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Analysis of Chlorinated Hydrocarbon Concentration Data from Thousands of Groundwater Wells Using a Density-Based Cluster Analysis Approach

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posted on 13.10.2017, 04:15 by Walt McNab
A meta-analysis of historic groundwater chlorinated hydrocarbon plume data from approximately 17,000 monitoring wells across California, represented in the state’s publically-accessible Groundwater Monitoring and Assessment (GAMA) database, was conducted with the assistance of a machine learning approach, density (DBSCAN), that divided the data into individual sites and plumes. The python 2.7 script used to extract and process the data can be found at https://github.com/NumericalEnvironmental/VOC_Plume_Meta-analysis_with_Python.

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