Self-organizing map of soil properties in the context of hydrological modeling

Rivas Tabares, David Andrés and Miguel García, Ángel de and Willaarts, Barbara and Tarquis Alfonso, Ana Maria (2020). Self-organizing map of soil properties in the context of hydrological modeling. "Applied Mathematical Modelling", v. 88 ; pp. 175-189. ISSN 0307-904X. https://doi.org/10.1016/j.apm.2020.06.044.

Description

Title: Self-organizing map of soil properties in the context of hydrological modeling
Author/s:
  • Rivas Tabares, David Andrés
  • Miguel García, Ángel de
  • Willaarts, Barbara
  • Tarquis Alfonso, Ana Maria
Item Type: Article
Título de Revista/Publicación: Applied Mathematical Modelling
Date: December 2020
ISSN: 0307-904X
Volume: 88
Subjects:
Freetext Keywords: Soil properties; Self-organizing Maps; Hydrological modeling; SWAT; Soils spatial patterns; SOM
Faculty: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales (CEIGRAM) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 1:1,000,000 (HWSD). The other two were based on a Kriging interpolation at 100 × 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 1:400,000 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 R2 =0.62 and NSE=0.46 with HWSD soil map to R2 =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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPCIN-2014-080TALEUnspecifiedTowards multifunctional agricultural landscapes in Europe: Assessing and governing synergies between food production, biodiversity, and ecosystem services
Government of SpainPCIN-2014-085UnspecifiedUnspecifiedTowards multifunctional agricultural landscapes in Europe: Assessing and governing synergies between food production, biodiversity and ecosystem services

More information

Item ID: 64165
DC Identifier: http://oa.upm.es/64165/
OAI Identifier: oai:oa.upm.es:64165
DOI: 10.1016/j.apm.2020.06.044
Official URL: https://www.sciencedirect.com/science/article/pii/S0307904X2030319X?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 17 Dec 2020 11:12
Last Modified: 17 Dec 2020 11:12
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