Shaini Naha
Shaini is a hydrological and hydrochemical modeller within the Environmental and Biochemical Sciences Department at the James Hutton Institute (JHI). Her educational background is in Hydrology, Remote Sensing and GIS. Prior to joining JHI, she pursued her PhD from University of Bristol at the Water and Environmental Research Group. Her research interest lies in modelling and understanding the impacts of hydrological extremes on hydrological processes and water quality.
Current research interests
She is currently involved in testing and comparing different process-based hydrological/ water quality models, applying different tools and datasets, for drought modelling in Scotland.
Ongoing research projects:
Emerging Water Futures, Scottish Government Strategic Research Programme 2022-27 | The James Hutton Institute: Shaini is involved in WP1: Understanding the vulnerabilities of Scotland’s water resources to drought where she is leading activities related to reviewing existing drought related data and modelling approaches and building and testing a hydrological drought risk modelling approach for Scotland.
Shaini leads the project “Using a detailed abstraction database to plan assessing current and future water resources availability in Scotland”. This research, funded by the Hydro Nation Chair R & I Programme, is a pilot project, in collaboration with the University of Aberdeen, SEPA and Scottish Water. The project explores collating datasets on actual daily water abstractions available for most water sectors in Scotland, with the view of using this for modelling activities, allowing a more accurate assessment of the current state of Scotland’s water resources and their vulnerability to climate extremes.
Shaini co-leads in the project "Using an integrated modelling framework for holistic modelling and stewardship of Scottish water systems", led by British Geological Survey and funded by the Hydro Nation Chair R & I Programme. This project looks into the possibilities of developing integrated modelling framework of Scottish water systems with the view of analysing the water systems more holistically, allowing explorations of the potential cross-system impacts and/or benefits.
Past research
Her PhD research involved prediction of the hydrological responses of a large scale river basin to changing land cover and climate conditions while also understanding the uncertainties associated with these modelled hydrological impacts. She focussed on the uncertainties arising from model parameterisation, calibration procedures, and also due to data availability at local to regional scale as opposed to global products.
Bibliography
- Naha, S.; A Rico-Ramirez, M.; Rosolem, R. (2023) Impact of local versus global datasets on hydrological responses in Mahanadi River basin in India, Hydrological Sciences Journal, 68(6), 856-872
- Naha, S.; Angel Rico-Ramirez, M.; Rosolem, R. (2021) Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India, Hydrology and Earth System Sciences, 25, 6339-6357
- Naha, S.; Thakur, P. K.; Aggarwal, S. P. (2016) Hydrological Modelling and data assimilation of Satellite Snow Cover Area using a Land Surface Model, VIC, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, pp. 353-360
- Naha, S.; A Rico-Ramirez, M.; Rosolem, R. (2023) Impact of local versus global datasets on hydrological responses in Mahanadi River basin in India, Hydrological Sciences Journal, 68(6), 856-872
- Naha, S.; Angel Rico-Ramirez, M.; Rosolem, R. (2021) Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India, Hydrology and Earth System Sciences, 25, 6339-6357
- Naha, S.; Thakur, P. K.; Aggarwal, S. P. (2016) Hydrological Modelling and data assimilation of Satellite Snow Cover Area using a Land Surface Model, VIC, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, pp. 353-360
- Naha, S.; Macleod, K.; Gagkas, Z.; Glendell, M. (2023) Evaluating the performance of processbased models for drought simulation in Scotland, European Geosciences Union, 23-28 April, 2023, Vienna.
- Naha, S.; Macleod, K.; Gagkas, Z.; Glendell, M. (2022) Understanding the vulnerabilities of Scotland’s water resources to drought, British Hydrological Society 14th National Symposium, 12-14 September 2022, Lancaster University
