Optimum sampling density for the prediction of acid mine drainage in an underground sulphide mine

Modis, K; Komnitsas, K

dc.contributor.author	Modis, K	en
dc.contributor.author	Komnitsas, K	en
dc.date.accessioned	2014-03-01T01:26:50Z
dc.date.available	2014-03-01T01:26:50Z
dc.date.issued	2007	en
dc.identifier.issn	10259112	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18250
dc.subject	Acid Mine Drainage	en
dc.subject	Information Theory	en
dc.subject	Structure Analysis	en
dc.subject	Neutralization Potential	en
dc.title	Optimum sampling density for the prediction of acid mine drainage in an underground sulphide mine	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10230-007-0014-4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10230-007-0014-4	en
heal.publicationDate	2007	en
heal.abstract	Information theory allows one to define an optimal sampling density. Sampling above this critical frequency adds very little accuracy to the mapping results. We demonstrate the establishment of a critical sampling grid for the Stratonion mixed sulphide mining area in Chalkidiki peninsula, Greece, and the extraction of maximum information; the data used was derived from a previous sampling campaign carried out to estimate ore reserves and predict the net neutralization potential (NNP) of the rock formations. A structural analysis of NNP values generates a variogram model that can be used to define the optimum sampling grid. © 2007 Springer-Verlag.	en
heal.journalName	Mine Water and the Environment	en
dc.identifier.doi	10.1007/s10230-007-0014-4	en
dc.identifier.volume	26	en
dc.identifier.issue	4	en
dc.identifier.spage	237	en
dc.identifier.epage	242	en