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 2248
Special Issue Editor
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
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Keywords
- water quality monitoring
- climate change
- harmful algal bloom
- remote sensing
- watershed modeling
- machine learning
- cost-benefit analysis
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