کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6410742 1332885 2015 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A fractional factorial probabilistic collocation method for uncertainty propagation of hydrologic model parameters in a reduced dimensional space
ترجمه فارسی عنوان
یک روش جابجایی احتمالی فاکتوریل برای انتشار عدم اطمینان پارامترهای مدل هیدرولوژیکی در یک فضای کوچک
کلمات کلیدی
تقسیم احتمالی، پارامترهای مدل هیدرولوژیکی، اثر متقابل، عدم قطعیت انتشار، گسترش هرج و مرج چندجملهای، طراحی فاکتوریل چند مرحله ای
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی


- A fractional factorial probabilistic collocation method is proposed.
- Linear, curvature, and interaction effects of hydrologic parameters are revealed.
- Complex and dynamic parameter interactions are explored.
- Reduced polynomial chaos expansions (PCEs) with significant terms are obtained.
- Reduced PCEs are efficient functional representations for uncertainty propagation.

SummaryIn this study, a fractional factorial probabilistic collocation method is proposed to reveal statistical significance of hydrologic model parameters and their multi-level interactions affecting model outputs, facilitating uncertainty propagation in a reduced dimensional space. The proposed methodology is applied to the Xiangxi River watershed in China to demonstrate its validity and applicability, as well as its capability of revealing complex and dynamic parameter interactions. A set of reduced polynomial chaos expansions (PCEs) only with statistically significant terms can be obtained based on the results of factorial analysis of variance (ANOVA), achieving a reduction of uncertainty in hydrologic predictions. The predictive performance of reduced PCEs is verified by comparing against standard PCEs and the Monte Carlo with Latin hypercube sampling (MC-LHS) method in terms of reliability, sharpness, and Nash-Sutcliffe efficiency (NSE). Results reveal that the reduced PCEs are able to capture hydrologic behaviors of the Xiangxi River watershed, and they are efficient functional representations for propagating uncertainties in hydrologic predictions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 529, Part 3, October 2015, Pages 1129-1146
نویسندگان
, , , , ,