Flow‐covariate prediction of stream pesticide concentrations

E-ISSN： 1552-8618|37|1|260-273

ISSN： 0730-7268

Source： ENVIRONMENTAL TOXICOLOGY & CHEMISTRY (ELECTRONIC), Vol.37, Iss.1, 2018-01, pp. : 260-273

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Microgenetic algorithms and artificial neural networks to assess minimum data requirements for prediction of pesticide concentrations in shallow groundwater on a regional scale

WATER RESOURCES RESEARCH, Vol. 44, Iss. 5, 2008-05 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modeling the Factors Impacting Pesticide Concentrations in Groundwater Wells

GROUND WATER, Vol. 53, Iss. 5, 2015-09 ,pp. : 722-736

John Wiley & Sons Inc

Access to resources Recommend Favorite

An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed

JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol. 2169-8953, Iss. 10, 2014-10 ,pp. : 1970-1984

John Wiley & Sons Inc

Access to resources Recommend Favorite

An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed

JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol. 119, Iss. 10, 2014-10 ,pp. : 1970-1984

John Wiley & Sons Inc

Access to resources Recommend Favorite

Hillslope–riparian‐stream connectivity and flow directions at the Panola Mountain Research Watershed

HYDROLOGICAL PROCESSES (ELECTRONIC), Vol. 29, Iss. 16, 2015-07 ,pp. : 3556-3574

John Wiley & Sons Inc

Access to resources Recommend Favorite