https://apcz.umk.pl/BOGPGS/issue/feedBulletin of Geography. Physical Geography Series2023-12-11T00:00:00+01:00Rajmund Krzysztof Przybylakbgps@umk.plOpen Journal Systems<div align="justify"> <p><strong>eISSN: 2300-8490 </strong></p> <p><strong>ISSN: 2080-7686</strong></p> <p><strong>Publication fee </strong></p> <p>Bulletin of Geography. Physical Geography Series is funded by the Nicolaus Copernicus University in Toruń. For this reason, publication in the Journal is <strong>free of charge.</strong></p> <p><strong>Dear Authors,</strong></p> <p>The main aim of the Bulletin of Geography. Physical Geography Series is to present scientific findings in physical geography and related subjects. The journal covers the following fields/area: climatology, geomorphology, glaciology, hydrology, soil-science, biogeography and research methods in physical geography, with an emphasis on Poland, Europe, and polar regions.</p> </div> <div> <h4>Publish open access in this journal</h4> <p><strong>Journal Indexes</strong></p> <p>Web of Science - Clarivate Analytics (Journal Impact Factor 2022 - 1.5, Five Year - 0.9, JCI 2022 - 0.29 )</p> <p>Scopus (CiteScore 2022 - 2.3, SJR 2022 - 0.248, SNIP 2022 - 0.578)</p> <p>Index Copernicus 2022: 118.31</p> <p>Polish Ministry of Science and Higher Education - 40 points</p> <p>Read <a href="http://wokinfo.com/products_tools/multidisciplinary/esci/">more</a> about ESCI Thomson Reuters.</p> <p> </p> <h4>Publication Ethics and Malpractice</h4> <p>Get to know the publication ethics and malpractice <a href="https://box.pionier.net.pl/f/da858d4b132748a29373/?dl=1">more</a> ...</p> <p> </p> <h4>Frequently Asked Questions </h4> <p>How to create an account, log in, add an article ...? read <a href="https://box.pionier.net.pl/f/db6a9973ce2442c6a120/?dl=1">more</a> ...</p> <p> </p> <p> </p> </div>https://apcz.umk.pl/BOGPGS/article/view/46182Rainwater management in urban areas in Poland: literature review2023-09-13T20:44:25+02:00Adam Piaseckipiasecki@umk.plAgnieszka Pilarskaapilarska@umk.pl<p>The work analyses and evaluates the results of research work carried out so far in the field of rainwater management in urban areas in Poland. Using the "biblioshiny" tool, a bibliometric analysis was carried out based on queries to the Scopus and Web of Science databases. As a result, information was obtained on selected bibliometric statistics of scientific publications in which the topic of rainwater in Poland was taken up. The probable direction of further research development in the field of the analysed issues was also determined. In addition, after a detailed review of all the articles obtained at the earlier stage of the bibliometric analysis, the main research contexts were indicated and discussed. Areas and issues requiring further analysis and supplementation were indicated in the work.</p>2023-12-12T00:00:00+01:00Copyright (c) 2023 Adam Piasecki, Agnieszka Pilarskahttps://apcz.umk.pl/BOGPGS/article/view/44336Changes in precipitation characteristics in Iran2023-06-02T09:28:43+02:00Alireza Sadeghiniaalirezasadeghinia@cfu.ac.irHamid Nazaripour h.nazaripour@gep.usb.ac.irSomayeh Rafatirafati@jau.ac.ir<p>Changes in classified precipitation in Iran and its relationship with global mean surface temperature (GMST) have not been comprehensively investigated. Therefore, this study analyzed changes in precipitation of different intensities over Iran for the 1987–2017 period. Results show that the total annual precipitation (PRCPTOT) and the number of wet days (RR) have significantly decreased over Iran. Also, the mean precipitation intensity (SDII) has increased somewhat. There is a non-uniform change for three intensity categories of precipitation. The amounts (frequency) of light, moderate, and heavy precipitation have significantly decreased at 47% (57.9%), 18.7% (15.8%), and 3.94% (7.9%) of stations respectively. Therefore, the decrease in the amount and frequency of light and moderate precipitation is more severe than heavy precipitation and the proportion of heavy precipitation to the total annual precipitation has increased somewhat during 1987-2017. Overall, the result shows that the intensity of decreasing trends of amount and frequency of precipitation has increased from the south (east) to the north (west) of Iran. Also, SDII has increased from the south (east) to the north (west) of Iran. The sensitivity value was obtained by calculating the ratio of linear trends of precipitation indices and GMST. The regional median sensitivity and percentage change in PRCPTOT, RR, and SDII per 1-kelvin increase in GMST are -6.1%, -11.2%, and 12.9% respectively. Considering that Iran is located in the arid subtropical region, a significant decrease in the amount and frequency of precipitation may have destructive effects on water resources.</p>2023-12-22T00:00:00+01:00Copyright (c) 2023 Alireza Sadeghinia, Hamid Nazaripour , Somayeh Rafatihttps://apcz.umk.pl/BOGPGS/article/view/46849Thermal regimes of lakes in the southern and eastern part of the Baltic Sea catchment area during the period of climate change2023-11-07T11:52:02+01:00Rajmund Skowronr_skowron@umk.plTomasz Jaszczykt.jaszczyk@mail.utoronto.ca<p> </p> <p>The study covered eleven lakes located in northern Poland and Belarus, aiming to determine the degree and trends of surface water temperature changes for the years 1971–2020 and lake ice cover for the period of 1961–2020 under the influence of ongoing climate changes. The analysis focused on changes and trends in average monthly surface water temperatures (SWT), as well as <br />changes in the onset and end, duration and maximum thickness of ice cover. The average annual surface water temperature increased in the lakes by an average of 0.044°C per year. The lake with the highest trend is Chervonoe, at with 0.066°C per year, while the lowest is 0.029°C per year in Lake Hańcza. The ice cover duration showed a decrease of 0.6 days per year, and there was a reduction in maximum ice thickness of 0.27 cm per year</p> <div id="crx-root" style="all: initial;"> </div>2023-12-30T00:00:00+01:00Copyright (c) 2024 Rajmund Skowron, Tomasz Jaszczykhttps://apcz.umk.pl/BOGPGS/article/view/45022Glacier Retreat and Pro Glacial Lake dynamics of Darma Valley, Central Himalaya, India2023-07-11T23:13:36+02:00Masoom Rezamasoomreza@kunainital.ac.inRamesh Chandra Joshiprof.rcjoshi@kunainital.ac.inChandra Nabiyalsanman.nabiyal91@gmail.comMamta Neginegi.mamta508@gmail.com<p>The physiography and climate of the higher Himalaya are unique in nature. Some phenomenal changes that are dynamic and become inevitable due to global temperature rise, such as variability of glacier cover, lake area and glacier retreat. This study is conducted using remote sensing data. A total of 17 glaciers are mapped using Sentinel-2 (2020), Landsat 5 (1994), and Corona declassified (1966) data. In 1966, the total area of glaciers was 74.309 ± 0.1478 Km<sup>2</sup>, which decreased to 72.072 ± 0.370 Km<sup>2</sup> in 2020. The estimated total loss of glacier area in 54 years (1966-2020) is 2.236 ± 0.016 Km<sup>2</sup>. The average total retreat of the terminus in 54 years is 439.30 ± 13.795 m and the annual retreat is 7.91 ± 0.255 m. In the same valley, 6 (six) major glacial lakes were also observed, with the most expanding lake GLK – 5 expanding by 2010.7 ±30.26% in 54 years.</p>2023-12-30T00:00:00+01:00Copyright (c) 2023 Masoom Reza, Ramesh Chandra Joshi, Chandra Nabiyal, Mamta Negihttps://apcz.umk.pl/BOGPGS/article/view/45420Evaluation of machine learning algorithms for forest species mapping based on Sentinel 2 data: a case study of Ait Bouzid forest (Central High Atlas, Morocco)2023-07-30T15:10:08+02:00Ahmed Barakata.barakat@usms.maMariem Brhaiberhmariem.brhaiberh@gmail.comAbderrahim EttaqySofia147@yahoo.frAafaf El Jazouliafafeljazouli@gmail.comWidad Ennajiwidad.ennaji@gmail.com<p>In arid and semi-arid environments, producing accurate maps of forest tree cover using optical remote sensing data is essential to understand their spatial distributions and dynamics. In this respect, the current study aimed to explore the effectiveness of support vector machine (SVM), K nearest neighbors (KNN), and random forest (RF)machine learning (ML) models to map the forest tree species of Ait Bouzid region (Central High Atlas, Morocco) by using Sentinel-2A data. The results from all models showed that about 19-28%, 21-27%, 16-24%, 15-18%, and 0,3-0,32% of the area was covered by euphorbia, red juniper, cedar, holm oak, bare ground, and water body, respectively. According to the overall accuracy (OA) and kappa coefficient, the SVM classifier showed the highest OA (73%) and kappa (0.66) values, followed by KNN (OA=70%, kappa=0.62) and RF (OA=67%, kappa=0.59). Regarding LC classes, water, bare soil, and holm oak could be identified with the producer's accuracy attaining 100%, while red juniper and cedar were the most challenging classes to determine for all ML classifiers, with the producer's accuracy of 40-50% and 40-67%. This study revealed the potential of ML approaches coupled with multispectral Sentinel-2A data for forest species cartography in arid areas with high accuracy. Furthermore, it provides crucial information about forest tree species distribution for developing forest management plans.</p>2023-12-30T00:00:00+01:00Copyright (c) 2023 Ahmed Barakat, Mariem Brhaiberh, Abderrahim Ettaqy, Aafaf El Jazouli, Widad Ennaji