STOCHASTIC MODELING AND PREDICTION OF THE GANGES FLOW

摘要：

The Ganges is a sediment-laden, wide meandering river. The Ganges basin inside Bangladesh is approximately 27% of the total area of Bangladesh. Synthetic streamflow sequences are useful for analyzing reservoir operation and river basin management policies. In this study, the monthly discharge data of the Ganges have been modeled and predicted using the Thomas -Fiering model for the dependent stochastic component and by taking variable month-to-month correlation structures into account. The model can reproduce the periodicity of the monthly flows. The statistical parameters of observed and predicted data fit quite well and hence the predicted flow data may be used for future planning of water resources projects in Ganges dependent area in Bangladesh.

关键词： stochastic modeling prediction Ganges Thomas-Fiering

作者: Islam G.M.Tarekul Kawahara Yoshihisa

作者单位: Department of Civil and Environmental Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi Hiroshima 739-8527, Japan

会议类型: 国际会议

会议名称: 第16届亚太地区国际水利学大会暨第3届水工水力学国际研讨会(16th IAHR-APD Congress and 3rd Symoposium of IAHR-ISHS)

会议地点: 南京

会议语种:英文

页码: 6-11

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）