Rainfall prediction and water demand -referring to the Thailand gravity irrigation district (6)

Tetsuro Fukuda

Research output: Contribution to journalArticle


In this paper, the probability of the rainfall was expressed in the Markoff's model, and the probability distribution was simulated by the Monte Carlo method, and the rainfall was generated simulatively. Using the rainfall in optional return period within generated rainfall, water demand was predicted. As the result, the relation between water demand and planting area in the dry season became clear. This fact becomes information which will be very precious in the water management in this area in future.

Original languageEnglish
Pages (from-to)917-926
Number of pages10
JournalJournal of the Faculty of Agriculture, Kyushu University
Issue number2
Publication statusPublished - Oct 1 2005


All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Agronomy and Crop Science

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