| dc.contributor.author | Kumar, Anupam | |
| dc.date.accessioned | 2014-09-26T15:30:42Z | |
| dc.date.available | 2014-09-26T15:30:42Z | |
| dc.date.issued | 2000-05-01 | |
| dc.identifier.uri | https://hdl.handle.net/11244/11523 | |
| dc.description.abstract | This study was conducted to ascertain the possibility of applying n ural networks to environmental engineering problems. Eutrophication of Lake TenkilLer (Oklahoma) due to inflow of phosphorus from various point and non-point sources was selected for this case study. The phosphorus sources are distributed across Oklahoma and Arkansas and are transported to the Lake by the Illinois River. This study attempts to determine the contribution of point and non-point sources to the eutrophication of the Lake and reductions in nutrient inflow required for remediation of the Lake. Further, results obtained are compared with results from similar studies carried out using different methodologies. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Neural Network Solution for Assesment of Eutrophication in Lake Tenkiller | |
| dc.type | text | |
| osu.filename | Thesis-2000-K965n.pdf | |
| osu.accesstype | Open Access | |
| dc.type.genre | Thesis | |
