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Applied Sciences
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Novel Approaches for Water Resources Assessment
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Novel Approaches for Water Resources Assessment

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

Deadline for manuscript submissions: 31 July 2025 | Viewed by 2643

Special Issue Editors

Dr. Ilinca Cornel

E-Mail Website
Guest Editor
Faculty of Hydrotechnics, Technical University of Civil Engineering Bucharest, Lacul Tei, Nr. 122-124, 020396 Bucharest, Romania
Interests: hydrology; water resources engineering; land system science; structural engineering
Dr. Negisa Darajeh

E-Mail Website
Guest Editor
Aurecon, Land and Water Team, 110 Carlton Gore Road, Newmarket, Auckland 1023, New Zealand
Interests: sustainable development; energy conservation; green technologies; climate change; renewable energy sources; water pollution; water management; water treatment technologies; wastewater treatment; water reuse; biofiltration; carbon footprint; eco-friendly solutions; water purification; environmental impact assessment
Special Issues, Collections and Topics in MDPI journals
Dr. Shahabaldin Rezania

grade E-Mail Website
Guest Editor
Department of Environment and Energy, Sejong University, Seoul 05006, Republic of Korea
Interests: heterogeneous catalysts; bio-technology; fermentation; biofuel and bio energies; biomass conversion; waste management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

An increasing number of global challenges, including climate change, quality of life, and industrial development, require the sustainable use of water resources. The assessment of water resources requires accurate and innovative methods to guarantee the quantity and quality of water for population, agriculture, industrial activities, and other purposes.

This Special Issue invites manuscripts that explore novel methodologies and technologies in the assessment of water resources. Topics of interest include, but are not limited to, machine learning applications, statistical modeling, integrated water resource management models, innovative hydrological approaches, and multi-disciplinary approaches.

The contributions to this Special Issue aim to develop solutions to the problems of water resource assessment to ensure sustainable management, address the challenges related to water scarcity, pollution, and climate change, and consider the legislative measures implemented, such as ecological flow and more.

These are some suggested topics for this Special Issue; however, they are not exhaustive:

  • Hydrological monitoring and modeling;
  • Water demand and usage evaluation;
  • Water risks and impact assessment (drought, flood, seasonal variations, groundwater depletion, contamination of freshwater sources);
  • Climate change impact assessment;
  • Integrated water resource management;
  • Circular economy in water management;
  • Machine and deep learning;
  • Multivariate analysis.

Dr. Ilinca Cornel
Dr. Negisa Darajeh
Dr. Shahabaldin Rezania
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 resources engineering
  • water management
  • water footprint
  • hydrology
  • hydroscience
  • hydroenergy
  • ecohydrology
  • computational methods in water resources
  • hydrological and hydrometeorological modeling
  • machine learning approaches
  • statistical modeling
  • probabilistic approach
  • extreme events

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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23 pages, 2454 KiB  
Article
Water Quality Monitoring: A Water Quality Dataset from an On-Site Study in Macao
by Jiawei Gao, Bochao Chen and Su-Kit Tang
Appl. Sci. 2025, 15(8), 4130; https://doi.org/10.3390/app15084130 - 9 Apr 2025
Viewed by 280
Abstract
The Building Safe Water Use Plan promoted by the Macao Marine and Water Bureau aims to encourage property management entities to regularly maintain building water supply systems to ensure the safety and stability of drinking water. However, traditional laboratory testing methods are often [...] Read more.
The Building Safe Water Use Plan promoted by the Macao Marine and Water Bureau aims to encourage property management entities to regularly maintain building water supply systems to ensure the safety and stability of drinking water. However, traditional laboratory testing methods are often time-consuming and labor-intensive, making real-time and efficient water quality monitoring challenging. To address this issue, this study proposes a Raspberry Pi-based multi-sensor system for rapid water quality detection and improved monitoring efficiency. This system integrates multiple sensors to measure key water quality parameters, such as pH, total dissolved solids (TDSs), temperature, and turbidity, while recording data in real-time. The data were continuously collected over a period of five months (July to November 2024). The collected data were analyzed and validated using machine learning algorithms, including Isolation Forest, Random Forest, Logistic Regression, and Local Outlier Factor. Among these models, Random Forest exhibited the best overall performance, achieving an accuracy of 98.10% and an F1 score of 98.99%. These results show that the dataset demonstrates high reliability in anomaly detection and classification tasks, accurately identifying deviations in water quality. This approach not only enhances the efficiency of water quality monitoring but also provides technological support for urban drinking water safety management. Full article
(This article belongs to the Special Issue Novel Approaches for Water Resources Assessment)
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Other

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16 pages, 5617 KiB  
Case Report
A Practical Approach on Reducing the Flood Impact: A Case Study from Romania
by Nicolae-Cristian Popescu and Alina Bărbulescu
Appl. Sci. 2024, 14(22), 10378; https://doi.org/10.3390/app142210378 - 11 Nov 2024
Viewed by 1172
Abstract
Recently, the frequency and intensity of extreme weather events have increased in many regions worldwide. Among them, floods, whose effects are devastating in many cases, have been recorded in Romania in the last few years. Built to reduce the flooding effects on the [...] Read more.
Recently, the frequency and intensity of extreme weather events have increased in many regions worldwide. Among them, floods, whose effects are devastating in many cases, have been recorded in Romania in the last few years. Built to reduce the flooding effects on the communities, structures such as embankments can sometimes accentuate the hazard. This article investigates such a situation and proposes solutions to reduce or even eliminate the flood impact on the community living in the Vărbilău Catchment in Romania. Recorded data series, field observations, GIS techniques, and hydraulic modeling were used to design the hazard maps and perform the 3D representations that illustrate the actual situation (when the small opening of the bridge favors the flooding) and the proposed solutions (extending the bridge opening and shortening the embankment). It is shown that adding seven pillars to the bridge would reduce the flooded surface by more than 1.5 times and the affected buildings’ surface by more than 3.5 times compared to the current situation. Full article
(This article belongs to the Special Issue Novel Approaches for Water Resources Assessment)
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