A sedimentation model for small watersheds
| dc.contributor.author | Wells, Wade G.(Wade Glen),1939- | |
| dc.creator | Wells, Wade G.(Wade Glen),1939- | en_US |
| dc.date.accessioned | 2011-11-28T14:00:49Z | |
| dc.date.available | 2011-11-28T14:00:49Z | |
| dc.date.issued | 1976 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/191632 | |
| dc.description.abstract | The digital computer model presented here is designed to predict sediment yields from individual storms occurring on small watersheds. It is also designed to use minimal amounts of actual storm data. In the model, rainfall, runoff and the erosion process are represented by three component models which can also function as separate entities. Rainfall and runoff are treated similarly in that both are simulated by probability density functions of the Erlang distribution which are fitted to their total amounts and maximum rates. The erosion process is partitioned into several of its component processes, and each of these components is then represented by a single mathematical function. When tested, the model showed some deficiencies, particularly in its representation of the actual regimen of rainfall and runoff. Despite these deficiencies, however, it accurately predicted the observed sediment yields from 17 of the 29 storms on which it was tested. It appears that correction of these deficiencies will result in an improved success rate, | |
| dc.language.iso | en | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
| dc.subject | Hydrology. | |
| dc.subject | Sedimentation and deposition -- Data processing. | |
| dc.subject | Soil erosion -- Data processing. | |
| dc.title | A sedimentation model for small watersheds | en_US |
| dc.type | Thesis-Reproduction (electronic) | en_US |
| dc.type | text | en_US |
| dc.contributor.chair | Thames, John L. | en_US |
| dc.identifier.oclc | 212761467 | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | masters | en_US |
| thesis.degree.discipline | Renewable Natural Resources | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.name | M.S. | en_US |
| dc.description.note | hydrology collection | en_US |
| refterms.dateFOA | 2018-08-24T11:58:53Z | |
| html.description.abstract | The digital computer model presented here is designed to predict sediment yields from individual storms occurring on small watersheds. It is also designed to use minimal amounts of actual storm data. In the model, rainfall, runoff and the erosion process are represented by three component models which can also function as separate entities. Rainfall and runoff are treated similarly in that both are simulated by probability density functions of the Erlang distribution which are fitted to their total amounts and maximum rates. The erosion process is partitioned into several of its component processes, and each of these components is then represented by a single mathematical function. When tested, the model showed some deficiencies, particularly in its representation of the actual regimen of rainfall and runoff. Despite these deficiencies, however, it accurately predicted the observed sediment yields from 17 of the 29 storms on which it was tested. It appears that correction of these deficiencies will result in an improved success rate, |
Files in this item
Name:
azu_td_hy_e9791_1976_187_sip1_w.pdf
Size:
3.176Mb
Format:
PDF
Description:
azu_td_hy_e9791_1976_187_sip1_w.pdf