Dave, R., Subramanian, S.S. and Bhatia, U., 2021. Extreme precipitation induced concurrent events trigger prolonged disruptions in regional road networks. Environmental Research Letters, 16(10), p.104050.
(https://doi.org/10.1088/1748-9326/ac2d67)
Raj, S. V., Bhatia, U., & Kumar, M. (2021). Cyclone preparedness strategies for regional power transmission systems in data-scarce coastal regions of India. arXiv preprint arXiv:2105.00909.
(https://arxiv.org/abs/2105.00909)
Gangwal, U., Singh, M., Pandey, P.K., Kamboj, D., Chatterjee, S. and Bhatia, U., 2022. Identifying early-warning indicators of onset of sudden collapse in networked infrastructure systems against sequential disruptions. Physica A: Statistical Mechanics and its Applications, 591, p.126796.
(https://doi.org/10.1016/j.physa.2021.126796)
Bhatia, U., Sela, L., & Ganguly, A. R. (2020). Hybrid method of recovery: combining topology and optimization for transportation systems. Journal of Infrastructure Systems, 26(3), 04020024.
(https://doi.org/10.1061/(ASCE)IS.1943-555X.0000566)
Gangwal, U., Bhatia, U., Singh, M., Pandey, P. K., Kamboj, D., & Chatterjee, S. (2020). Identifying early-warning indicators of tipping points in networked systems against sequential attacks. arXiv preprint arXiv:2009.11322.
(https://arxiv.org/abs/2009.11322)
Bhatia, U., Kumar, D., Kodra, E., & Ganguly, A. R. (2015). Network science based quantification of resilience demonstrated on the Indian Railways Network. PloS one, 10(11), e0141890.
(https://doi.org/10.1371/journal.pone.0141890)
Climate Extremes
Tantary, D., Tangirala, A.K., Murthugudde, R., Ghosh, S., Kumar, R. and Bhatia, U., 2023. Geographical trapping of synchronous extremes amidst increasing variability of Indian Summer Monsoon Rainfall. Geophysical Research Letters, 50(22), p.e2023GL104788.
(https://doi.org/10.1029/2023GL104788)
Upadhyay, D., Dixit, S. and Bhatia, U., 2023. Quantifying the role of internal climate variability and its translation from climate variables to hydropower production at basin scale in India. Journal of Hydrometeorology, 24(3), pp.407-423.
(https://doi.org/10.1175/JHM-D-22-0065.1)
Raj, S.V., Bhatia, U. and Kumar, M., 2022. Cyclone preparedness strategies for regional power transmission systems in data-scarce coastal regions of India. International Journal of Disaster Risk Reduction, 75, p.102957.
(https://doi.org/10.1016/j.ijdrr.2022.102957)
Upadhyay, D., Mohapatra, P., & Bhatia, U. 2021. Depth-Duration-Frequency of Extreme Precipitation Events Under Internal Climate Variability: Indian Summer Monsoon. Journal of Geophysical Research: Atmospheres, 126(8), e2020JD034193.
(https://doi.org/10.1029/2020JD034193)
Vulnerability Mapping and Recovery Planning
Borah, A., Bardhan, R. and Bhatia, U., 2023. Protecting heritage: Insights into effective flood management using green infrastructure in a highly urbanized environment. International Journal of Disaster Risk Reduction, 98, p.104075.
(https://doi.org/10.1016/j.ijdrr.2023.104075)
Dave, R., Choudhari, T., Maji, A. and Bhatia, U., 2023. Quantitative framework for establishing low-risk inter-district travel corridors during COVID-19. Transportation Research Record, 2677(4), pp.335-349.
(https://doi.org/10.1177/03611981211064994)
Tripathy, S.S., Bhatia, U., Mohanty, M., Karmakar, S. and Ghosh, S., 2021. Flood evacuation during pandemic: a multi-objective framework to handle compound hazard. Environmental Research Letters, 16(3), p.034034.
Patil, R., Dave, R., Patel, H., Shah, V. M., Chakrabarti, D., & Bhatia, U. 2021. Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting. Applied Network Science, 6(1), 1-19.
(https://doi.org/10.1007/s41109-020-00346-3)
Kulkarni, S., Dave, R., Bhatia, U. and Kumar, R., 2023. Tracing spatiotemporal changes in agricultural and non-agricultural trade networks of India. Plos one, 18(9), p.e0286725.
(https://doi.org/10.1371/journal.pone.0286725)
Machine Learning and Data Sciences for Earth System Processes
Bhasme, P. and Bhatia, U., 2023. Improving the interpretability and predictive power of hydrological models: Applications for daily streamflow in managed and unmanaged catchments. Journal of Hydrology, p.130421.
(https://doi.org/10.1016/j.jhydrol.2023.130421)
Bhasme, P., Vagadiya, J. and Bhatia, U., 2022. Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes. Journal of Hydrology, 615, p.128618.
(https://doi.org/10.1016/j.jhydrol.2022.128618)
Harilal, N., Singh, M., & Bhatia, U. (2021). Augmented convolutional LSTMs for generation of high-resolution climate change projections. IEEE Access, 9, 25208-25218.
(https://ieeexplore.ieee.org/abstract/document/9348885)
Bhatia, U., Gouhier, T. and Ganguly, A.R., 2018. Universal and generalizable restoration strategies for degraded ecological networks. arXiv preprint arXiv:1811.10497.
(https://doi.org/10.48550/arXiv.1811.10497)
Conferences, Abstracts, and Presentations
Borah, A., Dave, R. and Bhatia, U., 2023. Functional response evaluation of hard and soft adaptation strategies in urban flooding (No. EGU23-746). Copernicus Meetings.
(https://doi.org/10.5194/egusphere-egu23-746)
Bhasme, P. and Bhatia, U., 2023. Synergizing Machine Learning with Conceptual Model for Daily Reservoir Storage Predictions in the Data-scarce catchments (No. EGU23-774). Copernicus Meetings.
(https://doi.org/10.5194/egusphere-egu23-774)
Upadhyay, D., Dubey, S. and Bhatia, U., 2023. Deriving optimal single-reservoir operating policies with reinforcement learning based approach incorporating uncertainties of demand and streamflow (No. EGU23-776). Copernicus Meetings.
(https://doi.org/10.5194/egusphere-egu23-776)
Bhatia, U., Goyal, S. and Kumar, R., 2023. Restructuring the Indian agricultural system toward sustainability and lower environmental costs (No. EGU23-5975). Copernicus Meetings.
(https://doi.org/10.5194/egusphere-egu23-5975)
Dave, R. and Bhatia, U., 2023. Investigating the impact of extreme precipitation induced urban flooding on road network disruption (No. EGU23-738). Copernicus Meetings.
(https://doi.org/10.5194/egusphere-egu23-738)
Bhasme, P. and Bhatia, U., 2023. Leveraging Contextual Cues from a Conceptual Model with Predictive Skills of Machine Learning for Improved Predictability and Interpretability in the Hydrological Processes.
(https://doi.org/10.22541/essoar.167415209.91340990/v1)
Bhatia, U., Upadhyay, D. and Mohapatra, P.K., 2022. Comparative analysis of internal climate variability and model uncertainty on Indian summer monsoon extreme precipitation. Authorea Preprints.
(https://doi.org/10.1002/essoar.10503071.1)
Subramanian, S.S., Dave, R. and Bhatia, U., 2022. An integrated approach to analyze concurrent debris flow-induced transport network failures. Authorea Preprints.
(https://doi.org/10.1002/essoar.10509608.1)
Upadhyay, D. and Bhatia, U., 2021, December. Optimal Reservoir Operation Under Internal Climate Variability for Improving Water Supply Reliability. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H45L-1319).
(https://ui.adsabs.harvard.edu/abs/2021AGUFM.H45L1319U/abstract)
Borah, A. and Bhatia, U., 2021, December. Effect of Spatial Configuration of Green Infrastructure on Flood Risk Estimates in an Urban City and its Influence on Hydrological Response of the Urban Watershed. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H35F-1094).
(https://ui.adsabs.harvard.edu/abs/2021AGUFM.H35F1094B/abstract)
Dixit, S., Upadhyay, D. and Bhatia, U., 2021, December. Contribution of Internal Variability on Hydropower Production Under Changing Demand Scenario. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H41K-09).
(https://ui.adsabs.harvard.edu/abs/2021AGUFM.H41K..09D/abstract)
Mansoor, D., Tangirala, A. and Bhatia, U., 2021, December. Decadal Variability in Synchronization of Extreme Precipitation During the Indian Summer Monsoon. In AGU Fall Meeting Abstracts (Vol. 2021, pp. GC55D-0454)
(https://ui.adsabs.harvard.edu/abs/2021AGUFMGC55D0454M/abstract)