Special Issue "Hydroinformatic Tools and Spatial Analysis in Water Resources and Water Extreme Events Study"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (20 July 2022) | Viewed by 4434
The potential papers would be selected from the presenting manuscripts from the 14th International Conference Air and Water - components of environment, which will be held on 18-20 March 2022, Cluj-Napoca, Romania.

Special Issue Editors

Prof. Dr. Daniel Dunea
E-Mail Website
Guest Editor
Faculty of Environmental Engineering and Food Science, Valahia University of Târgoviste, 130004 Dambovita, Romania
Interests: environmental monitoring; crop ecophysiology; crop growth modelling; climate change impact; geospatial analysis; remote sensing
Special Issues, Collections and Topics in MDPI journals
Dr. Gheorghe Şerban
E-Mail Website
Guest Editor
Physical and Technical Geography Department, Faculty of Geography, Babeş-Bolyai University, 400000 Cluj-Napoca, Romania
Interests: reservoirs; hydrological hazards and risks; G.I.S. & hydroinformatics; UAV/UAS; geospatial analysis
Dr. Petre Brețcan
E-Mail Website
Guest Editor
Department of Geography, Faculty of Humanities, Valahia University of Târgoviste, 130105 Dambovita, Romania
Interests: limnology; wetlands; water quality; geospatial analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

An increase in the volume of data accumulated from hydrological stations combined with the information provided from remote sensing is a challenge but also an opportunity for the scientific community. Hydroinformatics research using different techniques of selection, processing, and visualization of data using modern analytical tools is the solution for understanding the dynamics, trends, and uncertainties of different hydrological processes and parameters.

Also, in the context of global climate change, atypical and dangerous weather episodes with high intensities have been recorded in various parts of the world in the recent past years. The negative effects of the dangerous hydro-meteorological processes were amplified by the massive deforestation, which has conducted to quick accumulations of the stream-flow on the slopes determining excessive soil erosion, landslides, and significant alluvial materials transport in streams or arable lands. All hydrological processes are accentuated by anthropogenetic influence, whether we are talking about the phases of runoff (floods/drying of rivers), physicochemical or biological parameters of water.   

The information on the timing and magnitude of floods/water shortage are required in many practical applications of water resources engineering for local, seasonal and regional frequency analyses required in engineering design, reservoir management, and operation of water infrastructure.

The special issue is focusing on the assessment of various hydroinformatic tools and associated case studies useful for establishing trends of the intensity of annual extreme hydrological flow process but also to different hydrological parameters in basins ranging from medium to large scale. The evaluation of the impact of climate change and human-induced environmental changes on water resources in the watershed is also envisaged looking for studies using long-term hydro-meteorological time series. Furthermore, the evaluation of the performance of models and trend detection algorithms is welcomed. Nevertheless, the application of the hydroinformatic tools in planning water resources strategies and policies fits within the scope of the special issue.

The potential papers would be selected from the presenting manuscripts from the 14th International Conference Air and Water - components of environment, which will be held on 18-20 March 2022, Cluj-Napoca, Romania.

We look forward to receiving your manuscripts.

Prof. Dr. Daniel Dunea
Dr. Gheorghe Şerban
Dr. Petre Brețcan
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. 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 2200 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 modeling
  • flash flood modeling
  • climate change impact on water resources and hydrological events
  • remote sensing for water resources and hydrological events
  • trend estimator
  • anthropogenic impact on water resources
  • geospatial analysis

Published Papers (4 papers)

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Research

Article
Analysis of Surface Water Quality and Sediments Content on Danube Basin in Djerdap-Iron Gate Protected Areas
Water 2022, 14(19), 2991; https://doi.org/10.3390/w14192991 - 23 Sep 2022
Viewed by 469
Abstract
As water is essential to life and is an indispensable resource for ecosystems and their services and for nearly all human activities, the goal of this research was to evaluate the surface water quality of the Danube as it passes through the Romania–Serbia [...] Read more.
As water is essential to life and is an indispensable resource for ecosystems and their services and for nearly all human activities, the goal of this research was to evaluate the surface water quality of the Danube as it passes through the Romania–Serbia border in the nature reservations Djerdap and Iron Gate. The study aimed to assess the oxygen regime, nutrients and heavy metals contamination of the surface waters of the Danube on a length of about 240 km, between Bazias and Iron Gate II. Reference sampling and analytical methods (UV-VIS and AAS) were deployed to reach this goal. In addition, sediments were analyzed through back scattered SEM-EDAX for the elemental analysis of the sediment surface. Results obtained show a low environmental impact of heavy metals, while the Danube’s oxygen regime is under stress due to nutrients’ (nitrites and orthophosphates) significant concentration in the Danube surface water in the analyzed sector. Our approach can be applied to other water bodies in the area, to increase available scientific data together with societal awareness of the Danube’s environmental risks. Full article
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Article
Spatial Frequency Analysis by Adopting Regional Analysis with Radar Rainfall in Taiwan
Water 2022, 14(17), 2710; https://doi.org/10.3390/w14172710 - 31 Aug 2022
Viewed by 563
Abstract
This study proposed a spatially and temporally improving methodology adopting the Regional Frequency Analysis with an L-moments approach to estimate rainfall quantiles from 22,787 grids of radar rainfall in Taiwan for a 24-h duration. Due to limited radar coverage in the eastern region, [...] Read more.
This study proposed a spatially and temporally improving methodology adopting the Regional Frequency Analysis with an L-moments approach to estimate rainfall quantiles from 22,787 grids of radar rainfall in Taiwan for a 24-h duration. Due to limited radar coverage in the eastern region, significant discordant grids were found in the coastal area of the eastern region. A total of 171 grids with Di > 6 were set as discordant grids and removed for further analysis. A K-means cluster analysis using scaled at-site characteristics was used to group the QPESUMS grids in Taiwan into 22 clusters/sub-regions based on their characteristics. Spatially, homogeneous subregions with QPESUMS data produce more detailed homogeneous subregions with clear and continuous boundaries, especially in the mountain range area where the number of rain stations is still very limited. According to the results of z-values and L-moment ratio diagrams, the Wakeby (WAK), Generalized Extreme Value (GEV), and Generalized Pareto (GPA) distributions of rainfall extremes fitted well for the majority of subregions. The Wakeby distribution was the dominant best-fitted distribution, especially in the central and eastern regions. The east of the northern part and southern part of Taiwan had the highest extreme rainfall especially for a 100-year return period with an extreme value of more than 1200 mm/day. Both areas were frequently struck by typhoons. By using grid-based (at-site) as the basis for assessing regional frequency analysis, the results show that the regional approach in determining extreme rainfall is very suitable for large-scale applications and even better for smaller scales such as watershed areas. The spatial investigation was performed by establishing regions of interest in small subregions across the northern part. It showed that regionalization was correct and consistent. Full article
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Article
Automated versus Manual Mapping of Gravel Pit Lakes from South-Eastern Romania for Detailed Morphometry and Vegetation
Water 2022, 14(12), 1858; https://doi.org/10.3390/w14121858 - 09 Jun 2022
Viewed by 1148
Abstract
In recent years, the accelerated development of the remote sensing domain and the improvement of the resolution and frequency of satellite images allowed the increase in the accuracy of the evaluation of morphometric characteristics and the spatiotemporal distribution of pit lakes, including the [...] Read more.
In recent years, the accelerated development of the remote sensing domain and the improvement of the resolution and frequency of satellite images allowed the increase in the accuracy of the evaluation of morphometric characteristics and the spatiotemporal distribution of pit lakes, including the small ones. Our study quantitatively analyzes small-scale pit lakes in the piedmont and subsidence plains from contact with the Getic and Curvature Subcarpathians from Romania using the normalized difference water index (NDWI) and data series, with different resolutions, from Landsat 8, Google Earth, and Sentinel 2A. The problems encountered in extracting the contours of the gravel pit lakes were determined by the different resolution of the images, the uneven quality of the images exported from Google Earth, and an additional challenge was given by the diversity of the analyzed land surfaces, the land use, and the optical properties of the lakes. A comparison of the obtained NDWI values using data series from Sentinel 2A and Landsat 8 highlighted the importance of resolution and also showed a larger spectral difference between the identified water bodies and the surrounding land in favor of Sentinel 2A. Regarding the vegetation-derived indices, superior leaf area index (1.8–3) was recorded in low-lying plains and mixed areas (tall shrubs, wetlands, etc.) because the river banks have increased moisture that supports taller species with denser foliage and the sparsely vegetated areas are located in agricultural crops and in/near villages. Changes in vegetation richness and abundance can be spatiotemporally monitored using indices derived from the spectral bands of satellite imagery. Full article
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Article
Machine Learning and Remote Sensing Application for Extreme Climate Evaluation: Example of Flood Susceptibility in the Hue Province, Central Vietnam Region
Water 2022, 14(10), 1617; https://doi.org/10.3390/w14101617 - 18 May 2022
Cited by 3 | Viewed by 1215
Abstract
Floods are the most frequent natural hazard globally and incidences have been increasing in recent years as a result of human activity and global warming, making significant impacts on people’s livelihoods and wider socio-economic activities. In terms of the management of the environment [...] Read more.
Floods are the most frequent natural hazard globally and incidences have been increasing in recent years as a result of human activity and global warming, making significant impacts on people’s livelihoods and wider socio-economic activities. In terms of the management of the environment and water resources, precise identification is required of areas susceptible to flooding to support planners in implementing effective prevention strategies. The objective of this study is to develop a novel hybrid approach based on Bald Eagle Search (BES), Support Vector Machine (SVM), Random Forest (RF), Bagging (BA) and Multi-Layer Perceptron (MLP) to generate a flood susceptibility map in Thua Thien Hue province, Vietnam. In total, 1621 flood points and 14 predictor variables were used in this study. These data were divided into 60% for model training, 20% for model validation and 20% for testing. In addition, various statistical indices were used to evaluate the performance of the model, such as Root Mean Square Error (RMSE), Receiver Operation Characteristics (ROC), and Mean Absolute Error (MAE). The results show that BES, for the first time, successfully improved the performance of individual models in building a flood susceptibility map in Thua Thien Hue, Vietnam, namely SVM, RF, BA and MLP, with high accuracy (AUC > 0.9). Among the models proposed, BA-BES was most effective with AUC = 0.998, followed by RF-BES (AUC = 0.998), MLP-BES (AUC = 0.998), and SVM-BES (AUC = 0.99). The findings of this research can support the decisions of local and regional authorities in Vietnam and other countries regarding the construction of appropriate strategies to reduce damage to property and human life, particularly in the context of climate change. Full article
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