dc.contributor.author | Krishnaswamy, Jagdish | en_US |
dc.contributor.author | Lavine, Michael | en_US |
dc.contributor.author | Richter, Daniel | en_US |
dc.contributor.author | Korfmacher, Karl | en_US |
dc.date.accessioned | 2006-08-18T21:22:19Z | en_US |
dc.date.available | 2006-08-18T21:22:19Z | en_US |
dc.date.issued | 2000-07 | en_US |
dc.identifier.citation | Advances in Water Resources 23N8 (2000) 881-892 | en_US |
dc.identifier.issn | 0309-1708 | en_US |
dc.identifier.uri | http://hdl.handle.net/1850/2357 | en_US |
dc.description.abstract | Modeling of sediment transport in relation to changing land-surface conditions against a background of considerable natural variability is a challenging area in hydrology. Bayesian dynamic linear models (DLMs) however, offer opportunities to account for non-stationarity in relationships between hydrologic input and basin response variables. Hydrologic data are from a 40 years long record (1951–1990) from the 5905 km2 Yadkin River basin in North Carolina, USA. DLM regressions were estimated between log-transformed volume-weighted sediment concentration as a response and log-transformed rainfall erosivity and river flow, respectively, as input variables. A similar regression between log-transformed river flow and log-transformed basin averaged rainfall was also analyzed. The dynamic regression coefficient which reflects the erodibility of the basin decreased significantly between 1951 and 1970, followed by a slowly rising trend. These trends are consistent with observed land-use shifts in the basin. Bayesian DLMs represent a substantial improvement over traditional monotonic trend analysis. Extensions to incorporate multiple regression and seasonality are recommended for future applications in hydrology. | en_US |
dc.description.sponsorship | The Ashoka Trust for Research in Ecology and the Environment supported and facilitated this study. | en_US |
dc.format.extent | 37365 bytes | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier: Advances in Water Resources | en_US |
dc.title | Dynamic modeling of long-term sedimentation in the Yadkin River basin | en_US |
dc.type | Article | en_US |
dc.subject.keyword | Dynamic linear models | en_US |
dc.subject.keyword | Hydrology | en_US |
dc.subject.keyword | Sedimentation | en_US |
dc.identifier.url | http://dx.doi.org/10.1016/S0309-1708(00)00013-0 | |