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Premanand B. Dashavant

Publications (4)

Estimation of Water Balance Components of Patapur Micro Watershed in the Tungabhadra River Basin Using QSWAT Model in QGIS Environment

Premanand B. Dashavant & Mallikarjuna M. Dandu · International Journal of Environment and Climate Change · 2022

Aims: Estimation of water balance components of a micro watershed by employing efficient calibrated and validated SWAT model helps to understand each components of water balance and are important to plan agricultural water management, climate change impact assessment, flow foreca...

Open access Research Article 10.9734/ijecc/2022/v12i121541

Hydrological Investigations in Red Soils of a Micro Catchment Area for Dugout Farm Pond at UAS Raichur Campus

Vinutha K., Premanand B. Dashavant, B. Maheshwara Babu, G. V. Srinivasa Reddy & S. R. Balanagoudar · International Journal of Environment and Climate Change · 2023

Aims: To measure and characterize storm wise runoff for the catchment area of the farm pond and to correlate rainfall intensity and runoff relationship for the catchment area will help to design the appropriate size of the farm pond and waste weirs of the bunding system. Place an...

Open access Research Article 10.9734/ijecc/2023/v13i61837

Calibration of Inductive Electromagnetic Meter for Determining Electrical Conductivity of UAS, Raichur Soil

Naseeb Singh, Premanand B. Dashavant, K. Sudarshan & Laxmi Kant Dhruw · Advances in Research · 2018

EM-38 electromagnetic induction sensor is a most useful instrument to determine the soil salinity. Significant positive correlation found between inductive electromagnetic meter (IEM) readings and saturated paste extract electrical conductivity (EC) revealed that this technique c...

Open access Research Article 10.9734/AIR/2018/38797

Pan Evaporation Estimation Using Artificial Neural Network (ANN) and Fuzzy Logic Models for Raichur Region, Karnataka: A Case Study

. Megha, G. V. Srinivasa Reddy, Premanand B. Dashavant, B. Maheshwara Babu & G. Manoj Kumar · International Journal of Environment and Climate Change · 2022

Aims: Accurate estimates of evaporation by employing efficient and proven soft computing techniques that involve least number of influencing variables are important to tackle present water crisis. Place and Duration of Study: In the present study, Artificial Neural Network (ANN)...

Open access Research Article 10.9734/ijecc/2022/v12i111423