2006 Volume 19 Issue 3 Pages 171-182
We have developed a new streamflow prediction model that takes into consideration social change, which can be used in developing countries. This new model can predict annual and seasonal streamflow using census data and area averaged rainfall data. The model needs the following social change factors: population, forest land, crop land, paddy land, irrigated area and major rice production. The model can estimate annual and seasonal streamflow with extreme accuracy during 1958-1990. Moreover, the model can predict annual and seasonal streamflow with good accuracy in the next six years. The case study watershed has a vast irrigated area in lower basin, which needs much water. The model is able to help to manage water resources in this target basin.