| contributor author | Ken Eng | |
| contributor author | P. C. Milly | |
| contributor author | Gary D. Tasker | |
| date accessioned | 2017-05-08T21:24:09Z | |
| date available | 2017-05-08T21:24:09Z | |
| date copyright | November 2007 | |
| date issued | 2007 | |
| identifier other | %28asce%291084-0699%282007%2912%3A6%28585%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/50076 | |
| description abstract | To facilitate estimation of streamflow characteristics at an ungauged site, hydrologists often define a region of influence containing gauged sites hydrologically similar to the estimation site. This region can be defined either in geographic space or in the space of the variables that are used to predict streamflow (predictor variables). These approaches are complementary, and a combination of the two may be superior to either. Here we propose a hybrid region-of-influence (HRoI) regression method that combines the two approaches. The new method was applied with streamflow records from 1,091 gauges in the southeastern United States to estimate the | |
| publisher | American Society of Civil Engineers | |
| title | Flood Regionalization: A Hybrid Geographic and Predictor-Variable Region-of-Influence Regression Method | |
| type | Journal Paper | |
| journal volume | 12 | |
| journal issue | 6 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)1084-0699(2007)12:6(585) | |
| tree | Journal of Hydrologic Engineering:;2007:;Volume ( 012 ):;issue: 006 | |
| contenttype | Fulltext | |
