@article{(Open Science Index):https://publications.waset.org/pdf/10012200,
	  title     = {Hydrochemical Contamination Profiling and Spatial-Temporal Mapping with the Support of Multivariate and Cluster Statistical Analysis},
	  author    = {S. Barbosa and  M. Pinto and  J. A. Almeida and  E. Carvalho and  C. Diamantino},
	  country	= {},
	  institution	= {},
	  abstract     = {The aim of this work was to test a methodology able to generate spatial-temporal maps that can synthesize simultaneously the trends of distinct hydrochemical indicators in an old radium-uranium tailings dam deposit. Multidimensionality reduction derived from principal component analysis and subsequent data aggregation derived from clustering analysis allow to identify distinct hydrochemical behavioral profiles and generate synthetic evolutionary hydrochemical maps.},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {15},
	  number    = {9},
	  year      = {2021},
	  pages     = {243 - 252},
	  ee        = {https://publications.waset.org/pdf/10012200},
	  url   	= {https://publications.waset.org/vol/177},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 177, 2021},
	}