Singular stochastic control model for algae growth management in dam downstream

J Biol Dyn. 2018 Dec;12(1):242-270. doi: 10.1080/17513758.2018.1436197.

Abstract

A stochastic control model for finding an ecologically sound, fit-for-purpose dam operation policy to suppress bloom of attached algae in its downstream is presented. A singular exactly solvable and a more realistic regular-singular cases are analysed in terms of a Hamilton-Jacobi-Bellman equation. Regularity and consistency of the value function are analysed and its classical verification theorem is established. Practical implications of the mathematical analysis results are discussed focusing on parameter dependence of the optimal controls. An asymptotic analysis with a numerical computation reveals solution behaviour of the Hamilton-Jacobi-Bellman equation near the origin, namely at the early stage of algae growth.

Keywords: 49L20; 62P12; 93E20; Hamilton–Jacobi–Bellman equation; Stochastic differential equation; attached algae; regular-singular control; singular control.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Eukaryota / growth & development*
  • Models, Biological*
  • Rivers*
  • Stochastic Processes
  • Viscosity