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Monitoring, Controlling, and Management of Water Quality

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1647

Special Issue Editor


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Guest Editor
Department of Ecology, Evolution, and Natural Resources, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA
Interests: water quality monitoring; watershed modeling; climate change; ecohydrology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water security is a pressing issue in our society, with both water quantity and quality playing crucial roles. However, water quality is often overlooked over water quantity, resulting in the degradation of ecosystems and multiple health, as well as environmental, consequences. The ever-increasing threats to water quality are complicated by population growth, increasing economic activities, climate change, land use development, and technological advancements, such as the conversion of forested areas into commercial or residential areas, increasing the impervious surface cover resulting from the alteration of magnitude and volume of surface runoff, leading to the transportation of more nutrients, metals, pharmaceuticals, and toxic substances into waterways. Therefore, the improvement of water quality is one of the highest-ranking agendas endorsed by the United Nations, due to the looming global water crisis. In order to secure our future generations’ availability of adequate and safe freshwater, additional research regarding water quality is the need of the hour to fulfill the daunting task. Consequently, the goal of this Special Issue is to gather both contemporary as well as emerging techniques in water quality research in one location, making access convenient for researchers and policymakers.

This Special Issue ranges from a wide spectrum of topics, including water quality monitoring, water quality modeling as well as water quality policies (water quality management). Water quality monitoring consists of long-term in situ platforms (nutrient sensors), remote sensing systems (Landsat, Sentinel, Modis) as well as airborne imagery sensors (drone with camera) for various water quality parameters such as nutrients, harmful algal blooms, sediments, etc. Water quality modeling includes physically based watershed-scale models, empirical models as well as relatively new machine learning approaches to recommend research outcomes to policymakers on a large-scale basis. The water quality policies consist of a cost-benefit analysis to differentiate between existing water quality policies to assess their values to societies. The overarching goal of this Special Issue is to capture the new paradigms of water quality research and, therefore, I invite all my colleagues to contribute their innovative concepts of water quality research.

Dr. Subhasis Giri
Guest Editor

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. Sustainability 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 2400 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

  • water quality monitoring
  • climate change
  • harmful algal bloom
  • remote sensing
  • watershed modeling
  • machine learning
  • cost-benefit analysis

Published Papers (1 paper)

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Research

11 pages, 2012 KiB  
Article
Characteristics of Phytoplankton Production in Wet and Dry Seasons in Hyper-Eutrophic Lake Taihu, China
by Jin Wei, Xiaonan Ji and Wei Hu
Sustainability 2022, 14(18), 11216; https://0-doi-org.brum.beds.ac.uk/10.3390/su141811216 - 07 Sep 2022
Cited by 4 | Viewed by 1345
Abstract
Primary productivity plays a key role in aquatic lake ecosystems. This study addresses the characteristics of primary phytoplankton productivity and its relationship with environmental factors in a large, shallow, and eutrophic lake (Lake Taihu, China). Surface water samples were collected in wet and [...] Read more.
Primary productivity plays a key role in aquatic lake ecosystems. This study addresses the characteristics of primary phytoplankton productivity and its relationship with environmental factors in a large, shallow, and eutrophic lake (Lake Taihu, China). Surface water samples were collected in wet and dry seasons from eight lake areas to investigate physicochemical factors and primary productivity. The results show obvious seasonal differences in phytoplankton primary productivity and physicochemical factors in Lake Taihu. The primary productivity in the wet season is about five times larger than that in the dry season, and the spatial distribution of primary productivity is obviously inhomogeneous in the wet season, while in the dry season, there are no significant differences in different lake areas. Most of the lake areas are in the middle eutrophic state regardless of the season; the northwest region has the heaviest degree of eutrophication, while the southeast region has the lightest degree of eutrophication. Pearson correlation indicated that nutrients are the main factors affecting primary productivity in the wet season, while temperature is the most important factor affecting primary productivity in the dry season. Multiple stepwise regression suggested that chlorophyll-a (Chl-a), temperature (T), and water transparency (SD) can be used to estimate the phytoplankton primary productivity in Lake Taihu in different seasons, and the main influencing factors for primary productivity are Chl-a, nutrients, and SD/total suspended solids (TSS) in the wet season and T, Chl-a, and SD/TSS in the dry season. Full article
(This article belongs to the Special Issue Monitoring, Controlling, and Management of Water Quality)
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