A sedimentation model of a dam reservoir can be used not only for analyzing the cycle of dam renewal, but also for obtaining information about the quality of irrigation water from a dam reservoir. The aim of this report is to examine one of the simplest models with parameters that characterize sedimentation in dam reservoirs. For this purpose, data from the Jatiluhur dam reservoirs (storage volumes 811×10
6-3.0×10
9m
3) in Indonesia and the Anou dam reservoir (storage volume 9.8×10
6m
3) in Japan were applied.
We developed two hypotheses. One is that sedimentation into a lake Dottom is proportional to the load of suspended solids into dam reservoirs (case L1). The other is that it is proportional not to load into the reservoirs but to load from the reservoirs (case L2). Even though case L2 is well known in the literature, we added case L1 as we thought the actual circumstances would he somewhere between the two.
First we compared the settling rate of suspended solids in case L2. Settling rates at Tatiluhur were found to be 9-68- (supposed 435)m/y. In the literature, the settling rates in the eight Great Lakes (storage volumes 25×10
6-11×10
9m
3) were 8-447m/y. However, settling rates of the Anou dam reservoir were as large as 9055-57909m/v.
In case L1, the settling rates were given according to the results in case L2, the ratio of water depth, and the water remaining time. The given settling rates were 8 32 (supposed 53)m/y for Jatiluhur, 8-246m/y for the Great Lakes, and 94-95m/y for Anou. The rates for the Anou dam reservoir were not so large.
Thus, one of the characteristics of Anou dam reservoir is that the settling rate is very large (case L2) or that the sedimentation into a lake bottom is proportional to the load of suspended solids into dam reservoirs (case L1). For the Anou dam reservoir, both of the results seem to be reasonable when we remember the steep bed slope of the incoming river and the amount of sedimentation at the connection with the incoming river. Therefore, we are expecting that this sedimentation model is effective when both cases are applied.
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