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Data Tools Improve Nutrient Monitoring
Author(s) -
Danielsen Karlin,
Zgnilec Nathan,
Kelly Vincent
Publication year - 2018
Publication title -
opflow
Language(s) - English
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.1002/opfl.1050
Subject(s) - nutrient , algal bloom , environmental science , water quality , computer science , nutrient management , environmental resource management , ecology , phytoplankton , biology
Real‐time nutrient monitoring systems can help communities address the underlying causes of persistent nutrient loading in surface waters, providing a better understanding of harmful algal blooms and nutrient management strategies that can improve water quality.