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 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| 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 <br/>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 <br/>simulations. Therefore, it is important to have a reliable prediction from hydrological models to develop tools for water resources management in the future. <br/>igates the effect of the wet and dry period data on the hydrological model parameters and on catchment hydrological <br/>Runoff model to Malaprabha sub-basin of Krishna basin using time series of rainfall, discharge and<br/>available for 21 year period. The wet and dry periods were identified through available long-termrainfall data using differential split<br/>were used for calibration andvalidation of ARNO model. The results indicate that,the model parameters show no significant variations under the changing <br/>climatic conditions. It was also noticed that, the transfer of model parameters (Wet to dry and Dry to wet) have smaller infl<br/>alibration of model on wet/dry year and validation on dry/wet climate show over-estimation of mean stimulated runoff (volumes) <br/>for few occasions. These results are indicative of applicability of ARNO model for prediction of hydrological responses unde<br/>Hydrological model, ARNO, Rainfall, Runoff, Malaprabha River <br/>Visvesvaraya... <br/> |
| 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 | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology (PG) | School of Engineering & Technology (PG) | Archieval Section | 24/09/2021 | 2021-2022131 | 24/09/2021 | 24/09/2021 | Articles Abstract Database |