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Titolo:
STOCHASTIC MODELING OF WATER TEMPERATURES IN A SMALL STREAM USING AIR-TO-WATER RELATIONS
Autore:
CAISSIE D; ELJABI N; STHILAIRE A;
Indirizzi:
FISHERIES & OCEANS CANADA,POB 5030 MONCTON NB E1C 9B6 CANADA UNIV MONCTON,ECOLE GENIE MONCTON NB E1A 3E9 CANADA
Titolo Testata:
Canadian journal of civil engineering (Print)
fascicolo: 2, volume: 25, anno: 1998,
pagine: 250 - 260
SICI:
0315-1468(1998)25:2<250:SMOWTI>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
CALIBRATION; RIVER;
Keywords:
SMALL STREAM; WATER TEMPERATURE; MODEL; STOCHASTIC; ROOT MEAN SQUARE ERROR; MARKOV PROCESS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
31
Recensione:
Indirizzi per estratti:
Citazione:
D. Caissie et al., "STOCHASTIC MODELING OF WATER TEMPERATURES IN A SMALL STREAM USING AIR-TO-WATER RELATIONS", Canadian journal of civil engineering (Print), 25(2), 1998, pp. 250-260

Abstract

Stream water temperature is a very important parameter when assessingaquatic ecosystem dynamics. For instance, cold-water fishes such as salmon can be adversely affected by maximum summer temperatures or by those exaggerated by land-use activities such as deforestation. The present study deals with the modelling of stream water temperatures usinga stochastic approach to relate air and water temperatures in Catamaran Brook, a small stream in New Brunswick where long-term multidisciplinary habitat research is being carried out. The first step in the modelling approach was to establish the long-term annual component (pattern) in stream water temperatures. This was possible by fitting a Fourier series to stream water temperatures. The. short-term residual temperatures (departure from the long-term annual component) were modelled using different air to water relations, namely a multiple regression analysis, a second-order Markov process, and a Box-Jenkins time-series model. The results indicated that it was possible to predict daily water temperatures for small streams using air temperatures and that the three models produced similar results in predicting stream temperatures. The root mean square error (RSME) varied between 0.59 degrees C and1.68 degrees C on an annual basis from 1990 to 1995, with the warmestyear (1994) showing the highest RMSE. Although 1992 was an exceptionally cold summer (coldest in 30 years), good predictions of stream water temperature were obtained, with an RMSE of approximately 1.24 degrees C. Of the three models. the second-order Markov process was preferred based on its performance and its simplicity in development.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 15/07/20 alle ore 05:33:07