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Special Issue "Decision Support Tools for Water Quality Management"
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Resources Management, Policy and Governance".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 16570
Special Issue Editors
2. Department of Civil Engineering, University of California, Merced, Merced, CA, USA
Interests: agricultural systems; hydro-ecology; irrigation and drainage management; sensor networks; TMDL modelling; water quality; decision support
Special Issues, Collections and Topics in MDPI journals
Interests: environmental and resource economics
Interests: economics; environment; agriculture
2. Affiliated with Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanographic and Atmospheric Administration, Santa Cruz, CA 95060, USA
Interests: hydrodynamic modelling; nonlinear system dynamics; signal processing; TMDL analysis; decision support
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
The sustainability of water resources worldwide is increasingly imperiled as climate change contributes to the human-induced problems of water-supply scarcity and maldistribution. The environmental problems associated with water quality have been slower to receive attention; however, the litany of natural disasters that have accompanied these ecosystem changes have created a present-day crisis. The environmental problems associated with agriculture such as aquifer depletion, land subsidence, the seasonal drying of river flows, waterlogging, the salinization of river water and aquifers, and human health problems from the excessive use of fertilizers and pesticides all have a water-quality component that requires a radical re-thinking of resource-management policy and new tools to help analysts and regulators craft novel solutions. Likewise, municipal and industrial sectors that rely on a high-quality potable water supply are cognizant of the challenges of curtailing the pollution of the environment while minimizing the costs of treatment and pollutant disposal.
Over the past several decades, with the advent and rapid progress of computational technology, watershed models have increasingly become important and effective tools for tackling a wide range of water resource and environmental management issues and for supporting regulatory compliance. Statistical and machine-learning methods are being used to support and even supplant more-traditional simulation models to improve the estimation of the temporal dynamics of and patterns of variability in pollutant concentrations and loads. With the advancements in modelling approaches for water quality, there have also been developments in decision-support tools for water-quality management.
This Special Issue on “Decision Support Tools for Water Quality Management” seeks contributions that describe innovative decision-support approaches from around the world and across sectors that can be applied by stakeholders, government entities and regulators to reduce environmental pollution and result in cost-effective and sustainable water management strategies. Examples from agriculture, the municipal and industrial sectors and environmental ecosystems are encouraged.
Submitted papers may address one or more of the following aspects of environmental-decision support:
- Provide an overview of water-quality sustainability challenges and opportunities.
- Describe novel or successful techniques for measuring and monitoring water quantity and quality as a basis for progressing towards sustainable management.
- Explore computer-based-simulation modeling and other analytical techniques that enhance understanding of the water-quality problem or issue and help to formulate solution strategies.
- Describe sensor and remote-sensing technologies that can be integrated with other more-traditional approaches to develop sustainable water-quality-enhancement strategies.
- Use benefit–cost analysis to demonstrate the economic benefits and costs associated with the development and application of decision-support tools.
- Demonstrate the use of various decision-support systems for the optimal management of water quality within a region and for considering the welfare consequences of water-quality regulations.
Dr. Nigel W.T. Quinn
Prof. Dr. Ariel Dinar
Prof. Dr. Iddo Kan
Dr. Vamsi Krishna Sridharan
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 2200 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.
- climate change
- water pollution
- water quality
- decision support
- remote sensing
- political processes
- regulatory framework