Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana.

Ampadu, Boateng and Chappell, Nick and Tych, Wlodek (2013) Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana. Canadian Journal of Pure and Applied Sciences, 7 (2). pp. 2405-2424. ISSN 1715-9997

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Abstract

Within the Data Based Mechanistic (DBM) Transfer Function rainfall to riverflow modelling approach a mathematical model in the form of a transfer function rainfall to riverflow is obtained by extracting information from the available time series data. The DBM methodology is able to use the data to identify the model structure in an objective statistical manner using the simplified recursive instrumental variable algorithm (SRIV). The approach requires few spatially distributed data for the estimation of the models and is, therefore, suitable for data limited regions like West Africa. Within this paper we present a review of the application of the model in hydrological studies in different climatic conditions. The application of the approach to large nested catchments in the humid rainforest zone in Ghana have also been presented. The approach revealed an exponential form of non-linear behaviour for the catchments. The estimated model parameters and the associated dynamic response characteristics (DRCs) of time constant (TC) and steady state gain (SSG) indicates that riverflow generation within the catchments are not flashy. The model identified mathematical relationships which could be used to simulate flows in the catchments.

Item Type:
Journal Article
Journal or Publication Title:
Canadian Journal of Pure and Applied Sciences
ID Code:
64394
Deposited By:
Deposited On:
09 May 2013 08:14
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Feb 2020 02:28