University of Oulu

Justice O. Akanegbu, Hannu Marttila, Anna-Kaisa Ronkanen, Bjørn Kløve, A current precipitation index-based model for continuous daily runoff simulation in seasonally snow covered sub-arctic catchments, Journal of Hydrology, Volume 545, 2017, Pages 182-196, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2016.12.020

A current precipitation index-based model for continuous daily runoff simulation in seasonally snow covered sub-arctic catchments

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Author: Akanegbu, Justice O.1; Marttila, Hannu1; Ronkanen, Anna-Kaisa1;
Organizations: 1Water Resources and Environmental Engineering Research Unit, Faculty of Technology, PO Box 4300, 90014 University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 2.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019120245157
Language: English
Published: Elsevier, 2017
Publish Date: 2019-12-02
Description:

Abstract

A new precipitation index-based model, which includes a snow accumulation and melt component, has been developed to simulate hydrology in high latitude catchments. The model couples a point snowmelt model with a current precipitation index (CPI) formulation to simulate continuous daily runoff from catchments with seasonal snow cover. A new runoff conversion factor: CT and Lf, threshold flow factor ThQ and runoff transformation function Maxbas were introduced into the CPI equation, which converts and transforms the routed daily CPI into daily runoff and maintains the daily base flow in the catchment. The model was developed using twelve sub-arctic boreal catchments located above and below the Arctic Circle in northern Finland, representing a region with considerable seasonal snow cover. The results showed that the model can adequately simulate and produce the dynamics of daily runoff from catchments where the underlying physical conditions are not known. An open-access Excel-based model is provided with this paper for daily runoff simulations. The model can be used to estimate runoff in sub-arctic regions where little data is typically available but significant changes in climate are expected, with considerable shifts in the amount and timing of snowmelt and runoff.

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Series: Journal of hydrology
ISSN: 0022-1694
ISSN-E: 1879-2707
ISSN-L: 0022-1694
Volume: 545
Pages: 182 - 196
DOI: 10.1016/j.jhydrol.2016.12.020
OADOI: https://oadoi.org/10.1016/j.jhydrol.2016.12.020
Type of Publication: A1 Journal article – refereed
Field of Science: 218 Environmental engineering
212 Civil and construction engineering
Subjects:
Funding: This research was partly funded by Maa-ja vesitekniikan tuki foundation (MVTT).
Copyright information: © 2016 The Authors. Published by Elsevier Inc. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
  https://creativecommons.org/licenses/by-nc-nd/4.0/