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

Special Issue Editor

Guest Editor
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

Special Issue Information

Dear Colleagues,

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
Guest Editor

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.

Keywords

  • Big data
  • Hydroinformatics
  • Forecasting and time series analysis
  • Machine learning and analysis
  • Automated data analysis
  • Imaging and remote sensing of water quality
  • Water quality management tools

Published Papers (1 paper)

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Research

Open AccessArticle Measuring and Calculating Current Atmospheric Phosphorous and Nitrogen Loadings to Utah Lake Using Field Samples and Geostatistical Analysis
Received: 20 July 2018 / Revised: 10 August 2018 / Accepted: 14 August 2018 / Published: 15 August 2018
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Abstract
Atmospheric nutrient loading through wet and dry deposition is one of the least understood, yet can be one of the most important, pathways of nutrient transport into lakes and reservoirs. Nutrients, specifically phosphorus and nitrogen, are essential for aquatic life but in excess
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Atmospheric nutrient loading through wet and dry deposition is one of the least understood, yet can be one of the most important, pathways of nutrient transport into lakes and reservoirs. Nutrients, specifically phosphorus and nitrogen, are essential for aquatic life but in excess can cause accelerated algae growth and eutrophication and can be a major factor that causes harmful algal blooms (HABs) that occur in lakes and reservoirs. Utah Lake is subject to eutrophication and HABs. It is susceptible to atmospheric deposition due to its large surface area to volume ratio, high phosphorous levels in local soils, and proximity to Great Basin dust sources. In this study we collected and analyzed eight months of atmospheric deposition data from five locations near Utah Lake. Our data showed that atmospheric deposition to Utah Lake over the 8-month period was between 8 to 350 Mg (metric tonne) of total phosphorus and 46 to 460 Mg of dissolved inorganic nitrogen. This large range is based on which samples were used in the estimate with the larger numbers including results from “contaminated samples”. These nutrient loading values are significant for Utah Lake in that it has been estimated that only about 17 Mg year−1 of phosphorus and about 200 Mg year−1 of nitrogen are needed to support a eutrophic level of algal growth. We found that atmospheric deposition is a major contributor to the eutrophic nutrient load of Utah Lake. Full article
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