Academic Journal

A constraint-based search algorithm for parameter identification of environmental models

التفاصيل البيبلوغرافية
العنوان: A constraint-based search algorithm for parameter identification of environmental models
المؤلفون: Gharari, S., Shafiei, M., Hrachowitz, M., Kumar, R., Fenicia, F., Gupta, H. V., Savenije, H. H. G.
المصدر: eISSN: 1607-7938
سنة النشر: 2018
المجموعة: Copernicus Publications: E-Journals
الوصف: Many environmental systems models, such as conceptual rainfall-runoff models, rely on model calibration for parameter identification. For this, an observed output time series (such as runoff) is needed, but frequently not available (e.g., when making predictions in ungauged basins). In this study, we provide an alternative approach for parameter identification using constraints based on two types of restrictions derived from prior (or expert) knowledge. The first, called parameter constraints , restricts the solution space based on realistic relationships that must hold between the different model parameters while the second, called process constraints requires that additional realism relationships between the fluxes and state variables must be satisfied. Specifically, we propose a search algorithm for finding parameter sets that simultaneously satisfy such constraints, based on stepwise sampling of the parameter space. Such parameter sets have the desirable property of being consistent with the modeler's intuition of how the catchment functions, and can (if necessary) serve as prior information for further investigations by reducing the prior uncertainties associated with both calibration and prediction.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: https://hess.copernicus.org/articles/18/4861/2014/
DOI: 10.5194/hess-18-4861-2014
الاتاحة: https://doi.org/10.5194/hess-18-4861-2014
https://hess.copernicus.org/articles/18/4861/2014/
رقم الانضمام: edsbas.F12A0AE
قاعدة البيانات: BASE
الوصف
DOI:10.5194/hess-18-4861-2014