Arid
DOI10.1016/j.apm.2020.06.044
Self-organizing map of soil properties in the context of hydrological modeling
Rivas-Tabares, David; Miguel, Angel de; Willaarts, Barbara; Tarquis, Ana M.
通讯作者Rivas-Tabares, D
来源期刊APPLIED MATHEMATICAL MODELLING
ISSN0307-904X
EISSN1872-8480
出版年2020
卷号88页码:175-189
英文摘要One of the most relevant inputs for hydrological modeling is the soil map. The soil sources and scales for the soil properties are diverse, and the quality of soil mapping is increasing, but soil surveying is time-consuming and large area campaigns are expensive. The taxonomic unit approach for soil mapping is common and limited to one layer of data. This limitation causes errors in simulated water fluxes through the soil when taxonomic units approach is implemented during hydrological modeling analysis. Some strategies using geostatistics and machine learning algorithms such as Kriging and Self-Organizing maps (SOM) are improving the taxonomic units' approach and could serve as an alternative for soil mapping for hydrological purposes. The aim of this work is to study the influence of different soil maps and resolutions on the main hydrological components of a sub-arid watershed in central Spain. For this, the Soil Water and Assessment Tool (SWAT) was parameterized with three different soil maps. A first one was based on Harmonized World Soil database from FAO, at scale 1:1,0 0 0,0 0 0 (HWSD). The other two were based on a Kriging interpolation at 100 x 100 m from soil samples. To obtain soil properties map from it, two strategies were applied: one was to average the soil properties following the official taxonomic soil units at 1:40 0,0 0 0 scale (Agricultural Technological Institute of Castilla and Leon ITACyL) and the other was to applied Self-organizing map (SOM) to create the soil units (SOMM). The results suggest that scale and soil properties mapping influence HRU definition, which in turn affects water flow through the soils. Statistical metrics of model performance were improved from R-2 = 0.62 and NSE = 0.46 with HWSD soil map to R-2 = 0.86 and NSE = 0.84 with SOM and similar values were achieved during validation. Thus, the SOM is presented as an innovative algorithm applied for hydrological modeling with SWAT, significantly increasing the level of model accuracy to stream flow in sub-arid watersheds. (C) 2020 Elsevier Inc. All rights reserved.
英文关键词Soil properties Self-organizing Maps Hydrological modeling SWAT Soils spatial patterns SOM
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000568745900011
WOS关键词ROOTING DEPTH ; WATER-BALANCE ; SWAT MODEL ; PARAMETERS ; CATCHMENT ; GEOSTATISTICS ; VARIABILITY ; SENSITIVITY ; QUALITY ; NUMBER
WOS类目Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics
WOS研究方向Engineering ; Mathematics ; Mechanics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/326225
作者单位[Rivas-Tabares, David; Tarquis, Ana M.] Univ Politecn Madrid UPM, CEIGRAM, C Senda Rey 13 Campus Practicas ETS Ingn Agron Al, Madrid 28040, Spain; [Miguel, Angel de] Wageningen Environm Res WERN, Wageningen, Netherlands; [Willaarts, Barbara] Int Inst Appl Syst Anal IIASA, Vienna, Austria; [Tarquis, Ana M.] Univ Politecn Madrid UPM, Grp Sistemas Complejos, Madrid, Spain
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Rivas-Tabares, David,Miguel, Angel de,Willaarts, Barbara,et al. Self-organizing map of soil properties in the context of hydrological modeling[J],2020,88:175-189.
APA Rivas-Tabares, David,Miguel, Angel de,Willaarts, Barbara,&Tarquis, Ana M..(2020).Self-organizing map of soil properties in the context of hydrological modeling.APPLIED MATHEMATICAL MODELLING,88,175-189.
MLA Rivas-Tabares, David,et al."Self-organizing map of soil properties in the context of hydrological modeling".APPLIED MATHEMATICAL MODELLING 88(2020):175-189.
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