Authors:
Attila Kalman National Laboratory for Water Science and Water Security, Széchenyi István University of Győr, Hungary
Department of Transport Infrastructure and Water Resources Engineering, Faculty of Architecture, Civil and Transportation Engineering, Széchenyi István University, Győr, Hungary

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Katalin Bene National Laboratory for Water Science and Water Security, Széchenyi István University of Győr, Hungary
Department of Transport Infrastructure and Water Resources Engineering, Faculty of Architecture, Civil and Transportation Engineering, Széchenyi István University, Győr, Hungary

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Abstract

Climate change manifested its adverse impacts last year, with an extreme drought leading to a drastically low water level in Lake Velence, Hungary. Nature-based solutions have the potential to alleviate these impacts locally. While a few initiatives have been implemented in Hungary, widespread adoption of these solutions is expected to be a goal for the more distant future.

This research focuses on one catchment at Lake Velence to evaluate decision-maker's readiness and urban water management infrastructure for broadly implementing nature-based solutions. Methods include delineating the stormwater system and creating a numerical model to evaluate rainfall-runoff processes and the possible impacts of nature-based retentions. Surveys among local mayors were conducted to assess their perception of existing water infrastructures and implementations of nature-based solutions. Its widespread use may become significant, but its effect on the lake's water level remains negligible.

Abstract

Climate change manifested its adverse impacts last year, with an extreme drought leading to a drastically low water level in Lake Velence, Hungary. Nature-based solutions have the potential to alleviate these impacts locally. While a few initiatives have been implemented in Hungary, widespread adoption of these solutions is expected to be a goal for the more distant future.

This research focuses on one catchment at Lake Velence to evaluate decision-maker's readiness and urban water management infrastructure for broadly implementing nature-based solutions. Methods include delineating the stormwater system and creating a numerical model to evaluate rainfall-runoff processes and the possible impacts of nature-based retentions. Surveys among local mayors were conducted to assess their perception of existing water infrastructures and implementations of nature-based solutions. Its widespread use may become significant, but its effect on the lake's water level remains negligible.

1 Introduction

Extreme drought in 2022 illustrated the adverse effects of climate change in Europe and Hungary. The continent's climate is undergoing perceptible changes in the upcoming years, resulting in more extreme weather events. Trends include longer, more frequent heat waves, drought periods, and sudden, heavy rainfalls with higher peak intensities causing flash floods [1]. Therefore, traditional agriculture, natural ecosystems, wetlands, tourism, and living circumstances will face challenges in the drier summers.

With population growth, gray infrastructures spread [2], and the proportion of green space in the settlements decreased. These trends increase the risk of flash floods, runoff, and drought problems. Without intervention, living spaces, ecosystems, and social environments are degrading. While water management becomes more complex and integrated [3, 4], existing gray infrastructures are not suitable for managing the changing demands [5], but Nature-based Solutions (NbS) can do so [6]. They can reduce the negative effects of climate change and have sustainable, positive effects on biodiversity, water retention, irrigation, and well-being [7, 8].

Lake Velence, in Hungary, has become a heavily modified water body. In the 1960s–70s, extensive infrastructure developments (railway, highway) started in the region. Consequently, it has become a frequented tourist area, recreational destination, and livelihood and home for many. The increased human presence caused significant changes in the shoreline, landscape, and water resources. Gray infrastructures were implemented: beaches, campsites, holiday homes, constructed concrete walls, and ripraps replaced the natural shoreline. Gray urban developments replaced the green, natural land cover. Two reservoirs (Zámoly, Pátka) were built in the upper catchment to regulate the water level in the lake, especially during the dry summer season.

In the 21st century, the region evolved into a suburban hub, attracting numerous residents from nearby majorcities, like Budapest and Székesfehérvár to settle around the lake. The onset of the COVID-19 pandemic expedited this trend, resulting in a notable surge in population and consequential alterations to the landscape and land use. As a result, the runoff changed, exacerbating the problems caused by the current drought. Implementing, NbS is a fitting and effective response to address these emerging water management and resource-related issues. Two surveys were undertaken during the first and fourth quarters of 2022 to gauge the area's current state, evaluate water demand, and ascertain the willingness of local stakeholders to embrace NbS practices.

A stable water level in the lake is important in the region because of its deep integration into everyday life. Unfortunately, the water level has decreased dramatically in recent years, primarily attributed to the impact of climate change and land use alterations. The existing two reservoirs fail to compensate for the missing water [9]. The lake reached a negative low water level record (53 cm on 09.23.2022) since official measurements started [10]. The impact is significant. Besides the economic damages, it also causes severe ecological and social tensions and sustainability barriers for the local population and among stakeholders [11]. The current situation and the water management solutions often represent opposing interests. The paper investigates how stakeholder cooperation, and their more comprehensive knowledge may facilitate water-related developments. Secondly, it investigates the implementation effects of NbS locally and in the catchment.

2 Site description

Lake Velence is located in Hungary (Fig. 1), between 2 major cities: Budapest and Székesfehérvár.

Fig. 1.
Fig. 1.

Catchment of Lake Velence and the investigated sub-catchment (Source: on the basis of [12])

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

The lake has two regulating water levels: the upper is 170 cm, and the lower is 130 cm (Fig. 2 short and long dashed lines). With an average water depth (140 cm), the total water volume is approx. 40 × 106 m3. The rule of thumb is that one million m3 of water volume equals 4 cm of lake water level [13].

Fig. 2.
Fig. 2.

Change of water level between 1935 and 2022 (Source of data: [14])

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

Though water levels fluctuate annually and throughout the year - and the lake even dries out with a frequency of centuries for some years - the 35-year trend is decreasing (dotted line in Fig. 2), especially in the last decade. It has been below the lower regulating level for over three years.

Precipitation plays a substantial role in influencing the water level of Lake Velence. Climate change forecasts suggest that the overall annual precipitation will not decrease; instead, there will be shifts in its distribution patterns. The annual average precipitation in the past 20 years was 537.5 mm (lowest in 2011 with 273.7 mm and highest in 2010 with 888.6 mm) with total of 319.6 mm average in 2nd (Q2) and 3rd (Q3) quarters [15]. The rising average annual temperature is leading to increased evaporation from the lake, presenting a negative impact. According to climate models, there is a forecasted 8% rise in evaporation by the mid-21st century compared to the period between 2000 and 2020. The increase in evaporation results in an annual decrease of 7 cm in water level. Consequently, a comprehensive, integrated water management approach at the catchment scale becomes critically important.

The catchment can be divided into three sub-catchments [16]. This paper focuses on the sub-catchment of the Vereb-Pázmánd water flow shown in Fig. 1. This area is 43 km2, located near the lake with a direct shore connection. It includes three settlements (Pákozd, Sukoró, Nadap) on the northern hilly shoreside of Lake Velence. Contrary to the declining national population trends (−7% since 1990), the population has grown rapidly in all three settlements and has almost doubled (+88.25%) in the past 30 years [17].

The shifting population dynamics and evolving land use patterns introduce new water-related tasks and challenges. In a small catchment like Lake Velence and in an even smaller sub-catchment like Vereb-Pázmánd, where water deficit is a concern, it is crucial to scrutinize the interaction of water interventions and retention effects at the local, settlement, and catchment scales. Moreover, the impact of climate change renders existing gray infrastructures inadequate for their intended purposes, for example the flash floods and the heat island effect. Addressing these challenges necessitates collaborative efforts across various sectors and stakeholders, including agriculture, tourism, small businesses, forestry, and fishing [18, 19].

3 Methods

This study intends to investigate the possible willingness and effects of implementing NbS in the sub-catchment of Lake Velence. NbS methods – e.g., retention tank, wet pond, retention pond – are sustainable and can provide appropriate, resilient responses [20] by increasing retention capacities and reducing surface runoff [21] in changing circumstances and demands [22].

3.1 Social awareness

Water management problems typically involve diverse stakeholders, many of whom may have limited awareness of global progress [23] and water retention measures. Extensive education and intense social participation [24] are necessary to reduce knowledge gaps and conflicts among stakeholders from the highest decision-making levels to the lowest [2526]. Using NbS to mitigate climate change effects will not be effective and sustainable without local stakeholders' collaboration and local government coordination [27, 28].

This research focuses on tracking the evolving willingness to implement NbS in response to increasing awareness. Additionally, it examines the potential water retention effects that their future implementation might have on the lake's water level. The method applied in the study is shown in Fig. 3.

Fig. 3.
Fig. 3.

Method to evaluate social impact in the study

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

Two questionnaires investigate the support and spread of NbS in three settlements of a sub-catchment with direct runoff (Fig. 1). The surveys were conducted among municipal majors in February 2022 and September-October 2022. Both surveys contained multiple-choice and explanatory questions, details are summarized in Table 1.

Table 1.

Summary of conducted surveys among mayors in the sub-catchment

Time of surveyQuestions in the survey.Request method and repetition.Approached settlements.
February 20228 explanatory & 12 multiple-choice questions (true-false or with max. 5 answers).First invitation and request sent by e-mail.

A repeated e-mail request was sent after 2 weeks.
11 settlements in the catchment close to the boundary or physically close to the lake.
September-October 202216 explanatory & 43 multiple-choice questions (true-false or with given answers).First invitation and request sent by e-mail.

A repeated request during a personal inquiry and visits.
14 settlements in the catchment, only the northern “karts” region was left out.

The surveys focused on water-related issues. Questions can be grouped into 7 main topics, as it is shown in Fig. 4. The primary topics were similar within the two surveys, but the questions were more detailed in the latter one. A new topic was added to the second questionnaire: public and stakeholder involvement.

Fig. 4.
Fig. 4.

Main topics of the questionnaires and the number of related questions (Source: Author)

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

The authors developed a method to quantify the REtention Readiness (RER) of NbS. RER can estimate possible NbS projects and their sizes for the upcoming years in a region and quantify the subjective and objective background of the investigated settlements using the questionnaire result. Eq. (1) uses the results of the surveys to calculate RER,
RER=i=13IWi·FIOi,

Implementation Willingness (IW) is determined based on the surveys' normalized weighted average (1-5 scale) responses among mayors. The Financial-Infrastructural Opportunity (FIO) ratio is between 0 and 100% and is calculated from the available financial resources and present infrastructural status and opportunities. RER is a ratio between 0 and 100%, depending on the IW of the private and public sectors.

3.2 Water retention

Besides retention readiness, another influencing factor of NbS implementation is the available rainwater for retention. Due to steep hills near the lake's shore, water directly runs off into the lake from this area. Utilizing NbS decreases catchment's runoff and inflow to the lake, which could influence the lake's water level. Despite not implementing NbS for water retention, the lake's water level became exceptionally low in 2022.

Landscape and land use have undergone severe transformation in the past decades because of rapid population growth and infrastructure developments financed by the Hungarian Settlement Development Operative programs [29]. Many of these new infrastructures are not updated on the maps yet. Therefore, the available rainwater harvesting surface areas were estimated by a combined methodology. The road and sidewalk network surfaces and the buildings' roof surfaces were estimated in the three settlements of the highlighted sub-catchment using digital maps and local measurements. The surfaces were categorized into four groups:

  1. Public streets, main roads, and sidewalks;

  2. Private sidewalks and parking lots;

  3. Houses' and public buildings' roofs;

  4. Vineyard, backyard farming, small gardens.

For public surfaces, Quantum Geographic Information System (QGIS)-3.28.2-Firenze [30], Google Earth-9.177.0 [31] and e-kozmu [32] were used to measure street and road lengths and roof areas. The surface and pavement areas and the width measurements of roads and sidewalks were revised during the on-site visits.

The roof areas of buildings were also verified during on-site visits, and the necessary modifications were performed accordingly. Due to inaccurate databases, a safety Error Factor (ER) was implemented for roads, streets, and road-drainage surfaces. Based on random measurements, road drainage surfaces were modified by 10%, while roof surfaces were modified by 15%.

The Estimated Retention Volume (ERV) calculation was developed during the research to consider two pillars of the sustainable development goals: environmental and social. The environmental pillar is based on the rational method, and RER is based Eq. (1). ERV can be calculated:
ERV=i=13Ai·Ci·pest,x·ERi·RER,
where Ci is the runoff coefficients; Ai is the surface areas; pest is the annual average precipitation. For public and private roads and sidewalks Cr,s was set uniformly to 0.9, while for roof surfaces Croof was set to 0.8. For gardening and vineyard surfaces Cagr was 0.2. The ER was determined by half a dozen random measurements in each settlement and the value was rounded up to 5.

4 Results

4.1 Survey

The increased attention and media coverage caused by the extreme summer drought in 2022 also showed how awareness could change the attitude of decision-makers. Despite a little over six months between the surveys conducted by the authors, there was a notable shift in the overall atmosphere. The majority of mayors - even under the burden of post-covid recovery and challenging energy bills - became supportive and interested in the topic. The responsiveness - the willingness to respond increased - even with a much longer questionnaire (Table 2).

Table 2.

Responsivity rate of the questionnaire surveys

Time of surveyResponsive settlements
February 2022A total of 4 questionnaires were completed, which is a 36% response rate.
September–October 2022A total of 7 questionnaires were completed, which is a 50% response rate.

Water and NbS-related awareness significantly increased resulting in more diverse project ideas and water related development suggestions (Fig. 5).

Fig. 5.
Fig. 5.

Attitude change toward water-related issues among mayors from spring to fall in 2022 (Source: Author)

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

Basic infrastructure development demands (drinking water, sewage) hardly changed, but projects related to NbS, wetlands, and ecological developments have tripled in number from spring to fall (from 4 projects in Spring to 12 projects in Fall).

4.2 Assessment of the influence of NbS measures

The retention of rainwater for irrigation purposes in settlements is becoming more and more prominent with climate change. The maximum retainable water from the watershed was calculated, and the impact of different retention efficiencies on the lake's water level was evaluated.

There are various ways to collect and retain rainwater; the most common surfaces: public roads, sidewalks, roofs of buildings, cultivated-uncultivated areas, and parking lots. Determine the retainable volume, ERV, Eq. (2) was used. The calculated surface areas in the settlements are shown in Table 3.

Table 3.

Calculated surface areas in the settlements for water collection for retention (the total for sub-catchment highlighted)

Pákozd (m2)Sukoró (m2)Nadap (m2)Total (m2)
Public streets, main roads, and sidewalks (surface)152.753131.37836.074320.195
Private sidewalks and parking lots (surface)43.45123.1129.87576.438
Houses and public buildings' roofs (surface)186.21999.04942.323327.591
Vineyard, small gardens, backyard farming (surface)18.0008.00022.00048.000
Total772.224

To determine RER, IW and FIO were uniformly set to 1 in Eq. (1), meaning all conditions are assured ideal (e.g., financial resources, orderly property relations); therefore, the RER value is 1.

The average annual rainfall of the past 20 years was used to determine rainfall volumes. It was assumed that no losses occur; all rainwater creates runoff. The calculated rainfall without the 5 mm daily threshold was pest,0 = 537.5 mm. In a second scenario, only events with daily rainfall exceeding 5 mm were considered, resulting in a rainfall volume of pest,5 = 409.8 mm. Using Eq. (2), rainwater volume (ERV) was calculated for the two rainfall scenarios (Table 4).

Table 4.

Maximum retainable volume in case of ideal RER (RER = 1), theoretical maximum highlighted

Ai (m2)CiERiERV; pest,0 (m3)ERV; pest,5 (m3)
Public streets, main roads, and sidewalks320.1950.90.90139.405106.285
Private sidewalks and parking lots76.4380.90.9033.27925.373
Houses and public buildings' roofs327.5910.80.85119.73591.288
Vineyard, backyard farming, small gardens48.0000.21.005.1603.934
Total772.224297.579226.880

Depending on the local willingness and available financial and infrastructural background, the rainwater retention ratio may impact the lake's water level through reduced inflow. RER was varied between 0 and 100% to investigate the effects and impacts of different water retention ratios in NbS on the lake water level. The possible retention with RER = 1 is approx. 3 × 105 m3, equivalent to 1.2 cm lake water level (Fig. 6).

Fig. 6.
Fig. 6.

The effects of different water retention rates on the lake's water level (Source: Author)

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

The concrete retention effect of NbS varies when RER changes. For example, 5% retention means less than a 1 mm annual lake water deficit. Based on the survey results, implementing the planned NbS in the future retains approx. 25% of retainable rainwater. This results in an approximate annual water level deficit of 3 mm in the lake, which can be considered negligible.

The water retention capacity of feasible NbS was initially estimated to be 30,000 m3 per year during the first survey. This included swales, rain gardens, infiltration basins, and small private rainwater tanks. Following the extreme drought in 2022, the project ideas multiplied, leading to a revised planned ERV of 80,000 m3 annually. Figure 7 illustrates this change over the period between the two surveys.

Fig. 7.
Fig. 7.

Future effects of NbS′ measures based on calculated ERV (Source: Author)

Citation: Pollack Periodica 19, 3; 10.1556/606.2024.00814

Compared to the initial survey, additional NbS measures introduced in settlements include retention ponds, rainwater harvesting, infiltration trenches, and peripheral solutions like detention and retention ponds. While concrete measures have been limited so far, the growing willingness and awareness and upcoming national and European Union grants are expected to drive these developments in the next decade.

Consequently, the retention ratio and stored rainwater volume for irrigation purposes are anticipated to increase in the hilly areas. This heightened retention may lead to a reduced inflow from the catchment to Lake Velence. However, it is expected to foster more diverse local ecosystems and enhance plantation yield. The long-term impact on Lake Velence's water level remains uncertain, but the positive effects of these local NbS initiatives in the hilly settlements are projected to outweigh the negative impact of the annual ∼3 mm decrease in lake water level.

To effectively adapt to these changes, integrated water management and catchment-scale modeling will be essential. These approaches aim to ensure water resources' sustainability and mitigate climate change's adverse effects on stakeholders.

5 Conclusion

Catchment-scale integrated water management is increasingly crucial for mitigating the adverse effects of climate change on Lake Velence, which has been experiencing a water deficit for several years, leading to record low water levels due to extreme weather events. The widespread implementation of NbS for water retention may influence the lake's water budget and level. While the annual 0.2–0.3 cm decrease might be imperceptible, the locally retained rainwater enhances living conditions, bolsters vegetation water supply in settlements, and fosters a more favorable microclimate.

Extreme weather conditions caused by climate change may affect this negatively. The increased water volume on-site improves local water security and positively influences the water supply of small gardens and vineyards. Given the low probability of negative consequences from nature-based solutions, their impact appears more advantageous to the entire catchment than detrimental to the lake. Lower water levels, beneficial for the lake's ecology, prompt the need to investigate their extent and impact on tourism in waterfront settlements. To better understand the economic and non-economic effects of NbS methods and their correlation with water levels, a more precise estimation, increased stakeholder involvement, and heightened social awareness are essential.

Acknowledgement

Authors cordially thank the permissions to use the data of Central-Transdanubian Water Directorate [14] known as KDTVÍZIG. The research presented was carried out within the framework of the Széchenyi Plan Plus program with the support of the RRF 2.3.1 21 2022 00008 projects.

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Senior editors

Editor(s)-in-Chief: Iványi, Amália

Editor(s)-in-Chief: Iványi, Péter

 

Scientific Secretary

Miklós M. Iványi

Editorial Board

  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
  • Radu Bancila (Department of Geotechnical Engineering and Terrestrial Communications Ways, Faculty of Civil Engineering and Architecture, “Politehnica” University Timisoara, Romania)
  • Charalambos C. Baniotopolous (Department of Civil Engineering, Chair of Sustainable Energy Systems, Director of Resilience Centre, School of Engineering, University of Birmingham, U.K.)
  • Oszkar Biro (Graz University of Technology, Institute of Fundamentals and Theory in Electrical Engineering, Austria)
  • Ágnes Borsos (Institute of Architecture, Department of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Matteo Bruggi (Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Italy)
  • Petra Bujňáková (Department of Structures and Bridges, Faculty of Civil Engineering, University of Žilina, Slovakia)
  • Anikó Borbála Csébfalvi (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Mirjana S. Devetaković (Faculty of Architecture, University of Belgrade, Serbia)
  • Szabolcs Fischer (Department of Transport Infrastructure and Water Resources Engineering, Faculty of Architerture, Civil Engineering and Transport Sciences Széchenyi István University, Győr, Hungary)
  • Radomir Folic (Department of Civil Engineering, Faculty of Technical Sciences, University of Novi Sad Serbia)
  • Jana Frankovská (Department of Geotechnics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • János Gyergyák (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Kay Hameyer (Chair in Electromagnetic Energy Conversion, Institute of Electrical Machines, Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Germany)
  • Elena Helerea (Dept. of Electrical Engineering and Applied Physics, Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, Romania)
  • Ákos Hutter (Department of Architecture and Urban Planning, Institute of Architecture, Faculty of Engineering and Information Technolgy, University of Pécs, Hungary)
  • Károly Jármai (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Teuta Jashari-Kajtazi (Department of Architecture, Faculty of Civil Engineering and Architecture, University of Prishtina, Kosovo)
  • Róbert Kersner (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Rita Kiss  (Biomechanical Cooperation Center, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary)
  • István Kistelegdi  (Department of Building Structures and Energy Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Stanislav Kmeť (President of University Science Park TECHNICOM, Technical University of Kosice, Slovakia)
  • Imre Kocsis  (Department of Basic Engineering Research, Faculty of Engineering, University of Debrecen, Hungary)
  • László T. Kóczy (Department of Information Sciences, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, University of Győr, Hungary)
  • Dražan Kozak (Faculty of Mechanical Engineering, Josip Juraj Strossmayer University of Osijek, Croatia)
  • György L. Kovács (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Balázs Géza Kövesdi (Department of Structural Engineering, Faculty of Civil Engineering, Budapest University of Engineering and Economics, Budapest, Hungary)
  • Tomáš Krejčí (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Jaroslav Kruis (Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic)
  • Miklós Kuczmann (Department of Automations, Faculty of Mechanical Engineering, Informatics and Electrical Engineering, Széchenyi István University, Győr, Hungary)
  • Tibor Kukai (Department of Engineering Studies, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Maria Jesus Lamela-Rey (Departamento de Construcción e Ingeniería de Fabricación, University of Oviedo, Spain)
  • János Lógó  (Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics, Hungary)
  • Carmen Mihaela Lungoci (Faculty of Electrical Engineering and Computer Science, Universitatea Transilvania Brasov, Romania)
  • Frédéric Magoulés (Department of Mathematics and Informatics for Complex Systems, Centrale Supélec, Université Paris Saclay, France)
  • Gabriella Medvegy (Department of Interior, Applied and Creative Design, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Tamás Molnár (Department of Visual Studies, Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Ferenc Orbán (Department of Mechanical Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Zoltán Orbán (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Dmitrii Rachinskii (Department of Mathematical Sciences, The University of Texas at Dallas, Texas, USA)
  • Chro Radha (Chro Ali Hamaradha) (Sulaimani Polytechnic University, Technical College of Engineering, Department of City Planning, Kurdistan Region, Iraq)
  • Maurizio Repetto (Department of Energy “Galileo Ferraris”, Politecnico di Torino, Italy)
  • Zoltán Sári (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Grzegorz Sierpiński (Department of Transport Systems and Traffic Engineering, Faculty of Transport, Silesian University of Technology, Katowice, Poland)
  • Zoltán Siménfalvi (Institute of Energy and Chemical Machinery, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Hungary)
  • Andrej Šoltész (Department of Hydrology, Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia)
  • Zsolt Szabó (Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Hungary)
  • Mykola Sysyn (Chair of Planning and Design of Railway Infrastructure, Institute of Railway Systems and Public Transport, Technical University of Dresden, Germany)
  • András Timár (Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Barry H. V. Topping (Heriot-Watt University, UK, Faculty of Engineering and Information Technology, University of Pécs, Hungary)

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2023  
Scopus  
CiteScore 1.5
CiteScore rank Q3 (Civil and Structural Engineering)
SNIP 0.849
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2023  
Scopus  
CiteScore 1.5
CiteScore rank Q3 (Civil and Structural Engineering)
SNIP 0.849
Scimago  
SJR index 0.288
SJR Q rank Q3

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