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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: closed (31 October 2021) | Viewed by 7481

Special Issue Editors


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Guest Editor
Department of Land Improvement, Environmental Development and Spatial Management, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Piątkowska 94, 60-649 Poznań, Poland
Interests: water resources; reservoirs; eutrophication; overgrowth process; heavy metals; geochemistry; GIS; remote sensing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Land Improvement, Environmental Development and Spatial Management, Poznań University of Life Sciences, Poznań, 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 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. 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 2400 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 (3 papers)

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Research

18 pages, 3944 KiB  
Article
Risk Assessment and Source Apportionment of Heavy Metals in Soils from Handan City
by Haixia Zhang, Angzu Cai, Xiaojian Wang, Litao Wang, Qing Wang, Xiaoqi Wu and Yingqun Ma
Appl. Sci. 2021, 11(20), 9615; https://doi.org/10.3390/app11209615 - 15 Oct 2021
Cited by 15 | Viewed by 1958
Abstract
Soil-heavy metals are potentially harmful to the ecosystem and human health. Quantifying heavy metals sources is conducive to pollution control. In this study, 64 surface-soil samples were collected in Handan city. Cr, Mn, Ni, Cu, Zn, Cd and Pb were determined; then, their [...] Read more.
Soil-heavy metals are potentially harmful to the ecosystem and human health. Quantifying heavy metals sources is conducive to pollution control. In this study, 64 surface-soil samples were collected in Handan city. Cr, Mn, Ni, Cu, Zn, Cd and Pb were determined; then, their spatial distribution in the sampling area was drawn by ArcGIS. The pollution index (PI) method, geo-accumulation index (Igeo) method, Nemerow integrated pollution index (NIPI) and pollution load index (PLI) were used to evaluate the pollution level of heavy metals in surface soil; then, an ecological and health risk assessment of soil-heavy metals was carried out. Combined with the spatial distribution, correlation analysis, cluster analysis, PCA and PMF model, the pollution sources of heavy metals in soil were identified and apportioned. The results showed that the average content of Cd was nearly ten times that of the background limit, which was the most serious among the studied metals. In terms of non-carcinogenic risk, Cr had the highest value, followed by Pb. In terms of carcinogenic risk, Cd, Cr, and Ni had an acceptable or tolerable risk. Three pollution sources were identified by cluster analysis and PCA, including traffic sources with Cu, Pb and Cd as main loads, industrial sources with Mn, Cd and Zn as main loads, and natural sources with Cr and Ni as main loads. The PMF model analyzed three main factors: traffic source (17.61%), natural source (28.62%) and industrial source (53.77%). The source categories and the main load elements obtained from the source apportionment results were consistent with the source identification results. Full article
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13 pages, 1856 KiB  
Article
Reconstruction of Ancient Lake after Peat Excavation—A Case Study about Water Quality
by Ryszard Staniszewski, Przemysław Frankowski, Dariusz Kayzer, Janina Zbierska and Krzysztof Achtenberg
Appl. Sci. 2021, 11(9), 4213; https://doi.org/10.3390/app11094213 - 6 May 2021
Cited by 6 | Viewed by 1935
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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16 pages, 1721 KiB  
Article
Modelling of River Flow Using Particle Swarm Optimized Cascade-Forward Neural Networks: A Case Study of Kelantan River in Malaysia
by Gasim Hayder, Mahmud Iwan Solihin and Hauwa Mohammed Mustafa
Appl. Sci. 2020, 10(23), 8670; https://doi.org/10.3390/app10238670 - 4 Dec 2020
Cited by 18 | Viewed by 2633
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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