Using high-frequency monitoring data to quantify city-wide suspended-sediment load and evaluate TMDL goals.

Miller, Samuel A; Webber, James S; Jastram, John D; Aguilar, Marcus F

Miller, Samuel A; Webber, James S; Jastram, John D; Aguilar, Marcus F.

Afiliação

Miller SA; U.S. Geological Survey, Virginia and West Virginia Water Science Center, 1730 East Parham Road, Richmond, VA, 23228, USA. smiller@usgs.gov.
Webber JS; U.S. Geological Survey, Virginia and West Virginia Water Science Center, 1730 East Parham Road, Richmond, VA, 23228, USA.
Jastram JD; U.S. Geological Survey, Virginia and West Virginia Water Science Center, 1730 East Parham Road, Richmond, VA, 23228, USA.
Aguilar MF; City of Roanoke, Department of Public Works, 1802 Courtland Rd. NE, Roanoke, VA, 24012, USA.

Environ Monit Assess ; 195(11): 1372, 2023 Oct 26.

Article em En | MEDLINE | ID: mdl-37880518

Assuntos

Monitoramento Ambiental; Objetivos; Estados Unidos; Monitoramento Ambiental/métodos; Cidades; Virginia; Rios

Palavras-chave

Surrogate regression model; Suspended sediment; TMDL; Turbidity; Urban hydrology; Water quality

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Objetivos País como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google