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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/58971
Title: | Long-term rainfall analysis of Ranga Reddy district of Andhra Pradesh using GIS |
Other Titles: | Not Available |
Authors: | Not Available |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Central Research Institute of Dryland Agriculture ICAR::Indian Institute of Rice Research |
Published/ Complete Date: | 2013-12-01 |
Project Code: | Not Available |
Keywords: | long-term gis rain fall |
Publisher: | Journal of Agrometeorology |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Being a tropical country, India mainly depends upon the rainfall for the water resources. More than 80% of the annual rainfall occurs during the monsoon periods in Andhra Pradesh. Intensity of monsoon rainfall is uneven and erratic both in space and time (Vennila, 2007). One of the sources of information on climatic-scale is rain gauge observation, which has advantages and shortcomings. Long-term gauge data of particular region can be important source to understand the nature variation of monsoon. Knowledge and understanding of such variability can lead to improved risk management practices in agriculture and other industries. Thus it is essential to analyse the occurrence of rainfall during various seasons for evolving a system to manage the water resources effectively. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Agrometeorology |
NAAS Rating: | 6.47 |
Volume No.: | Not Available |
Page Number: | 230-234 |
Name of the Division/Regional Station: | SDA |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/58971 |
Appears in Collections: | NRM-CRIDA-Publication |
Files in This Item:
File | Description | Size | Format | |
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paper-in-journal of agromet-longerm-rainfall-analysis.pdf | 747.28 kB | Adobe PDF | View/Open |
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