| contributor author | Shesh R. Koirala | |
| contributor author | Randall W. Gentry | |
| contributor author | Edmund Perfect | |
| contributor author | Patrick J. Mulholland | |
| contributor author | John S. Schwartz | |
| date accessioned | 2017-05-08T21:48:56Z | |
| date available | 2017-05-08T21:48:56Z | |
| date copyright | September 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000378.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63232 | |
| description abstract | A continued important area of research in hydrologic modeling is the issue of spatial and temporal scaling of biogeochemical properties and processes. Hurst analysis, which is a fractal-based scale invariant approach for analyzing long-term time series data, can provide insight into this issue as a quantitative approach for evaluating temporal scale in time series. The objectives of this paper were to compute the Hurst coefficient ( | |
| publisher | American Society of Civil Engineers | |
| title | Hurst Analysis of Hydrologic and Water Quality Time Series | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 9 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000357 | |
| tree | Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 009 | |
| contenttype | Fulltext | |
