Arunava Poddar

Journals

• Poddar, A., Gupta, P., Kumar, N., Shankar, V., & Ojha, C.S. (2018). Evaluation of Reference Evapotranspiration Methods and Sensitivity Analysis of Climatic Parameters for Sub-Humid Sub-Tropical Locations in Western Himalayas (India). ISH Journal of Hydraulic Engineering. 1-11. doi.org/10.1080/09715010.2018.155173 
• Poddar, A., Kumar, N., & Shankar, V. (2019). Computation of moisture uptake based irrigation schedules to counter ill effects of saline irrigation on agricultural productivity. Journal of Advanced Research in Dynamical and Control Systems 11(01):1004-1013
• Kumar, N., Poddar, A., Dobhal, A., & Shankar, V. (2019). Performance Assessment of PSO and GA in Estimating Soil Hydraulic Properties Using Near-Surface Soil Moisture Observations. Compusoft - An International Journal of Advanced Computer Technology Vol. 8, Issue 8 pp. 3294-3301
• Kumar, N., Poddar, A., Shankar, V., Ojha, C. S. P., & Adeloye, A. J. (2020). Crop water stress index for scheduling irrigation of Indian mustard (Brassica juncea) based on water use efficiency considerations. Journal of Agronomy and Crop Science, 206(1), 148-159. https://doi.org/10.1111/jac.12371
• Kumar, N., Shankar, V., Poddar, A., (2020). Investigating the effect of limited climatic data on evapotranspiration-based numerical modeling of soil moisture dynamics in the unsaturated root zone: A case study for Potato crop. Modeling Earth Systems and Environment https://doi.org/10.1007/s40808-020-00824-8 
• Kumar, N., Shankar, V., Poddar, A., (2020). Agro-hydrologic modelling for simulating soil moisture dynamics in the root zone of Potato based on crop coefficient approach under limited climatic data. ISH Journal of Hydraulic Engineering. 1-17, https://doi.org/10.1080/09715010.2020.1789510
• Poddar, A., Kumar, N., Kumar, R., Shankar, V., & Jat, M. K. (2020). Evaluation of non-linear root water uptake model under different agro-climates. Current Science, 119(3), 485-496. doi: 10.18520/cs/v119/i3/485-496
• Poddar, A., Kumar, N., & Shankar, V. (2021). Evaluation of two irrigation scheduling methodologies for potato (Solanum tuberosum L.) in north-western mid-hills of India. ISH Journal of Hydraulic Engineering, 27(1), 90-99. https://doi.org/10.1080/09715010.2018.1518733

International Conference

• Kumar, N., Maharshi, S., Poddar, A., & Shankar, V. (2020, July). Evaluation of Artificial Neural Networks for Estimating Reference Evapotranspiration in Western Himalayan Region. In 2020 International Conference on Computational Performance Evaluation (ComPE) North-Eastern Hill University, Shillong, Meghalaya, India. Jul 2-4, 2020 (pp. 163-167). IEEE.
• Kumar, N., Poddar, A., & Shankar, V. (2019, August). Optimizing irrigation through environmental canopy sensing–A proposed automated approach. In AIP Conference Proceedings (Vol. 2134, No. 1, p. 060003). AIP Publishing LLC. International Conference on Applied Mechanics and Optimization (ICAMeO-2019), June 19th-21st, 2019, Mar Baselios College of Engineering and Technology, Kerala, India, DOI - https://doi.org/10.1063/1.5120228 
• Poddar, A., Kumar, N., & Shankar, V., (2018) “Investigation of parameters that effect capillary rise from shallow water table under the influence of crops”, 23rd International Conference on Hydraulics, Water Resources & Coastal Engineering (HYDRO-2018), December 19th-21st, NIT Patna, India. 
• Poddar, A., Kumar, N., & Shankar, V., (2018) “Effect of Capillary Rise on Irrigation Requirements for Wheat”, International Conference on “Sustainable Technologies for Intelligent Water Management”, February 16th-19th, Indian Institute of Technology Roorkee, India, pp. 277 (STIWM-181).
• Poddar, A., Sharma, A., & Shankar, V., (2017) “Irrigation scheduling for potato (Solanum Tuberosum L.) based on daily crop coefficient approach in a sub-humid sub-tropical region”, 22nd International Conference on Hydraulics, Water Resources & Coastal Engineering (HYDRO-2017), December 21st-23rd, L.D. College of Engineering, Ahmedabad, India, Vol. 2, pp. 1470-1475

National Conference

• Sharma, A., Poddar, A., & Shankar, V., (2016). Performance evaluation of data-driven and statistical rainfall runoff models for a mountainous catchment. Civil Engineering Conference-Innovation for Sustainability (CEC – 2K16), September 9th – 10th, Department of Civil Engineering, NIT Hamirpur (HP), pp 247-261.

Book Chapters

• Kumar, N., Poddar, A., & Shankar, V. (2020). Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters. In Numerical Optimization in Engineering and Sciences (pp. 25-34). Springer, Singapore. 2194-5365/ 978-981-15-3215-3 https://doi.org/10.1007/978-981-15-3215-3
• Poddar A., Kumar N., Shankar V. (2021) Performance Evaluation of Four Models for Estimating the Capillary Rise in Wheat Crop Root Zone Considering Shallow Water Table. In: Pandey A., Mishra S., Kansal M., Singh R., Singh V.P. (eds) Hydrological Extremes. Water Science and Technology Library, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-59148-9_29

Book Chapters

• Kumar, N., Poddar, A., & Shankar, V. (2020). Nonlinear Regression for Identifying the Optimal Soil Hydraulic Model Parameters. In Numerical Optimization in Engineering and Sciences (pp. 25-34). Springer, Singapore. 2194-5365/ 978-981-15-3215-3 https://doi.org/10.1007/978-981-15-3215-3
• Poddar A., Kumar N., Shankar V. (2021) Performance Evaluation of Four Models for Estimating the Capillary Rise in Wheat Crop Root Zone Considering Shallow Water Table. In: Pandey A., Mishra S., Kansal M., Singh R., Singh V.P. (eds) Hydrological Extremes. Water Science and Technology Library, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-59148-9_29