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Ronny Berndtsson

Professor, Dep Director, MECW Dep Scientific Coordinator

Profile photo of Ronny Berndtsson

PODMT3DMS-Tool : proper orthogonal decomposition linked to the MT3DMS model for nitrate simulation in aquifers


  • Roohollah Noori
  • Farhad Hooshyaripor
  • Saman Javadi
  • Mehrnaz Dodangeh
  • Fuqiang Tian
  • Jan Franklin Adamowski
  • Ronny Berndtsson
  • Akbar Baghvand
  • Björn Klöve

Summary, in English

The PODMT3DMS-Tool, which consists of a proper orthogonal decomposition (POD) linked to the Modular Transport 3-Dimensional Multi Species (MT3DMS) code for nitrate simulation in groundwater, is introduced. POD, as a statistical technique, reduces a large amount of information produced by the MT3DMS model to provide the main components of the PODMT3DMS-Tool, i.e., space- and time-dependent terms of nitrate. The low-dimensional components represent time- and space-dependent factors in the aquifer response such as hydraulic, hydrogeological and water quality variables represented in the simulation using the MT3DMS model. The PODMT3DMS-Tool is thus a combined statistical and conceptual model with a simple structure and comparable accuracy to MT3DMS. Practical application of the PODMT3DMS-Tool to the Karaj Aquifer in Iran during 6 years revealed agreement between nitrate concentrations simulated by the PODMT3DMS-Tool and MT3DMS, with a mean absolute error of less than 0.5 mg/L in most parts of the aquifer. Moreover, the PODMT3DMS-Tool needed only about 10% of the calculation time required by MT3DMS. The PODMT3DMS-Tool can be used in predict nitrate concentration in the Karaj Aquifer, while its simplicity also makes it highly interesting for other water resources problems.


  • Centre for Advanced Middle Eastern Studies (CMES)
  • MECW: The Middle East in the Contemporary World
  • Division of Water Resources Engineering
  • LTH Profile Area: Water

Publishing year





Hydrogeology Journal

Document type

Journal article




  • Water Engineering


  • Iran
  • MT3DMS
  • Nitrate
  • Proper orthogonal decomposition (POD)




  • ISSN: 1431-2174