Narsinghpur District

Infiltration studies in Sher-Umar river doab in Narmada basin – A research report by National Institute of Hydrology
The report presents infiltration studies of the year 1996-97 for the Bargi Left Bank Canal Command area of Narsinghpur district of Madhya Pradesh. Posted on 28 Jul, 2010 04:32 PM

The report presents infiltration studies of the year 1996-97 for the Bargi Left Bank Canal Command area of Narsinghpur district of Madhya Pradesh. Infiltration studies are mainly addressed to a variety of applications for managing water resources. The design of methods for estimation of flood mitigation and erosion control is often based on estimates of peak discharge derived from prediction of infiltration rate. Water conservation procedures require computation of cumulative infiltration to produce estimates of runoff yield.      

Estimation of hydrological soil properties of Narsinghpur district - A research report by National Institute of Hydrology
The study deals with the estimation of hydrological soil parameters of the doab between Sher, Umar river and Bargi left bank canal in Narsinghpur district of Madhya Pradesh. Posted on 29 Jun, 2010 07:57 PM

The study deals with the estimation of hydrological soil parameters of the doab between Sher, Umar river and Bargi left bank canal in Narsinghpur district of Madhya Pradesh. The soil properties determined are soil texture, soil moisture characteristic curves and saturated hydraulic conductivity.

Study of recharge to groundwater due to monsoon rains using Tritium tagging in parts of Narsinghpur – A research report by National Institute of Hydrology
The study attempts to estimate the recharge to groundwater due to rainfall and irrigation using tritium tagging techniques in parts of the Narmada catchment in Madhya Pradesh. Posted on 28 Jun, 2010 04:48 PM

The study attempts to estimate the recharge to groundwater due to rainfall and irrigation using tritium tagging techniques in parts of Narsinghpur district under the Narmada catchment in Madhya Pradesh. The estimation of recharge to groundwater is crucial to better water resources management, particularly in arid and semi-arid regions.

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