Parwin, R., Ramadas, M., Agrawal, A., & Atnurkar, A. (2023). Impacts of climate change on future crop water demand in an agricultural watershed in Mayurbhanj district of Odisha, India. Journal of Agrometeorology, 25(2), 326-329. https://journal.agrimetassociation.org/index.php/jam/article/view/1952/1494
Gautam, S., A. Samantaray, M. Babbar-Sebens, and Ramadas, M. (2023). “Characterization and propagation of historical and projected droughts in the Umatilla River Basin, Oregon, USA.” Advances in Atmospheric Sciences, https://doi.org/10.1007/s00376-023-2302-8.
Samantaray, A. K., Ramadas, M., Panda, R. K. (2022). “Changes in drought characteristics based on rainfall pattern drought index and the CMIP6 multi-model ensemble.” Agricultural Water Management, 266, 107568. https://doi.org/10.1016/j.agwat.2022.107568.
Khan, Z., Abraham, E., Aggarwal, S., Ahmad Khan, M., Arguello, R., Babbar-Sebens, M., ... Yue, Q. (2022). “Emerging themes and future directions of multi-sector nexus research and implementation.” Frontiers in Environmental Science, 10, 1-11. https://doi.org/10.3389/fenvs.2022.918085.
Samantaray, A. K., Mitra, A., Ramadas, M., Panda, R. K. (2021). “Regionalization of hydroclimatic variables using Markov random field model for climate change impact assessment.” Journal of Hydrology, 596, 126071. https://doi.org/10.1016/j.jhydrol.2021.126071.
Samantaray, A. K., Ramadas, M., Panda, R. K. (2021). “Assessment of impacts of potential climate change on meteorological drought characteristics at regional scales.” International Journal of Climatology, 41, E319-E341. DOI: 10.1002/joc.6687.
Jena, S., Panda, R. K., Ramadas, M., Mohanty, B. P., Samantaray, A. K., Pattanaik, S. K. (2021). “Characterization of groundwater variability using hydrological, geological, and climatic factors in data-scarce tropical savanna region of India.” Journal of Hydrology: Regional Studies, 37, 100887. https://doi.org/10.1016/j.ejrh.2021.100887.
Samantaray, A. K., Singh, G., Ramadas, M., Panda, R. K. (2019). “Drought Hotspot Analysis and Risk Assessment using Probabilistic Drought Monitoring and Severity‐Duration‐Frequency Analysis.” Hydrological Processes 33 (3), 432-449. https://doi.org/10.1002/hyp.13337.
Ramadas, M., Ojha, C. S. P., Govindaraju, R. S. (2016) "Analytical models of infiltration and redistribution for unsaturated flow in soils with vertically non-uniform saturated hydraulic conductivity." ISH Journal of Hydraulic Engineering, 22:2, 181-192, doi: 10.1080/09715010.2015.1132640.
Ramadas, M., Govindaraju, R. S. (2016) "Choice of hydrologic variables for probabilistic drought classification." ASCE Journal of Irrigation and Drainage Engineering, 05015013, doi: 10.1061/(ASCE)IR.1943-4774.0000981.
Ojha, R., Ramadas, M., Govindaraju, R. (2015). "Current and future challenges in groundwater I. Modeling and management of resources." ASCE Journal of Hydrologic Engineering, Special Issue: Grand Challenges in Hydrology, A4014007. doi: 10.1061/(ASCE)HE.1943-5584.0000928.
Ramadas, M., Ojha, R., Govindaraju, R. (2015). "Current and future challenges in groundwater II. Water quality modeling." Journal of Hydrologic Engineering, Special Issue: Grand Challenges in Hydrology, A4014008. doi: 10.1061/(ASCE)HE.1943-5584.0000936.
Ramadas, M., Govindaraju, R. S. (2015). "Probabilistic assessment of agricultural droughts using graphical models." Journal of Hydrology, 526, 151-163. doi: 10.1016/j.jhydrol.2014.09.026.
Ramadas, M., Maity, R., Ojha, R., Govindaraju, R. S. (2015). "Predictor selection for streamflows using a graphical modeling approach." Stochastic Environmental Research and Risk Assessment, 29(6), 1583-1599. doi: 10.1007/s00477-014-0977-1.
Maity, R., Ramadas, M., R. S. Govindaraju (2013). "Identification of hydrologic drought triggers from hydroclimatic predictor variables." Water Resources Research, 49, 4476–4492, doi: 10.1002/wrcr.20346.
Ramadas Meenu, Rehana, S., Mujumdar, P. P. (2012). "Assessment of hydrologic impacts of climate change in Tunga-Bhadra River Basin, India with HEC-HMS and SDSM." Hydrological Processes, 27(11), 1572–1589. doi: 10.1002/hyp.9220.
Barbhuiya, S., Ramadas, M., Biswal, S. S. (2023) Nonstationary Flood Frequency Analysis: Review of Methods and Models. Submitted as a book chapter to “River, Sediment and Hydrological Extremes: Causes, Impacts, and Management" (Under review)
Samantaray A.K., Singh G., Ramadas M. (2019) Application of the Relevance Vector Machine to Drought Monitoring. In: Bansal J., Das K., Nagar A., Deep K., Ojha A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore.
Ramadas M., Samantaray A.K. (2018) Applications of Remote Sensing and GIS in Water Quality Monitoring and Remediation: A State-of-the-Art Review. In: Bhattacharya S., et al. (eds) Water Remediation. Energy, Environment, and Sustainability. Springer, Singapore.
Kartick, G. M., Jena, S., Ramadas, M. 2023. Delineation of Sustainable Groundwater Extraction and Recharge Potential Zones in Agricultural Micro-watersheds Using an Integrated RS-GIS-AHP Approach. In the 20th Annual Meeting of the Asia Oceania Geosciences Society (AOGS2023) session D3-PM2, Singapore.
Manekar, A., Ramadas, M. 2023. Assessing the impacts of potential climate change on watershed hydrologic response using FDCs. In Proceedings of the 12th World Congress on Water Resources and Environment (EWRA 2023), Thessaloniki, Greece
Barbhuiya, S., Ramadas, M., Kartick, G. M., Biswal, S. S. 2023. Runoff prediction in a tropical agricultural watershed: a comparison between machine learning-based and conceptual hydrological models. In Proceedings of the 12th World Congress on Water Resources and Environment (EWRA 2023), Thessaloniki, Greece
Manekar, A., Ramadas, M. 2022. Comparison of state-of-the-art regionalization techniques coupled with SWAT for predicting streamflow in ungauged watersheds in Eastern India. In Proceedings of the second Roorkee Water Conclave jointly organized by IIT Roorkee and National Institute of Hydrology (NIH) Roorkee (RWC 2022), Roorkee, Uttarakhand, India
