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Water
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Monitoring and Modelling of Contaminants in Water Environment
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Monitoring and Modelling of Contaminants in Water Environment

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 2212

Special Issue Editors

Dr. Hang Wan

E-Mail Website
Guest Editor
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 519000, China
Interests: water environment monitoring; contaminant hydrology; computational fluid dy-namics; deep learning; environmental impact
Special Issues, Collections and Topics in MDPI journals
Dr. Jingjie Feng

E-Mail Website
Guest Editor
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
Interests: hydraulics; water resources engineering; hydraulic modelling; environmental hy-draulics; water quality protection
Dr. Hui Li

E-Mail Website
Guest Editor
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
Interests: water environment monitoring; contaminant hydrology; virtual water; environmental system analysis; water environment management
Dr. Hao Sun

E-Mail Website
Guest Editor Assistant
Institute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Nanjing, China
Interests: porous materials; pollution reduction; contaminant adsorption; catalytic degradation of pollutants; adsorption kinetics; emerging pollutant

Special Issue Information

Dear Colleagues,

Affected by climate change and human activities, the water environment in watersheds has changed greatly. Water environment protection is of the utmost importance in ensuring national water security. In order to carry out the work of water environment protection more effectively, it is necessary to master the evolution process of the water environment in the basin under the new situation. Accurate monitoring and modelling of the evolution of water quality is a prerequisite for water safety protection. The Special Issue mainly focuses on water quality monitoring and the development of new technologies for water quality simulation. The proposal for the Special Issue aims to strengthen water environment control through new technologies and achieve timely control and early warning of water quality pollution. In view of that, the editors of the Special Issue encourage researchers to obtain interesting results on this topic and to submit high-quality manuscripts, including review papers, regular research articles, interesting images, and communications in the fields of monitoring and modelling of contaminants in water environments.

Papers on all relevant topics are welcome, including but not limited to the following:

  • Methods, theories, and systems for water quality monitoring;
  • Methods, theories, and systems for water quality modelling;
  • Environmental risks associated with pollutants;
  • Source and sink characteristics of pollutants in the environment;
  • Pollution reduction and water quality control.

Dr. Hang Wan
Dr. Jingjie Feng
Dr. Hui Li
Dr. Hao Sun
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

  • water environment monitoring
  • contaminant hydrology
  • climate change
  • environmental hydraulics
  • deep learning
  • emerging pollutants
  • pollution reduction
  • pollution source analysis

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

9 pages, 1318 KiB  
Article
Effects of Sublethal Exposure to Three Water Pollutants on Scototaxis in Rare Minnow (Gobiocypris rarus)
by Ning Qiu, Wenjing Li, Jianna Jia, Guoqiang Ma and Shitao Peng
Water 2024, 16(20), 2948; https://doi.org/10.3390/w16202948 - 16 Oct 2024
Viewed by 665
Abstract
The biological early warning system with fish behavior as the detection index is an efficient and rapid early warning technology for the ecological damage caused by water pollutants. However, the attempt to apply the scototaxis (dark preference) behavior of fish to biological early [...] Read more.
The biological early warning system with fish behavior as the detection index is an efficient and rapid early warning technology for the ecological damage caused by water pollutants. However, the attempt to apply the scototaxis (dark preference) behavior of fish to biological early warning is still relatively lacking. In this study, we delved into the dark and light preferences of the rare minnows (Gobiocypris rarus), employing three distinct tank configurations. Additionally, we systematically examined the modulating effects of environmental illumination, nutritional status, and the number of test subjects on this behavior, aiming to establish optimal experimental parameters for its observation. Furthermore, cadmium ions [Cd2+], tricaine methanesulfonate [MS222], and p-chloroaniline were employed as representative heavy metal ions, neuroactive agents, and organic toxicants, respectively, to test the impact of chemicals on scototaxis in gradient concentrations. The results demonstrated that the rare minnow exhibited a clear scototaxis (dark preference), and this behavior was not affected by the nutritional status of the test fish, the illumination, or the number of subjects. While the dark chamber was consistently the preferred location of rare minnows during the chemical exposure tests, the degree of scototaxis by the rare minnow significantly decreased at Cd2+ ≥ 3 mg/L, MS222 ≥ 11 mg/L, and p-chloroaniline ≥ 29 mg/L, suggesting a potential disruption of their innate behavioral patterns by these chemicals. These findings underscore the sensitivity of rare minnows to water pollutants. Therefore, the scototaxis behavior of rare minnows can be a potential and useful behavioral indicator for biological early warning, which can be used for early biological warning of sudden water pollution caused by chemicals such as Cd2+, MS222, and p-chloroaniline. Full article
(This article belongs to the Special Issue Monitoring and Modelling of Contaminants in Water Environment)
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12 pages, 3442 KiB  
Article
Assessment of Potentially Toxic Elements in Subtropical Urban Streams (Santo André, SP, Brazil)
by Rafaella M. T. Espeçoto, Marilena M. Luciano, Bruno L. Batista, Camila N. Lange, Heloísa F. Maltez, Luís C. Schiesari, Marcus V. França, Ângela T. Fushita, Lúcia H. G. Coelho and Ricardo H. Taniwaki
Water 2024, 16(18), 2681; https://doi.org/10.3390/w16182681 - 20 Sep 2024
Viewed by 1070
Abstract
Environmental contamination by potentially toxic elements (PTEs) poses a significant challenge, particularly in the metropolitan regions of developing countries. This issue arises from the high levels of pollution driven by industrial growth and the increased traffic from fossil fuel-powered vehicles. Even after the [...] Read more.
Environmental contamination by potentially toxic elements (PTEs) poses a significant challenge, particularly in the metropolitan regions of developing countries. This issue arises from the high levels of pollution driven by industrial growth and the increased traffic from fossil fuel-powered vehicles. Even after the wastewater treatment in treatment plants, PTEs often persist, posing risks to stream structure and function. This form of pollution is persistent, long-term, and irreversible, presenting a significant challenge in terms of freshwater conservation. This study aimed to assess the water quality and PTE concentrations in urban streams in Santo André, SP, Brazil, to identify the PTEs relevant to stream pollution. We analyzed the water quality in seven catchments in the Santo André municipality, in the metropolitan region of São Paulo, Brazil. The samples were collected during the dry (2021) and rainy periods (2022), and the concentrations of potentially toxic elements (PTEs) were analyzed via inductively coupled plasma–mass spectrometry (ICP-MS). The results showed elevated electrical conductivity (429 ± 211 μS·cm) and low dissolved oxygen concentrations in the streams (2.3 ± 0.95 μg·L), indicating potential problems such as eutrophication and toxicity to aquatic organisms. PTE concentrations, particularly those of Mn (30.8 ± 22.3 μg·L), Fe (91.1 ± 72.1 μg·L), and Zn (38.1 ± 28.7 μg·L), were among the highest concentrations. Seasonal variations affected the PTE concentrations, with Cr and Fe predominating during the dry season and Zn increasing during the rainy season. Associations were found between the PTE concentrations and the water pH, indicating the importance of continuous monitoring and remediation efforts. Full article
(This article belongs to the Special Issue Monitoring and Modelling of Contaminants in Water Environment)
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