Modelling Hydrological Processes in Agricultural Areas with Complex Topography

Agricultural intensification and soil mismanagement have been recognized among the main causes of soil erosion in Mediterranean climate areas such as the Arbia stream basin (Tuscany, Italy). This study aims at predicting soil loss from agricultural fields as it is essential for providing reliable in...

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Main Authors: Luciano Massetti, Chiara Grassi, Simone Orlandini, Marco Napoli
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/5/750
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spelling doaj-c0bbc7f5088c40bab6e9eb5057a5c5632021-04-02T11:39:04ZengMDPI AGAgronomy2073-43952020-05-011075075010.3390/agronomy10050750Modelling Hydrological Processes in Agricultural Areas with Complex TopographyLuciano Massetti0Chiara Grassi1Simone Orlandini2Marco Napoli3Institute of BioEconomy-CNR, Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, ItalyDepartment of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, ItalyDepartment of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, ItalyDepartment of Agriculture, Food, Environment and Forestry (DAGRI)—University of Florence, Piazzale delle Cascine, 18-50144 Florence, ItalyAgricultural intensification and soil mismanagement have been recognized among the main causes of soil erosion in Mediterranean climate areas such as the Arbia stream basin (Tuscany, Italy). This study aims at predicting soil loss from agricultural fields as it is essential for providing reliable information for prioritizing soil conservation measures. Thus, measured soil loss from 243 agricultural fields within the Arbia stream basin during the period 2007–2010 were used to calibrate and validate the ArcSWAT 2012 model at hydrological response units (HRU) scale. Analysis of variance with post-hoc Tukey honest significant test was used to assess significant measured soil loss differences between slope steepness classes and land covers. Soil loss estimation was always “very good” for irrigated field crops, olive groves, and vineyards, “good” for unirrigated field crops, and “unsatisfactory” for broad-leaved forest. The model succeeded in the quantitative assessment of erosive processes at HRU scales. Its application to the whole Arbia stream basin estimated that 31% of the total surface is subjected to higher erosion levels. This approach might help facilitate the identification of priority areas that need the implementation of conservation measures.https://www.mdpi.com/2073-4395/10/5/750soil lossland useslope steepnessArcSWAT2012hydrologic modellingfield-scale validation
collection DOAJ
language English
format Article
sources DOAJ
author Luciano Massetti
Chiara Grassi
Simone Orlandini
Marco Napoli
spellingShingle Luciano Massetti
Chiara Grassi
Simone Orlandini
Marco Napoli
Modelling Hydrological Processes in Agricultural Areas with Complex Topography
Agronomy
soil loss
land use
slope steepness
ArcSWAT2012
hydrologic modelling
field-scale validation
author_facet Luciano Massetti
Chiara Grassi
Simone Orlandini
Marco Napoli
author_sort Luciano Massetti
title Modelling Hydrological Processes in Agricultural Areas with Complex Topography
title_short Modelling Hydrological Processes in Agricultural Areas with Complex Topography
title_full Modelling Hydrological Processes in Agricultural Areas with Complex Topography
title_fullStr Modelling Hydrological Processes in Agricultural Areas with Complex Topography
title_full_unstemmed Modelling Hydrological Processes in Agricultural Areas with Complex Topography
title_sort modelling hydrological processes in agricultural areas with complex topography
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2020-05-01
description Agricultural intensification and soil mismanagement have been recognized among the main causes of soil erosion in Mediterranean climate areas such as the Arbia stream basin (Tuscany, Italy). This study aims at predicting soil loss from agricultural fields as it is essential for providing reliable information for prioritizing soil conservation measures. Thus, measured soil loss from 243 agricultural fields within the Arbia stream basin during the period 2007–2010 were used to calibrate and validate the ArcSWAT 2012 model at hydrological response units (HRU) scale. Analysis of variance with post-hoc Tukey honest significant test was used to assess significant measured soil loss differences between slope steepness classes and land covers. Soil loss estimation was always “very good” for irrigated field crops, olive groves, and vineyards, “good” for unirrigated field crops, and “unsatisfactory” for broad-leaved forest. The model succeeded in the quantitative assessment of erosive processes at HRU scales. Its application to the whole Arbia stream basin estimated that 31% of the total surface is subjected to higher erosion levels. This approach might help facilitate the identification of priority areas that need the implementation of conservation measures.
topic soil loss
land use
slope steepness
ArcSWAT2012
hydrologic modelling
field-scale validation
url https://www.mdpi.com/2073-4395/10/5/750
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AT marconapoli modellinghydrologicalprocessesinagriculturalareaswithcomplextopography
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