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Dr. Basem Aljoumani

Lupe

Wissenschaftlicher Mitarbeiter

Tel.: +49 (0)30 / 314 - 27 85 1

E-Mail:

Raum: EB 234

 

Forschungsschwerpunkte:

  • Bewässerungs- und Salzgehaltmanagement
  • Modellierung des Transports von Wasser, Wärme und gelösten Stoffen in Böden mithilfe statistischer Modelle

CV
Since 2020
Post-doctoral Research Assistant, Urban Water Interfaces (UWI) project funded by the German Research Foundation (DFG)
Technische Universität Berlin, Germany, Institute of Landscape Architecture and Environmental Planning, Department of Geoinformation Processing for Landscape and Environmental Planning.
2018-2020
Post-doctoral Research Assistant, Urban Water Interfaces (UWI) project funded by the German Research Foundation (DFG)
Technische Universität Berlin, Germany, Institute of Ecology, Department of Ecohydrology & Landscape Evaluation.
2017-2018
Researcher.
Technische Universität Berlin, Germany, Institute of Ecology, Department of Soil Conservation.
2014–2017
Post-doctoral Research Assistant, funded by Alexander von Humboldt Stiftung.
Technische Universität Berlin Institute of Applied Geosciences, Department of Hydrogeology.
2008–2013
PhD, soil and water management.
Universitat politécnica de Cataluyna‐ BarcelonaTech, Spain, Department of Ago‐Food Engineering and Biotechnology.
2005–2007
Master of Advanced Studies (Diploma de Estudios Avanzados DEA).
University of polytechnic of Valencia, Spain, Department of Environmental and Agricultural Economic.
2003–2004
Diploma of Agro-Food Marketing. Internal Centre for Advanced Mediterranean Agronomic Studies- CIHEAM, Zaragoza, Spain.
2001–2002
 Researcher in GCP/SYR/006/ITA Project. Funded by FAO in Syria.
1998
Investigator in the General Commission for Scientific Agricultural Research (Natural Resources Directorate), Syria.
1997
Bachelor's degree in Soil Science, University of Damascus, Syria.

Publikationen:

Gasmi, I., Aljoumani, B., Mechergui, M., Eslamian, S., & Moussa, M. (2020). Potentiality of irrigation technologies to control soil salinity and greenhouses pepper yield production improvement in sandy soil of Southern Tunisia. International Journal of Hydrology Science and Technology, 10(3), 287-301.

Aljoumani, B., Kluge, B., Sanchez, J., & Wessolek, G. (2019). Evaluating the Variation of Dissolved Metals on a Highway Roadside Using a Generalized Additive Mixed Model (GAMM). Water, Air, & Soil Pollution, 230(4), 93.

Gasmi, I., Aljoumani, B., Sànchez-Espigares, J. A., Mechergui, M., & Moussa, M. (2019). A linear mixed effect (LME) model for soil nutrients and soil salinity changes based on two localized irrigation techniques (drip irrigation and buried diffuser). Arabian Journal of Geosciences, 12(11), 356.

Aljoumani, B., Sanchez-Espigares, J.A., Wessolek, G. (2018). Estimating Pore Water Electrical Conductivity of Sandy Soil from Time Domain Reflectometry Records Using a Time-Varying Dynamic Linear Model. Sensors, 18, 4403.

Aljoumani, B., Sànchez‐Espigares, J. A., Cañameras, N., Wessolek, G., & Josa, R. (2018). Transfer function and time series outlier analysis: modelling Soil salinity in loamy sand soil by including the influences of irrigation management and soil temperature. Irrigation and drainage, 67(2), 282-294.

Aljoumani, B., Sànchez-Espigares, J. A., Cañameras, N., & Josa, R. (2015). An advanced process for evaluating a linear dielectric constant–bulk electrical conductivity model using a capacitance sensor in field conditions. Hydrological Sciences Journal, 60(10), 1828-1839.

Aljoumani, B., Sànchez-Espigares, J. A., Canameras, N., Josa, R., & Monserrat, J. (2012). Time series outlier and intervention analysis: Irrigation management influences on soil water content in silty loam soil. Agricultural water management, 111, 105-114.

Weitere Publikationen:

Aljoumani, B., Sanchez-Espigares, J.A. (2019, April). Modelling event frequency and intensity of rainfall extremes: Applying a vector generalized additive model to estimate its atmospheric drivers. In EGU General Assembly Conference Abstracts.

Sanchez-Espigares, J.A., Aljoumani, B. (2019, April). Machine learning for predicting soil salinity using Time Domain Reflectometry data. In EGU General Assembly Conference Abstracts.

Aljoumani, B.,Sanchez-Espigares, J.A., Trinks, S., Peters, A. (2019, May). A comparison of classic and machine-learning approaches to determine soil salinity and soil water content using time domain reflectometry. 7th International Symposium on Sensor Science (I3S 2019). Napoli, Italy.

Aljoumani, B., Kluge, B., Sanchez, J. & Wessolek, G. (2017): Time series models for prediction the total and dissolved heavy metals concentration in road runoff and soil solution of roadside embankments. 19th EGU General Assembly, EGU2017, proceedings from the conference held 23-28 April, 2017 in Vienna, Austria., p.9143

Aljoumani, B., Markert, A., Sanchez, J. & Wessolek, G. (2017): Novel approach for evaluating the linearity of the temperature increase (ΔT) against the logarithm of time to determine soil thermal conductivity data in the full moisture range. 19th EGU General Assembly, EGU2017, proceedings from the conference held 23-28 April, 2017 in Vienna, Austria., p.9537

Qing Zhang, Q., Aljoumani, B., Hilebrand, G., Hoggmann, T. & Hinkelmann, R. (2017): 19th EGU General Assembly, EGU2017, proceedings from the conference held 23-28 April, 2017 in Vienna, Austria., p.18078

Ghader, F., Aljoumani, B., & Tröger, U. (2017, April). Spatial analysis of groundwater electrical conductivity using ordinary kriging and artificial intelligence methods (Case study: Maharlu-Bakhtegan and Tashk salt lakes basin, Iran). In EGU General Assembly Conference Abstracts (Vol. 19, p. 9616).

Aljoumani, B., Peters, A., Trinks, S., & Wessolek, G. (2015, April). Stochastic and deterministic models of soil salinity in the root zone. In EGU General Assembly Conference Abstracts (Vol. 17).

Aljoumani. B. (2013). Soil and Water Management in the Parc Agrari del Baix Llobregat Area: Evaluation of Infiltration in Furrow Irrigation Systems, Assessing Water and Salt Content Spatially and Temporally (Dissertation). Scholars' Press, 208 pages, ISBN 978-3-639-51821-4.

Aljoumani, B., Cañameras, N. & Josa, R. (2010): Assessing the relationship between the soil dielectric constant and electrical conductivity using soil moisture sensors in the field conditions. Proceedings of the Global Forum on Salinization and Climate Change. ttp://www.fao.org/fileadmin/templates/agphome/scpi/cfscc2010/

Josa, R., Cañameras, N., Aljoumani , B. (2009). Relació entre la conductivitatelèctrica de l’extracte de 1 :5 (assaigprevi de salinitat) i l’extracte de pasta saturada en  algunsdelssòls del ParcAgrari del Baix Llobregat (n = 14).

AlJoumani, B., Al-Shareef, M., Sadiddin, A., Shakouhi, L., & SDhweikh, R. (2004). An assessment of possible alternative price policies for cotton in Syria. Damascus (Syria): National Agricultural Policy Centre.

 

 

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