Regression models for estimating sediment and nutrient concentrations and loads at the Iroquois River near Foresman, Indiana, March 2015 through July 2018 / / by Timothy R. Lathrop [and three others] |
Autore | Lathrop Timothy R. |
Pubbl/distr/stampa | Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2019 |
Descrizione fisica | 1 online resource (vi, 14 pages) : illustrations (some color), maps |
Collana | Scientific investigations report |
Soggetto topico |
River sediments - Quality - Indiana
Sediments (Geology) - Indiana - Analysis Regression analysis Nutrient pollution of water - Indiana Stream measurements - Iroquois River (Ind. and Ill.) Water quality management - Indiana Water - Sampling - Iroquois River (Ind. and Ill.) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910713807803321 |
Lathrop Timothy R.
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Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Regression models for estimating sediment and nutrient concentrations and loads at the Kankakee River, Shelby, Indiana, December 2015 through May 2018 / / by Timothy R. Lathrop, Aubrey R. Bunch, and Myles S. Downhour |
Autore | Lathrop Timothy R. |
Pubbl/distr/stampa | Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2019 |
Descrizione fisica | 1 online resource (vi, 13 pages) : illustrations, map + + Data releases |
Collana | Scientific investigations report |
Soggetto topico |
Nutrient pollution of water - Kankakee River (Ind. and Ill.) - Mathematical models
River sediments - Kankakee River (Ind. and Ill.) - Mathematical models Stream measurements - Kankakee River (Ind. and Ill.) - Mathematical models Regression analysis Water quality management - Indiana - Shelby |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910716673003321 |
Lathrop Timothy R.
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Reston, Virginia : , : U.S. Department of the Interior, U.S. Geological Survey, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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