کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4434297 | 1619973 | 2006 | 17 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An application of the GLUE methodology for estimating the parameters of the INCA-N model An application of the GLUE methodology for estimating the parameters of the INCA-N model](/preview/png/4434297.png)
The conceptual and parameter uncertainty of the semi-distributed INCA-N (Integrated Nutrients in Catchments—Nitrogen) model was studied using the GLUE (Generalized Likelihood Uncertainty Estimation) methodology combined with quantitative experimental knowledge, the concept known as ‘soft data’. Cumulative inorganic N leaching, annual plant N uptake and annual mineralization proved to be useful soft data to constrain the parameter space. The INCA-N model was able to simulate the seasonal and inter-annual variations in the stream-water nitrate concentrations, although the lowest concentrations during the growing season were not reproduced. This suggested that there were some retention processes or losses either in peatland/wetland areas or in the river which were not included in the INCA-N model. The results of the study suggested that soft data was a way to reduce parameter equifinality, and that the calibration and testing of distributed hydrological and nutrient leaching models should be based both on runoff and/or nutrient concentration data and the qualitative knowledge of experimentalist.
Journal: Science of The Total Environment - Volume 365, Issues 1–3, 15 July 2006, Pages 123–139