Application of wann model for groundwater level forecasting in ur river watershed in tikamgarh district, India (Record no. 19137)
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| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230405122532.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230405b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 20411 |
| Author | Ankur Kumar |
| 245 ## - TITLE STATEMENT | |
| Title | Application of wann model for groundwater level forecasting in ur river watershed in tikamgarh district, India |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.41(1), Jan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Roorkee |
| Name of publisher, distributor, etc. | Indian Water Resources Society |
| Year | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 28-40p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The use of Aquifers as a source of water supply is increasing on a global scale, leading to over-exploitation of available groundwater blocks.<br/>Thus, there is an increasing demand for checking the groundwater levels for better and sustainable management of groundwater resources.<br/>To acquire knowledge about the factors affecting the entire groundwater system, one should know the important variables and how they vary<br/>over time. It is well known that the groundwater head is considered to be one of the most essential hydrological variables and hence, it is<br/>monitored and predicted frequently at different locations and at frequent time intervals. Particularly, the groundwater prediction in hard<br/>rock areas is a complex task with the use of physically-based models as compared to the data-driven models. Therefore, in this study, an<br/>attempt has been made to verify the adequacy as well as the efficacy of the Artificial Neural Network model (ANN) and Wavelet-ANN<br/>conjunction (WANN) models in the prediction of groundwater levels in the Ur River watershed in Tikamgarh district of Madhya Pradesh,<br/>India. Although the Ur river basin having mainly granite type of aquifer, the obtained results reveal that the WANN and ANN models can be<br/>used to predict the groundwater levels in this watershed. The application of the ANN model in the groundwater prediction gives a higher<br/>estimate of the RMSE values during calibration and validation as compared to those obtained with the application of the WANN model for<br/>each one of the observation wells. Further, the WANN model is capable to provide groundwater level prediction with higher efficiency as<br/>reflected by higher R2 values during calibration and validation as compared to the ANN model which indicates a substantial improvement in<br/>the model performance. Therefore, it can be concluded that the WANN model provides a significantly accurate prediction of groundwater<br/>levels as compared to the results of the ANN model. Besides, the comparison of the scatter plots of time series during calibration and<br/>validation indicates that the values of water level depth estimated by the WANN model are more precise than those estimated by the ANN.<br/>Thus, this paper reveals the significant features of ANN models for forecasting groundwater levels in hard rock aquifer and their<br/>performance enhancement with wavelet theory. |
| 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) | 20412 |
| Co-Author | Kale, Ravindra Vitthal |
| 773 0# - HOST ITEM ENTRY | |
| Title | Journal of indian water resource society |
| International Standard Serial Number | 0970-6984 |
| Place, publisher, and date of publication | Roorkee Indian Institute of Technology Roorkee |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://iwrs.org.in/journal/jan2021/5jan.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 |
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| Dewey Decimal Classification | School of Engineering & Technology (PG) | School of Engineering & Technology (PG) | Archieval Section | 05/04/2023 | 2023-0621 | 05/04/2023 | 05/04/2023 | Articles Abstract Database |