Optimal Irrigation Control Using Stochastic Cluster Point Processes for Rainfall Modelling and Forecasting
This report is based upon work supported by the National Science Foundation under NSF Grant No. 78-20245 ENG
Main Authors: | Rodriguez, Jorge Alberto Ramirez, Bras, Rafael L. |
---|---|
Published: |
Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering
2022
|
Online Access: | https://hdl.handle.net/1721.1/143026 |
Similar Items
-
Rainfall-runoff as spatial stochastic processes : data collection and synthesis.
by: Bras, Rafael L.
Published: (2009) -
Stochastic Rainfall Model for Irrigation Projects
by: Lee, Teang Shui, et al.
Published: (2004) -
A Distributed, Physically-based, Rainfall-runoff Model Incorporating Topography for Real-time Flood Forecasting
by: Cabral, Mariza C., et al.
Published: (2022) -
Simulation of future daily rainfall scenario using stochastic rainfall generator for a rice-growing irrigation scheme in Malaysia
by: Dlamini, N. S., et al.
Published: (2015) -
Multivariate Seasonal Time Series Forecast with Application to Adaptive Control
by: Curry, Kevin D., et al.
Published: (2022)