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SSRN 2024年

作者： Wilczyński, Slawomir Danek, Malgorzata Danek, Tomasz Department of Forest Ecosystem Protection Faculty of Forestry University of Agriculture in Krakow Al. 29 Listopada 46 Kraków31-425 Poland Department of Geoinformatics and Applied Computer Science Faculty of Geology Geophysics and Environmental Protection AGH University of Krakow Al. Mickiewicza 30 Kraków30-059 Poland

One consequence of climate change is the rapid extinction of spruce monocultures in the Carpathians. Therefore, the need has arisen to replace spruce with other highly productive species that ensure the stability and biodiversity of mountain forests, such as the Abies alba and Larix decidua. These co-occurring conifers show different successional and phenological characteristics: L. decidua is a light-demanding species that dominates in the early successional stages, while A. alba is a moderately shade-tolerant tree. This study attempts to identify climatic factors that determine the tree-ring width of fir and larch in order to assess the growth prospects of these species in the context of the ongoing climate change. Tree-ring width chronologies of 42 sub-populations of fir and 36 of larch from the area of the Western Carpathians were used. Regional growth patterns for each species were used to estimate the relationship between temperature/precipitation and radial growth. Linear correlation analyses and nonlinear Random Forest models were used. Fir growth was significantly positively influenced by the high temperature of January–March and July and the high precipitation of February and July of the year of tree-ring formation. Larch growth was positively affected by the high temperature of May and the low precipitation of April and September of the year of tracheid formation. Unlike larch, fir growth increased if May and June of the preceding year were warm. The dominant climatic factor influencing fir growth was February temperature, whereas larch growth was influenced mainly by the May temperature of the year of tree-ring formation. Most of the recently observed changes in climatic factors that are important for the growth of both species are favorable. Thus, increasing the share of both species in the Carpathian forests seems fully justified as this will contribute to the stability, productivity, and biodiversity of the region’s forests. © 2024, The Authors. All r

关键词： Climate change

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Watershed delineation in South Bengal Ganges Delta Region of Bangladesh using satellite imagery and digital elevation model

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Arabian Journal of Geosciences 2022年第10期15卷 1-10页

作者： Karmaker, Sourav Sheikh, Shahjahan Islam, Md. Shafiqul Nisha, Rifat Sharmin Department of Geo-Information Science and Earth Observations Patuakhali Science and Technology University Patuakhali Bangladesh Faculty of Computer Science Mathematics and Geoinformatics Stuttgart University of Applied Sciences Stuttgart Germany Faculty of Environmental Science and Disaster Management Patuakhali Science and Technology University Patuakhali Bangladesh Key Lab of Urban Environment and Health Institute of Urban Environment Chinese Academy of Sciences Xiamen China University of Chinese Academy of Sciences Beijing China

Coastal Bangladesh has experienced large scale changes in erosion and deposition in the Meghna Estuary and the big islands due to the Ganges–Brahmaputra-Meghna stream background. Also, the coastal area is prone to natural disasters almost in every year which creates a change in the ground water level, increases the surface water infiltration, soil salinity, and flood level. Considering these facts of the coastal area of Bangladesh, watershed delineation can contribute to proper planning and management of watershed to mitigate the surface and groundwater problems. Therefore, in this paper GIS and remote sensing techniques were used to identify the exact water course using spatial data to know the current watershed condition of the South Ganges Delta Region of Bangladesh. Here, Hydrology Toolset was utilized to analyze and identify correct watershed flow direction, network density, and confluence thresholds using digital elevation model (DEM) of the study area. The well-known D8 algorithm deployed to calculate the stream flow from each cell to its downslope neighbor and 100–1500 thresholds to determine the flow directions and transform the streams into line features for watershed network density measurement. The results showed that the length and density of the networks were proportional to the threshold. In consequence, the density of the stream network increased dramatically with the soaring of thresholds. Therefore, the results also revealed that when the convergence threshold set to 900, the extracted stream network appeared the closest to the exact water flow in the research area. It showed various sharp flows of the stream network, their length and density, as well as the convergence threshold. The findings of this study can help to quantify the watershed basin and river flow watercourses that can contribute to plan and manage future flood forecasting method of the study region.

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Evaluating the potential of Pinus strobus, Pinus nigra, and Pinus rigida as alternatives to Pinus sylvestris in central Europe's changing climate

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Forest Ecology and Management 2025年 589卷

作者： Wilczyński, Slawomir Danek, Tomasz Danek, Malgorzata Banach, Jacek Department of Forest Ecosystem Protection Faculty of Forestry University of Agriculture in Krakow Al. 29 Listopada 46 Kraków31-425 Poland Department of Geoinformatics and Applied Computer Science Faculty of Geology Geophysics and Environmental Protection AGH University of Krakow Al. Mickiewicza 30 Kraków30-059 Poland Department of Ecology and Silviculture University of Agriculture in Krakow Al. 29 Listopada 46 Kraków31-425 Poland

The observed weakening and dying of Pinus sylvestris in central Europe has prompted a search for species that can replace it. For this purpose, historical late 19th-century survey plots in southern Poland containing Pinus sylvestris and three non-native species, i.e., Pinus strobus, Pinus rigida, and Pinus nigra, were analyzed. The width of annual tree-ring growth was used to measure the effect of climatic variability on tree growth. The climate–growth relationship was analyzed using multivariate methods, linear correlation, and machine learning, which enabled the identification of nonlinearities that would otherwise remain hidden. Temporal variability of these relationships was considered. The pines’ growth was significantly affected by winter temperatures, but March temperature was the dominant growth factor for P. sylvestris, P. rigida and P. nigra. Average March temperatures of 0°C and 5°C were found to be the threshold values, below and above which the effect of temperature on tree-ring growth remained constant. For July precipitation, which is the dominant climatic growth factor for P. strobus, these thresholds were 70 and 120 mm. P. strobus had the largest growth during the analyzed period. High April temperatures for P. rigida, cool May conditions favorable for P. nigra, and low December temperatures beneficial for P. strobus, could serve as distinguishing characteristics for these species under analyzed conditions. Water deficiency in early spring and in the summer negatively affected the growth of all the studied pine species. None of the analyzed non-native species appears suitable for large-scale replacement of P. sylvestris. © 2025 The Authors

关键词： Global warming

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Selecting velocity models using Bayesian information criterion

arXiv

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arXiv 2020年

作者： Danek, Tomasz Gierlach, Bartosz Kaderali, Ayiaz Slawinski, Michael A. Stanoev, Theodore AGH University of Science and Technology Department of Geoinformatics and Applied Computer Science Krakow Poland Memorial University of Newfoundland Department of Earth Sciences St. John’s Canada

We present a strategy for selecting the values of elasticity parameters by comparing walkaway vertical seismic profiling data with a multilayered model in the context of Bayesian Information Criterion. We consider P-wave traveltimes and assume elliptical velocity dependence. The Bayesian Information Criterion approach requires two steps of optimization. In the first step, we find the signal trajectory and, in the second step, we find media parameters by minimizing the misfit between the model and data. Copyright © 2020, The Authors. All rights reserved.

关键词： Seismic waves

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VSP data inversion for vertical velocity gradient and elliptical anisotropy model 5

VSP data inversion for vertical velocity gradient and ellipt...

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5th International Conference on applied Geophysics, AG 2019

作者： Gierlach, Bartosz Danek, Tomasz Kaderali, Ayiaz AGH University of Science and Technology Department of Geoinformatics and Applied Computer Sciences Krakow30-065 Poland Husky Energy Inc. St. John's Canada

Inversion of velocity parameters for the walkaway VSP data in a multilayered medium can be impeded by velocity gradients and anisotropy in some layers. A problem occurs if we compare velocities obtained from borehole seismic profiling which are equal to their vertical components with the velocities calculated with paths coming from far offsets where the horizontal component plays an important role, especially when the vertical gradient exists and the ray paths are curve-shaped. In this contribution we present the results of velocity model inversion for VSP data considering velocity gradient and elliptical anisotropy. The algorithm consists of two steps, optimization of velocity parameters and optimization of ray paths for the given model. Both procedures use the Nelder-Mead simplex method which finds local minima. Due to the character of optimization we performed also multistart analysis which can provide information about possible equivalences between parameters. Analysis was conducted for different parameterizations, in some cases allowing introduction of additional parameters: vertical gradient and elliptical anisotropy coefficient. The optimal model for a specific set of data is chosen with the help of Bayesian Information Criterion to balance complexity of model with quality of approximation of traveltimes. © 2019 The Authors, published by EDP sciences.

关键词： Velocity

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Some statistical consideration of azimuth and inclination angles determination based on walk-away VSP data in Python 5

Some statistical consideration of azimuth and inclination an...

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5th International Conference on applied Geophysics, AG 2019

作者： Zarȩba, Mateusz Danek, Tomasz Stefaniuk, Michal AGH University of Science and Technology Department of Geoinformatics and Applied Computer Science Krakow Poland AGH University of Science and Technology Department of Fossil Fuels Krakow Poland GK Processing R and D Department of Seismic Signal Processing Center Balice Poland

It is a common knowledge that proper inclinations and azimuth angle determination is a critical step in processing and interpretation of walk-away VSP data. Additionally, an in-depth analysis of the uncertainty of these interpreted values requires the introduction of measurement errors. In this contribution, we present a statistical analysis of obtained polarization angles from three-component, multi-depth level, walk-away VSP using Python 3 programming language. Our analysis is presented in the context of different processing sequences and correlation with local features of the geological medium. We show that the obtained values of polarization angles and their errors can be strongly affected by processing sequence and-when done correctly-can give addition inside into features of analysis medium. Moreover, in some cases, even a presence of saturation can be express by polarization angles variations. Additionally, we examined the impact of well-casing on interpretational values of polarization angles. © 2019 The Authors, published by EDP sciences.

关键词： Python

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Nonlinear anisotropic diffusion techniques for seismic signal enhancing - Carpathian Foredeep study 4

Nonlinear anisotropic diffusion techniques for seismic signa...

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4th International Conference on applied Geophysics, AG 2018

作者： Zareba, Mateusz Danek, Tomasz AGH University of Science and Technology Department of Geoinformatics and Applied Computer Science Cracow Poland

The use of nonlinear anisotropic diffusion algorithm for advanced seismic signal processing in the complicated geological region of Carpathian Foredeep was examined. This technique allows for an improvement of seismic data quality and for more accurate interpretation by the recovery of a significant amount of structural information in the form of a correlating seismic reflections and by preserving true DHI indicators. It also allows searching for more subtle geological structures. Anisotropic diffusion is an iterative image processing algorithm that removes noise by modifying the data by solving partial differential equations. Moreover, it can reduce image noise without blurring the edges between regions of different chrominance or brightness. This filter preserves edges, lines, or other features relevant to the seismic structural and stratigraphic interpretation. The algorithm also enables noise reduction without removing significant information from a seismic section even for high dips values. For a better estimation of anisotropic diffusion structure tensor, the parameterization is done using the depth field and the calculations in the two-way travel time field. The presented research shows the results of using an anisotropic diffusion algorithm for post-stack and migration processing of seismic 3D data collected in Carpathian reservoir rocks of southern Poland. © The Authors, published by EDP sciences, 2018.

关键词： Diffusion

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Monitoring of Inland Surface Water Quality Using Remote Sensing on the Example of Wigry Lake

Monitoring of Inland Surface Water Quality Using Remote Sens...

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2018 Seminary on Geomatics, Civil and Environmental Engineering, BGC 2018

作者： Lupa, Michal Adamek, Katarzyna Stypień, Renata Sarlej, Wojciech AGH University of Science and Technology Department of Geoinformatics and Applied Computer Science Kraków Poland

The study examines how LANDSAT images can be used to monitor inland surface water quality effectively by using correlations between various indicators. Wigry lake (area 21.7 km2) was selected for the study as an example. The study uses images acquired in the years 1990-2016. Analysis was performed on data from 35 months and seven water condition indicators were analyzed: turbidity, Secchi disc depth, Dissolved Organic Material (DOM), chlorophyll-a, Modified Normalized Difference Water Index (MNDWI), Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI). The analysis of results also took into consideration the main relationships described by the water circulation cycle. Based on the analysis of all indicators, clear trends describing a systematic improvement of water quality in Lake Wigry were observed. © 2018 The Authors, published by EDP sciences.

关键词： Lakes

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Inversion of velocity parameters in multilayered elliptical anisotropy medium - Synthetic data example 4

Inversion of velocity parameters in multilayered elliptical ...

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4th International Conference on applied Geophysics, AG 2018

作者： Gierlach, Bartosz Danek, Tomasz AGH University of Science and Technology Department of Geoinformatics and Applied Computer Sciences Cracow Poland

In the medium composed of parallel sedimentary layers, model of elliptic anisotropy is often better approximation of real conditions than simple layers with constant velocity. In such model a velocity is described with 3 parameters: a, b (responsible for vertical velocity and its gradient) and χ - elliptic anisotropy coefficient, describing changes of velocity with direction of wave propagation. In this case, seismic rays are no longer straight lines but elliptic-shaped curves. In this contribution we present a tool for inversion of velocity parameters in multilayered medium considering model of elliptic anisotropy. Input data contains measured traveltimes of direct wave between all sources and receivers. The depth of boundaries and existence of elliptic anisotropy in specific layers are not subject of inversion. In order to obtain each synthetic traveltime, necessary for the target function, ray tracing must be carried out using Fermat's principle directly. The optimization in both parameters inversion and ray tracing is local and performed with Simplex algorithm from GSL library. The tests of the tool was conducted on the synthetic data with various types of start model containing one or more layers with or without elliptic anisotropy. © The Authors, published by EDP sciences, 2018.

关键词： Anisotropy

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Geographic information science in the era of geospatial big data: A cyberspace perspective

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The Innovation 2022年第5期3卷 21-22页

作者： Xintao Liu Min Chen Christophe Claramunt Michael Batty Mei-Po Kwan Ahmad MSenousi Tao Cheng Josef Strobl Arzu Cöltekin John Wilson Temenoujka Bandrova Milan Konecny Paul MTorrens Fengyuan Zhang Li He Jinfeng Wang Carlo Ratti Olaf Kolditz Alexander Klippel Songnian Li Hui Lin Guonian Lu Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic UniversityHong Kong SARKowloonChina Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China The French Naval Academy Research Institute 29240 Lanveoc-PoulmicFrance The Bartlett Centre for Advanced Spatial Analysis(CASA) University College London(UCL)WC1E 6BT LondonUK Institute of Space and Earth Information Science The Chinese University of Hong KongHong Kong SARShatin 999077China Department of Civil Engineering Cairo University12613 CairoEgypt SpaceTimeLab Department of CivilEnvironmental and Geomatic EngineeringUniversity College London(UCL)WC1E 6BT LondonUK Department of Geoinformatics University of Salzburg5020 SalzburgAustria Institute of Interactive Technologies(IIT) University of Applied Sciences and Arts Northwestern Switzerland FHNW5210 WindischSwitzerland Spatial Sciences Institute University of Southern CaliforniaLos AngelesCA 90007USA Laboratory on Cartography Department of Photogrammetry and CartographyUniversity of ArchitectureCivil Engineering and Geodesy1164 SofiaBulgaria Laboratory on Geoinformatics and Cartography Department of GeographyMasaryk University61137 BrnoCeskáRepublika Computer Science and Engineering Tandon School&Center for Urban Science+ProgressNew York UniversityNew YorkNY 10012USA School of Humanities and Social Science Xi’an Jiaotong UniversityXi’an 710049China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Department of Urban Studies and Planning Massachusetts Institute of TechnologyCambridgeMA 02139USA Centre for Environmental Research Helmholtz Centre for Environmental Research-UFZ04318 LeipzigGermany Laboratory of Geo-information Science and Remote Sensing Wageningen University&ResearchWageningen 6708the Netherlands Department of Civil Engineering Toronto Metropolitan UniversityTorontoON M5B 2K3Canada School of Geography and Env

The advent of information and communication technology and the Internet of Things have led our society toward a digital *** proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive network interactions with individuals have gradually shifted human activities from offline to online and from in person to *** transformation has brought a series of challenges in a variety of fields,such as the dilemma of placelessness,some aspects of timelessness(no time relevance),and the changing relevance of distance in the field of geographic information science(GIscience).In the last two decades,“cyber thinking”in GIscience has received significant attention from different *** instance,human activities in“cyberspace”need to be reconsidered when coupled with the geographic space to observe the first law of geography.

关键词： computer cyber instance

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