Agenda / Speakers:
- Introduction by the Hydrogeological Group
- Presentation by Mona Cowman (Hydrogeologist, Mott Macdonald)
- Questions
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Speaker: Mona Cowman
Mona is a hydrogeologist at Mott Macdonald and is a chartered water and environmental manager (C.WEM). Prior to her recent move to the water industry, she was a geophysicist within the oil sector. She spent 20 years with Schlumberger, of which 12 years were spent as a senior geophysicist on international assignments. Mona’s unique background and diverse skillset provide a unique perspective on data analysis. She applies a background in signal processing techniques to practical applications in hydrogeology.
Abstract
Groundwater, rainfall and river stage data is typically analysed using Excel functionality, with data plotted as time-series, and simple relationships observed. Analysis of hydrograph data in the time domain is useful but limited. It can be difficult to observe and quantify long-term trends which may be hidden behind short-term variations. Transformation of time-series data into the frequency domain allows exploration of hidden long-term cycles. Simple frequency domain filtering tools gives a more holistic data view, and allows isolation and exploration of both short-term and long term patterns. Nationwide rainfall and groundwater data across multiple sites is analysed to show long-term cycles and it is shown that specific long term trends are common to UK hydrograph data. A better understanding of long term rainfall patterns and aquifer responses should be considered a vital component in water management planning.