{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agwat.2020.106546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:52Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "2. Zero hunger", "0106 biological sciences", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2020.106546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2020.106546", "name": "item", "description": "10.1016/j.agwat.2020.106546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2020.106546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.17660/actahortic.2022.1335.46", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:39Z", "type": "Journal Article", "created": "2022-04-06", "title": "Mapping deep percolation using remote sensing over an irrigated area in the Haouz plain (Marrakech, Morocco)", "description": "This study aims to estimate the spatial deep percolation (DP) by combining remote sensing data and SAMIR (SAtellite Monitoring of IRrigation) tool. In this study, DP was derived as the residual component of water balance in the root zone. The Indirect computation of water balance requires climate data (reference evapotranspiration (ET0) and rainfall), land cover, crop coefficient derived from normalized difference vegetation index (NDVI), and hydrodynamic soil parameters like soil moisture at field capacity and the wilting point. The main water balance component is evapotranspiration. It is spatialized based on the FAO-56 approach and the relationship between crop coefficient and NDVI. This approach was tested over an irrigated area in the Haouz plain during the agricultural period (2011-2012). The results showed that DP followed water supply fluctuations (sum of rainfall and irrigation provided by the manager, ORMVAH). High DP values are observed during heavy rainfall in March (around 36, 27, and 20 mm) for sugar beet, wheat, and olive trees, respectively. However, from April to June, the vegetation cover was exposed to high water stress for the rest of the season mainly due to the mismatch of water supply.", "keywords": ["remote sensing", "SAMIR", "water balance", "550", "0208 environmental biotechnology", "0207 environmental engineering", "FAO-56 model", "02 engineering and technology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "deep percolation", "environment", "630", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment"]}, "links": [{"href": "https://doi.org/10.17660/actahortic.2022.1335.46"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Horticulturae", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17660/actahortic.2022.1335.46", "name": "item", "description": "10.17660/actahortic.2022.1335.46", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17660/actahortic.2022.1335.46"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "3091208561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:33Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "0106 biological sciences", "2. 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