@article{MTMT:34801314, title = {A klímaaggodalmak és környezetbarát viselkedés kapcsolatának és jellemzőinek feltárása Debrecenben}, url = {https://m2.mtmt.hu/api/publication/34801314}, author = {Kiss, Emőke and Mester, Tamás and Balla, Dániel}, journal-iso = {TERÜLETI STATISZTIKA}, journal = {TERÜLETI STATISZTIKA}, unique-id = {34801314}, issn = {0018-7828}, abstract = {A klímaváltozás kihívásainak és alkalmazkodási lehetőségeinek elemzésekor a klímaaggodalmak és a környezetbarát viselkedés kapcsolatának kérdésköre is gyakran felvetődik. A 2020-ban kitört COVID-19 világjárvány elterelte az emberek figyelmét a klímaváltozásról, így a lakosság klímaaggodalmainak feltárása nagyon fontossá vált ebben az időszakban. Kutatásunkban mintaterületként egy kelet-közép-európai várost, Magyarország második legnépesebb települését, Debrecent, Hajdú-Bihar vármegyeszékhelyét választottuk. Munkánk során kérdőíves felmérést végeztünk 2020-ban a lakosok körében (N=200). Tanulmányunk fő célja a klímaaggodalmak és a környezetbarát viselkedés kapcsolatának vizsgálata és feltárása volt. A klímaaggodalom, a környezetbarát viselkedés és a kiválasztott prediktorok közötti kapcsolat szorosságát, erősségét és intenzitását korrelációelemzéssel vizsgáltuk, a regresszióelemzés a kiválasztott változók hatását és kapcsolatát vizsgálta. Kimutattuk, hogy a lakosok Klímaaggodalom Indexe (KAI) és Környezetbarát Viselkedés Indexe (KVI) magas. Kutatásunkban a korrelációelemzés egyik legfontosabb eredménye, hogy a KAI és KVI között egyáltalán nem találtunk szignifikáns kapcsolatot, tehát a kettő nem függött össze mintánkban. Másik fontos eredményük, hogy a KVI és a Kockázatérzékelés Indexek (KI) között sem mutatható ki szignifikáns kapcsolat, ugyanakkor a KAI és a KI között szignifikánsan pozitív irányú, közepes erősségű kapcsolatot fedeztünk fel. A többváltozós lineáris regresszióelemzésekben a demográfiai faktorok csak enyhén mérsékelték a változók hatását a KAI-ra és KVI-re. Eredményeink alátámasztják azokat a tanulmányokat, amelyek szerint az egyének klímaaggodalma nem vezet következetesen környezetbarát magatartáshoz.}, keywords = {klímaváltozás}, year = {2024}, eissn = {2064-8251}, orcid-numbers = {Balla, Dániel/0000-0002-8051-1518} } @article{MTMT:34657898, title = {Green concrete materials selection for achieving circular economy in residential buildings using system dynamics}, url = {https://m2.mtmt.hu/api/publication/34657898}, author = {Madi, Heba and Kozma, Gábor and Szabó, György Emőd}, doi = {10.1016/j.clema.2024.100221}, journal-iso = {CLEANER MATERIALS}, journal = {CLEANER MATERIALS}, volume = {11}, unique-id = {34657898}, keywords = {System dynamics; Resource efficiency; circular economy; Green concrete}, year = {2024}, eissn = {2772-3976} } @article{MTMT:34566196, title = {Climate policy contradictions in light of the policy paradigms - the case of the Visegrád Countries}, url = {https://m2.mtmt.hu/api/publication/34566196}, author = {Kovács, András Donát and Farkas, Jenő Zsolt and Vasárus, Gábor László and Balla, Dániel and Kiss, Emőke}, doi = {10.1016/j.envsci.2024.103689}, journal-iso = {ENVIRON SCI POLICY}, journal = {ENVIRONMENTAL SCIENCE & POLICY}, volume = {154}, unique-id = {34566196}, issn = {1462-9011}, year = {2024}, eissn = {1873-6416}, pages = {1-10}, orcid-numbers = {Kovács, András Donát/0000-0002-7748-5945; Farkas, Jenő Zsolt/0000-0002-4245-2908; Vasárus, Gábor László/0000-0001-5375-9107; Balla, Dániel/0000-0002-8051-1518} } @article{MTMT:34549041, title = {Evaluating the extrapolation potential of random forest digital soil mapping}, url = {https://m2.mtmt.hu/api/publication/34549041}, author = {Hateffard, Fatemeh and Steinbuch, L. and Heuvelink, G.B.M.}, doi = {10.1016/j.geoderma.2023.116740}, journal-iso = {GEODERMA}, journal = {GEODERMA}, volume = {441}, unique-id = {34549041}, issn = {0016-7061}, abstract = {Spatial soil information is essential for informed decision-making in a wide range of fields. Digital soil mapping (DSM) using machine learning algorithms has become a popular approach for generating soil maps. DSM capitalises on the relation between environmental variables (i.e., features) and a soil property of interest. It typically needs a training dataset that covers the feature space well. Mapping in areas where there are no training data is challenging, because extrapolation in geographic space often induces extrapolation in feature space and can seriously deteriorate prediction accuracy. The objective of this study was to analyse the extrapolation effects of random forest DSM models by predicting topsoil properties (OC, clay, and pH) in four African countries using soil data from the ISRIC Africa Soil Profiles database. The study was conducted in eight experiments whereby soil data from one or three countries were used to predict in the other countries. We calculated similarities between donor and recipient areas using four measures, including soil type similarity, homosoil, dissimilarity index by area of applicability (AOA), and quantile regression forest (QRF) prediction interval width. The aim was to determine the level of agreement between these four measures and identify the method that had the strongest agreement with common validation metrics. The results indicated a positive correlation between soil type similarity, homosoil and dissimilarity index by AOA. Surprisingly, we observed a negative correlation between dissimilarity index by AOA and QRF prediction interval width. Although the cross-validation results for the trained models were acceptable, the extrapolation results were unsatisfactory, highlighting the risk of extrapolation. Using soil data from three countries instead of one increased the similarities for all measures, but it had a limited effect on improving extrapolation. Also, none of the measures had a strong correlation with the validation metrics. This was particularly disappointing for AOA and QRF, which we had expected to be strong indicators of extrapolation prediction performance. Results showed that homosoil and soil type methods had the strongest correlation with validation metrics. The results for this case study revealed limitations of using AOA and QRF as measures of extrapolation effects, highlighting the importance of not relying on these methods blindly. Further research and more case studies are needed to address the effects of extrapolation of DSM models.}, keywords = {Prediction accuracy; SIMILARITIES; Spatial soil information; Extrapolation effects}, year = {2024}, eissn = {1872-6259} } @article{MTMT:34541959, title = {Hydrochemical assessment of groundwater using multivariate statistical methods and water quality indices (WQIs)}, url = {https://m2.mtmt.hu/api/publication/34541959}, author = {Hamma, Bellal and Alodah, Abdullah and Bouaicha, Foued and Bekkouche, Mohamed Faouzi and Barkat, Ayoub and Hussein, Enas E.}, doi = {10.1007/s13201-023-02084-0}, journal-iso = {APP WATER SCI}, journal = {APPLIED WATER SCIENCE}, volume = {14}, unique-id = {34541959}, issn = {2190-5487}, abstract = {Groundwater quality assessment is crucial for the sustainable management of water resources in arid regions, where groundwater is the primary source of water supply and increasing demand raises concerns. The study area in Southwest Algeria relies heavily on groundwater as a source of water supply, and the increasing demand for freshwater raises concerns about the quality of groundwater. To assess the hydrochemical characteristics and water quality of groundwater in the Ain Sefra region, multivariate statistical methods, geochemical modeling and water quality indices were employed. The study revealed that the groundwater samples could be classified into four water groups using hierarchical cluster analysis Q mode (HCA), namely Ca–Mg–HCO 3 , Ca–Mg–Cl–SO 4 , Ca–SO 4 and Na–Cl. Factor analysis was used to identify the main factors controlling the study area’s hydrochemical processes. The results indicated that water–rock interaction, reverse ion exchange and anthropogenic pollution were the main hydrochemical processes affecting groundwater chemistry. The water quality index indicated that the groundwater was suitable for human consumption, with only 2.32% of the samples being unsuitable. Additionally, the groundwater was suitable for agricultural use, but salinity control was necessary. The saturation index values showed that the groundwater was supersaturated with aragonite, calcite, dolomite, anhydrite and gypsum, and undersaturated with halite. Ca-smectite, Mg-smectite and kaolinite were identified as the primary processes controlling the chemical composition of groundwater. The application of multivariate statistical methods, geochemical modeling and water quality indices provided a comprehensive understanding of the hydrochemical characteristics and water quality of groundwater in the Ain Sefra region. The findings of the study can serve as a useful basis for future studies on groundwater quality assessment in the region.}, year = {2024}, eissn = {2190-5495}, orcid-numbers = {Alodah, Abdullah/0000-0002-0815-4579} } @article{MTMT:34531871, title = {Phytotoxicity Assessment of Oat Seeds Using Purified Water Treated with Palm Leaves and Date Pits}, url = {https://m2.mtmt.hu/api/publication/34531871}, author = {Zakaria, Rahal and Abderrahmane, Khechekhouche and Chekima, Hamza and Barkat, Ayoub and Smolyanichenko, Alla Sergeevna}, journal-iso = {POLLUTION}, journal = {POLLUTION}, volume = {10}, unique-id = {34531871}, issn = {2383-451X}, year = {2024}, eissn = {2383-4501}, pages = {201-209} } @article{MTMT:34670498, title = {Az „alföldiség” karakterisztikája a Nagykunságban. Kisújszállási esettanulmány}, url = {https://m2.mtmt.hu/api/publication/34670498}, author = {Kovács, Tibor and Vasvári, Mária}, journal-iso = {CITY.HU}, journal = {CITY.HU: VÁROSTUDOMÁNYI SZEMLE}, volume = {3}, unique-id = {34670498}, keywords = {reziliencia; alföldi belső periféria; mezővárosi kultúra; lokális egyediségek}, year = {2023}, eissn = {2786-4022}, pages = {67-92} } @article{MTMT:34575858, title = {A bodrogzugi nyílt ártér tájhasználatának változása}, url = {https://m2.mtmt.hu/api/publication/34575858}, author = {Vass, Róbert}, doi = {10.32643/f k.147.2.5}, journal-iso = {FÖLDRAJZI KÖZLEMÉNYEK}, journal = {FÖLDRAJZI KÖZLEMÉNYEK}, volume = {147}, unique-id = {34575858}, issn = {0015-5411}, abstract = {In this work, I determined the roughness conditions of the flood plain in an area of 523 ha in the southern part of Bodrogzug based on aerial photographs from 1965 and 2016. The inspiration for conducting the tests was the three recordings that were made of the area at the beginning and in the middle of the 20th century, and in the early 2000s. Based on the two previous recordings, the roughness of the area may have been much smaller than today due to the short grass pastures and the small amount of woody vegetation. To determine the roughness values, I used the categories developed by CHOW V. T. (1959) and NÉMETH E. (1959). The plant cover values recorded at the two times show significant differences. The proportion of very dense forests increased greatly, with the weighted roughness increasing by two and a half times in 2016 compared to 1965. This significantly reduces the speed of flood waters, which can lead to gradual siltation of the area. At the same time, the direction of landscape development is developing favourably, as the area's biodiversity is increasing.}, keywords = {land use change; Active floodplain; roughness categories}, year = {2023}, pages = {133-142} } @article{MTMT:34565431, title = {Adsorption of Sodium in an Aqueous Solution in Activated Date Pits}, url = {https://m2.mtmt.hu/api/publication/34565431}, author = {Zakaria, Rahal and Abderrahmane, Khechekhouche and Barkat, Ayoub and Smolyanichenko, Alla Sergeevna and Hamza, Chekima}, journal-iso = {INDON J SC TECH}, journal = {INDONESIAN JOURNAL OF SCIENCE AND TECHNOLOGY}, volume = {8}, unique-id = {34565431}, issn = {2528-1410}, year = {2023}, eissn = {2527-8045}, pages = {397-412} } @article{MTMT:34448328, title = {Vízminőségi monitoring adatok feldolgozása és publikálása WebGIS támogatással = Geoprocessing and publishing water quality monitoring data with WebGIS support}, url = {https://m2.mtmt.hu/api/publication/34448328}, author = {Balla, Dániel and Kiss, Emőke and Zichar, Marianna and Mester, Tamás}, doi = {10.30921/GK.75.2023.6.1}, journal-iso = {GEODÉZIA ÉS KARTOGRÁFIA}, journal = {GEODÉZIA ÉS KARTOGRÁFIA}, volume = {75}, unique-id = {34448328}, issn = {0016-7118}, year = {2023}, pages = {4-9}, orcid-numbers = {Balla, Dániel/0000-0002-8051-1518; Zichar, Marianna/0000-0002-1943-6053} }