Biswo Poudel

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This paper develops a model of sedimentation management in reservoirs. It contributes to the existing literature on the topic in different ways. The model is set in stochastic setting and is rich enough to accommodate the study of different contingencies such as weather fluctuations, regulation changes due to global warming or other events that causes change in public perception regarding large reservoirs. More over, this model also uses a new numerical method to solve nonlinear optimization equation that in some cases is faster than existing models and requires less computation. Such nonlinear differential equations appear naturally in sediment management problems. Data from Tarbela reservoir in Pakistan, one of the most sediment prone reservoirs, is used to calibrate the model and our result suggests that given the specific assumptions regarding cost functions of sediment removal, the dam could be sustainably run.