U.S. Department of EnergyOffice of Scientific and Technical Information
The trade off between the complexity, imput data and scale of application of the RAINS-Lake model
Abstract
To use a complex, process oriented site model for predicting broad-scale environmental effects assumes the availability of a large, quality data base for calibrating the model and the validity of the process of extrapolating site-specific results to a larger region. The greater the level of extrapolation the more error prone the model results may become. A simplified version of a complex process oriented RAINS Lake Model (RLM) was developed by regression methods to quantify these extrapolation errors. RLM variables that explain more than 1% of the variation in the model output (pH of 1980) were selected and calibrated to the measured pH distribution in 1980 in the southern region of Finland from 1920 to 1980. An iterative procedure was then used to select the minimum number of variables which best represented the behavior of the RLM. The results show that extreme regional characteristics may necessitate adaptation of a simplified model that has been calibrated in a less extreme regional context.
- Authors:
-
- International Institute for Applied Systems Analysis, Laxenburg, (AT)
- Oak Ridge National Lab., Oak Ridge, TN (US)
- Publication Date:
- OSTI Identifier:
- 6997418
- Report Number(s):
- CONF-880679-
- Resource Type:
- Conference
- Resource Relation:
- Conference: 81. annual meeting of Air Pollution Control Association, Dallas, TX (USA), 19-24 Jun 1988; Other Information: 88-104.1; Related Information: Volume 6
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; AIR POLLUTION MONITORING; REGRESSION ANALYSIS; ENVIRONMENT; PH VALUE; FINLAND; DATA BASE MANAGEMENT; ENVIRONMENTAL EFFECTS; EXTRAPOLATION; ITERATIVE METHODS; MATHEMATICAL MODELS; EUROPE; MANAGEMENT; MATHEMATICS; NUMERICAL SOLUTION; SCANDINAVIA; STATISTICS; WESTERN EUROPE; 540110*; 990200 - Mathematics & Computers; 540120 - Environment, Atmospheric- Chemicals Monitoring & Transport- (1990-)
Citation Formats
Hettelingh, J -P, and Gardner, R H. The trade off between the complexity, imput data and scale of application of the RAINS-Lake model. United States: N. p., 1988.
Web.
Hettelingh, J -P, & Gardner, R H. The trade off between the complexity, imput data and scale of application of the RAINS-Lake model. United States.
Hettelingh, J -P, and Gardner, R H. 1988.
"The trade off between the complexity, imput data and scale of application of the RAINS-Lake model". United States.
@article{osti_6997418,
title = {The trade off between the complexity, imput data and scale of application of the RAINS-Lake model},
author = {Hettelingh, J -P and Gardner, R H},
abstractNote = {To use a complex, process oriented site model for predicting broad-scale environmental effects assumes the availability of a large, quality data base for calibrating the model and the validity of the process of extrapolating site-specific results to a larger region. The greater the level of extrapolation the more error prone the model results may become. A simplified version of a complex process oriented RAINS Lake Model (RLM) was developed by regression methods to quantify these extrapolation errors. RLM variables that explain more than 1% of the variation in the model output (pH of 1980) were selected and calibrated to the measured pH distribution in 1980 in the southern region of Finland from 1920 to 1980. An iterative procedure was then used to select the minimum number of variables which best represented the behavior of the RLM. The results show that extreme regional characteristics may necessitate adaptation of a simplified model that has been calibrated in a less extreme regional context.},
doi = {},
url = {https://www.osti.gov/biblio/6997418},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1988},
month = {Fri Jan 01 00:00:00 EST 1988}
}