| contributor author | Z. Zhang | |
| date accessioned | 2017-05-08T20:45:38Z | |
| date available | 2017-05-08T20:45:38Z | |
| date copyright | January 2007 | |
| date issued | 2007 | |
| identifier other | %28asce%290733-9429%282007%29133%3A1%2898%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/26201 | |
| description abstract | The objective of this paper is to describe an autoregressive regression framework with respect to metered sewer flow and simultaneous rainfall data series. The main purpose is to produce more reliable estimates for rain derived inflow and infiltration (RDII) characteristics in a sanitary sewer basin. The discussion is centered at three specific points: (1) a justification for an autoregressive error structure; (2) a modeling setup to capture the RDII characteristics for rain events of varying duration and intensity; and (3) a statistical quantification of RDII reduction, by a sewer rehabilitation project, via tests based on two independent data series. | |
| publisher | American Society of Civil Engineers | |
| title | Estimating Rain Derived Inflow and Infiltration for Rainfalls of Varying Characteristics | |
| type | Journal Paper | |
| journal volume | 133 | |
| journal issue | 1 | |
| journal title | Journal of Hydraulic Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9429(2007)133:1(98) | |
| tree | Journal of Hydraulic Engineering:;2007:;Volume ( 133 ):;issue: 001 | |
| contenttype | Fulltext | |
