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Statistical extrapolation of nutrient concentrations in the Baltic Sea

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Abstract

In this paper we present some methods for doing extrapolation of nutrient concentrations in the water mass of the Baltic Sea. One purpose is to make summations of the total amounts of nutrients in different basins. Data are modelled as observations from a stochastic process having room coordinates as its parameter. Three methods of extrapolation are deduced and the choice of method is based on validation towards the current data set.
Authors:
Publication Date:
Jun 01, 1992
Product Type:
Technical Report
Report Number:
LITH-MAT-R-92-32
Reference Number:
SCA: 540320; PA: SWD-92:007309; SN: 93000918388
Resource Relation:
Other Information: PBD: Jun 1992
Subject:
54 ENVIRONMENTAL SCIENCES; BALTIC SEA; NUTRIENTS; NITRATES; PHOSPHORUS; EXTRAPOLATION; WATER POLLUTION; MATHEMATICAL MODELS; QUANTITY RATIO; 540320; CHEMICALS MONITORING AND TRANSPORT
OSTI ID:
10113648
Research Organizations:
Linkoeping Univ. (Sweden). Dept. of Mathematics
Country of Origin:
Sweden
Language:
English
Other Identifying Numbers:
Other: ON: DE93753076; TRN: SE9207309
Availability:
OSTI; NTIS
Submitting Site:
SWD
Size:
62 p.
Announcement Date:
Jun 30, 2005

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Citation Formats

Nordgaard, A, and Hjorth, U. Statistical extrapolation of nutrient concentrations in the Baltic Sea. Sweden: N. p., 1992. Web.
Nordgaard, A, & Hjorth, U. Statistical extrapolation of nutrient concentrations in the Baltic Sea. Sweden.
Nordgaard, A, and Hjorth, U. 1992. "Statistical extrapolation of nutrient concentrations in the Baltic Sea." Sweden.
@misc{etde_10113648,
title = {Statistical extrapolation of nutrient concentrations in the Baltic Sea}
 author = {Nordgaard, A, and Hjorth, U}
 abstractNote = {In this paper we present some methods for doing extrapolation of nutrient concentrations in the water mass of the Baltic Sea. One purpose is to make summations of the total amounts of nutrients in different basins. Data are modelled as observations from a stochastic process having room coordinates as its parameter. Three methods of extrapolation are deduced and the choice of method is based on validation towards the current data set.}
 place = {Sweden}
 year = {1992}
 month = {Jun}
 }