phd project

Remote monitoring of hydrocarbons in groundwater through sensor data fusion

Various industries might influence groundwater quality around assets or factories. Currently, groundwater quality is monitored by routinely measuring manually collected samples to support risk-based and remediation decision-making. The limited sampling results in slow response and increased cost for remediation. Additionally, the collection of groundwater samples can trigger significant health and safety concerns, i.e. sampling in high-traffic areas, exposure to contaminated groundwater and travel to and from site, especially in areas with offsite security concerns. Water quality sensors and telemetry systems, in combination with information from reactive transport modelling, may provide a cost-effective alternative to help reduce or eliminate many of these groundwater-monitoring issues. In addition, remote, continuous, real-time data collection provides a means for reducing liabilities through rapid identification of groundwater concentration trends (i.e., new product releases) and improving data interpretation (i.e., key factors that affect groundwater concentration trends).

Research challenge
Sensors for continuous and remote monitoring of total dissolved-phase petroleum hydrocarbons have recently become commercially available, but are not a realistic option for routine groundwater monitoring because of high cost and maintenance. Alternatively, less expensive sensors are routinely used for groundwater monitoring (e.g., pH, dissolved oxygen, temperature, oxidation-reduction potential, chemical oxygen demand, and electrical conductivity) which do not directly measure dissolved-phase hydrocarbons. This project explores how data, collected from these existing, cost-effective sensors, can be used (i.e. data fusion) for hydrocarbon concentration monitoring in groundwater, or to trigger sampling based on bulk water quality changes. In addition, innovative spectral sensors, developed in the Wetsus research theme Sensoring, will be evaluated. Development of new algorithms is required to realize this new type of robust, remote and continuous sensor systems. The applicability of these sensors for hydrocarbon trends in groundwater will be assessed through controlled laboratory, and field experiments. This includes: testing long term stability, optimizing groundwater monitoring networks through spatiotemporal modelling, optimizing groundwater monitoring networks through integration of sensors and water sampling.

We are looking for candidates that: Holds an MSc degree in the field of Hydro(geo)logy, Environmental Chemistry, Chemical Engineering or Electrical Engineering (or similar);

The research project is part of the Wetsus research theme Sensoring. The following companies are part of the theme: Shell Global Solutions, Evoqua, Grundfos and Easymeasure

Promotor: dr. B.M. (Boris) van Breukelen (TU Delft, dep. of Water Management)

Promotor: prof. dr. ir. L.C. (Luuk) Rietveld (TU Delft, dep. of Water Management)

Wetsus supervisor: dr. ir. R.M. (Martijn) Wagterveld

For more information contact or

Wetsus, Leeuwarden, The Netherlands

12.1 Remote monitoring of hydrocarbons in groundwater through sensor data fusion

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