METEOROLOGICAL DROUGHT ANALYSIS USING COPULA FUNCTION FOR MARATHWADA REGION, MAHARASHTRA STATE, INDIA (Record no. 19573)
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| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230628155000.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230628b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 21279 |
| Author | Pachore, A. B. |
| 245 ## - TITLE STATEMENT | |
| Title | METEOROLOGICAL DROUGHT ANALYSIS USING COPULA FUNCTION FOR MARATHWADA REGION, MAHARASHTRA STATE, INDIA |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol, 41(2), Apr |
| 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 | 20-27p |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Drought is an extreme climatic event, which is recurring in nature. Drought occurs when the amount of precipitation is less than average<br/>precipitation for the region. Drought analysis is important due to its direct impact on water supply, agriculture and industry along with<br/>social and economic impact.Duration and severity are major characteristics of drought. In this study, the bivariate joint distribution of<br/>drought duration and severity is defined using bivariate copula function. 6-month Standardized Precipitation Index (SPI) is used to calculate<br/>drought duration and severity for average precipitation of the whole study area. The logistic and Birnbaum-saunders distributions are best<br/>fitted distribution for univariate frequency analysis of drought duration and severity. Student âtâ, Galambos, Clayton, Gumbel, Frank, AMH<br/>copula functions are used to find joint multivariate distribution. AIC, RMSE and NSE values are used to select the best fit copula function.<br/>Considering AIC, RMSE, NSE values and the dependence structure i.e closeness of isolines, the Galambos copula is found to be the best fit<br/>for time series data. Drought analysis is carried out using joint probability distribution between drought duration and severity. Drought risk<br/>is estimated based on a joint return period which gives important information for water resource planning and management. |
| 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) | 21280 |
| Co-Author | Regulwear, D. G. |
| 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/apr2021/4apr.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 | 28/06/2023 | 2023-0945 | 28/06/2023 | 28/06/2023 | Articles Abstract Database |