Spatial–Temporal Variation and Risk Assessment of Water Quality

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

Deadline for manuscript submissions: 20 August 2024 | Viewed by 1670

Special Issue Editors


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Guest Editor
Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Interests: pollution source identification; risk assessment of water quality; water environment modelling; artificial intelligence; water environmental management system

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Guest Editor Assistant
Sichuan Province Environmental Monitoring Station, Chengdu 610041, China
Interests: water environment monitoring; pollution source identification; water quality assessment; water environment modelling

Special Issue Information

Dear Colleagues,

The vast majority of the world's population lives in areas where water security is at high risk. Due to rapid socioeconomic development and the overexploitation of water resources, the quality of the water environment is declining, and serious water pollution problems are occurring in some areas. In the future, increased demand and changes in precipitation patterns resulting from climate change will further exacerbate water pollution and water scarcity, posing a great threat to the water ecological environment and human health. This Special Issue focuses on the hot and difficult issues in water environment quality, highlights the spatial and temporal heterogeneity of water pollutants and their drivers, and discusses the issues of water pollution accident simulation and water pollution risk assessment. The findings included will provide important knowledge and a scientific basis for determining the trends in water quality changes, adopting management measures and establishing early warning mechanisms.

Topics for this Special Issue include, but are not limited to, the following:

  1. Water quality assessment;
  2. Spatial–temporal variation in water quality in lakes, rivers, and reservoirs;
  3. Driving factor analysis of water quality variation;
  4. Simulation and early warning of sudden water environment accidents;
  5. Risk assessment of water quality;
  6. Study on the coefficient of water environment models;
  7. New technique for water quality or risk assessment.

Dr. Yonggui Wang
Guest Editor

Dr. Qiang Liu
Guest Editor Assistant

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 pollutants
  • spatial–temporal variation
  • driving factors
  • sudden water pollution incidents
  • model coefficient
  • water quality modelling
  • water quality assessment

Published Papers (1 paper)

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Research

26 pages, 7316 KiB  
Article
Drinking Water Quality in the Kingdom of Saudi Arabia
by Ali A. Al-Hamzah and Christopher M. Fellows
Water 2024, 16(13), 1810; https://doi.org/10.3390/w16131810 - 26 Jun 2024
Viewed by 1383
Abstract
The production and transmission system of the Saudi Water Authority (SWA) faces a number of challenges in maintaining the high quality of potable water. Produced desalinated water is transmitted for long distances and is mixed with ground and surface waters of varying quality. [...] Read more.
The production and transmission system of the Saudi Water Authority (SWA) faces a number of challenges in maintaining the high quality of potable water. Produced desalinated water is transmitted for long distances and is mixed with ground and surface waters of varying quality. The SWA is also in the process of converting from thermal desalination to seawater reverse osmosis which typically gives higher total dissolved solids, requiring better control of species with possible impacts on system integrity or human health. The results of monitoring across the desalination plants and transmission systems of the SWA in 2020–2022 confirm an overall high quality of water, with levels of disinfection by-products and heavy metals low in comparison to public water supplies in high-income countries dependent on surface and groundwater rather than seawater desalination. The results also indicate that continued operational improvements are required with the transition from thermal desalination technologies to reverse osmosis in order to maintain chloride at a level to avoid corrosion in the distribution system and to maintain boron and bromate within acceptable regulatory limits. Significant improvement in bromate control was observed over the course of the study, and recent innovations in post-treatment suggest that this will improve further. Full article
(This article belongs to the Special Issue Spatial–Temporal Variation and Risk Assessment of Water Quality)
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