Details of Book Chapters Published


  1. Sahoo B., Nanda T., Chatterjee C. (2022). “Flood forecasting using simple and ensemble Artificial Neural Networks”. In: Pandey A., Chowdary V.M., Behera M.D., Singh V.P. (eds) Geospatial Technologies for Land and Water Resources Management. Water Science and Technology Library, vol 103. Springer, Cham.
  2. Tiwari, M. K., and Chatterjee, C. (2018). “Flood forecasting and uncertainty assessment using wavelet- and bootstrap-based neural networks”, Chapter 4 in Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering, IGI Global, 74-93.
  3. Das, D. M., Singh, R., Kumar, A., Mailapalli, D. R., Mishra, A., and Chatterjee, C. (2016). “A multi-model ensemble approach for stream flow simulation”, Chapter 4 in Modeling Methods and Practices in Soil and Water Engineering, edited by Panigrahi, B and Goyal, CRC Press, 72-100.
  4. Kumar, R., and Chatterjee, C. (2011). “Development of regional flood frequency relationships for gauged and ungauged catchments using L-moments”, in IN EXTREMIS: Disruptive Events and Trends in Climate and Hydrology, edited by J. P. Kropp and H. J. Schellnhuber, Springer, 105-127.