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 Article10.9734/ijecc/2022/v12i121541
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 Article10.9734/ijecc/2023/v13i61837
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 Article10.9734/AIR/2018/38797
Quantitative assessment of water-balance components is essential for effective watershed planning and sustainable water-resources management. However, continuous observations of runoff, soil moisture, groundwater recharge, and evapotranspiration are often unavailable in data-scar...
Open access
Research Article10.9734/ijecc/2026/v16i85605
Employing Remote sensing (RS) and geographic information system (GIS) for the morphometric parameters analysis are discovered to be tremendous usefulness in the prioritization of watersheds for soil, water conservation and natural resource management at micro watershed level. The...
Open access
Research Article10.9734/ijecc/2024/v14i104518
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 Article10.9734/ijecc/2022/v12i111423
In this study, we systematically assessed the predictive performance of two machine learning models; Random Forest (RF) and Partial Least Squares Regression (PLSR), utilizing various pre-processing techniques for the determination of soil properties, including sand, silt and clay...
Open access
Research Article10.9734/ijecc/2023/v13i113625