@article{2-s2.0-85126857050,

title = {Evaluation of Satellite Rainfall Estimates in a Rugged Topographical Basin Over South Gojjam Basin, Ethiopia},

author = { D.A. Malede and T. Alamirew and J.R. Kosgei and Q.B. Pham and T.G. Andualem},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126857050&doi=10.1007%2fs12524-022-01530-x&partnerID=40&md5=a02933ae4ae5ce5003e30f3f340e9bbe},

doi = {10.1007/s12524-022-01530-x},

issn = {0255660X},

year  = {2022},

date = {2022-01-01},

journal = {Journal of the Indian Society of Remote Sensing},

publisher = {Springer},

abstract = {Under the inaccessibility of optimum networks and lack of well-organized rain gauge data, the provided high-resolution satellite estimates serve as a vital baseline for hydro climate-associated studies. In the rugged topography of South Gojjam Basin, satellite rainfall estimates from the African Rainfall Climatology (ARC2), Climate Hazard Group Infrared Precipitation with Stations Data (CHIRPSv2), African Rainfall Estimations Algorithm (REFv2), and Tropical Applications of Meteorology using Satellite (TAMSATv3) were evaluated and compared with rain gauge rainfall data. Satellite rainfall estimates were evaluated at spatiotemporal scales with observed data using approaches of point observed rainfall data and areal averaged rainfall comparisons for the period of 2001–2018. The basin was divided into two parts, according to geographical region, to identify the effect of topographical variation. Besides, the spatial map of the annual satellite rainfall estimate pattern was illustrated with observed rainfall data for comparison. The result showed that TAMSATv3 and RFEv2 rainfall estimates showed the best performance than ARC2 and CHIRPSv3 products at daily time scales and in both spatial scales (i.e., higher, and lower elevations). On a monthly and wet season timescale, the CHIRPSv2 product was outperformed, even though the four satellite products performed better. CHIRPSv2 and TAMSATv3 products presented overestimated rainfall in the lower elevation region at daily and monthly scales, while ARC2 and RFEv2 products were underestimated at all spatiotemporal scales. Overall, CHIRPSv2 and TAMSATv3 satellite rainfall estimates showed good relation to the rain gauge rainfall data in the rugged topography and a limited number of rain gauges in the South Gojjam basin. Thus, this study decided that CHIRPSv2 and TAMSATv3 satellite rainfall data could be used as an alternative to rain gauge rainfall on a monthly and wet season time scale for hydroclimate studies. © 2022, Indian Society of Remote Sensing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85126869916,

title = {Specification of leaf dorsiventrality via a prepatterned binary readout of a uniform auxin input},

author = { A. Burian and G. Paszkiewicz and K.T. Nguyen and S. Meda and M. Raczyńska-Szajgin and M.C.P. Timmermans},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126869916&doi=10.1038%2fs41477-022-01111-3&partnerID=40&md5=ca069807d3e0f8d4cce846ec133b5178},

doi = {10.1038/s41477-022-01111-3},

issn = {20550278},

year  = {2022},

date = {2022-01-01},

journal = {Nature Plants},

volume = {8},

number = {3},

pages = {269-280},

publisher = {Nature Research},

abstract = {Developmental boundaries play an important role in coordinating the growth and patterning of lateral organs. In plants, specification of dorsiventrality is critical to leaf morphogenesis. Despite its central importance, the mechanism by which leaf primordia acquire adaxial versus abaxial cell fates to establish dorsiventrality remains a topic of much debate. Here, by combining time-lapse confocal imaging, cell lineage tracing and molecular genetic analyses, we demonstrate that a stable boundary between adaxial and abaxial cell fates is specified several plastochrons before primordium emergence when high auxin levels accumulate on a meristem prepattern formed by the AS2 and KAN1 transcription factors. This occurrence triggers a transient induction of ARF3 and an auxin transcriptional response in AS2-marked progenitors that distinguishes adaxial from abaxial identity. As the primordium emerges, dynamic shifts in auxin distribution and auxin-related gene expression gradually resolve this initial polarity into the stable regulatory network known to maintain adaxial–abaxial polarity within the developing organ. Our data show that spatial information from an AS2–KAN1 meristem prepattern governs the conversion of a uniform auxin input into an ARF-dependent binary auxin response output to specify adaxial–abaxial polarity. Auxin thus serves as a single morphogenic signal that orchestrates distinct, spatially separated responses to coordinate the positioning and emergence of a new organ with its patterning. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85126908832,

title = {Efficiency of Geospatial Technology and Multi-Criteria Decision Analysis for Groundwater Potential Mapping in a Semi-Arid Region},

author = { A.M. Masoud and Q.B. Pham and A.K. Alezabawy and S.A. Abu El-Magd},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126908832&doi=10.3390%2fw14060882&partnerID=40&md5=74060f74b27011d2223fe3726fc9e751},

doi = {10.3390/w14060882},

issn = {20734441},

year  = {2022},

date = {2022-01-01},

journal = {Water (Switzerland)},

volume = {14},

number = {6},

publisher = {MDPI},

abstract = {The increasing water demand in Egypt causes massive stress on groundwater resources. The high variability in the groundwater depth, aquifer properties, terrain characteristics, and shortage of rainfall make it necessary to identify the groundwater potentiality in semi-arid regions. This study used the possibilities of multi-criteria decision approaches (MCDA), geographical information system (GIS), and groundwater field data to delineate potential groundwater zones in the Tushka area, west of Lake Nasser, South Egypt. Furthermore, groundwater potentiality identification can help decision-makers better plan and manage the water resources in this promising area. Eight controlling factors were utilized to achieve the objective of the present work using multi-criteria decision analysis (MCDA) approaches, namely the analytical hierarchy process (AHP) and frequency ratio (FR) models. The controlling parameters were integrated with the geographic information system (GIS) to develop the zones of groundwater potentialities. The results revealed that high and moderate-potential zones cover approximately 61% and 52% of the total area in the AHP and FR models, respectively. A total of 44 groundwater production wells along with the well yield were collected and used to validate the models. The results were evaluated using the receiver operating characteristics (ROC) curve. The best-performing prediction rates achieved by AHP and FR were 83% and 81%, respectively. Finally, the obtained results indicated that the AHP model achieved better performance than the FR model. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85126877740,

title = {The Perception of Urban Forests in Post-Mining Areas: A Case Study of Sosnowiec-Poland},

author = { R. Krzysztofik and O. Rahmonov and I. Kantor-Pietraga and W. Dragan},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126877740&doi=10.3390%2fijerph19073852&partnerID=40&md5=24a0e74e2fb2af30cc124fb28a0e0e86},

doi = {10.3390/ijerph19073852},

issn = {16617827},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {19},

number = {7},

publisher = {MDPI},

abstract = {Sustainable development policy emphasizes, among other things, the role of green areas in urban space. This remark applies in particular to post-industrial and post-mining cities. One of the elements of shaping the sustainable development of post-mining cities is that forests are often anthropogenic forest ecosystems growing in previously mining areas, one of the most characteristic elements of their spatial development. This article examines the role of urban forests in the post-mining area in Sosnowiec, located in the core of the Katowice conurbation in southern Poland. This article aimed to show the social perception of forests in post-mining areas among the local community and the features of urban forests. The social dimension of the interaction between humans and the environment is related to the issue of urban planning. Research was implemented based on quantitative, qualitative (CATI survey), and cartographic methods. The results indicate the significant role of forests in post-mining areas depending on their location in the settlement areas in a post-industrial city. The research emphasizes that residents perceive forests in post-mining areas of cities as an essential and expected recreational space. Notably, half of them do not see any threats therein. It is also expected that these areas will be better developed for recreational purposes in the future. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85126914343,

title = {Development of cluster analysis methodology for identification of model rainfall hyetographs and its application at an urban precipitation field scale},

author = { K. Mikołajewski and M. Ruman and K. Kosek and M. Glixelli and P. Dzimińska and P. Ziętara and P. Licznar},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126914343&doi=10.1016%2fj.scitotenv.2022.154588&partnerID=40&md5=937977d311f9189890a3bf79e0675f41},

doi = {10.1016/j.scitotenv.2022.154588},

issn = {00489697},

year  = {2022},

date = {2022-01-01},

journal = {Science of the Total Environment},

volume = {829},

publisher = {Elsevier B.V.},

abstract = {Despite growing access to precipitation time series records at a high temporal scale, in hydrology, and particularly urban hydrology, engineers still design and model drainage systems using scenarios of rainfall temporal distributions predefined by means of model hyetographs. This creates the need for the availability of credible statistical methods for the development and verification of already locally applied model hyetographs. The methodology development for identification of similar rainfall models is also important from the point of view of systems controlling stormwater runoff structure in real time, particularly those based on artificial intelligence. This paper presents a complete methodology of division of storm rainfalls sets into rainfalls clusters with similar temporal distributions, allowing for the final identification of local model hyetographs clusters. The methodology is based on cluster analysis, including the hierarchical agglomeration method and k-means clustering. The innovativeness of the postulated methodology involves: the objectivization of clusters determination number based on the analysis of total within sum of squares (wss) and the Caliński and Harabasz Index (CHIndex), verification of the internal coherence and external isolation of clusters based on the bootmean parameter, and the designated clusters profiling. The methodology is demonstrated at a scale of a large urban precipitation field of Kraków city on a total set of 1806 storm rainfalls from 25 rain gauges. The obtained results confirm the usefulness and repeatability of the developed methodology regarding storm rainfall clusters division, and identification of model hyetographs in particular clusters, at a scale of an entire city. The applied methodology can be successfully transferred on a global scale and applied in large urban agglomerations around the world. © 2022 Elsevier B.V.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85108184760,

title = {Application of ERA-Interim, empirical models, and an artificial intelligence-based model for estimating daily solar radiation},

author = { B. Mohammadi and R. Moazenzadeh and Q.B. Pham and N. Al-Ansari and K.U. Rahman and D. Tran Anh and Z. Duan},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108184760&doi=10.1016%2fj.asej.2021.05.012&partnerID=40&md5=e04c817e358e3ebd07c0a629f8c53987},

doi = {10.1016/j.asej.2021.05.012},

issn = {20904479},

year  = {2022},

date = {2022-01-01},

journal = {Ain Shams Engineering Journal},

volume = {13},

number = {1},

publisher = {Ain Shams University},

abstract = {Solar radiation plays a pivotal role in the energy balance at the Earth's surface, evaporation, snow melting, water requirements of plants, and hydrological control of catchments. In this work, performance of ERA-Interim (a reanalysis dataset) was examined to estimate solar radiation at Ahvaz, BandarAbbas, and Kermanshah weather stations representing the even spatial distribution over Iran using eight empirical models and an artificial intelligence-based model (SVM: Support Vector Machine). In the calibration set, SVM exhibited the best performance with RMSEs of 249, 299 and 437 J.cm−2.day−1 at the aforementioned stations, respectively. In validation set, SVM reduced the errors in the estimates of solar radiation by 2.5 and 7.3 percent compared to the best empirical model at Ahvaz station (Abdallah model},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85116568518,

title = {Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms},

author = { X.C. Nguyen and T.T.H. Nguyen and Q.V. Le and P.C. Le and A.L. Srivastav and Q.B. Pham and P.M. Nguyen and D.D. La and E.R. Rene and H.H. Ngo and S.W. Chang and D.D. Nguyen},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116568518&doi=10.1016%2fj.jenvman.2021.113868&partnerID=40&md5=464570f1cc01b2431c75203b6ec53a41},

doi = {10.1016/j.jenvman.2021.113868},

issn = {03014797},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Environmental Management},

volume = {301},

publisher = {Academic Press},

abstract = {Knowing the effluent quality of treatment systems in advance to enable the design of treatment systems that comply with environmental standards is a realistic strategy. This study aims to develop machine learning - based predictive models for designing the subsurface constructed wetlands (SCW). Data from the SCW literature during the period of 2009–2020 included 618 sets and 10 features. Five algorithms namely, Random forest, Classification and Regression trees, Support vector machines, K-nearest neighbors, and Cubist were compared to determine an optimal algorithm. All nine input features including the influent concentrations, C:N ratio, hydraulic loading rate, height, aeration, flow type, feeding, and filter type were confirmed as relevant features for the predictive algorithms. The comparative result revealed that Cubist is the best algorithm with the lowest RMSE (7.77 and 21.77 mg.L−1 for NH4–N and COD, respectively) corresponding to 84% of the variance in the effluents explained. The coefficient of determination of the Cubist algorithm obtained for NH4–N and COD prediction from the test data were 0.92 and 0.93, respectively. Five case studies of the application of SCW design were also exercised and verified by the prediction model. Finally, a fully developed Cubist algorithm-based design tool for SCW was proposed. © 2021 Elsevier Ltd},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85116619696,

title = {Why some plant species become extinct while others are spreading?},

author = { A. Urbisz},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116619696&doi=10.30848%2fPJB2022-1%2818%29&partnerID=40&md5=31628c1fdeb2867e96414dcf69f87c66},

doi = {10.30848/PJB2022-1(18)},

issn = {05563321},

year  = {2022},

date = {2022-01-01},

journal = {Pakistan Journal of Botany},

volume = {54},

number = {1},

publisher = {Pakistan Botanical Society},

abstract = {The research was carried out in the Kraków-Częstochowa Jurassic Upland (Southern Poland). Two groups of plants were distinguished in the vascular flora of this area, each consisting of 32 species: probably extinct and invasive. All species were described in respect of 33 traits related to their morphology, anatomy, reproduction biology, phenology, chorology, taxonomy, habitat requirements, life strategy and response to human impact. The objective of this study is to answer the question which traits of plant species determine their extinction or spreading. To demonstrate statistically significant differences between invasive and extinct species, Pearson’s chi-square test was applied. The statistically significant differences were found for 16 traits. The compared groups of plants differed the most in terms of stem height, human use, the degree of hemeroby, urbanity, the number of sites, types of plant communities in which they occur, the nitrogen content in the substrate and the life strategy. Statistically significant differences were also determined for the pollination method, anatomical structure of leaves, dicliny, the type and weight of a diaspore, duration of the flowering period, taxonomic affinity with a family and the soil moisture value. It has been found that invasive species are mostly medium-sized plants (0.5–2 m high), often cultivated by man, abundant on anthropogenic habitats; they are nitrophilous, mesophilic, self-pollinating and C-strategists. On the other hand, extinct species are up to 0.5 m high. They are not crop plants and occur mostly on natural and semi-natural habitats, on substrates with low content of nitrogen and they are CSR-strategists. © 2022, Pakistan Botanical Society. All rights reserved.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85116985663,

title = {Migration without interbreeding: Evolutionary history of a highly selfing Mediterranean grass inferred from whole genomes},

author = { C. Stritt and E.L. Gimmi and M. Wyler and A.H. Bakali and A. Skalska and R. Hasterok and L.A.J. Mur and N. Pecchioni and A.C. Roulin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116985663&doi=10.1111%2fmec.16207&partnerID=40&md5=6b239013be251a1b2ce6ebee8d953a24},

doi = {10.1111/mec.16207},

issn = {09621083},

year  = {2022},

date = {2022-01-01},

journal = {Molecular Ecology},

volume = {31},

number = {1},

pages = {70-85},

publisher = {John Wiley and Sons Inc},

abstract = {Wild plant populations show extensive genetic subdivision and are far from the ideal of panmixia which permeates population genetic theory. Understanding the spatial and temporal scale of population structure is therefore fundamental for empirical population genetics – and of interest in itself, as it yields insights into the history and biology of a species. In this study we extend the genomic resources for the wild Mediterranean grass Brachypodium distachyon to investigate the scale of population structure and its underlying history at whole-genome resolution. A total of 86 accessions were sampled at local and regional scales in Italy and France, which closes a conspicuous gap in the collection for this model organism. The analysis of 196 accessions, spanning the Mediterranean from Spain to Iraq, suggests that the interplay of high selfing and seed dispersal rates has shaped genetic structure in B. distachyon. At the continental scale, the evolution in B. distachyon is characterized by the independent expansion of three lineages during the Upper Pleistocene. Today, these lineages may occur on the same meadow yet do not interbreed. At the regional scale, dispersal and selfing interact and maintain high genotypic diversity, thus challenging the textbook notion that selfing in finite populations implies reduced diversity. Our study extends the population genomic resources for B. distachyon and suggests that an important use of this wild plant model is to investigate how selfing and dispersal, two processes typically studied separately, interact in colonizing plant species. © 2021 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85117041491,

title = {Daily precipitation concentration in Central Coast Vietnam},

author = { A. Benhamrouche and J. Martin-Vide and Q.B. Pham and M.E. Kouachi and M.C. Moreno-Garcia},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117041491&doi=10.1007%2fs00704-021-03804-9&partnerID=40&md5=83c30f7a73762225e5b66c450ebe4d94},

doi = {10.1007/s00704-021-03804-9},

issn = {0177798X},

year  = {2022},

date = {2022-01-01},

journal = {Theoretical and Applied Climatology},

volume = {147},

number = {1-2},

pages = {37-45},

publisher = {Springer},

abstract = {Empirical frequency distribution of daily precipitation amounts can be fitted by a negative exponential distribution, because anywhere there are many small daily totals and few large ones. Therefore, the cumulative percentages of days with precipitation, sorted in increasing order according to their amounts, against the cumulative percentage of the rainfall amounts that they contribute are fitted by positive exponential curves Y = aXebx, a and b constants. Based on these curves, the Concentration Index (CI) evaluates the contribution of the rainiest days to the total amount. In this study the CI has been calculated for 15 meteorological stations in Da Nang city and Quang Nam province in Central Coast Vietnam, for the 1979–2016 period. The results show high values of CI, ranging from 0.62 to 0.72. Conversely, the linear correlation between altitude and CI is negative (R = -0.60, p < 0.01). There are no correlations between the latitude nor the annual mean number of precipitation days and the CI. CI change for the sub-periods of 1979–1997 and 1998–2016 is also analyzed. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85118576518,

title = {Coralliths of tabulate corals from the Devonian of the Holy Cross Mountains (Poland)},

author = { M.K. Zapalski and J.J. Król and A.T. Halamski and T. Wrzołek and M. Rakociński and A.H. Baird},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118576518&doi=10.1016%2fj.palaeo.2021.110745&partnerID=40&md5=b3fae081e49ff927d3ae7ab6d9f1a299},

doi = {10.1016/j.palaeo.2021.110745},

issn = {00310182},

year  = {2022},

date = {2022-01-01},

journal = {Palaeogeography, Palaeoclimatology, Palaeoecology},

volume = {585},

publisher = {Elsevier B.V.},

abstract = {Tabulates, an extinct Palaeozoic group of corals, developed diverse colony morphologies during the Silurian to Devonian peak of reef development. Coralliths, or circumrotatory colonies, are passively motile coral colonies constantly overturned by wave action or currents. Such overturning allows tissue growth on all sides of the colony. They are among the most rarely reported growth forms. Recent corallith-forming scleractinian corals mostly inhabit the shallowest reef environments, but coralliths can also develop at greater depths in areas of low topographic relief, unconsolidated substratum, low coral cover and high water movement. Here, we report on Devonian (Givetian Favosites goldfussi and Frasnian Alveolites? tenuissimus) coralla from the Holy Cross Mountains, Poland. Our analysis suggests these colonies are coralliths, although less mature than usually reported. These corals, unlike previously described growth forms of this kind, lived in relatively deep environments: probably the upper mesophotic (Givetian, Miłoszów), or deep reef fore-slope (Frasnian, Jaźwica and Kowala). Microfacies analysis of the Jaźwica site suggests unconsolidated substratum and high hydrodynamic energy. We conclude that these corals lived in deeper environments where bottom currents caused their autorotation. A good modern analogue for such a corallith-forming environment is the Wistari Channel (Southern Great Barrier Reef), where bottom tidal currents at nearly 30 m of depth are strong enough to overturn colonies of Stylocoeniella cf. guentheri reaching 15 cm in diameter. Our discovery shows that the spectrum of coral growth forms during the Devonian peak of reef development was broader than previously assumed, and that tabulate corals displayed numerous adaptive strategies to various environments. © 2021 The Authors},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85119691155,

title = {Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling},

author = { S.I. Abba and R.A. Abdulkadir and S.S. Sammen and Q.B. Pham and A.A. Lawan and P. Esmaili and A. Malik and N. Al-Ansari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119691155&doi=10.1016%2fj.asoc.2021.108036&partnerID=40&md5=2a481a24fce5895904e1bf4a02a5bdd8},

doi = {10.1016/j.asoc.2021.108036},

issn = {15684946},

year  = {2022},

date = {2022-01-01},

journal = {Applied Soft Computing},

volume = {114},

publisher = {Elsevier Ltd},

abstract = {The establishment of water quality prediction models is vital for aquatic ecosystems analysis. The traditional methods of water quality index (WQI) analysis are time-consuming and associated with a high degree of errors. These days, the application of artificial intelligence (AI) based models are trending for capturing nonlinear and complex processes. Therefore, the present study was conducted to predict the WQI in the Kinta River, Malaysia by employing the hybrid AI model i.e., GA-EANN (genetic algorithm-emotional artificial neural network). The extreme gradient boosting (XGB) and neuro-sensitivity analysis (NSA) approaches were utilized for feature extraction, and six different model combinations were derived to examine the relationship among the WQI with water quality (WQ) variables. The efficacy of the proposed hybrid GA-EANN model was evaluated against the backpropagation neural network (BPNN) and multilinear regression (MLR) models during calibration, and validation periods based on Nash–Sutcliffe efficiency (NSE), mean square error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and correlation coefficient (CC) indicators. According to the results of appraisal the hybrid GA-EANN model produced better outcomes (NSE = 0.9233/ 0.9018},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85120543114,

title = {Qualitative and quantitative analyses of the plasmodesmata that accompany cell fate changes during the somatic embryogenesis of Arabidopsis thaliana},

author = { K. Godel-Jędrychowska and E.U. Kurczyńska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120543114&doi=10.1071%2fFP21243&partnerID=40&md5=279c14467f5420c126514ad4cbb3959d},

doi = {10.1071/FP21243},

issn = {14454408},

year  = {2022},

date = {2022-01-01},

journal = {Functional Plant Biology},

volume = {49},

number = {2},

pages = {186-200},

publisher = {CSIRO},

abstract = {Plasmodesmata (PD) are cytoplasmic and membrane-lined microchannels that enable symplasmic communication in plants, which is involved in the regulation of cell differentiation. The presented results emphasise the qualitative and quantitative analyses of PD, which are the basis of the symplasmic communication. The cells that initiate various development programmes create symplasmic domains that are characterised by different degrees of symplasmic communication. Changes in symplasmic communication are caused by the presence or absence of PD and/or the ability of signals to move through them. In the presented studies, somatic embryogenesis was used to describe the characteristics of the PD within and between the symplasmic domains in explants of the Arabidopsis thaliana (L.) Heynh ecotype Columbia-0 and 35S:BBM transgenic line. Transmission electron microscopy was used to describe the cells that regain totipotency/pluripotency during somatic embryogenesis, as well as the number and shape of the PD in the different symplasmic domains of the explants and somatic embryos. Array tomography was used to create a 3D reconstruction of the protodermal cells of the somatic embryos with particular emphasis on the PD distribution in the cell walls. The results showed that there were different frequencies of the PD within and between the symplasmic domain that emerges during somatic embryogenesis and between the Col-0 and 35S:BBM somatic embryos with regard to the differences in the shape of the PD. © 2022},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85121653518,

title = {Effect of drought and heavy metal contamination on growth and photosynthesis of silver birch trees growing on post-industrial heaps},

author = { K. Sitko and M. Opała-Owczarek and G. Jemioła and Ż. Gieroń and M. Szopiński and P. Owczarek and M. Rudnicka and E. Małkowski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121653518&doi=10.3390%2fcells11010053&partnerID=40&md5=49e0f5180a420dc9454161db9382a90e},

doi = {10.3390/cells11010053},

issn = {20734409},

year  = {2022},

date = {2022-01-01},

journal = {Cells},

volume = {11},

number = {1},

publisher = {MDPI},

abstract = {Silver birch trees (Betula pendula Roth) are a pioneering species in post-industrial habitats, and have been associated with an expansive breeding strategy and low habitat requirements. We conducted ecophysiological and dendroclimatological studies to check whether there are any features of which the modification enables birch trees to colonise extreme habitats successfully. We characterised the efficiency of the photosynthetic apparatus, the gas exchange, the content of pigments in leaves, and the growth (leaf thickness and tree-ring width) of birch trees on a post-coal mine heap, a post-smelter heap, and a reference site. Birch growth was limited mainly by temperature and water availability during summer, and the leaves of the birch growing on postindustrial heaps were significantly thicker than the reference leaves. Moreover, birch trees growing on heaps were characterised by a significantly higher content of flavonols and anthocyanins in leaves and higher non-photochemical quenching. In addition, birches growing on the post-coal mine heap accumulated a concentration of Mn in their leaves, which is highly toxic for most plant species. Increasing the thickness of leaves, and the content of flavonols and anthocyanins, as well as efficient non-photochemical quenching seem to be important features that improve the colonization of extreme habitats by birches. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85121668492,

title = {Analysis of the genome of the heavy metal resistant and hydrocarbon-degrading rhizospheric pseudomonas qingdaonensis zcr6 strain and assessment of its plant-growth-promoting traits},

author = { D. Chlebek and T. Płociniczak and S. Gobetti and A. Kumor and K.T. Hupert-Kocurek and M. Pacwa-Płociniczak},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121668492&doi=10.3390%2fijms23010214&partnerID=40&md5=db0b844c58764bf8192f1cb2aad87623},

doi = {10.3390/ijms23010214},

issn = {16616596},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Molecular Sciences},

volume = {23},

number = {1},

publisher = {MDPI},

abstract = {The Pseudomonas qingdaonensis ZCR6 strain, isolated from the rhizosphere of Zea mays growing in soil co-contaminated with hydrocarbons and heavy metals, was investigated for its plant growth promotion, hydrocarbon degradation, and heavy metal resistance. In vitro bioassays confirmed all of the abovementioned properties. ZCR6 was able to produce indole acetic acid (IAA), siderophores, and ammonia, solubilized Ca3 (PO4 )2, and showed surface active properties and activity of cellulase and very high activity of 1-aminocyclopropane-1-carboxylic acid deaminase (297 nmol α-ketobutyrate mg−1 h−1 ). The strain degraded petroleum hydrocarbons (76.52% of the initial hydrocarbon content was degraded) and was resistant to Cd, Zn, and Cu (minimal inhibitory concentrations reached 5, 15, and 10 mM metal, respectively). The genome of the ZCR6 strain consisted of 5,507,067 bp, and a total of 5055 genes were annotated, of which 4943 were protein-coding sequences. Annotation revealed the presence of genes associated with nitrogen fixation, phosphate solubilization, sulfur metabolism, siderophore biosynthesis and uptake, synthesis of IAA, ethylene modulation, heavy metal resistance, exopolysaccharide biosynthesis, and organic compound degradation. Complete characteristics of the ZCR6 strain showed its potential multiway properties for enhancing the phytoremediation of co-contaminated soils. To our knowledge, this is the first analysis of the biotechnological potential of the species P. qingdaonensis. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85121735992,

title = {Regeneration of post-agricultural brownfield for social care needs in rural community: Is there any transferable experience?},

author = { P. Klusáček and K. Charvátová and J. Navrátil and T. Krejčí and S. Martinát},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121735992&doi=10.3390%2fijerph19010240&partnerID=40&md5=0338e1dbdcf2701ca77becbfe1d6446b},

doi = {10.3390/ijerph19010240},

issn = {16617827},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {19},

number = {1},

publisher = {MDPI},

abstract = {In the 21st century, rural communities face many challenges, including implications of dynamic population aging, a lack of social care services, and the occurrence of abandoned post-agricultural brownfields. This paper is methodologically based on the findings derived from a set of qualitative in-depth interviews with the key rural stakeholders, explores the decisive factors and limits, accelerators, and barriers governing successful regeneration of the post-agricultural brownfield in the post-socialist environment. We are using the case of the regeneration project of a large-scale former communist agricultural cooperative, located in Vranovice, the Czech Republic, to illuminate how complex and challenging the redevelopment of a post-agricultural brownfield into a social care facility for elderly people is. A wide agreement among the experts in the field of community development exists that this regeneration project can serve as a model example for other rural municipalities that are sharing similar local development issues. Our findings illustrate how important and challenging at the same time are the matters of good governance, the active and long-term participation of stakeholders in the regeneration project, and the real-life introduction of the public–private partnership concept, particularly in immensely transforming the post-socialist countryside. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85121744655,

title = {The properties of black locust robinia pseudoacacia l. To selectively accumulate chemical elements from soils of ecologically transformed areas},

author = { D. Środek and O. Rahmonov},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121744655&doi=10.3390%2ff13010007&partnerID=40&md5=39750ab69a93754db2b75ec9381034c3},

doi = {10.3390/f13010007},

issn = {19994907},

year  = {2022},

date = {2022-01-01},

journal = {Forests},

volume = {13},

number = {1},

publisher = {MDPI},

abstract = {The black locust Robinia pseudoacacia L. is a common species that originated from North America. In Europe, it is an invasive and introduced plant. Due to its low habitat requirements and ecological plasticity, this species colonizes new anthropogenically transformed areas quickly. This study investigated the chemical composition of selected tissues of Robinia pseudoacacia L. in five various habitats with different levels of anthropopression conditions in southern Poland. The presented research aimed to compare the chemical composition of black locust parts tissues (leaves, branches, and seeds) and the soil under its canopy. To determine the heavy metal contamination and enrichment in soil, the geoaccumulation index, enrichment factor, contamination factor, pollution load index, and potential ecological risk index were calculated. The results showed that all examined soils are considerably or very highly contaminated and the main heavy metals, which pollute the studied samples, are cadmium (1.3–3.91 ppm), lead (78.17–157.99 ppm), and zinc (129.77–543.97 ppm). Conducted research indicates that R. pseudoacacia leaves are the primary carrier of potentially toxic elements. Due to low bioaccumulation factor (BAF) values, it is clear that black locusts do not accumulate contaminants in such amounts that it would pose risk to its use in degraded area reclamation. The obtained results showed that R. pseudoacacia is able to grow in a wide range of habitats and could be applied for greening urban habitats and disturbed ecosystems caused by industry. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85121873630,

title = {Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India},

author = { C.B. Pande and K.N. Moharir and S.K. Singh and A. Elbeltagi and Q.B. Pham and B. Panneerselvam and A.M. Varade and S. Kouadri},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121873630&doi=10.1007%2fs13201-021-01525-y&partnerID=40&md5=e8864cacbf0a2a7307f892cafe5f1c75},

doi = {10.1007/s13201-021-01525-y},

issn = {21905487},

year  = {2022},

date = {2022-01-01},

journal = {Applied Water Science},

volume = {12},

number = {1},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The ecological sustainable development and planning of groundwater resources is an excessive challenge for many countries currently facing water insufficiency. The main focus of this work was to determine the direction of groundwater flow, head value, and water level using the steady-state finite difference model (MODFLOW software) in basaltic formations in Maharashtra, India. The MODFLOW model was integrated with ground data using Geographic Information System (GIS) for sustainable groundwater resource management in the hard rock terrain. The MODFLOW-2005 model simulated the interaction between heads and time in 2014–18 by steady-state conditions. In this present study, four observation wells were selected. During the field survey, four observation wells have been monitored regularly as per the Central Groundwater Board guidelines. MODFLOW software has been conceptualized as a double-layered rigid and fractured aquifer area feast over 18,312 m × 11,265 m area. This research demonstrates that the integration of GIS, conventional fieldwork, and mathematical model can support to understand groundwater demand and supply in a better way. © 2021, The Author(s).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85122148469,

title = {A modified approach to quantify aquifer vulnerability to pollution towards sustainable groundwater management in Irrigated Indus Basin},

author = { M. Umar and S.N. Khan and A. Arshad and R.A. Aslam and H.M.S. Khan and H. Rashid and Q.B. Pham and A. Nasir and R. Noor and K.M. Khedher and D.T. Anh},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122148469&doi=10.1007%2fs11356-021-17882-9&partnerID=40&md5=6563fab9a5d5765208e24d797997e5b3},

doi = {10.1007/s11356-021-17882-9},

issn = {09441344},

year  = {2022},

date = {2022-01-01},

journal = {Environmental Science and Pollution Research},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The quality of groundwater in the study watershed has worsened because of industrial effluents and residential wastes from the urbanized cities; therefore, there is an important need to explore the aquifer vulnerability to pollution for sustainable groundwater management in the Irrigated Indus Basin (IIB). This study proposed a novel methodology to quantify groundwater vulnerability using two fully independent methodologies: the first by reintroducing an improved recharge factor (R) map and the second by incorporating three different weight and rating schemes into a traditional DRASTIC framework to improve the performance of the DRASTIC approach. In the current study, we composed a recharge map from Soil and Water Assessment Tool (SWAT) output (namely SWAT recharge map) with a drainage density map to retrieve an improved composite recharge map (SWAT-CRM). SWAT-CRM along with other thematic layers was combined using weightage overlay analysis to prepare the maps of groundwater vulnerability index (VI). The weight scale (w) and rating scale (r) were assigned based on a survey of available literature, and we then amended them using the analytical hierarchy process (AHP) and a probability frequency ratio (PFR) technique. Results depicted that the region under high groundwater vulnerability was found to be 5–22% using traditional recharge maps, while those are 9–23% using improved SWAT-CRM. The area under the curve (AUC) revealed that groundwater vulnerability zones predicted with SWAT-CRM outperformed the DRASTIC model applied with the traditional recharge map. Groundwater electrical conductivity (EC) was>2500 mS/cm in the high groundwater vulnerability zones, while it was <1000 mS/cm in the low groundwater vulnerability zones. The outcomes of this study can be used to improve the sustainability of the groundwater resources in IIB through proper land-use management practices. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85122310778,

title = {Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models},

author = { S.C. Pal and R. Chakrabortty and A. Saha and S.K. Bozchaloei and Q.B. Pham and N.T.T. Linh and D.T. Anh and S. Janizadeh and K. Ahmadi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122310778&doi=10.1007%2fs10064-021-02546-2&partnerID=40&md5=28e590545f4407e570d937b8e313d318},

doi = {10.1007/s10064-021-02546-2},

issn = {14359529},

year  = {2022},

date = {2022-01-01},

journal = {Bulletin of Engineering Geology and the Environment},

volume = {81},

number = {1},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The modeling and prediction of land movement susceptibility hazards, i.e., debris flow, landslide, and rock fall, can assist in controlling and preventing a variety of societal and environmental damages. The purpose of this study was to develop a land movement susceptibility hazard model of debris flow, landslide, and multiple land movement, i.e., combination of debris flow and landslide in the Saveh city of Markazi Province, Iran, using an ensemble of Bayesian generalized linear model (BGLM), sparse partial least squares (SPLS), boosted tree (BT), and random forest (RF) algorithms. For this purpose, 167 debris flow points, 261 landslide points, and 257 multiple (debris flow and landslide) points were identified based on field visits and available information, and 15 suitable conditioning factors were prepared as independent variables for this study. The accuracy and efficiency of the models were assessed using the receiver operating characteristic (ROC) and other statistical indices. The variable importance result indicates that slope is the most important factor in debris flow (25.53), landslide (31.39), and multiple hazard (41.90) occurrences. The accuracy assessment results in the validation phase revealed that the RF is the most optimal among the applied algorithms, with area under the curve (AUC) values of 0.90, 0.94, and 0.89 for debris flow, landslide, and multiple (D + L) hazard modeling. The findings of this study indicated that the use of a Bayesian and tree-based ensemble model in preparing a land movement-related disaster map could be useful among policymakers and land use planners for sustainable land use management and practices. © 2022, Springer-Verlag GmbH Germany, part of Springer Nature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85122652069,

title = {Cydalima perspectalis in Poland—8 Years of Invasion against the Background of Three Other Invasive Species},

author = { P.K. Bereś and P. Ziętara and M. Nakonieczny and Ł. Kontowski and M. Grzbiela and M. Augustyniak},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122652069&doi=10.3390%2fd14010022&partnerID=40&md5=15b64fb470791391107c78cb3228b29a},

doi = {10.3390/d14010022},

issn = {14242818},

year  = {2022},

date = {2022-01-01},

journal = {Diversity},

volume = {14},

number = {1},

publisher = {MDPI},

abstract = {The box tree moth (Cydalima perspectalis) origins from East Asia. In Europe, it was recorded for the first time in 2007, and in Poland in 2012. By the end of 2020, it was found all over Poland. There are no published data on the range of C. perspectalis occurrence in Poland because it is not a quarantine pest in the European Union and is not subject to official monitoring. Data collected in 2018–2020 via a website dedicated to monitoring, for the first time, illustrate the current range and its largest concentrations in southern and central Poland. The monitoring confirmed that the main directions of the invasion are related to the main communication routes of Poland (south-north) and are of a long-distance character. The dispersal pattern corresponds to the model developed for Cameraria ohridella: a stratified dispersal model that considers long-distance road/rail transport. The second important factor contributing to the invasion of C. perspectalis are large human communities enabling rapid local dispersion (a diffusion model). Comparing its invasion with the monitoring data from 2007–2013 of two other invasive pests of Poland: Ostrinia nubilalis and Diabrotica virgifera, shows that a diffusion model best describes the spatial spread of these pests only to uninhabited neighboring areas. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85122737709,

title = {Linking Spatial–Temporal Changes of Vegetation Cover with Hydroclimatological Variables in Terrestrial Environments with a Focus on the Lake Urmia Basin},

author = { E. Foroumandi and V. Nourani and D. Dąbrowska and S.A. Kantoush},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122737709&doi=10.3390%2fland11010115&partnerID=40&md5=079791c1ee2a00e57d0eeff62bab2538},

doi = {10.3390/land11010115},

issn = {2073445X},

year  = {2022},

date = {2022-01-01},

journal = {Land},

volume = {11},

number = {1},

publisher = {MDPI},

abstract = {Investigation of vegetation cover is crucial to the study of terrestrial ecological environments as it has a close relationship with hydroclimatological variables and plays a dominant role in preserving the characteristics of a region. In Iran, the current study selected the watersheds of two rivers, Nazloo-Chay and Aji-Chay, to systematically investigate the implications and causes of vegetation cover variations under changing environments. These two rivers are among the essential inflows to Lake Urmia, the second largest saline lake on Earth, and are located on the west and east sides of the lake, respectively. There has been a debate between the people living in the rivers’ watersheds about who is responsible for the decline in the level of Lake Urmia—does responsibility fall with those on the east side or with those on the west side? In this study, the normalized difference vegetation index (NDVI) was used as a remotely sensed index to study spatial–temporal pattern changes in vegetation. Moreover, the temperature, precipitation, and streamflow time series were gathered using ground measurements to explore the causes and implications of changing vegetation cover. Discrete wavelet transform was applied to separate the different components of the time series. The Mann–Kendall (MK) test was applied to the time series on monthly, seasonal, and annual time scales. The connections and relationship between the NDVI time series and temperature, pre-cipitation, and streamflow time series and any underlying causes were investigated using wavelet transform coherence (WTC). Land use maps were generated for different years using a support vector machine (SVM) in the final stage. The results indicated that the most dominant monthly, seasonal, and annual hydrological periodicities across the watersheds are 8 months, 6 months, and 2 years, respectively. The increasing vegetation cover during stable hydro-environmental periods revealed unusual conditions in the Aji-Chay watershed and reflected agricultural expansion. The WTC graphs indicated sudden changes in mutual periodicities and time-lags with different patterns between variables, which indicates the increasing anthropogenic activities in both watersheds. However, this was more dominant in the Aji-Chay watershed. The land use maps and investigation of the averaged NDVI maps also denoted that the areas of cultivated land have increased by 30% in the Aji-Chay watershed, and crop types have been changed to the crops with a higher demand for water in both watersheds. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85123513031,

title = {Relationships between Vertical Temperature Gradients and PM10 Concentrations during Selected Weather Conditions in Upper Silesia (Southern Poland)},

author = { E.B. Łupikasza and T. Niedźwiedź},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123513031&doi=10.3390%2fatmos13010125&partnerID=40&md5=dd4b30d9c82a347b1ca0f373a2edad92},

doi = {10.3390/atmos13010125},

issn = {20734433},

year  = {2022},

date = {2022-01-01},

journal = {Atmosphere},

volume = {13},

number = {1},

publisher = {MDPI},

abstract = {This paper studies surface air temperature inversions and their impact on air pollution under the background of meteorological conditions in southern Poland. The relationship of temperature gradients and air quality classes with weather conditions in the most urbanized and polluted part of Poland as represented by the Upper Silesia region (USR) within the administrative boundaries of the Górnośląsko-Zagłębiowska Metropolis (GZM) is presented. Based on probability analysis this study hierarchized the role of the selected weather elements in the development of surface-based temperature inversion (SBI) and air quality (AQ). The thresholds of weather elements for a rapid increase in the probability of oppressive air pollution episodes were distinguished. Although most SBI occurred in summer winter SBIs were of great importance. In that season a bad air quality occurred during >70% of strong inversions and >50% of moderate inversions. Air temperature more strongly triggered AQ than SBI development. Wind speed was critical for SBI and significant for AQ development. A low cloudiness favored SBI occurrence altered air quality in winter and spring during SBI and favored very bad AQ5 (>180 µg/m3) occurrence. The probability of high air pollution enhanced by SBI rapidly increased in winter when the air temperature dropped below −6 °C the wind speed decreased below 1.5 m/s and the sky was cloudless. Changes in the relative humidity did not induce rapid changes in the occurrence of bad AQ events during SBI. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85123593048,

title = {Determinants of marginal area reforestation in the Western Carpathians in the light of consecutive aerial photographs},

author = { M. Sobala},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123593048&doi=10.1007%2fs12518-022-00418-2&partnerID=40&md5=4fd26f0f49b1bc77b721d81423162a72},

doi = {10.1007/s12518-022-00418-2},

issn = {18669298},

year  = {2022},

date = {2022-01-01},

journal = {Applied Geomatics},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {The quantification of reforestation on abandoned land is of high importance due to various environmental and socio-economic consequences. This article aims to determine the role of different factors in the reforestation of abandoned plots in particular mid-forest glades in the higher parts of the Western Carpathians and to detect the feature of plots covered prevalently with forest. The Reforestation Index (RI) was used to detect changes in reforestation. Bayesian multilevel zero-one inflated beta regression was used to determine the predictors of reforestation. Using the series of consecutive aerial photographs enabled the differences between features of plots with a faster rate of reforestation and plots covered entirely with forest to be shown. The most rapid changes in the RI were observed in plots with the lowest level of solar radiation (north exposure). In contrast, the highest RI concerns plots with south exposure, the highest mean slope, and within plots partly forested in the first year of observation. Such an attitude is crucial for areas where the precise date of land abandonment is unknown because it enables a determination of which type of plot was abandoned first. © 2022, The Author(s).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85123678976,

title = {Complete reconstruction of the process and conditions during gold smelting in the 15th–17th centuries in Złoty Stok based on metallurgical slags},

author = { R. Warchulski and K. Kupczak and A. Gawęda and R. Sitko},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123678976&doi=10.1111%2farcm.12752&partnerID=40&md5=42bca27f554fb8d49e9fa8c42bfef052},

doi = {10.1111/arcm.12752},

issn = {0003813X},

year  = {2022},

date = {2022-01-01},

journal = {Archaeometry},

publisher = {John Wiley and Sons Inc},

abstract = {This study presents the first complete reconstruction of gold metallurgy in Złoty Stok, Poland. The key parameters of the process (i.e., temperature of smelting and solidification, melt viscosity, oxygen fugacity) are calculated using the remnants of the process: metallurgical slags. The slags consist of silicate phases (i.e., olivine, pyroxene), sulfides and arsenides (i.e., pyrrhotite, Fe2As), as well as glass. These slags are chemically dominated by SiO2 (< 56.60 wt%), MgO (< 18.36 wt%), FeO (< 15.36 wt%), and CaO (< 15.19 wt%). The obtained results indicate that the temperature during the metallurgical process was at least 1300–1350°C, and crystallization of the slags took place until they cooled to < 1200°C. The morphology of olivine crystals in the slags indicates large differences in their cooling rate, from 5 to 300°C/h. Strongly reducing conditions during the metallurgical process (−10.5 to −11.5 log fO2) was confirmed. Low melt viscosity (logƞ = 0.26 – 0.90 Pa s) facilitated the separation of the sulfide melt rich in gold from the silicate melt being the slag precursor. The obtained results allowed existing descriptions of the smelting process in Złoty Stok to be corrected. © 2022 The Authors. Archaeometry © 2022 University of Oxford},

keywords = {},

pubstate = {published},

tppubtype = {article}

}