Dr. Meenu Ramadas
Department : Infrastructure
Professional Summary
Oct 2023 – current: Associate Professor, School of Infrastructure, IIT Bhubaneswar, Odisha
Jan 2016 – Oct 2023: Assistant Professor, School of Infrastructure, IIT Bhubaneswar, Odisha
Jul 2015 – Dec 2015: Faculty Member, Department of Civil Engineering, NIT Calicut, Kerala
Jan 2016 – Oct 2023: Assistant Professor, School of Infrastructure, IIT Bhubaneswar, Odisha
Jul 2015 – Dec 2015: Faculty Member, Department of Civil Engineering, NIT Calicut, Kerala
Jul 2015 – Dec 2015: Faculty Member, Department of Civil Engineering, NIT Calicut, Kerala
2017 – 2019 : Coordinator, Second Phase Construction Masterplan Committee, IIT Bhubaneswar;
2021 – current : Faculty Advisor, M. Tech. (Water Resources Engineering);
2018 – 2019 : Chairperson, Wissenaire 2019, the annual techno-management festival of IIT Bhubaneswar;
2017 – current : Member, Womens’ Welfare Committee, IIT Bhubaneswar;
2017 – 2019 : Assistant Warden, Ganga & Subarnarekha Halls of Residence, IIT Bhubaneswar;
Publications
1Parwin, 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.
2Gautam, 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.
3Samantaray, 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
4Khan, 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
5Jena, S., Mohanty, B. P., Panda, R. K., Ramadas, M. (2021). “Toward Developing a Generalizable Pedotransfer Function for Saturated Hydraulic Conductivity Using Transfer Learning and Predictor Selector Algorithm.” Water Resources Research, 57(7), e2020WR028862. https://doi.org/10.1029/2020WR028862
6Jena, 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
7Samantaray, 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
8Barde, V., Nageswararao, M. M., Mohanty, U. C., Panda, R. K., Ramadas, M. (2020). “Characteristics of southwest summer monsoon rainfall events over East India.” Theoretical and Applied Climatology, 141(3), 1511-1528. https://doi.org/10.1007/s00704-020-03251-y
9Jena, S., Panda, R. K., Ramadas, M., Mohanty, B. P., Pattanaik, S. K. (2020). “Delineation of groundwater storage and recharge potential zones using RS-GIS-AHP: Application in arable land expansion.” Remote Sensing Applications: Society and Environment, 19,100354. https://doi.org/10.1016/j.rsase.2020.100354
10Samantaray, 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
11Samantaray, 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.
12Ramadas, M., Ojha, C. S. P., and 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
13Ramadas, M., and Govindaraju, R. S. (2015) “Choice of hydrologic variables for probabilistic drought classification.” Journal of Irrigation and Drainage Engineering, 05015013, doi: 10.1061/(ASCE)IR.1943-4774.0000981.
14Ojha, R., Ramadas, M., and Govindaraju, R. (2015). “Current and future challenges in groundwater I. Modeling and management of resources.” Journal of Hydrologic Engineering, Special Issue: Grand Challenges in Hydrology, A4014007. doi:10.1061/(ASCE)HE.1943-5584.0000928.
15Ramadas, M., Ojha, R., and 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.
16Ramadas, M., and 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.
17Ramadas, M., Maity, R., Ojha, R., and 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.
18Maity, R., Ramadas, M., and R. S. Govindaraju (2013). “Identification of hydrologic drought triggers from hydroclimatic predictor variables.” Water Resources Research, 49, 4476-4492, doi:10.1002/wrcr.20346.
19Ramadas Meenu, Rehana, S., and 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.
1Manekar, A., Ramadas, M.* (2023). Assessing the impacts of potential climate change on watershed hydrologic response using FDCs. Proceedings of the 12th World Congress on Water Resources and Environment (EWRA 2023), Thessaloniki, Greece, June 28, 2023.
2Barbhuiya, 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. Proceedings of the 12th World Congress on Water Resources and Environment (EWRA 2023), Thessaloniki, Greece. June 30, 2023.
3Sourya, D. A.* & Ramadas, M. (2023). Development of gridded monthly reference evapotranspiration dataset for Germany for long term trend analysis In EGU General Assembly Conference 2023, Session HS7.10 – Trends and Variations in Hydroclimatic Variables: Links to Climate Variability and Change, Poster presentation. April 2023 (virtual). https://doi.org/10.5194/egusphere-egu23-11681
4Barbhuiya, S.*, Ramadas, M., Jena, S., Biswal, S. S. (2023). Trend Analysis and Forecasting of Streamflow in the Upper Narmada Basin using Random Forest (RF) and Long Short-Term Memory (LSTM) Models In EGU General Assembly Conference 2023, Session HS7.10 – Trends and Variations in Hydroclimatic Variables: Links to Climate Variability and Change, April 2023 (virtual). https://doi.org/10.5194/egusphere-egu23-10952
5Majhi, T.* & Ramadas, M. (2023). Evaluation of Best Management Practices (BMPs) For WES Conservation in an Agricultural Watershed In EGU General Assembly Conference 2023, Session HS5.9 – Impacts of land use and land cover changes on water resources and water-related ecosystem services: from assessments to solutions. Poster presentation, April 2023 (virtual). https://doi.org/10.5194/egusphere-egu23-12098
6Ramadas, M.*, Samantaray, A. K. (2022). Applications of Probabilistic Models in Hydro-Meteorological Drought Monitoring & Frequency Analysis, in IISA 2022 Conference organized by International Indian Statistical Association, at IISc Bangalore, India, December 26-30, 2022.
7Ramadas, M.*, Manekar, A., Babbar-Sebens, M., Landu, K. (2022). Regional Hydro-meteorological Drought Characteristics using High Resolution Indian Monsoon Data Assimilation and Analysis (IMDAA) Datasets, in the 19th Annual Meeting of the Asia Oceania Geosciences Society (AOGS) in virtual mode, Aug. 03, 2022 (virtual)
8Gautam, S.*, Samantaray, A. K., Babbar-Sebens, M., Ramadas, M. R. (2022) Assessment of historical and projected hydrological drought in the Umatilla River Basin, OR, USA. Paper ID: ID# 1104028, In 2022 World EWRI Congress, Atlanta, USA. June 5-8, 2022.
9Manekar, 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 Roorkee Water Conclave 2022 jointly organized by IIT Roorkee and National Institute of Hydrology (NIH) Roorkee, March 03, 2022 (virtual)
10Satapathy, T.*, Ramadas, M., & Dietrich, J. (2021). A novel agricultural drought monitoring framework using remote sensing products. In EGU General Assembly Conference Abstracts (pp. EGU21-10228), April 2021 (virtual)
11Samantaray, A. K.*, Mitra, A. & Ramadas, M. (2020). A Probabilistic Graphical Model Approach to Identifying Spatial Changes in Monthly Precipitation under Climate Change, In First AI for Earth Sciences Workshop, The International Conference on Learning Representations (ICLR) 2020 (virtual).
12Ramadas, M.* & Das, A. (2019). Climate change impact and uncertainty analysis of IDF curves for the city of Bhubaneswar. In Water and Climate Change Assessment I, Water Future Conference-2019, Bangalore, India. August 2019.
13Samantaray, A.*, Singh, G., and Ramadas, M. (2017) Application of the Relevance Vector Machine to Drought Monitoring. Id: 105, 7th International conference on Soft Computing for Problem Solving (SocProS 2017) by Soft Computing Research Society (SCRS), Odisha, India. Dec. 23-24, 2017
14Singh, G.*, Ramadas, M., & Panda, R. K. (2018) Development of Soil Moisture-Vegetation Stress-based Agricultural Drought Index (SVADI) through Integration of Remotely Sensed Soil Moisture and Vegetation Indices. Poster ID: H43G-2529, AGU Fall Meeting 2018, Washington D.C. USA. December 2018.
15Ramadas, M.*, Singh, G., Samantaray, A., and Panda, R. K. (2017) Agricultural Drought Monitoring Framework for an Eastern India River Basin using Remotely Sensed Soil Moisture Data. Id: 245655, 2017 World EWRI Congress, Sacramento, CA. May 21-25, 2017.
16Ramadas, M.* (2016) Probabilistic drought monitoring using crop water stress-based agricultural drought index. In Floods, Drought and Climate Change, Id: 275, TROPMET 2016 – National Symposium on Tropical Meteorology: Climate Change and Coastal Vulnerability, Bhubaneswar, Odisha, India. Dec. 18-21, 2016
17Ramadas, M.*, Chaubey, I., Niyogi, D., Song, C. X., and Govindaraju, R. S. (2014) Probabilistic assessment of agricultural droughts using graphical models. In 69th SWCS International Annual Conference, Lombard, IL. July 27-29, 2014.
18Ramadas, M.*, and Govindaraju, R. S. (2014) Probabilistic assessment of agricultural droughts using graphical models. In 2014 Hydro-Climate Symposium on Modeling Climate Change, Id: 478, 2014 World EWRI Congress, Portland, OR. June 1-5, 2014.
19Ramadas, M.*, Maity, R., Chaubey, I., Niyogi, D., Song, C. X., Nendunuri, K. V., Govindaraju, R. S. (2013) Identification of hydrologic drought triggers from hydro-climatic predictor variables. Poster presented at the 2013 SWCS International Annual Conference, Reno, NV. July 21-24, 2013.
20Ramadas, M.* Govindaraju, R.S. (2013) Unsaturated flow in vertically non-uniform soils: derivation of sharp front models for infiltration and redistribution. In 11th Symposium on Groundwater Hydrology, Quality and Management, Abstract Id: 382, 2013 World EWRI Congress, Cincinnati, OH. May 19-23, 2013.
21Ramadas, M., Maity, R., Govindaraju, R. S. (2012) Dimensionality reduction in hydro-climatic variables for probabilistic streamflow prediction using a hybrid approach. In Hydro-climate Symposium, Abstract Id: 632, World EWRI Congress, Albuquerque, NM. May 20-24, 2012.
22Ramadas, M.*, Mujumdar, P. P. (2012) Assessment of hydrologic impacts of climate change in Tunga-Bhadra River Basin, India with HEC-HMS and SDSM. Poster presented at the 2012 World Environmental and Water Resources Congress, Albuquerque, NM. May 20-24, 2012.
23Chaubey, I.*, Ramadas, M., Mallya, G., Ojha, R., Govindaraju, R. S., Niyogi, D., Song, C. X., Nendunuri, K.V. (2012) Development of drought triggers for agricultural applications. Poster presented at the 2012 Land Grant and Sea Grant National Water Conference, Portland, OR. May 20-24, 2012.
1Parwin, R.*, Atnurkar, A., Ramadas, M. (2023). Assessing the Future Irrigation Water Demands at Watershed-scale for Maize Crop using Climate Change Projections in the National Conference on Advances in Agrometeorological Interventions for Climate Resilience Agriculture (AGMET2022) organized by Association of Agrometeorologists (AAM), at Tamil Nadu Agricultural University, Coimbatore, Feb. 15-17, 2023
2Atnurkar, A.*, Parwin, R., Ramadas, M. and Mishra, N. (2023). Estimation of Soil Moisture using Satellite-based Vegetation Indices from Sentinel-2 in the National Conference on Advances in Agrometeorological Interventions for Climate Resilience Agriculture (AGMET2022) organized by Association of Agrometeorologists (AAM), at Tamil Nadu Agricultural University, Coimbatore, Feb. 15-17, 2023
3Sourya, D. A.*, Ramadas, M., Panda, R. K. (2023) Estimating Reference Evapotranspiration based on Limited Hydrometeorological Data using Neural Network Models in the National Conference LAI-2023 organized by NIT Rourkela, Jan. 09-12, 2023.
4Srinivasan, D*, Altafuddin, Md., Ramadas, M. & Panda, R. K. (2019). Impacts of climate change on streamflows using HEC-HMS model: Case study of Kesinga watershed, Odisha. In Technical Session : Climate Issues, International Conference on Coastal and Inland water Systems (CIS 2019), Bhubaneswar, India, December 2019.
5Ramadas, M.*, and Govindaraju, R. S. (2014) A new index for agricultural droughts based on crop needs and available soil moisture. In HYDRO 2014 International, Paper Id: HYDRO2014_194, MANIT, Bhopal, India. Dec. 18-20, 2014.