Special Issue "Recent Advances in Analytical and Monitoring Methods for Water Environment Applications"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Dr. Joanna Jaskuła
E-Mail Website
Guest Editor
Department of Land Improvement, Environmental Development and Spatial Management, Poznań University of Life Sciences, Poznań, Poland
Interests: water resources; reservoirs; eutrophication; overgrowth process; heavy metals; geochemistry; GIS; remote sensing
Prof. Dr. Mariusz Sojka
E-Mail Website
Guest Editor
Institute of Land Improvement, Environmental Development and Geodesy, Faculty of Environmental Engineering and Spatial Management, Poznań University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland
Interests: GIS; remote sensing; climate change; multivariate statistical analysis; lake and river water temperature changes; agricultural water management; water chemistry; bottom sediment geochemistry
Special Issues and Collections in MDPI journals
Dr. Rafał Wróżyński
E-Mail Website
Guest Editor
Department of Land Improvement, Environmental Development and Spatial Management, Poznań University of Life Sciences, Poland
Interests: GIS; remote sensing; UAV; water resources; hydrology

Special Issue Information

Dear Colleagues,

Rapid climate changes over the last decades have significantly contributed to the depletion of available water resources and stimulated efforts aimed at the protection of these resources on a global scale. The possibility of using water resources depends mainly on their quality, which is determined by natural and human pressures that affect watersheds. The input of pollutants is strongly influenced by anthropogenic factors, associated primarily with non-point and point sources. High loads of biogenic compounds may result in eutrophication, seasonal algae blooms, and overgrowth processes.

Recent years have brought a great development of techniques and tools for monitoring, modeling, and management of the aquatic environment. Regular field measurements, laboratory works, the newest modeling software, and UAV- or satellite-based data sources provide access to high-resolution results concerning recent and future water environment protection scenarios characterized by low uncertainty.

This Special Issue invites authors to contribute reviews and research papers on monitoring, assessment, and modeling methods and management techniques that can support water environment protection under the impacts of climate change and anthropogenic pressures. Papers may present current status, future challenges, recent techniques, modeling tools, or decision and management actions, both in natural (rivers, lakes) and artificial (reservoirs, irrigation) systems.

The Special Issue aims to publish research results from the following areas:

  • Water environment: current status and future challenges;
  • Improving understanding of impacts, vulnerability, and adaptation to climate change in the water environment;
  • Advanced analytical techniques in water pollutant assessment;
  • Application of remote sensing and GIS in water resource monitoring;
  • Technical and non-technical problems related to reservoir functioning and operation;
  • Modeling of integrated water resource management (river/ lake/reservoir systems);
  • Impact of eutrophication and overgrowth processes on water resources;
  • Modeling of sediment transport and assessment of reservoir and lake silting;
  • Mitigating impacts of anthropogenic pressures on water quality;
  • Assessment of heavy metal concentrations in water and sediments in rivers, reservoirs, and lakes;
  • Influence of extreme climate events (floods, droughts) on water resource management.

Dr. Joanna Jaskuła
Prof. Dr. Mariusz Sojka
Dr. Rafał Wróżyński
Guest Editors

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. Applied Sciences 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 2000 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

  • Water environment
  • Rivers
  • Reservoirs
  • Lakes
  • Hydrological modeling
  • Water quality
  • Eutrophication
  • Overgrowth
  • Heavy metals
  • Sediment accumulation
  • Anthropogenic pressures
  • Drought and floods
  • Sustainable water resource management

Published Papers (2 papers)

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Research

Article
Reconstruction of Ancient Lake after Peat Excavation—A Case Study about Water Quality
Appl. Sci. 2021, 11(9), 4213; https://doi.org/10.3390/app11094213 - 06 May 2021
Cited by 2 | Viewed by 301
Abstract
According to regulations in some European countries, peat is treated as a fossil fuel or soil for mushroom horticulture and its management is subject to the law for mining activities. As a result of the exploitation of peat bogs, the cutaway or pit [...] Read more.
According to regulations in some European countries, peat is treated as a fossil fuel or soil for mushroom horticulture and its management is subject to the law for mining activities. As a result of the exploitation of peat bogs, the cutaway or pit lakes remain, which when properly prepared can be local water resources. Such post-peat water bodies can be used for recreation and they can be particularly important in areas struggling with water deficiency in the rural landscape. Maintaining good water quality in such reservoirs requires a number of preparatory works, including the removal of the remaining organic matter that would rest at the bottom of the new pit lake, affecting the water quality. Studies of water quality and aquatic plant communities in the studied post-peat lake were carried out during the period 2012–2014 in order to determine the changes in water quality and the usefulness of water for cyprinids. Aquatic plant communities identified in the reservoir showed a simplified species composition, characteristic of initial communities, and they occupied small areas in the water and on the banks. It has been shown that water quality parameters of the studied water body were stable and corresponded to thresholds established for cyprinids. Full article
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Article
Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia
Appl. Sci. 2020, 10(23), 8670; https://doi.org/10.3390/app10238670 - 04 Dec 2020
Cited by 3 | Viewed by 654
Abstract
Water resources management in Malaysia has become a crucial issue of concern due to its role in the economic and social development of the country. Kelantan river (Sungai Kelantan) basin is one of the essential catchments as it has a history of flood [...] Read more.
Water resources management in Malaysia has become a crucial issue of concern due to its role in the economic and social development of the country. Kelantan river (Sungai Kelantan) basin is one of the essential catchments as it has a history of flood events. Numerous studies have been conducted in river basin modelling for the prediction of flow and mitigation of flooding events as well as water resource management. This paper presents river flow modelling based on meteorological and weather data in the Sungai Kelantan region using a cascade-forward neural network trained with particle swarm optimization algorithm (CFNNPSO). The result is compared with those trained with the Levenberg–Marquardt (LM) and Bayesian Regularization (BR) algorithm. The outcome of this study indicates that there is a strong correlation between river flow and some meteorological and weather variables (weighted rainfall, average evaporation and temperatures). The correlation scores (R) obtained between the target variable (river flow) and the predictor variables were 0.739, −0.544, and −0.662 for weighted rainfall, evaporation, and temperature, respectively. Additionally, the developed nonlinear multivariable regression model using CFNNPSO produced acceptable prediction accuracy during model testing with the regression coefficient (R2), root mean square error (RMSE), and mean of percentage error (MPE) of 0.88, 191.1 cms and 0.09%, respectively. The reliable result and predictive performance of the model is useful for decision makers during water resource planning and river management. The constructed modelling procedure can be adopted for future applications. Full article
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