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Abstract
Environmental Sciences Environmental Sciences & Ecology Life Sciences & Biomedicine Physical Sciences Science & Technology Water Resources
Water eutrophication is a global environmental problem that poses serious threats to aquatic ecosystems and human health. The evaluation of eutrophication provides a theoretical basis and technical guidance for the management and rehabilitation of water ecosystems. In the last four decades, dozens of evaluation methods have been applied to freshwater eutrophication, but there is a clear need to optimize and standardize the most suitable methods. We have addressed this gap by presenting a systematic review of methodologies. Due to the diversity and complexity of water bodies, no single evaluation method was identified that would adequately represent eutrophication under all scenarios. We demonstrate that lakes can best be assessed using the trophic level index (TLI) method, reservoirs and wetlands the trophic state index (TSI) and fuzzy comprehensive evaluation (FCE) method, respectively, and rivers the FCE method or back propagation (BP) neural network methods. More recently applied methodologies including spectral imaging and 3-D mapping of water quality using underwater gliders allow greater resolution and can be effective in managing waterbodies to avoid future eutrophication. The aim of this review is to guide future studies on the most appropriate methods available for assessing and reporting water eutrophication.
Details
Title
A Critical Review of Methods for Analyzing Freshwater Eutrophication
Creators
Yan Zhang - Foshan University
Mingxuan Li - Foshan University
Jiefeng Dong - Foshan University
Hong Yang - University of Reading
Lukas Van Zwieten - Foshan University
Hui Lu - Sun Yat-sen University
Aref Alshameri - Foshan University
Zihan Zhan - Foshan University
Xin Chen - Foshan University
Xueding Jiang - Foshan University
Weicheng Xu - Foshan University
Yanping Bao - Foshan University
Hailong Wang - Foshan University
Publication Details
Water, Vol.13(2), pp.1-20
Publisher
MDPI AG
Number of pages
20
Grant note
2019A1515111024; 2019A1515110811 / Natural Science Foundation of Guangdong Province; National Natural Science Foundation of Guangdong Province
2020JNHB08 / College Teacher Characteristic Innovation Research Project
Research Fund Program of Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology
Foshan University Lingnan Visiting Professor scheme