Statistical modelling of Fat, Oil and Grease (FOG) deposits in wastewater pump sumps

Eva Nieuwenhuis*, Johan Post, Alex Duinmeijer, Jeroen Langeveld, François Clemens

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)
82 Downloads (Pure)


The accumulation of FOG (Fat, Oil and Grease) deposits in sewer pumping stations results in an increase in maintenance costs, malfunctioning of pumps and, a potential increase of wastewater spills in receiving open water bodies. It is thought that a variety of parameters (e.g. geometry of the pump sump, pump operation, socioeconomic parameters of the catchment) influences the built-up of FOG. Based on a database containing data of 126 pumping stations located in five Dutch municipalities a statistical model was built. It is shown that 3 parameters are most significant in explaining the occurrence of FOG deposits: mean income of the population in a catchment, the amount of energy (kinetic and potential) per m3 per day and the density of restaurants, bars and hotels in a catchment. Further it is shown that there are significant differences between municipalities that can be traced back to the local ‘design paradigm’. For example, in Amsterdam, the design philosophy of discharging in the pump sump under the water surface (and hence maintaining a low level of turbulence in the pump sump) results in an increase of the probability of the formation of FOG.

Original languageEnglish
Pages (from-to)155-167
Number of pages13
JournalWater Research
Publication statusPublished - 15 May 2018


  • Fat Oil and Grease (FOG) deposits
  • Generalized linear mixed modelling
  • Pumping station
  • Sewer system


Dive into the research topics of 'Statistical modelling of Fat, Oil and Grease (FOG) deposits in wastewater pump sumps'. Together they form a unique fingerprint.

Cite this