributor.affiliationBabel, M.S., Asian Institute of Technology
local.bibliographicCitation.startpage265
local.bibliographicCitation.lastpage278
local.identifier.doi10.1016/j.ejrh.2018.10.005
local.identifier.absseo961199 - Physical and Chemical Conditions of Water not elsewhere classified
dc.date.updated2019-11-25T07:51:15Z
local.identifier.scopusID2-s2.0-85055517668
dcterms.accessRightsOpen Access
dc.provenance© 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
dc.rights.licenseCC BY-NC-ND license
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Sirisena_Effects_of_different_2018.pdf3.84 MBAdobe PDFThumbnail


This item is licensed under a Creative Commons License Creative Commons

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator