Special Issue "Water Quality Monitoring in Streams, Rivers, Lakes and Reservoirs: Novel Methods and Applications"
A special issue of Hydrology (ISSN 2306-5338).
Deadline for manuscript submissions: 30 September 2018
Dr. Gustavious Paul Williams
Department of Civil and Environmental Engineering, Brigham Young University, Provo, UT 84602, USA
Website | E-Mail
Interests: evaluation of new tools and methods for water quality monitoring and management; real-time forecasting and data analysis; advanced hydroinformatic frameworks; novel applications of remote sensing techniques to water quality monitoring; water quality monitoring remote sensing using unmanned aerial systems
Technology has made new and novel sensors available and practical for water quality monitoring. Previously, only basic information, such as flow, precipitation, temperature, and a few other parameters, were regularly collected in a near-continuous fashion. Few of these data sets were stored or made easily available for historical or trend analysis. Advances in hydroinformatics now provide efficient access to vast data repositories for historical and near-real time analysis. Field sensors are rugged and can be placed in remote locations or mounted on mobile platforms providing data in locations difficult to access. It is now practical to collect a wide scope of water quality parameters in a near-continuous manner. Similar advances have occurred in remote sensing where multi-spectral and hyper-spectral imagers and other non-contact sensors have the size and cost to make them practical for field applications either hand-held, mounted, or on unmanned aerial systems. We have access to a variety of satellite-collected data previously unavailable, some with long historical records. The amount and types of data available for water quality monitoring has exploded. We generate data sets previously almost unknown in terms of size and scope. For example, you can lower a probe in a reservoir and collect 10 of different parameters every few inches or fly a multi-spectral camera to estimate parameters such as temperature, chlorophyll content, or turbidity on a scale of a few inches, over an entire lake, and repeat this collection on a regular basis. Advances in computing power, data analysis methods, machine learning, cloud storage, distributed hydroinformatics frameworks, and integrated forecasting systems open the door for the application of novel, advanced analysis methods and for new management tools that exploit these new data sets.
Water quality monitoring for streams, rivers, lakes and reservoirs is undergoing a revolution in methods and applications. We need to understand what new sensors are available and how to exploit the resulting data. We need tools to address these huge data sets and use them in effective and efficient manners.
This Special Issue is devoted to highlighting new and novel methods and applications in water quality monitoring. The issue focuses on the use or analysis of new data sets or types, rather than new sensor technology. We encourage studies showing how to combine or analyse disparate data sets to better understand water quality issues or address management concerns. We are interested in new methods that exploit these large data sets. We encourage case studies demonstrating tools optimized for distributed or large data. We invite scholars working on the forefront of recent advances water quality analysis and application to consider submitting their work on topics including but not limited to:
- New statistical analysis tools or methods for large water quality data sets or data streams;
- Data fusion methods and applications;
- Application and use of sensor types new to water quality monitoring;
- Application and use of new data sets or types to water quality monitoring;
- Integrated monitoring and modelling for management and forecasting;
- Applications and advances in hydroinformatics for water quality data;
- Use of imaging and remote sensing technologies for monitoring trends and processes; and
- Advanced case studies demonstrating advances or advantages in water quality monitoring.
Dr. Gustavious Paul Williams
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 papers will be 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. Hydrology is an international peer-reviewed open access quarterly 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 350 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.
- Big data
- Forecasting and time series analysis
- Machine learning and analysis
- Automated data analysis
- Imaging and remote sensing of water quality
- Water quality management tools