KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/47365
Title: | Use of meteorological data for identification of agricultural drought in Kumaon region of Uttarakhand |
Other Titles: | Not Available |
Authors: | Utkarsh Kumar, Sher Singh, Jaideep Kumar Bisht, Lakshmi Kant |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Vivekananda Parvatiya Krishi Anusandhan Sansthan |
Published/ Complete Date: | 2021-06-16 |
Project Code: | Not Available |
Keywords: | Hilly region - precipitation - remote sensing - standard precipitation index (SPI) |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Agriculture in hill and mountain ecosystems is predominantly rainfed with common occurrence of moisture stress. It is a natural disaster which evolves in time and its impacts last for a long time. In the present investigation, long-term monthly precipitation data for 40 years (1980–2019) were used for characterizing agricultural drought in Almora and Nainital districts of Uttarakhand in India. Different drought indices based on meteorological data like standard precipitation index (SPI), percentage of departure (Pd) and percent of normal (Pn) were used. Percentage of departure is calculated from deviation of monthly precipitation from the long-term average monthly precipitation. Percent of normal is calculated by dividing the precipitation by normal precipitation for time being considered. SPI values were calculated based on gamma distribution of long-term monthly precipitation data. The Pearson’s correlation coefficient between monthly percentage of departure and different SPI time scales (1, 3 and 6 months) were analyzed. SPI-1 (July and August) for both the stations showed very strong correlation with the corresponding monthly percentage of departure (r > 0.97) than SPI-3 and SPI-6. Therefore, it is suggested that SPI as a stand-alone indicator should not be interpreted to identify drought in a hilly region. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Article |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Earth System Science (Proceedings of the Indian Academy of Sciences - Earth and Planetary Science) |
NAAS Rating: | 7.42 |
Volume No.: | 130 |
Page Number: | 121 |
Name of the Division/Regional Station: | Crop Production Division |
Source, DOI or any other URL: | https://doi.org/10.1007/s12040-021-01622-1 https://link.springer.com/article/10.1007%2Fs12040-021-01622-1 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/47365 |
Appears in Collections: | CS-VPKAS-Publication |
Files in This Item:
There are no files associated with this item.
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.