Development of HydroClimatic Conceptual Streamflow
(HCCS) model for tropical river basin
Parag P. Bhagwat and Rajib Maity
ABSTRACT
Combined processes of land-surface hydrology and hydroclimatology influence the response of a
watershed to different hydroclimatic variables. In this paper, streamflow response of a watershed to
hydrometeorological variables is investigated over a part of two tropical Indian rivers – Narmada and
Mahanadi. The proposed HydroClimatic Conceptual Streamflow (HCCS) model is able to consider the
time-varying basin characteristics and major hydrologic processes to model basin-scale streamflow
using climate inputs at a daily scale. In addition, the proposed model is able to provide additional
overall estimates of ground water recharge component and evapotranspiration component from the
entire basin. Moreover, ability to consider the time-varying watershed characteristics and
hydroclimatic inputs renders the proposed model usable for assessment of future streamflow
variation. This application is also investigated for both the study basins. In general, the
methodological approach of the proposed model can be applied to other tropical basins for daily
streamflow modelling as well as future streamflow assessment.
Parag P. Bhagwat
Rajib Maity (corresponding author)
Department of Civil Engineering,
Indian Institute of Technology Kharagpur,
Kharagpur 721302,
West Bengal,
India
E-mail: rajib@civil.iitkgp.ernet.in;
rajibmaity@gmail.com
Key words | climate, conceptual model, hydroclimatology, prediction, streamflow
INTRODUCTION
In the context of a changing climate, identification of stream-
flow response to other hydroclimatological variables is a
research challenge (Kumar & Maity ; Maity & Kashid
). Most of the existing approaches attempt to consider
and conceptualize different hydrological processes. How-
ever, time varying watershed characteristics are not
considered. As a consequence, consistency (decadal to cli-
matic scale) of the model performance is affected under a
changing climate and changing watershed characteristics
that are not accounted for. Here lies the importance of this
study since recent observation of climate change has added
a new dimension towards this overall research direction in
hydrologic modelling. The question examined was, is it poss-
ible to model watershed response as streamflow with the
simultaneous consideration of changing climate and time
varying watershed characteristics? As such, it was found
that there is a need to develop a streamflow model having
few parameters, which will be able to consider time varying
watershed characteristics and climatic inputs, and provide
better or at least comparable performance to existing
approaches.
Background and literature review
A brief review (with respect to the huge amount of literature
available) of existing approaches reveals that the hydrologi-
cal models for streamflow estimation can be grouped into
three broad categories viz: (a) physically based models, (b)
conceptual models, and (c) artificial intelligence (AI)-based
models. In physically based models, existing knowledge of
all possible hydrological processes is represented through
a set of mathematical equations. Examples of some popular
physically based models include System Hydrologique Euro-
pean (Abbott et al. a,b), Better Assessment Science
Integrating point and Non-point Sources (EPA ), Soil
and Water Assessment Tool (SWAT) (Eckhardt & Arnold
; Grizzetti et al. ), and Community Land Model
(Lawrence et al. ). However, an inability for accurate
36 © IWA Publishing 2014 Journal of Water and Climate Change | 05.1 | 2014
doi: 10.2166/wcc.2013.015
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