Name: Phosphorus and Suspended Sediment Load Estimates for the Lower Boise River, Idaho, 1994-2002: Usgs Scientific Investigations Report 2004-5235 (en Inglés)
Price: 74395.00 COP
Availability: InStock
Author: Donato, Mary M. ; Maccoy, Dorene E.
ISBN: 9781288880959

portada Phosphorus and Suspended Sediment Load Estimates for the Lower Boise River, Idaho, 1994-2002: Usgs Scientific Investigations Report 2004-5235 (en Inglés)

Phosphorus and Suspended Sediment Load Estimates for the Lower Boise River, Idaho, 1994-2002: Usgs Scientific Investigations Report 2004-5235 (en Inglés)

Formato

Libro Físico

Autor

Dorene E. Maccoy

Mary M. Donato

Editorial

Bibliogov

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.2 cm

Peso

0.10 kg.

ISBN13

9781288880959

Categorías

Política y gobierno

Phosphorus and Suspended Sediment Load Estimates for the Lower Boise River, Idaho, 1994-2002: Usgs Scientific Investigations Report 2004-5235 (en Inglés)

Dorene E. Maccoy (Autor) · Mary M. Donato (Autor) · Bibliogov · Tapa Blanda

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Reseña del libro "Phosphorus and Suspended Sediment Load Estimates for the Lower Boise River, Idaho, 1994-2002: Usgs Scientific Investigations Report 2004-5235 (en Inglés)"

The U.S. Geological Survey used LOADEST, newly developed load estimation software, to develop regression equations and estimate loads of total phosphorus (TP), dissolved orthophosphorus (OP), and suspended sediment (SS) from January 1994 through September 2002 at four sites on the lower Boise River: Boise River below Diversion Dam near Boise, Boise River at Glenwood Bridge at Boise, Boise River near Middleton, and Boise River near Parma. The objective was to help the Idaho Department of Environmental Quality develop and implement total maximum daily loads (TMDLs) by providing spatial and temporal resolution for phosphorus and sediment loads and enabling load estimates made by mass balance calculations to be refined and validated. Regression models for TP and OP generally were well fit on the basis of regression coefficients of determination (R2), but results varied in quality from site to site.