Nicola has a degree in geology from the University of Portsmouth and has previous experience in working in the mining and waste management business sectors.
She is responsible for maintaining ICL’s ISO9001 quality standard and has responsibility for all aspects of Itasca software codes and administrative support for ICL’s own software InSite, as well as the day to day running of the office.
The Fifth International Itasca Symposium will be held at the University of Vienna (Austria). The Symposium will features the application of Itasca software for solving engineering and scientific challenges in geomechanics, hydrogeology, microseismicity, and more.
Mr. Hughes has extensive experience working at ICL on developing enhancements to the InSite application including a new 3D visualizer, tools for velocity model calibration, array analysis, discrete fracture network inversion, source scan location and the real-time triggering of data from miniSEED files and multiple arrays.
He has also revised and enhanced the data acquisition software used with ICL’s laboratory test equipment. His expertise is in the use of the C++ programming language using Visual Studio. In addition to this, he has extensive experience using MFC, OpenGL, HDF5, SQL Server, .NET and TCP/IP socket programming.
In total, he has over 30 years of experience developing software, mainly PC based, but also hosted on embedded and IP telephony platforms. Mr. Hughes holds a B.A. in Physics from Oxford University.
A geochemical model was developed to predict future water quality of the Cove pit lake in support of site closure and regulatory permitting. The terminal, groundwater-fed Cove pit lake began filling in 2001, and water-quality samples from the 15-year filling period were used to calibrate the pit-lake model and evaluate the accuracy of the predictions. Inputs to the pit-lake model included geochemical characterization results and a calibrated groundwater flow model. Modeling included the processes of mineral dissolution and precipitation, gas exchange, and adsorption. The results of the geochemical model assess long-term chemogenetic effects on water quality and, overall, closely match observed chemistry for a variety of constituents. This work highlights the applicability of various geochemical datasets to predictive modeling, evaluates discrepancies between observed and predicted water quality, and presents geochemical modeling techniques used to achieve predictions that are both representatives of observed water quality and useful for evaluating future pit-lake chemistry.
Hanna, B.T, Newman, C.P., Sterrett, R.J. “A Calibrated Predictive Geochemical Model of Leaching and Attenuation Reactions in a Mine Pit Lake,” in Tailings and Mine Waste ’16, CRC Press, 2016
Pit-Lake Geochemical Model.pdf
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