Developing an efficient and optimized irrigation plan under varying water-supply regimes Purushottam Agrawal, Jitendra Sinha, Nilima Jangre, Fanesh Kumar, Kamalkant, Alok Sinha, Ashwin Singh, Ashes Banerjee, Akella Satya Venkatesh, Srinivas Pasupuleti Ain Shams Engineering Journal, 2025 Crop development relies on water availability, needs, and application, necessitating large irrigation projects to ensure sustainable and equitable agriculture in the long term. This study investigates water losses and gaps during paddy cultivation in India’s tropical semi-arid region, where agriculture is the primary economic driver for communities. Given the population’s heavy reliance on rice, paddy cultivation was closely examined to identify irrigation-related vulnerabilities. An optimal irrigation plan was developed based on the analysis of the current water supply scenario for four different paddy production situations: 1) Rainfed (10 ha), 2) Rain + Canal irrigated (2174 ha), 3) Rain + Borewell + Rivulet irrigated (165 ha), and 4) Rain + Canal + Borewell irrigated (243 ha). The dependable water availability from rains and canals was calculated at a 75 % probability of exceedance to formulate an optimal water supply for the crop. Under this plan, the required water depth is reduced from 32.9 mm to 7.4 mm, saving 0.6167 Mm 3 of water. In areas with optimized canal supply, no borewell water is needed for the canal-irrigated land supported by borewells (243 ha).
Proposing a Characteristic Length Definition for Flow Characterization in Porous Media: A Methodology for Estimating Hydraulic Radius Ashes Banerjee, Sunil Priyadarshi, Samir Kumar Journal of Mines Metals and Fuels, 2023 This study explores the complex factors influencing fluid flow and associated head loss within porous media, focusing on particle size, shape, and packing porosity. The chosen characteristic length, hydraulic radius (denoted as “r”), integrates these factors, providing a comprehensive measure for characterizing flow behavior in specific packing configurations. Crushed stones and glass spheres of varying sizes are used as porous media. Porosity, size, and shape of the media are meticulously determined to understand their impact on flow characteristics. The study’s findings offer valuable insights for researchers and designers in porous media applications, guiding the selection of appropriate characteristic length expressions. Additionally, this work contributes to a deeper understanding of porous media flow and provides a practical framework for characterizing and analyzing porous media properties, advancing the broader field of fluid dynamics in porous structures.
Influence of fluid viscosity and flow transition over non-linear filtration through porous media Ashes Banerjee, Srinivas Pasupuleti, Mritunjay Kumar Singh, Dandu Jagan Mohan Journal of Earth System Science, 2021 The present study investigates two important though relatively unexplored aspects of non-linear filtration through porous media. The first aspect is the influence of viscosity variation over the coefficients of the governing equations used for modelling non-linear filtration through porous media. Velocity and hydraulic gradient data obtained for a wide range of fluid viscosities (8.03E-07 to 3.72E-05 N/m2) were studied. An increase in fluid viscosity resulted in an increased pressure loss through packing which can be quantified using the coefficients of the governing equations. Coefficients of Forchheimer equation represent linearly increasing trend with the kinematic viscosity. On the other hand, coefficient of Wilkins equation represents similar values for different fluid viscosities and remained unaffected by the variation in packing properties. Obtained data were utilized to understand the nature of flow transition in porous media. Behaviour of polynomial and Power-law coefficient with variation in flow velocity were also examined. Critical Reynolds number corresponding to the deviation of flow from Darcy regime varies with the porous packing and was observed to be in the range of 0–100. Coefficients of polynomial (Forchheimer) model were observed to be independent of the range of flow velocity, whereas the Power law coefficients are extremely sensitive to the data. Increased fluid viscosity results in greater pressure drop for a given velocity through any porous packing. Forchheimer coefficients represent linearly proportional variation trend with fluid viscosity. Wilkins coefficient α which accounts for the viscosity variation has a constant value. Limiting values of Reynolds number indicating flow transition in porous media are packing specific. Power law coefficients are sensitive to the flow velocity range, but the binomial coefficients are not. Increased fluid viscosity results in greater pressure drop for a given velocity through any porous packing. Forchheimer coefficients represent linearly proportional variation trend with fluid viscosity. Wilkins coefficient α which accounts for the viscosity variation has a constant value. Limiting values of Reynolds number indicating flow transition in porous media are packing specific. Power law coefficients are sensitive to the flow velocity range, but the binomial coefficients are not.
Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media Ashes Banerjee, Srinivas Pasupuleti, Koushik Mondal, M. Mousavi Nezhad International Journal of Heat and Mass Transfer, 2021 Modeling the relationship between volumetric flux (m3/s) and gradient of hydraulic head (m) is extremely challenging in case of non-linear filtration through porous packing. Due to the uncertainties associated with the definition and quantification of characteristic length and velocity, experimental, theoretical and numerical modelling approaches are not widely applicable. The machine learning algorithms have proven to be extremely useful for predicting similar situations when the physical process is too complex to understand. The performance of Artificial Neural Network (ANN), Random Forest (RF), and Boosted Tree methods have been investigated in the study for predicting the gradient of hydraulic head (target variable) in case of non-linear filtration through porous packing. Velocity of flow, media size, porosity, kinetic viscosity, and shape factor obtained from a wide range of reported data in the literature was used as input features. All three models were observed to predict the output values with significant accuracies (R2>0.90) for wide range of data obtained from different sources. A RF method based sensitivity analysis was performed to study the relative importance of different hydrological parameters over the target variable. These parameters in terms of a decreasing order was ranked as velocity, diameter, viscosity, porosity, and shape factor. These type of models can aid the researchers, planners, and designers to predict the hydraulic gradient or volumetric flux in multiple scenarios associated with non-linear filtration through porous media such as oil and gas exploration wells, water filters, rockfill dams etc.
Seepage control and stability in earth dams: an experimental and numerical study of optimising triangular toe filters S Shrivastava, VN Khatri, A Banerjee, S Pasupuleti Environmental Earth Sciences 85 (2), 40 , 2026 2026 Citations: 1
Evaluating the impact of core position and material on seepage and stability of rockfill dam through experimental and numerical analysis S Shrivastava, VN Khatri, A Banerjee, S Pasupuleti Acta Geophysica 73 (5), 4605-4620 , 2025 2025 Citations: 3
Copula-based dependency modelling of hydraulic properties for non-linear filtration through porous media S Shrivastava, A Banerjee, A Singh, MK Singh, S Pasupuleti Powder Technology 460, 121069 , 2025 2025 Citations: 1
Developing an efficient and optimized irrigation plan under varying water-supply regimes P Agrawal, J Sinha, N Jangre, F Kumar, A Sinha, A Singh, A Banerjee, ... Ain Shams Engineering Journal 16 (2), 103272 , 2025 2025 Citations: 2
A risk assessment framework utilizing bivariate copula for contaminate monitoring in groundwater A Banerjee, A Chatterjee, A Singh, S Pasupuleti, V Uddameri Environmental Science and Pollution Research 31 (37), 49744-49756 , 2024 2024
PROPOSING A CHARACTERISTIC LENGTH DEFINITION FOR FLOW CHARACTERIZATION IN POROUS MEDIA: A METHODOLOGY FOR ESTIMATING HYDRAULIC RADIUS A BANERJEE, S PRIYADARSHI, S KUMAR JOURNAL OF MINES, METALS AND FUELS, 398-403 , 2024 2024
A holistic approach for understanding the status of water quality and causes of its deterioration in a drought-prone agricultural area of Southeastern India PC Pathakamuri, VGK Villuri, S Pasupuleti, A Banerjee, AS Venkatesh Environmental Science and Pollution Research 30 (55), 116765-116780 , 2023 2023 Citations: 4
Alternative relationships to enhance the applicability of nonlinear filtration models in porous media A Banerjee, SCK Jagupilla, S Pasupuleti, CSR Annavarapu Acta Geophysica 71 (4), 1787-1799 , 2023 2023 Citations: 7
Application of Artificial Intelligence and Machine Learning Technique for Nonlinear Flow Modelling Applicable in Petroleum Exploration and in Porous Media Flow A Banerjee, NR Asha Rani International Symposium on Sustainable Energy and Technological Advancements … , 2023 2023
Sociohydrological aspects of event-based flood hazard in Assam, India S Guchhait, A Banerjee, S Dutta AGU Fall Meeting Abstracts 2021, SY55D-0391 , 2021 2021
Influence of fluid viscosity and flow transition over non-linear filtration through porous media A Banerjee, S Pasupuleti, MK Singh, DJ Mohan Journal of Earth System Science 130 (4), 201 , 2021 2021 Citations: 8
Impact of anthropogenic activities on river-aquifer exchange flux in an irrigation dominated Ganga river sub-basin NVS Laveti, A Banerjee, SA Kartha, S Dutta Journal of Hydrology 602, 126811 , 2021 2021 Citations: 14
Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media A Banerjee, S Pasupuleti, K Mondal, MM Nezhad International Journal of Heat and Mass Transfer 179, 121650 , 2021 2021 Citations: 18
Exploring artificial intelligence techniques for groundwater quality assessment P Agrawal, A Sinha, S Kumar, A Agarwal, A Banerjee, VGK Villuri, ... Water 13 (9), 1172 , 2021 2021 Citations: 103
Anthropogenic influence on monthly groundwater utilization in an irrigation dominated Ganga river Sub-Basin NVS Laveti, A Banerjee, SA Kartha, S Dutta Journal of Hydrology 593, 125800 , 2021 2021 Citations: 13
Nonlinear filtration through stratified porous media: an experimental approach to model the volumetric flow rate and pressure drop relationship A Banerjee, S Pasupuleti, VGK Villuri, AK Pushkar, R Nune, S Dutta Journal of Porous Media 24 (10) , 2021 2021 Citations: 3
Modelling of flow through porous media over the complete flow regime A Banerjee, S Pasupuleti, MK Singh, SC Dutta, GNP Kumar Transport in Porous Media 129 (1), 1-23 , 2019 2019 Citations: 21
Effect of convergent boundaries on post laminar flow through porous media A Banerjee, S Pasupuleti Powder Technology 342, 288-300 , 2019 2019 Citations: 9
An investigation of parallel post-laminar flow through coarse granular porous media with the Wilkins equation A Banerjee, S Pasupuleti, MK Singh, GNP Kumar Energies 11 (2), 320 , 2018 2018 Citations: 14
A study on the Wilkins and Forchheimer equations used in coarse granular media flow A Banerjee, S Pasupuleti, MK Singh, GNP Kumar Acta Geophysica 66 (1), 81-91 , 2018 2018 Citations: 18
MOST CITED SCHOLAR PUBLICATIONS
Exploring artificial intelligence techniques for groundwater quality assessment P Agrawal, A Sinha, S Kumar, A Agarwal, A Banerjee, VGK Villuri, ... Water 13 (9), 1172 , 2021 2021 Citations: 103
Modelling of flow through porous media over the complete flow regime A Banerjee, S Pasupuleti, MK Singh, SC Dutta, GNP Kumar Transport in Porous Media 129 (1), 1-23 , 2019 2019 Citations: 21
Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media A Banerjee, S Pasupuleti, K Mondal, MM Nezhad International Journal of Heat and Mass Transfer 179, 121650 , 2021 2021 Citations: 18
A study on the Wilkins and Forchheimer equations used in coarse granular media flow A Banerjee, S Pasupuleti, MK Singh, GNP Kumar Acta Geophysica 66 (1), 81-91 , 2018 2018 Citations: 18
Impact of anthropogenic activities on river-aquifer exchange flux in an irrigation dominated Ganga river sub-basin NVS Laveti, A Banerjee, SA Kartha, S Dutta Journal of Hydrology 602, 126811 , 2021 2021 Citations: 14
An investigation of parallel post-laminar flow through coarse granular porous media with the Wilkins equation A Banerjee, S Pasupuleti, MK Singh, GNP Kumar Energies 11 (2), 320 , 2018 2018 Citations: 14
Anthropogenic influence on monthly groundwater utilization in an irrigation dominated Ganga river Sub-Basin NVS Laveti, A Banerjee, SA Kartha, S Dutta Journal of Hydrology 593, 125800 , 2021 2021 Citations: 13
Effect of convergent boundaries on post laminar flow through porous media A Banerjee, S Pasupuleti Powder Technology 342, 288-300 , 2019 2019 Citations: 9
Influence of fluid viscosity and flow transition over non-linear filtration through porous media A Banerjee, S Pasupuleti, MK Singh, DJ Mohan Journal of Earth System Science 130 (4), 201 , 2021 2021 Citations: 8
Alternative relationships to enhance the applicability of nonlinear filtration models in porous media A Banerjee, SCK Jagupilla, S Pasupuleti, CSR Annavarapu Acta Geophysica 71 (4), 1787-1799 , 2023 2023 Citations: 7
A three-dimensional CFD simulation for the nonlinear parallel flow phenomena through coarse granular porous media A Banerjee, S Pasupuleti, GN Pradeep Kumar, SC Dutta Applications of Fluid Dynamics: Proceedings of ICAFD 2016, 469-480 , 2017 2017 Citations: 6
A holistic approach for understanding the status of water quality and causes of its deterioration in a drought-prone agricultural area of Southeastern India PC Pathakamuri, VGK Villuri, S Pasupuleti, A Banerjee, AS Venkatesh Environmental Science and Pollution Research 30 (55), 116765-116780 , 2023 2023 Citations: 4
Evaluating the impact of core position and material on seepage and stability of rockfill dam through experimental and numerical analysis S Shrivastava, VN Khatri, A Banerjee, S Pasupuleti Acta Geophysica 73 (5), 4605-4620 , 2025 2025 Citations: 3
Nonlinear filtration through stratified porous media: an experimental approach to model the volumetric flow rate and pressure drop relationship A Banerjee, S Pasupuleti, VGK Villuri, AK Pushkar, R Nune, S Dutta Journal of Porous Media 24 (10) , 2021 2021 Citations: 3
Developing an efficient and optimized irrigation plan under varying water-supply regimes P Agrawal, J Sinha, N Jangre, F Kumar, A Sinha, A Singh, A Banerjee, ... Ain Shams Engineering Journal 16 (2), 103272 , 2025 2025 Citations: 2
A Critical Study on the Applicability of Forchheimer and Wilkins Equations for Nonlinear Flow Through Coarse Granular Media A Banerjee, S Pasupuleti, GN Pradeep Kumar Water Quality Management: Select Proceedings of ICWEES-2016, 307-316 , 2018 2018 Citations: 2
Seepage control and stability in earth dams: an experimental and numerical study of optimising triangular toe filters S Shrivastava, VN Khatri, A Banerjee, S Pasupuleti Environmental Earth Sciences 85 (2), 40 , 2026 2026 Citations: 1
Copula-based dependency modelling of hydraulic properties for non-linear filtration through porous media S Shrivastava, A Banerjee, A Singh, MK Singh, S Pasupuleti Powder Technology 460, 121069 , 2025 2025 Citations: 1
A risk assessment framework utilizing bivariate copula for contaminate monitoring in groundwater A Banerjee, A Chatterjee, A Singh, S Pasupuleti, V Uddameri Environmental Science and Pollution Research 31 (37), 49744-49756 , 2024 2024
PROPOSING A CHARACTERISTIC LENGTH DEFINITION FOR FLOW CHARACTERIZATION IN POROUS MEDIA: A METHODOLOGY FOR ESTIMATING HYDRAULIC RADIUS A BANERJEE, S PRIYADARSHI, S KUMAR JOURNAL OF MINES, METALS AND FUELS, 398-403 , 2024 2024
