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Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (2000)

Estimation of curve number for rainwater conservation techniques

Patil Nitin Prakashrao,

Titre : Estimation of curve number for rainwater conservation techniques

Auteur : Patil Nitin Prakashrao,

Université de soutenance : Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani

Grade : Master of Technology in Soil and Water Conservation Engineering 2000

Résumé
In rainfed agriculture harvesting and management of water is of prime importance for conserving the runoff water for potential use during the season as well as off season. The runoff curve number method for the estimation of direct runoff from storm rainfall is well established in hydraulic and environmental impact analysis. It is a simple, predictable and stable conceptual model. Hence, the project was planned to determine the precise and appropriate curve numbers for various soil and water conservation practices for estimating curve numbers for Parbhani region. The experiment was carried out at experimental farm at Department of Meteorology, M.A.U., Parbhani. The rainfall data of 11 years i.e. during 1987-1999(except 1993-94 and 1994-95) recorded at the above experimental plots was considered for the study. The 5-days antecedent moisture conditions were calculated. The maximum potential retention and curve numbers were estimated by lognormal, least square and asymptotic methods and compared with table values. The performance of lognormal and least square method was par and superior to asymptotic method. The performance of calibrated CNs and table CNs in estimating runoff on storm event basis is nearly similar. The predictive performance of calibrated and table curve numbers was tested 1 by Student ‘t’ test by using regression equation showed a non significant test for calibrated CNs and a significant test for table CNs. The calibrated CNs were found to be 73.59,77.59 and 90.43 for AMC-I, II and III respectively. Hence the curve numbers for AMC-II and III were found to be nearly equal to table CNs.

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