ASSESSING EFFECT OF WET AND DRY YEAR DATA ON OPTIMAL MODEL PARAMETERS OF A CONCEPTUAL RAINFALL- RUNOFF MODEL (Record no. 15255)

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fixed length control field a
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210924105538.0
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fixed length control field 210924b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 14333
Author Venkatesh, B
245 ## - TITLE STATEMENT
Title ASSESSING EFFECT OF WET AND DRY YEAR DATA ON OPTIMAL MODEL PARAMETERS OF A CONCEPTUAL RAINFALL- RUNOFF MODEL
250 ## - EDITION STATEMENT
Volume, Issue number Vol.39(4), Oct
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Roorkee
Name of publisher, distributor, etc. Indian Water Resources Society
Year 2019
300 ## - PHYSICAL DESCRIPTION
Pagination 42-50p.
520 ## - SUMMARY, ETC.
Summary, etc. The rainfall-runoff models are essential tools for the prediction of river flows over a wide range of climatic conditions. Changing climatic situations have
greater influence on the model parameters and thus also on the prediction ability of the model. Potentially, there will be large uncertainties in the model
simulations. Therefore, it is important to have a reliable prediction from hydrological models to develop tools for water resources management in the future.
igates the effect of the wet and dry period data on the hydrological model parameters and on catchment hydrological
Runoff model to Malaprabha sub-basin of Krishna basin using time series of rainfall, discharge and
available for 21 year period. The wet and dry periods were identified through available long-termrainfall data using differential split
were used for calibration andvalidation of ARNO model. The results indicate that,the model parameters show no significant variations under the changing
climatic conditions. It was also noticed that, the transfer of model parameters (Wet to dry and Dry to wet) have smaller infl
alibration of model on wet/dry year and validation on dry/wet climate show over-estimation of mean stimulated runoff (volumes)
for few occasions. These results are indicative of applicability of ARNO model for prediction of hydrological responses unde
Hydrological model, ARNO, Rainfall, Runoff, Malaprabha River
Visvesvaraya...
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4621
Topical term or geographic name entry element Civil Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 14334
Co-Author Jayasree, V
773 0# - HOST ITEM ENTRY
International Standard Serial Number 0970-6984
Place, publisher, and date of publication Roorkee Indian Institute of Technology Roorkee
Title Journal of indian water resource society
856 ## - ELECTRONIC LOCATION AND ACCESS
URL http://iwrs.org.in/journal/oct2019/6oct.pdf
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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Koha item type Articles Abstract Database
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