کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4379090 1617564 2006 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An application of artificial neural networks to carbon, nitrogen and phosphorus concentrations in three boreal streams and impacts of climate change
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
An application of artificial neural networks to carbon, nitrogen and phosphorus concentrations in three boreal streams and impacts of climate change
چکیده انگلیسی
Projected changes in monthly temperature and precipitation under a changing climate were used to generate daily temperature and precipitation series for the 2050s. Daily runoff values for this hypothetical year were produced with an operational runoff model. Carbon and nitrogen loads were calculated for the 2050s using the neural network models of TOC, Ntot and Ptot concentrations. The low change scenario resulted in annual fluxes close to present fluxes, while the high change scenario gave an increase of approximately 26% of annual TOC, Ntot and Ptot fluxes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 195, Issues 1–2, 15 May 2006, Pages 51-60
نویسندگان
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