DC 欄位 | 值 | 語言 |
dc.contributor | 土木工程學系 | en |
dc.contributor.author | Lee, Hong-Yuan | en |
dc.contributor.author | Lin, Ying-Tien | en |
dc.contributor.author | Chiu, Yu-Jia | en |
dc.creator | Lee, Hong-Yuan; Lin, Ying-Tien; Chiu, Yu-Jia | - |
dc.date | 2006-08 | - |
dc.date.accessioned | 2008-03-07T02:43:43Z | - |
dc.date.accessioned | 2018-07-09T17:14:17Z | - |
dc.date.available | 2008-03-07T02:43:43Z | - |
dc.date.available | 2018-07-09T17:14:17Z | - |
dc.date.issued | 2006-08 | - |
dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/64164 | - |
dc.description.abstract | Study of soil erosion in the reservoir watershed, the main source of reservoir sedimentation that affects the reservoir’s lifespan
and capacity, is of vital importance for watershed management. Due mainly to the lack of data, empirical formulas are commonly used to
estimate reservoir sedimentation. However, these estimations are far from accurate. Field measurements data of discharge and suspended
sediment were collected during three typhoon events in Shihmen Reservoir watershed, Taiwan. Temporal variations of water surface
elevation, discharge, and concentration of suspended sediment were measured. A numerical model, Hydrological Simulation Program
Fortran HSPF , developed by the USEPA was adopted to simulate the sediment yield. However, as calibration and verification data are
not always available and the parameter-calibration process is complicated and tedious for novice users of the model, an artificial neural
network ANN model was proposed. Significant amount of the synthetic data from the calibrated HSPF model were first generated to
train the ANN model, which in turn was used to estimate the sediment yield. Comparisons of the sediment yield using both the HSPF and
ANN model give correlation coefficients of 0.96 for training and 0.93 for validation. Without the complicated parameter calibration
process, the ANN model was faster and easier to use than the HSPF model. | en |
dc.format.extent | 314146 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | en_US | en |
dc.language.iso | en_US | - |
dc.relation | Journal of Hydrologic Engineering 11: 362-370 | en |
dc.relation.ispartof | Journal of Hydrologic Engineering 11 | en_US |
dc.subject | Sediment yield | en |
dc.subject | Field investigations | en |
dc.subject | Hydrologic models | en |
dc.subject | Sediment concentration | en |
dc.subject | Estimation | en |
dc.subject | Reservoirs | en |
dc.subject | Typhoons. | en |
dc.title | Quantitative Estimation of Reservoir Sedimentation from Three Typhoon Events | en |
dc.type | journal article | en |
dc.identifier.doi | 10.1061/(ASCE)1084-0699(2006)11:4(362) | - |
dc.identifier.scopus | 2-s2.0-33745259901 | - |
dc.relation.pages | 362-370 | - |
dc.identifier.uri.fulltext | http://ntur.lib.ntu.edu.tw/bitstream/246246/64164/1/Quantitative Estimation of Reservoir Sedimentation from Three Typhoon Events.pdf | - |
item.languageiso639-1 | en_US | - |
item.cerifentitytype | Publications | - |
item.fulltext | with fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | open | - |
crisitem.author.dept | Civil Engineering | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 土木工程學系
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