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

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Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana. / Ampadu, Boateng; Chappell, Nick; Tych, Wlodek.

In: Canadian Journal of Pure and Applied Sciences, Vol. 7, No. 2, 06.2013, p. 2405-2424.

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Ampadu, Boateng ; Chappell, Nick ; Tych, Wlodek. / Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana. In: Canadian Journal of Pure and Applied Sciences. 2013 ; Vol. 7, No. 2. pp. 2405-2424.

Bibtex

@article{9f2a8380bb824c65b0626043ea44d1e1,
title = "Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana.",
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 availabletime 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 estimatedmodel 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 mathematicalrelationships which could be used to simulate flows in the catchments.",
author = "Boateng Ampadu and Nick Chappell and Wlodek Tych",
year = "2013",
month = jun,
language = "English",
volume = "7",
pages = "2405--2424",
journal = "Canadian Journal of Pure and Applied Sciences",
issn = "1715-9997",
number = "2",

}

RIS

TY - JOUR

T1 - Data-Based Mechanistic modelling of rainfall to riverflow of large nested tropical rainforest catchments in Ghana.

AU - Ampadu, Boateng

AU - Chappell, Nick

AU - Tych, Wlodek

PY - 2013/6

Y1 - 2013/6

N2 - 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 availabletime 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 estimatedmodel 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 mathematicalrelationships which could be used to simulate flows in the catchments.

AB - 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 availabletime 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 estimatedmodel 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 mathematicalrelationships which could be used to simulate flows in the catchments.

M3 - Journal article

VL - 7

SP - 2405

EP - 2424

JO - Canadian Journal of Pure and Applied Sciences

JF - Canadian Journal of Pure and Applied Sciences

SN - 1715-9997

IS - 2

ER -