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.
|Number of pages||10|
|Journal||Journal of the Faculty of Agriculture, Kyushu University|
|Publication status||Published - Oct 1 2005|
All Science Journal Classification (ASJC) codes
- Agronomy and Crop Science