CONTRAST OF EVOLUTION MODELS FOR AGRICULTURAL CONTAMINANTS IN GROUND WATERS BY MEANS OF FUZZY LOGIC AND DATA MINING

dc.contributor.author	Andujar J.M.
dc.contributor.author	Aroba J.
dc.contributor.author	De torre M.L.L.
dc.contributor.author	Grande J.A.
dc.date.accessioned	2024-09-20T06:16:47Z
dc.date.available	2024-09-20T06:16:47Z
dc.date.issued	2006
dc.identifier	https://www.elibrary.ru/item.asp?id=52829979
dc.identifier.citation	Environmental Geology, 2006, 49, 3, 458-466
dc.identifier.issn	0943-0105
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/45223
dc.description.abstract	This work aims at contrasting, by means of a set of fuzzy logic- and data mining-based algorithms, the functioning model of a detritic aquifer undergoing overexploitation and nitrate excess input coming from strawberry and citrus intensive crops in its recharge zone. To provide researchers unskilled in data mining techniques with an easy and intuitive interpretation, the authors have developed a computer tool based on fuzzy logic that allows immediate qualitative analysis of the data contained in a data mass from the water chemical analyses, and serves as a contrast to functioning models previously proposed with classical statistics.
dc.subject	DETRITIC AQUIFER SYSTEM
dc.subject	POLLUTION
dc.subject	NITRATE
dc.subject	AQUIFER
dc.subject	FUZZY LOGIC
dc.subject	DATA MINING
dc.title	CONTRAST OF EVOLUTION MODELS FOR AGRICULTURAL CONTAMINANTS IN GROUND WATERS BY MEANS OF FUZZY LOGIC AND DATA MINING
dc.type	Статья
dc.identifier.doi	10.1007/s00254-005-0103-2

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