Ines Oueslati

Agronomic National Institute Of Tunisia, Département Génie rural, eaux et forêts, Faculty Member

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Dr. Ines Oueslati is an Engineer in hydraulics and rural management (2004) from the National Agronomic Institute of Tunisia (INAT), holding a MSc in Land and Water resources: Irrigated Agriculture (2006) from the Mediterranean Agronomic Institute of Bari (CIHEAM-Bari - Italy). She has a PhD (2010) in Water and Land Management Engineering from the Polytechnico di Torino (Italy) concerning the development of Methodologies for the determination of the spatial distribution of soil hydraulic properties. In 2012 she served the Faculty of science of Bizerte (Tunisia) as an assistant professor in Geomatics during three years then in 2015 till now she is an assistant professor in Hydraulic engineering at INAT. She was involved in several research fields through national and international projects. Mainly, irrigation system performance and its relation with groundwater assessment from collective to catchment scale as a member of the team work of CIHEAM-Bari (2007- 2008) within the European project FP6 Aquastress (Mitigation of water stress through new Approches to Integrating Management, Technical, Economic and Institutional Instruments). Moreover, she worked on the evaluation of the current and future water balance of the Merguellil catchment (Kairouan-Tunisia), based on cropland area, groundwater use and water management, using the WEAP (Water Evaluation And Planning System) model (2010-2012) in the frame work of the EP FP7 WasserMed (Water Availability and Security in Southern EurRope and the MEDiterranean). She worked also on water resources Management within AMETHYST-ANR project (2015-2017) (water resources and uses evolution in the Southern Mediterranean) and actually she is the national coordinator of the European Project WaterWorks 2017 intitled IN-WOP (Mind the Water Cycle Gap: Innovating Water Management Optimisation Practice) from 2019 to 2023. Furthermore, she is the coordinator of the training section in the International Laboratory LMI NAILA since 2018 and the coordinator of the Irrigation and Drainage Master in INAT since 2019.

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Comparison of meteorological forcing (WFDEI, AGRI4CAST) to in-situ observations in a semi arid catchment. The case of Merguellil in Tunisia

Flexible delivery schedules to improve farm irrigation and reduce pressure on groundwater: a case study in southern Italy

Irrigation Science, Mar 1, 2009

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Prediction of soil organic carbon in forest areas of the Piedmont region, Northern Italy, using environmental variables: vegetation and topographic patterns effect

Soil organic carbon (SOC) is one of the most important parameters affecting soil hydraulic proper... more Soil organic carbon (SOC) is one of the most important parameters affecting soil hydraulic properties. It is easily measured by chemical analyses, but it is highly variable in space. Therefore the definition of a methodology allowing for SOC spatial prediction with a reasonable accuracy is crucial in large scale studies. This study aims at predicting the spatial variability of the soil organic carbon concentration (%SOC) in forest topsoils in Piedmont (North-western Italy) using spatially referenced environmental factors related to terrain morphology, climate, and vegetation. In this region 122 soil profiles were available with soil organic carbon concentrations at depths of 0 -10 cm, 10 -20 cm, 20 -30 cm, 0 -20 cm and 0 -30 cm and in the horizons A, B and C. For each point terrain attributes were derived from a 50 meters pixel digital elevation model (DEM), using the SAGA geographic information system. In addition basic NDVI statistics, such as the mean, minimum and maximum values,...

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Soil organic matter prediction using environmental factors

Organic matter is one of the most important properties affecting soil chemical and physical ferti... more Organic matter is one of the most important properties affecting soil chemical and physical fertility, but it influences also soil hydrologic parameters. It is easily measured by chemical analyses, but in large scale studies its prediction is desirable. This study aims at predicting the spatial distribution of the soil organic matter concentration (SOM) in forest topsoils in Piedmont (North West Italy) using continuous predictors (in forms of auxiliary maps). As predictors we selected: the digital elevation model (DEM, 50 meter resolution), the mean annual precipitation, the soil dryness index and normal difference vegetation index (NDVI, 1 km resolution). Using the Geographic Information System SAGA, the terrain attributes were computed from the DEM, namely are: elevation, slope, aspect and mean curvature associated with hydrological parameters namely, the compound topographic index (CTI) and stream power index (SPI). From the long term monthly average of NDVI the mean annual value...

Prediction of soil organic carbon in forest areas of the Piedmont region, Northern Italy, using environmental variables: vegetation and topographic patterns effect

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Comparison of meteorological forcing (WFDEI, AGRI4CAST) to in-situ observations in a semi arid catchment. The case of Merguellil in Tunisia

Flexible delivery schedules to improve farm irrigation and reduce pressure on groundwater: a case study in southern Italy

Irrigation Science, Mar 1, 2009

Download

Prediction of soil organic carbon in forest areas of the Piedmont region, Northern Italy, using environmental variables: vegetation and topographic patterns effect

Download

Soil organic matter prediction using environmental factors

Prediction of soil organic carbon in forest areas of the Piedmont region, Northern Italy, using environmental variables: vegetation and topographic patterns effect

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Ines Oueslati

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