کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8883457 1625601 2017 34 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Soil moisture prediction with the ensemble Kalman filter: Handling uncertainty of soil hydraulic parameters
ترجمه فارسی عنوان
پیش بینی رطوبت خاک با استفاده از فیلتر کلمن گروه: عدم اطمینان از پارامترهای هیدرولیکی خاک
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی
For predicting flow in the unsaturated zone, an adequate choice of the model parameters, especially the soil hydraulic parameters, is essential. It is difficult to determine these parameters, as the parameter estimation problem easily becomes ill-posed, e.g. due to pseudo-correlations among two or more of the unknown parameters. In the field, this problem is strongly related to the available observations which, in monitoring networks, are not optimized to be used for parameter estimation. In this paper, we investigate the potential of data assimilation using the ensemble Kalman filter (EnKF) with unsaturated zone models under conditions where model parameters are highly uncertain and not identifiable. Different ways of dealing with the parameter uncertainty, such as parameter updates and bias correction, are discussed and compared. It is shown that jointly updating all uncertain parameters and states is the best method to account for the error induced by parameter uncertainty.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Water Resources - Volume 110, December 2017, Pages 360-370
نویسندگان
, , ,