کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6962530 1452270 2016 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling heat, water and carbon fluxes in mown grassland under multi-objective and multi-criteria constraints
ترجمه فارسی عنوان
مدل سازی گرما، آب و کربن جوش در چمن زارهای تحت محدودیت های چند هدفه و چند معیاره
کلمات کلیدی
مدل سازی گرما، آب، شار کربن، محدودیت چند هدفه و چند معیاره، عملکرد مدل، عدم قطعیت پارامتر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزار
چکیده انگلیسی
A Monte Carlo-based calibration and uncertainty assessment was performed for heat, water and carbon (C) fluxes, simulated by a soil-plant-atmosphere system model (CoupModel), in mown grassland. Impact of different multi-objective and multi-criteria constraints was investigated on model performance and parameter behaviour. Good agreements between hourly modelled and measurement data were obtained for latent and sensible heat fluxes (R2 = 0.61, ME = 0.48 MJ m−2 day−1), soil water contents (R2 = 0.68, ME = 0.34%) and carbon-dioxide flux (R2 = 0.60, ME = −0.18 g C m−2 day−1). Multi-objective and multi-criteria constraints were efficient in parameter conditioning, reducing simulation uncertainty and identifying critical parameters. Enforcing multi-constraints separately on heat, water and C processes resulted in the highest model improvement for that specific process, including some improvement too for other processes. Imposing multi-constraints on all groups of variables, associated with heat, water and C fluxes together, resulted in general effective parameters conditioning and model improvement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 80, June 2016, Pages 201-224
نویسندگان
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