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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-Central Arid Zone Research Institute L7
  4. NRM-CAZRI-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/21153
Title: Infiltration modeling in submergence area of a water harvesting structure: a case study
Other Titles: Not Available
Authors: Ojha, S.
Deepesh Machiwal
Purohit, R.C.
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Central Arid Zone Research Institute
Published/ Complete Date: 2013-04-26
Project Code: Not Available
Keywords: Double ring infiltrometer
Green-Ampt model
Infiltration characteristics
Infiltration modeling
Kostiakov model
Water harvesting structure
Publisher: Indian Society of Agricultural Engineers, New Delhi
Citation: Not Available
Series/Report no.: Not Available;
Abstract/Description: The knowledge of infiltration characteristics of a soil is the basic information required for designing an efficient irrigation system and also to show efficacy of a water harvesting structure in groundwater recharging. The objective of the present study was to determine infiltration characteristics in submergence area of a water harvesting structure in Khamnor block of Rajsamand, Rajasthan. A total of ten infiltration tests were conducted using double-ring infiltrometers. The observed infiltration data were fitted to three selected infiltration models namely Kostiakov, Kostiakov-Lewis and Green-Ampt models. Selection of the best-fit infiltration model was made based on the goodness-of-fit criteria, i.e., coefficient of determination. The initial infiltration rate varied from 1.2 to 12 cm hr−1 and the basic infiltration rate ranged between 0.06 and 1.44 cm hr −1. The mean basic infiltration rate in the submergence demonstrated that the harvesting rainwater can effectively be recharged at a mean rate of 1 m day −1. The Kostiakov model was found to be the best-fit infiltration model with the highest R2 values.
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Journal of Agricultural Engineering (ISAE)
NAAS Rating: 4.79
Volume No.: 41(1)
Page Number: 8-13
Name of the Division/Regional Station: Regional Research Station, Kukma, Bhuj, Gujarat
Source, DOI or any other URL: http://www.indianjournals.com/ijor.aspx?target=ijor:ijsc&volume=41&issue=1&article=002
URI: http://krishi.icar.gov.in/jspui/handle/123456789/21153
Appears in Collections:NRM-CAZRI-Publication

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