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Advancing the Monitoring and Modelling of Freshwater Systems with New Remote Sensing Technologies, 2nd Edition

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: 25 November 2025 | Viewed by 358

Special Issue Editor


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Guest Editor
Global Institute for Water Security, School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK S7N 3H5, Canada
Interests: surface water quality modelling; ice-jam flood hazard mapping; ice-jam flood risk assessment; remote sensing of river ice covers; river ice hydraulic modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the Guest Editor of the second edition of the Special Issue titled "Advancing the Monitoring and Modelling of Freshwater Systems with New Remote Sensing Technologies, 2nd Edition", I welcome you to submit an article highlighting new methodologies and techniques in remote sensing to promote the monitoring and modelling of river, lake and groundwater systems.

Technologies may include space-borne, airborne and near-ground remote sensing platforms to aid in a wide range of river and lake monitoring and modelling applications. The scope of these applications can include, for example, aquatic ecology, habitat, water quality, sediment transport, geomorphology, flood forecasting and ice detection and characterization.

These studies will hopefully promote the exchange of new ideas and forge new collaborations between researchers, academics, engineers and government officials interfacing in the fields of remote sensing and freshwater systems.

Prof. Dr. Karl-Erich Lindenschmidt
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 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

  • airborne remote sensing
  • flood forecasting
  • fluvial geomorphology
  • ice detection
  • ice characterization
  • near-ground remote sensing
  • river and lake modelling
  • river and lake monitoring
  • sediment transport
  • space-borne remote sensing
  • water quality

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Published Papers (1 paper)

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Research

25 pages, 3746 KiB  
Article
Empirical Modelling of Ice-Jam Flood Hazards Along the Mackenzie River in a Changing Climate
by Karl-Erich Lindenschmidt, Sergio Gomez, Jad Saade, Brian Perry and Apurba Das
Water 2025, 17(15), 2288; https://doi.org/10.3390/w17152288 - 1 Aug 2025
Viewed by 269
Abstract
This study introduces a novel methodology for assessing ice-jam flood hazards along river channels. It employs empirical equations that relate non-dimensional ice-jam stage to discharge, enabling the generation of an ensemble of longitudinal profiles of ice-jam backwater levels through Monte-Carlo simulations. These simulations [...] Read more.
This study introduces a novel methodology for assessing ice-jam flood hazards along river channels. It employs empirical equations that relate non-dimensional ice-jam stage to discharge, enabling the generation of an ensemble of longitudinal profiles of ice-jam backwater levels through Monte-Carlo simulations. These simulations produce non-exceedance probability profiles, which indicate the likelihood of various flood levels occurring due to ice jams. The flood levels associated with specific return periods were validated using historical gauge records. The empirical equations require input parameters such as channel width, slope, and thalweg elevation, which were obtained from bathymetric surveys. This approach is applied to assess ice-jam flood hazards by extrapolating data from a gauged reach at Fort Simpson to an ungauged reach at Jean Marie River along the Mackenzie River in Canada’s Northwest Territories. The analysis further suggests that climate change is likely to increase the severity of ice-jam flood hazards in both reaches by the end of the century. This methodology is applicable to other cold-region rivers in Canada and northern Europe, provided similar fluvial geomorphological and hydro-meteorological data are available, making it a valuable tool for ice-jam flood risk assessment in other ungauged areas. Full article
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