The potential for nitrate removal during infiltration: Mapping with machine learning informed by field and laboratory experiments-Reference-Cited by-同舟云学术

The potential for nitrate removal during infiltration: Mapping with machine learning informed by field and laboratory experiments

Published:2022-11 Issue:11 Volume:36 Page:
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Gorski Galen¹²^ORCID,Fisher Andrew T.²,Dailey Hannah³,Beganskas Sarah⁴,Schmidt Calla⁵

Affiliation:

1. U. S. Geological Survey Reston Virginia USA

2. Department of Earth and Planetary Sciences University of California Santa Cruz Santa Cruz California USA

3. Central Valley Regional Water Quality Control Board Rancho Cordova California USA

4. Water Resource Management, Delaware River Basin Commission West Trenton New Jersey USA

5. Department of Environmental Science University of San Francisco San Francisco California USA

Funder

Gordon and Betty Moore Foundation

National Science Foundation of Sri Lanka

National Institute of Food and Agriculture

Natural Resources Conservation Service

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14750

Reference75 articles.

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4. Beck N.;Mathias M.;Conley G.;Founds M.;Platts B.;Lockwood B.;Meusel C.2016.Pajaro Valley Water Management Agency Salt and Nutrient Management Plan.Cent. Coast Reg. Water Qual. Control BoardPlaceholder Text October.

5. Coupling distributed stormwater collection and managed aquifer recharge: Field application and implications

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