LSU Soil Hydrology & Remote Sensing Lab

Stochastic Hydrology

  • Sachindra, D., A., K., Rashid, M., Sehgal, V., Shahid, S., Perera, B., et al. (2019). Pros & cons of using wavelets in conjunction with genetic programming & generalised linear models in statistical downscaling of precipitation. Theoretical & Applied Climatology, 138(1), 617–638. https://doi.org/https://link.springer.com/article/10.1007/s00704-019-02848-2
  • Sehgal, V., & Sridhar, V. (2019). Watershed−scale retrospective drought analysis & seasonal forecasting using multi−layer, high−resolution simulated soil moisture for southeastern US. Weather & Climate Extremes, 23, 100191. https://doi.org/10.1016/j.wace.2018.100191
  • Sehgal, V., Lakhanpal, A., Maheswaran, R., Khosa, R., & Sridhar, V. (2018). Application of multi−scale wavelet entropy & multi−resolution Volterra models for climatic downscaling. Journal of Hydrology, 556, 1078–1095. https://doi.org/10.1016/j.jhydrol.2016.10.048
  • Sehgal, V., & Sridhar, V. (2018). Effect of hydroclimatological teleconnections on the watershed−scale drought predictability in the southeastern United States. Int’l Journal of Climatology, 38, e1139–e1157. https://doi.org/10.1002/joc.5439
  • Sehgal, V., Sridhar, V., Juran, L., & Ogejo, J. A. (2018). Integrating climate forecasts with the soil & water assessment tool (SWAT) for high−resolution hydrologic simulations & forecasts in the southeastern U.S. Sustainability, 10(9), 3079. https://doi.org/10.3390/su10093079
  • Lakhanpal, A., Sehgal, V., Maheswaran, R., Khosa, R., & Sridhar, V. (2017). A non−linear & non−stationary perspective for downscaling mean monthly temperature: A wavelet coupled second order Volterra model. Stochastic Environmental Research & Risk Assessment, 31(9), 2159–2181. https://doi.org/10.1007/s00477-017-1444-6
  • Sehgal, V., Sridhar, V., & Tyagi, A. (2017). Stratified drought analysis using a stochastic ensemble of simulated & in−situ soil moisture observations. Journal of Hydrology, 545, 226–250. https://doi.org/10.1016/j.jhydrol.2016.12.033
  • Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., & Bernhofer, C. (2016). Hydrologic regionalization using wavelet−based multiscale entropy method. Journal of Hydrology, 538, 22–32. https://doi.org/10.1016/j.jhydrol.2016.03.023
  • Sahay, R. R., & Sehgal, V. (2014). Wavelet−ANFIS models for forecasting monsoon flows: Case study for the Gandak river (India). Water resources, 41(5), 574–582. https://doi.org/10.1134/S0097807814050108
  • Sehgal, V., & Chatterjee, C. (2014). Auto updating wavelet based MLR models for monsoonal river discharge forecasting. Int. J. Civ. Eng. Res, 5, 401–406.
  • Sehgal, V., Sahay, R. R., & Chatterjee, C. (2014). Effect of utilization of discrete wavelet components on flood forecasting performance of wavelet based ANFIS models. Water resources management, 28(6), 1733–1749. https://doi.org/10.1007/s11269-014-0584-4
  • Sehgal, V., Tiwari, M. K., & Chatterjee, C. (2014). Wavelet bootstrap multiple linear regression−based hybrid modeling for daily river discharge forecasting. Water resources management, 28(10), 2793–2811. https://doi.org/10.1007/s11269-014-0638-7
  • Sahay, R. R. & Sehgal, V. (2013). Wavelet regression models for predicting flood stages in rivers: A case study in Eastern India. Journal of Flood Risk Management, 6(2), 146–155. https://doi.org/10.1111/j.1753-318X.2012.01163.x