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Water
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Lake Eutrophication Management
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Lake Eutrophication Management

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Biodiversity and Functionality of Aquatic Ecosystems".

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 4134

Special Issue Editors

Dr. Zhongyao Liang

E-Mail Website
Guest Editor
Department of Ecosystem Science and Management, Pennsylvania State University, State College, PA 16803, USA
Interests: machine learning; Bayesian statistics; continental limnology; stressor-response relationship; macroecology
Special Issues, Collections and Topics in MDPI journals
Dr. Feifei Dong

E-Mail Website
Guest Editor
Institute of Groundwater and Earth Sciences, Jinan University, Guangzhou 510632, China
Interests: watershed modelling; nutrient management; nonpoint source pollution; climate change; environmental modelling
Dr. Chao Dai

E-Mail Website
Guest Editor
Civil Engineering School, Sun Yat-sen University, Guangzhou 510275, China
Interests: water quality management; water resources modeling; best management practices; simulation-optimization modeling; inexact optimization modeling
Dr. Wei Gao

E-Mail Website
Guest Editor
Institute of Environmental & Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: eutrophication; phosphorus; nitrogen; watershed model; material balance; extreme climate; source apportionment

Special Issue Information

Dear Colleagues,

Lake eutrophication has deteriorated the water quality and destroyed the ecosystem in many lakes. Both the external and internal loading of nutrients can affect the nutrient concentrations in the lake waterbody. Other factors, such as water temperature and light, may also control the growth of phytoplankton. Lake eutrophication management thereby requires careful consideration of nutrient loading as well as other factors. Climate change makes lake eutrophication management more challenging.

In this Special Issue, we call for papers on lake eutrophication management. We welcome all studies relating to lake eutrophication, including (but not limited to) the following topics:

  • Estimate watershed nutrients loading into the lake waterbody.
  • Explore potential causality relationships within the lake ecosystem.
  • Reveal the importance of external and/or internal loadings of nutrients.
  • Develop effective monitoring technologies or methods for early warning of cyanobacteria blooms in lakes.
  • Show impacts of climate change on lake trophic state.
  • Propose effective strategies or suggestions to curb lake eutrophication.

Dr. Zhongyao Liang
Dr. Feifei Dong
Dr. Chao Dai
Dr. Wei Gao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • best management practices
  • external and internal loading
  • nutrient limitation
  • climate change
  • environmental modeling
  • nonpoint source pollution
  • simulation-optimization modeling
  • source apportionment

Published Papers (1 paper)

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Research

19 pages, 3863 KiB  
Article
Comprehensive Water Quality Assessment Using Korean Water Quality Indices and Multivariate Statistical Techniques for Sustainable Water Management of the Paldang Reservoir, South Korea
by Yong-Chul Cho, Jong-Kwon Im, Jiwoo Han, Sang-Hun Kim, Taegu Kang and Soyoung Lee
Water 2023, 15(3), 509; https://doi.org/10.3390/w15030509 - 27 Jan 2023
Cited by 8 | Viewed by 3212
Abstract
The Paldang Reservoir (PDR) in South Korea is vital for supplying drinking water and maintaining ecosystems; thus, a comprehensive understanding of its water quality is necessary. Spatiotemporal changes in reservoir water quality were evaluated by applying Korean water quality indices and multivariate statistical [...] Read more.
The Paldang Reservoir (PDR) in South Korea is vital for supplying drinking water and maintaining ecosystems; thus, a comprehensive understanding of its water quality is necessary. Spatiotemporal changes in reservoir water quality were evaluated by applying Korean water quality indices and multivariate statistical techniques (MSTs). A dataset of 15 water quality parameters at five sites in the PDR were evaluated from 2017 to 2021. The organic matter, suspended matter, total phosphorus (TP), chlorophyll a (Chl-a), and total coliforms in the PDR exhibited a fair grade or higher. Chemical oxygen demand was found to correlate with biochemical oxygen demand, Chl-a, and TP. The average real-time water quality index (RTWQI) and average trophic state index (TSIKO) of the PDR were excellent and mesotrophic, respectively, and 46% of eutrophic conditions occurred during the monsoon season. For a hierarchical cluster analysis (HCA), the five sites were grouped into three polluted areas and 12 months were grouped into dry and wet seasons. Principal component analysis and factor analysis identified four potential pollution sources (domestic sewage, industrial wastewater, intensive agricultural activities, and livestock wastewater) in the PDR and explained 79.7% of the total changes. Thus, the RTWQI, TSIKO, and MSTs are useful tools for assessing freshwater quality in Korea, predicting potentially harmful conditions, and potentially assisting policymakers in PDR management. Full article
(This article belongs to the Special Issue Lake Eutrophication Management)
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