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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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) | |
Source of classification or shelving scheme | |
Koha item type | Articles Abstract Database |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
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School of Engineering & Technology (PG) | School of Engineering & Technology (PG) | Archieval Section | 2021-09-24 | 2021-2022131 | 2021-09-24 | 2021-09-24 | Articles Abstract Database |