Broad Area
Sub-surface flow modelling
Macropore flow
Modelling of Thin Film Flow
Optimization and Inverse modelling
Multi-objective optimization
Flood Modelling, and Mapping
Doctoral Research
Macropores constitute around 5% of the total soil pores, but account for 70-80% of water and solute movement. Despite their importance, the existing studies in India mostly ignore their effect while modelling water and contaminant movement in subsurface. This study proposes to develop a modified model for flow through macropores based on numerical and experimental analysis.
Supervisor:
Dr. Richa Ojha,
Associate Professor in the Department of Civil Engineering, IIT Kanpur
Email: richao@iitk.ac.in
Publications:
Conferences
P. Anoop, R. Srivastava (2022), Flood modelling and mapping for a reach of the Narmada River, HYDRO-22
P.Anoop, V. Nirali, Ojha R. (2024), Multi-Objective Optimization of Mathematical Models with Multi-population Strategy: A Case Study on Soil-Water Flow Parameter Estimation, International Conference on Computations and Data Science (CoDS, 2024), IIT Roorkee
V. Nirali, P.Anoop, Tripathi, S., Ojha R. (2024), Impact of Temporal Resolution of Soil Moisture Observations on Dual-Porosity Model Parameter Estimation. INTERNATIONAL WATER CONFERENCE FOR SUSTAINABLE DEVELOPMENT GOALS (IWCSDG - 2024)
Book Chapters:
P. Anoop, Ojha R (2024): Macropore flow and its Characteristics, In Singh K.K and Ojha C.S.P. (Eds), Sustainable Management of Land, Water and Pollution of Built-up Area, Springer Nature
Journal Articles: