Počet záznamů: 1
A comparison of the use of local legacy soil data and global datasets for hydrological modelling a small-scale watersheds: Implications for nitrate loading estimation
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SYSNO ASEP 0532486 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název A comparison of the use of local legacy soil data and global datasets for hydrological modelling a small-scale watersheds: Implications for nitrate loading estimation Tvůrce(i) Krpec, Petr (UEK-B) ORCID, RID, SAI
Horáček, M. (CZ)
Šarapatka, B. (CZ)Celkový počet autorů 3 Číslo článku 114575 Zdroj.dok. Geoderma. - : Elsevier - ISSN 0016-7061
Roč. 377, NOV (2020)Poč.str. 12 s. Jazyk dok. eng - angličtina Země vyd. NL - Nizozemsko Klíč. slova swat model ; organic-matter ; quality model ; spatial variability ; data resolution ; assessment-tool ; large-area ; uncertainty ; texture ; sensitivity ; Digital soil mapping ; SoilGrids ; Stream flow ; swat Vědní obor RIV DA - Hydrologie a limnologie Obor OECD Hydrology Způsob publikování Omezený přístup Institucionální podpora UEK-B - RVO:86652079 UT WOS 000560363900009 EID SCOPUS 85088137005 DOI 10.1016/j.geoderma.2020.114575 Anotace Appropriate soil property data are important inputs for the development of hydrological models, and as the scale of the study decreases, the relevance of these data increases. Watershed soil surveys require time and money, so readily available data are often used. This study compares the hydrological and nitrate loading prediction performance of the globally available dataset SoilGrids and a dataset prepared from local legacy data by a random forest approach. The study was carried out using the SWAT model for a 33 km(2) watershed in the Czech Republic. Model performance was tested by applying a Latin hypercube-sampled parameter set to both a model using the SoilGrids data as input, and another model based on the local soil dataset. The SoilGrids dataset generally shows finer soil texture and higher organic carbon content than the dataset based on local legacy data. These differences are also reflected in the hydrological process predictions, where the SoilGrids-based model produced less lateral flow than that of the local dataset, with the compensation of higher evapotranspiration. This difference in water balance led to worse nitrate loading estimation by the SoilGrids-based model. The results of this case study suggest that the use of a local dataset is still more appropriate, despite the availability of global data with mid resolution. Pracoviště Ústav výzkumu globální změny Kontakt Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Rok sběru 2021 Elektronická adresa https://www.sciencedirect.com/science/article/pii/S0016706120303116?via%3Dihub
Počet záznamů: 1