Polynomial regression to forecast earth dam piezometer levels

Kalkani, EC

dc.contributor.author	Kalkani, EC	en
dc.date.accessioned	2014-03-01T01:07:38Z
dc.date.available	2014-03-01T01:07:38Z
dc.date.issued	1989	en
dc.identifier.issn	0733-9437	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10077
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0024707643&partnerID=40&md5=19b1ae8c560d0aeae92b9cb6f9902579	en
dc.subject.classification	Agricultural Engineering	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Water Resources	en
dc.subject.other	Dams--Seepage	en
dc.subject.other	Mathematical Techniques--Polynomials	en
dc.subject.other	Statistical Methods--Regression Analysis	en
dc.subject.other	Piezometer Levels	en
dc.subject.other	Piezometers	en
dc.subject.other	Dams, Embankment	en
dc.title	Polynomial regression to forecast earth dam piezometer levels	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1989	en
heal.abstract	Polynomial regression to forecast earth dam piezometer levels gives a quadratic expression of the piezometer data variation versus reservoir level, which indicates a hysteresis of the piezometer measurements at mid-reservoir levels for increasing reservoir levels compared to decreasing reservoir levels. Forecasting of the piezometer levels based on the calculated quadratic expressions gives expected piezometer values with mean square error around 10% of the standard deviation of the polynomial regression curves.	en
heal.publisher	ASCE-AMER SOC CIVIL ENGINEERS	en
heal.journalName	Journal of Irrigation and Drainage Engineering	en
dc.identifier.isi	ISI:A1989AH38900003	en
dc.identifier.volume	115	en
dc.identifier.issue	4	en
dc.identifier.spage	545	en
dc.identifier.epage	555	en