Sreeparvathy, V. and Srinivas, V.V, Multivariate Hydrometeorological Network Design for Monitoring Dryness and Wetness Conditions under Climate Change Scenarios: An approach considering Remote Sensing and Atmospheric data products, Journal of Hydrology.(Under Review)
Sreeparvathy, V. and Srinivas, V.V, Meteorological flash droughts risk projections based on CMIP6 climate change scenarios, npj Climate and Atmospheric Science, 5(1), pp.1-17.
Sreeparvathy, V. and Srinivas, V.V. Srinivas, Global Assessment of Spatiotemporal Variability of Wet, Normal and Dry Conditions using Multiscale Entropy-based Approach, Scientific Reports, 12(1), pp.1-18.
Sreeparvathy, V. and Srinivas, V.V, A Bayesian fuzzy clustering approach for design of precipitation gauge network using merged remote sensing and ground-based precipitation products, Water Resources Research, 58(2), p.e2021WR030612.
Sreeparvathy, V and Srinivas, V.V, A fuzzy entropy approach for design of hydrometric monitoring networks, Journal of Hydrology, 586, 124797.
Sreeparvathy, V., Kambhammettu, B.V.N.P., Peddinti, S.R. and Sarada, P.S.L, Application of ERT, saline tracer and numerical studies to delineate preferential paths in fractured granites, Groundwater, 57 (1), pp.126-139.
Sreeparvathy, V. and Srinivas V. V. Amplified Future Risk of Flash Droughts based on CMIP6 Climate projections, AGU fall meeting, Chicago, USA.
https://ui.adsabs.harvard.edu/abs/2022AGUFM.H31B..03S/abstract
Sreeparvathy, V. and Srinivas V. V. An Approach to Integrate Ground- and Satellite-based Products for Multivariate Hydrometeorological Network Design to Monitor Dry and Wet condi- tions, EGU General Assembly 2022, Vienna, Austria (on-site), EGU22-610.
https://doi.org/10.5194/egusphere-egu22-610
Sreeparvathy, V. and Srinivas V. V. A Multi-scalar Global Assessment of Drought and Wetness Variability, AGU fall meeting, New Orleans, USA.
https://doi.org/10.1002/essoar.10510500.1..03S/abstract
Sreeparvathy, V. and Srinivas V. V. Optimal design of precipitation gauge network using a two-stage clustering procedure utilizing satellite-based data, EGU General Assembly, online, pp. EGU21-3769.
https://doi.org/10.5194/egusphere-egu21-3769
Sreeparvathy, V. and Srinivas V. V. Optimal design of precipitation gauge network using Bayesian framework, In AGU Fall Meeting, online, Vol. 2020, pp. A244-08.
https://ui.adsabs.harvard.edu/abs/2020AGUFMA244...08V/abstract
Sreeparvathy, V. and Srinivas V. V. A Comparative Study of Entropy-based Methods for Optimal Design of Streamgauge Monitoring Networks, EGU General Assembly Online, EGU2020-398.
https://doi.org/10.5194/egusphere-egu2020-398
Sanaga, S., Sreeparvathy, V. Kbvn, P., Peddinti, S.R. and PSL, S. Joint Use of ERT, Tracer, and Numerical Techniques to Image Preferential Flow Paths in a Fractured Granite Aquifer. In AGU Fall Meeting, Vol. 2017, pp. H51M-02.
https://ui.adsabs.harvard.edu/abs/2017AGUFM.H51M..02S/abstract
Sreeparvathy, V. and Kbvn, Phanindra. Joint Use of ERT, Saline Tracer and Numerical Studies in Detecting Preferential Flow and Transport Paths of Fractured Granites, 7th Interna- tional Groundwater Conference (IGWC-2017), New Delhi, India