| contributor author | Amin Zargar | |
| contributor author | Rehan Sadiq | |
| contributor author | Gholamreza Naser | |
| contributor author | Faisal I. Khan | |
| contributor author | Natasha N. Neumann | |
| date accessioned | 2017-05-08T21:40:29Z | |
| date available | 2017-05-08T21:40:29Z | |
| date copyright | May 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000157.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59124 | |
| description abstract | Studying uncertainties in hydrological modeling is necessary because of data scarcity or abundance and quality issues. These uncertainties can have significant effects on environmental decision making. Traditionally, probabilistic methods have been used to study uncertainties; however, recently, more comprehensive methods are used in the treatment of uncertainty. These methods are capable of addressing uncertainty in the form of vagueness, ambiguity, and conflict, which cannot be studied efficiently using probabilistic frameworks. The Dempster-Shafer theory of evidence (DST) is one of the popular methods that can provide a unified platform to address data conflict and incompleteness. In this paper, the use of DST to model and propagate the uncertainty arising from two snow water equivalent data sets with a high degree of conflict (DST conflict | |
| publisher | American Society of Civil Engineers | |
| title | Dempster-Shafer Theory for Handling Conflict in Hydrological Data: Case of Snow Water Equivalent | |
| type | Journal Paper | |
| journal volume | 26 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000149 | |
| tree | Journal of Computing in Civil Engineering:;2012:;Volume ( 026 ):;issue: 003 | |
| contenttype | Fulltext | |
