Giri, Subhasis

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  • Department of Ecology, Evolution, and Natural Resources
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Dr. Giri is a Biosystems Engineer with a background in Hydrology and Water Quality. His research interest focuses on interaction of anthropogenic, hydrology, climatic systems, and ecology on both natural and managed systems. He employs both field study/monitoring as well as computer modeling to provide decision centric information to solve real world problems. Recently, he has developed NJ Watershed Adapt to enhance flooding resiliency as well as improve eutrophication in the coastal communities in New Jersey. He likes multidisciplinary approaches to address questions in the complex environment that crosses traditional academic boundaries of land and water systems.


Giri, S., Mishra, A., Zhang, Z., Lathrop, R. G., & Alnahit, A. O. (2021). Meteorological and hydrological drought analysis and its impact on water quality and stream integrity. Sustainability (Switzerland).

Giri, S., Zhang, Z., Krasnuk, D., & Lathrop, R. G. (2019). Evaluating the impact of land uses on stream integrity using machine learning algorithms. Science of the Total Environment.

Giri, S., Arbab, N. N., & Lathrop, R. G. (2019). Assessing the potential impacts of climate and land use change on water fluxes and sediment transport in a loosely coupled system. Journal of Hydrology.

Giri, S., Lathrop, R. G., & Obropta, C. C. (2020). Climate change vulnerability assessment and adaptation strategies through best management practices. Journal of Hydrology.

Giri, S., 2021. Water quality prospective in Twenty First Century: status of water quality in major river basins, contemporary strategies and impediments: A review. Environmental Pollution 271,116332.

Qiu, Z., Kennen, J.G., Giri, S., Walter, T., Kang,Y., Zhang, Z., 2019. Reassessing the relationship between landscape alteration and aquatic ecosystem degradation from a hydrologically sensitive area prospective. Science of The Total Environment 650, 2850-2862.

Hamaamin, Y.A., Nejadhashemi, A.P., Zhang,Z., Giri, S., Adhikari, U., Herman, M.R.,. 2019.Evaluation of neuro-fuzzy and Bayesian techniques in estimating sediment loads. Sustainable Water Resources Management 5, 639-654.

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