Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 665, Issue -, Pages 213-225Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2019.02.117
Keywords
Driving factor; Human activity; Lakes and reservoirs; Water quality; Phytoplankton
Categories
Funding
- China Scholarship Council (CSC)
- Dalian Ocean University
- Jinan and Dongying Survey Bureau of Hydrology
- Beijing Normal University
- National Natural Science Foundation of China [U1812401, 41471340]
- National Key Project for RD [2016YFC0402403, 2016YFC0402409]
- Programfor Key Science and Technology Innovation Teamin Shaanxi province, China [2014KCT-27]
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Global algal blooms have been severely threatening safety of drinking water and development of socio-economy. Effective prevention and accurate control of algal blooms require a quantitative assessment of the influence of human activities and identification of priority areas. However, previous studies on the quantitative assessment of the effects of human activities on algal communities are lacking, severely hindering the effective and precise control of algal blooms. This paper proposes a quantitative assessment model to evaluate the impact intensity of human activities on phytoplankton. Applications showed that the proliferation of phytoplankton were more limited by nutrients such as total phosphorus and ammonia where waters are less influenced by human activities, yet were less limited by these nutrients where there are highly intensive human activities. The density of phytoplankton in waters increased with an increase in human activity intensity, particularly in concentrated agricultural areas, which are priority areas for the prevention and control of algal blooms. The methodologies can clearly identify key areas for algal bloom prevention and control and can provide scientific evidence for water and nutrient management throughout the world, reducing the risk of algal blooms and ensuring aquatic ecosystem health and potable water safety. (c) 2019 Elsevier B.V. All rights reserved.
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