O. Adeaga, O. Lawal, O. Adedeji, Olutosin Akinbaloye
The drastic vegetation loss of about 22% in 12 years across agro-ecological zones (AEZs) in Nigeria, which can be attributed to the impact of climate and anthropogenic activities on vegetation dynamics within the context of socio-economics, calls for concern. In this study, remotely sensed data from the European Space Agency Land Use/Land Cover dataset, TAMSAT rainfall data, and MODIS NDVI dataset were used to examine changes in vegetation dynamics and monitor vegetation health in the AEZs based on the Normalised Difference Vegetation Index (NDVI). The study showed that vegetation cover has been decreasing tremendously at an alarming rate in most of the zones, while different drivers (change agents) have been responsible for the losses. The analysis shows that, between 2003 and 2018, the forestland cover gained 9,768.88 km2 and lost 40,891.6 km2, with a total net decrease of 31,122.73 km2. Contribution to the net change in forestland is usually converted to wetland, urban, cropland and grassland, across the varied ecosystem. The need for up to-date and accurate land-cover information is key to developing an appropriate mitigation strategy within the context of socio-economic sustainability across AEZs in Nigeria.
{"title":"Assessment of vegetation cover dynamics in the agro-ecological Zones of Nigeria","authors":"O. Adeaga, O. Lawal, O. Adedeji, Olutosin Akinbaloye","doi":"10.12775/bgeo-2022-0002","DOIUrl":"https://doi.org/10.12775/bgeo-2022-0002","url":null,"abstract":"The drastic vegetation loss of about 22% in 12 years across agro-ecological zones (AEZs) in Nigeria, which can be attributed to the impact of climate and anthropogenic activities on vegetation dynamics within the context of socio-economics, calls for concern. In this study, remotely sensed data from the European Space Agency Land Use/Land Cover dataset, TAMSAT rainfall data, and MODIS NDVI dataset were used to examine changes in vegetation dynamics and monitor vegetation health in the AEZs based on the Normalised Difference Vegetation Index (NDVI). The study showed that vegetation cover has been decreasing tremendously at an alarming rate in most of the zones, while different drivers (change agents) have been responsible for the losses. The analysis shows that, between 2003 and 2018, the forestland cover gained 9,768.88 km2 and lost 40,891.6 km2, with a total net decrease of 31,122.73 km2. Contribution to the net change in forestland is usually converted to wetland, urban, cropland and grassland, across the varied ecosystem. The need for up to-date and accurate land-cover information is key to developing an appropriate mitigation strategy within the context of socio-economic sustainability across AEZs in Nigeria.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87443214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Channel migration and resultant meander movements are the two important fluvial processes found in the riparian environment of a river basin. The present research explores the changing nature of the meander movements and meander geometry of the Raidak-I River in the Himalayan foothill region using geospatial tools. The study incorporated Landsat data (satellite imageries) for the years 1972, 1980, 1988, 2004, 2012 and 2021 and the whole study has been segmented into five periods i.e., 1972–1980, 1980–1988, 1988–2004, 2004–2012 and 2012–2021 to examine which type of meander movement dominates in the Raidak-I River within a particular time frame and how the nature of the meander movements is being changed over time. Bank lines of different periods have been superimposed with the help of the overlay analysis method in ArcGIS software (Version 10.8) to obtain the results. Furthermore, Arc-Extension tools have also been used to measure the meander geometry. Twelve active river bends have been identified to study meander geometry of sinuosity indices, meander length, meander width, meander-ratio, channel width and radius of curvature from 1972 to 2021. Initially, lateral movements predominated but, in the late-stage, rotational movement became much more prominent, which indicates dynamicity of the river channel in recent time. The cross-sectional study revealed that a convex bank has frequently been replaced with a concave bank and vice versa. The study finds human intervention – especially the construction of embankments – is the main reason behind such meander dynamics. The method we have used here is very simple, and thus can be considered for any part of the world and is very beneficial for identifying suitable sites for embankment construction, river restoration and channel management.
{"title":"Integrating geospatial techniques and field survey to assess the changing nature of meander movements and meander geometry of Raidak-I River in the Himalayan foothills, West Bengal","authors":"Md. Hasanuzzaman, Mehedi Hasan Mandal, S. Mandal","doi":"10.12775/bgeo-2022-0001","DOIUrl":"https://doi.org/10.12775/bgeo-2022-0001","url":null,"abstract":"Channel migration and resultant meander movements are the two important fluvial processes found in the riparian environment of a river basin. The present research explores the changing nature of the meander movements and meander geometry of the Raidak-I River in the Himalayan foothill region using geospatial tools. The study incorporated Landsat data (satellite imageries) for the years 1972, 1980, 1988, 2004, 2012 and 2021 and the whole study has been segmented into five periods i.e., 1972–1980, 1980–1988, 1988–2004, 2004–2012 and 2012–2021 to examine which type of meander movement dominates in the Raidak-I River within a particular time frame and how the nature of the meander movements is being changed over time. Bank lines of different periods have been superimposed with the help of the overlay analysis method in ArcGIS software (Version 10.8) to obtain the results. Furthermore, Arc-Extension tools have also been used to measure the meander geometry. Twelve active river bends have been identified to study meander geometry of sinuosity indices, meander length, meander width, meander-ratio, channel width and radius of curvature from 1972 to 2021. Initially, lateral movements predominated but, in the late-stage, rotational movement became much more prominent, which indicates dynamicity of the river channel in recent time. The cross-sectional study revealed that a convex bank has frequently been replaced with a concave bank and vice versa. The study finds human intervention – especially the construction of embankments – is the main reason behind such meander dynamics. The method we have used here is very simple, and thus can be considered for any part of the world and is very beneficial for identifying suitable sites for embankment construction, river restoration and channel management.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81111289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper provides an assessment of long-term trends in total cloud cover in the Arctic for the period 1985–2020 based on surface observations. Analysis shows that total cloud cover exhibits a substantial variation both between seasons and from year to year. Two areas of positive trends were found in the total cloud cover from October to April over the Arctic: one in the North Atlantic from 20° W up to 90° E and another from 150° E up to 150° W, which may be a result of atmospheric heat and moisture transport through the Atlantic and Pacific gates. Throughout the year, positive trends dominate over the Arctic Ocean and its seas (except for the Laptev Sea). Negative trends prevail over the continental parts of the Arctic
{"title":"Long-term trends in total cloud cover in the Arctic based on surface observations in 1985–2020","authors":"P. Sviashchennikov, Aleksandr Drugorub","doi":"10.12775/bgeo-2022-0003","DOIUrl":"https://doi.org/10.12775/bgeo-2022-0003","url":null,"abstract":"This paper provides an assessment of long-term trends in total cloud cover in the Arctic for the period 1985–2020 based on surface observations. Analysis shows that total cloud cover exhibits a substantial variation both between seasons and from year to year. Two areas of positive trends were found in the total cloud cover from October to April over the Arctic: one in the North Atlantic from 20° W up to 90° E and another from 150° E up to 150° W, which may be a result of atmospheric heat and moisture transport through the Atlantic and Pacific gates. Throughout the year, positive trends dominate over the Arctic Ocean and its seas (except for the Laptev Sea). Negative trends prevail over the continental parts of the Arctic","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82769071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract As of the beginning of September 2021, the COVID-19 outbreak has lasted for more than 1.5 years in Indonesia, especially on Java and Bali islands. Yogyakarta Special Region, Indonesia, is one of the areas that continued to impose restrictions on community activities at the highest level for that period. This is due to the high rate of COVID-19 spread in this region. In this paper, the influence of landscape and meteorological parameters on the spread of COVID-19 risk in Yogyakarta is investigated. This study utilises primary and secondary data obtained from observation, remote-sensing-image interpretation, literature study and data documented by several agencies. The data were statistically analysed using simple linear regression and Geographic Information System (GIS) analysis utilising the average nearest neighbour. The results show that the variation in landscape and meteorological parameters in the Yogyakarta area does not have a significant impact on the spread of COVID-19. Ease of accessibility in various areas of Yogyakarta is able to overcome landscape barriers. This affects the random distribution pattern of COVID-19, clustering in plain areas that facilitate population mobility rather than in mountainous, volcanic or karst areas. Also, meteorological conditions with small variations do not impact the spread of COVID-19. In summary, this study shows that ease of mobility in a medium-wide area can encourage the spread of COVID-19 in various regions even though there are variations in its terrain and climate.
{"title":"The relationship between landscape and meteorological parameters on COVID-19 risk in a small-complex region of Yogyakarta, Indonesia","authors":"S. Purwantara, A. Ashari, S. T. Putro","doi":"10.2478/bgeo-2021-0007","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0007","url":null,"abstract":"Abstract As of the beginning of September 2021, the COVID-19 outbreak has lasted for more than 1.5 years in Indonesia, especially on Java and Bali islands. Yogyakarta Special Region, Indonesia, is one of the areas that continued to impose restrictions on community activities at the highest level for that period. This is due to the high rate of COVID-19 spread in this region. In this paper, the influence of landscape and meteorological parameters on the spread of COVID-19 risk in Yogyakarta is investigated. This study utilises primary and secondary data obtained from observation, remote-sensing-image interpretation, literature study and data documented by several agencies. The data were statistically analysed using simple linear regression and Geographic Information System (GIS) analysis utilising the average nearest neighbour. The results show that the variation in landscape and meteorological parameters in the Yogyakarta area does not have a significant impact on the spread of COVID-19. Ease of accessibility in various areas of Yogyakarta is able to overcome landscape barriers. This affects the random distribution pattern of COVID-19, clustering in plain areas that facilitate population mobility rather than in mountainous, volcanic or karst areas. Also, meteorological conditions with small variations do not impact the spread of COVID-19. In summary, this study shows that ease of mobility in a medium-wide area can encourage the spread of COVID-19 in various regions even though there are variations in its terrain and climate.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86123495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Riverbank erosion is one of the most hazardous disaster types for Bangladesh. It has both a direct and a negative impact on people and their livelihoods. This study aims to explore the impacts of Meghna riverbank erosion and the coping strategies that have been adopted by the affected people to combat this calamity, considering four unions under Matlab Uttar of Chadpur District. The findings reveal that the occupational status, income and expenditure of the affected people have changed due to erosion. Ninety-one percent of the respondents’ houses were fully damaged and 48% of them are living in shelter houses. The results also show that a large portion of the affected populace lost their assets and most of them are suffering from psychological distress. Around 87% of people borrowed money to cope with this hazard, and a strict law against sand dredging is recommended as one of the effective strategies to prevent Meghna river bank erosion.
{"title":"Meghna riverbank erosion on lives and livelihoods of rural people: impacts and coping strategies","authors":"Halima, Amima Najnin Maria","doi":"10.2478/bgeo-2021-0004","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0004","url":null,"abstract":"Abstract Riverbank erosion is one of the most hazardous disaster types for Bangladesh. It has both a direct and a negative impact on people and their livelihoods. This study aims to explore the impacts of Meghna riverbank erosion and the coping strategies that have been adopted by the affected people to combat this calamity, considering four unions under Matlab Uttar of Chadpur District. The findings reveal that the occupational status, income and expenditure of the affected people have changed due to erosion. Ninety-one percent of the respondents’ houses were fully damaged and 48% of them are living in shelter houses. The results also show that a large portion of the affected populace lost their assets and most of them are suffering from psychological distress. Around 87% of people borrowed money to cope with this hazard, and a strict law against sand dredging is recommended as one of the effective strategies to prevent Meghna river bank erosion.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79109554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The following study identifies areas where adverse conditions related to benzene pollution are concurrent with leukaemia incidence and mortality (C91–C95). Moreover, it determines the similarities between benzene and leukaemia levels, as well and rules defining their co-occurrence. The analysis covered the period of 2015–2017. Data were obtained from Dane.gov.pl (number of leukaemia cases), the Polish National Cancer Registry website (number of deaths), the Local Data Bank of the Central Statistical Office (population data) and the Chief Inspectorate of Environmental Protection and the Air Quality Portal (data on air quality). Based on the conducted analysis, it was concluded that the following poviat towns have an unfavourable epidemic situation related to leukaemia: Kielce (incidence), Rzeszów (incidence), Elbląg (mortality); meanwhile, high leukaemia incidence and mortality co-occurred with high average benzene concentration in 2015–2017 in the following poviat towns: Kielce, Rybnik, Płock and Rzeszów. It was found that leukaemias belonging to the three-character ICD-10 categories C94, C95 and C92 show the highest rate of co-occurrence with benzene concentration. In addition, two main rules for the co-occurrence of benzene pollution and leukaemia were identified. It was also noted that it is necessary to continue the research for a longer time period, especially in the poviat towns of Kielce and Rzeszów.
{"title":"The influence of benzene air pollution on leukemia incidence and mortality rates","authors":"A. Pilarska, A. Pospieszyńska","doi":"10.2478/bgeo-2021-0001","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0001","url":null,"abstract":"Abstract The following study identifies areas where adverse conditions related to benzene pollution are concurrent with leukaemia incidence and mortality (C91–C95). Moreover, it determines the similarities between benzene and leukaemia levels, as well and rules defining their co-occurrence. The analysis covered the period of 2015–2017. Data were obtained from Dane.gov.pl (number of leukaemia cases), the Polish National Cancer Registry website (number of deaths), the Local Data Bank of the Central Statistical Office (population data) and the Chief Inspectorate of Environmental Protection and the Air Quality Portal (data on air quality). Based on the conducted analysis, it was concluded that the following poviat towns have an unfavourable epidemic situation related to leukaemia: Kielce (incidence), Rzeszów (incidence), Elbląg (mortality); meanwhile, high leukaemia incidence and mortality co-occurred with high average benzene concentration in 2015–2017 in the following poviat towns: Kielce, Rybnik, Płock and Rzeszów. It was found that leukaemias belonging to the three-character ICD-10 categories C94, C95 and C92 show the highest rate of co-occurrence with benzene concentration. In addition, two main rules for the co-occurrence of benzene pollution and leukaemia were identified. It was also noted that it is necessary to continue the research for a longer time period, especially in the poviat towns of Kielce and Rzeszów.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82240201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This paper contains a description of nephological conditions in the Bydgoszcz area based on data sourced from the Bydgoszcz-Airport weather station for 1971–2010. In the analysed forty-year period from 1971 to 2010 the average annual total cloud cover in Bydgoszcz – measured on a scale of 0–8 – was 5.5; for the warm season (April – September) it was 5.1, and for the cold season (October – March) 5.8. This corresponds to, respectively, 69, 64 and 72% coverage of the sky by cloud. Cloud cover was largest from November to February (6.1–5.8) and smallest in August (4.7). In 1971–2010, the average mean cloud cover value (scale 0–8) decreased from 5.6 in 1971–1990 to 5.4 in the multi-annual period 1991–2010 (by 0.05 per 10 years).
{"title":"Variability of nephological conditions in 1971–2010 based on measurements made at Bydgoszcz-Airport weather station","authors":"E. Łaszyca","doi":"10.2478/bgeo-2021-0006","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0006","url":null,"abstract":"Abstract This paper contains a description of nephological conditions in the Bydgoszcz area based on data sourced from the Bydgoszcz-Airport weather station for 1971–2010. In the analysed forty-year period from 1971 to 2010 the average annual total cloud cover in Bydgoszcz – measured on a scale of 0–8 – was 5.5; for the warm season (April – September) it was 5.1, and for the cold season (October – March) 5.8. This corresponds to, respectively, 69, 64 and 72% coverage of the sky by cloud. Cloud cover was largest from November to February (6.1–5.8) and smallest in August (4.7). In 1971–2010, the average mean cloud cover value (scale 0–8) decreased from 5.6 in 1971–1990 to 5.4 in the multi-annual period 1991–2010 (by 0.05 per 10 years).","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85427587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The paper states that geodiversity is the abiotic complement to biodiversity, and is considered to be the elements associated with the abiotic environment, e.g. geological diversity, geomorphodiversity, pedodiversity, hydrodiversity and climodiversity. Geoheritage is considered as the geological heritage of a site, but is here presented as the abiotic heritage of a site, and is related to geological heritage, geomorphoheritage, pedoheritage, hydroheritage and climoheritage. Thus, it is possible to talk about geological sites, geomorphosites, pedosites, hydrosites and climosites. Geodiversity and geoheritage are strongly linked to geology. However, it is also a new paradigm to geography, as physical geography classically works with abiotic and biotic environments.
{"title":"Geodiversity and geoheritage in the perspective of geography","authors":"Vanda Claudino-Sales","doi":"10.2478/bgeo-2021-0008","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0008","url":null,"abstract":"Abstract The paper states that geodiversity is the abiotic complement to biodiversity, and is considered to be the elements associated with the abiotic environment, e.g. geological diversity, geomorphodiversity, pedodiversity, hydrodiversity and climodiversity. Geoheritage is considered as the geological heritage of a site, but is here presented as the abiotic heritage of a site, and is related to geological heritage, geomorphoheritage, pedoheritage, hydroheritage and climoheritage. Thus, it is possible to talk about geological sites, geomorphosites, pedosites, hydrosites and climosites. Geodiversity and geoheritage are strongly linked to geology. However, it is also a new paradigm to geography, as physical geography classically works with abiotic and biotic environments.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88319102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The model was constructed based on GIS spatial analyses, combined with Analytic Hierarchy Process (AHP) and Multi-Criterion Analysis method (MCA). The data gathered for the study were mainly from remote-sensing images, statistical data and surveys. Field experiments were conducted in Trinh Tuong Commune, Bat Xat District, Lao Cai province. This is a typical remote mountainous region of Vietnam in which flash floods often occur. The study analyzes and evaluates six primary factors that incite flash flood, namely: geomorphological characteristics, soil properties, forest and fractional vegetation cover types, local drainage basin slopes, maximum average rainfall of various years, and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 19.91% of the area had an extremely high risk of flash flood occurrence, 64.92% of the area had a medium risk, and 15.17% had a low or very low risk. Based on the employment of daily maximum rainfalls as the primary factor, an online flash flood warning model was constructed for areas with a “high” or “very high” risk of flash flood occurrence.
{"title":"Application of geospatial technologies in constructing a flash flood warning model in northern mountainous regions of Vietnam: a case study at TrinhTuong commune, Bat Xat district, LaoCai province","authors":"Q. Kieu, D. V. Tran","doi":"10.2478/bgeo-2021-0003","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0003","url":null,"abstract":"Abstract The model was constructed based on GIS spatial analyses, combined with Analytic Hierarchy Process (AHP) and Multi-Criterion Analysis method (MCA). The data gathered for the study were mainly from remote-sensing images, statistical data and surveys. Field experiments were conducted in Trinh Tuong Commune, Bat Xat District, Lao Cai province. This is a typical remote mountainous region of Vietnam in which flash floods often occur. The study analyzes and evaluates six primary factors that incite flash flood, namely: geomorphological characteristics, soil properties, forest and fractional vegetation cover types, local drainage basin slopes, maximum average rainfall of various years, and the river/stream density of the region. The zoning map showing flash flood potentials has determined that 19.91% of the area had an extremely high risk of flash flood occurrence, 64.92% of the area had a medium risk, and 15.17% had a low or very low risk. Based on the employment of daily maximum rainfalls as the primary factor, an online flash flood warning model was constructed for areas with a “high” or “very high” risk of flash flood occurrence.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74206298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Soil erodibility is one of the crucial parameters for modelling soil erosion, expressed as the K-factor. The presented study tries to illustrate the spatial variance of K-factor on a local scale through the investigation of soil properties and descriptive spatial analysis utilising GIS tools at microscale in a young hummocky moraine landscape in Northern Poland. The results of the interpolation of K-factor values illustrate their changing from high values in eroded pedons on the tops of hummocks to low values in kettle holes. The middle position is occupied by slightly and non-eroded pedons. The mean weight results were very similar to data that were found on the scale of Europe and Poland. In landscapes with heterogeneous soil cover, there are significant differences in maps based on different approaches to data visualisation. There are advantages and disadvantages to both (1) referring to mean values of the K index for soil contours representing different soil types and (2) interpolating the values obtained from individual points (GIS tool). Interpolation can be used for a thoroughly examined area with a high number of input points, while a map based on mean K index values for soil contours would be more effective in homogeneous areas.
{"title":"Microscale spatial variation of soil erodibility factor (K) in a young hummocky moraine landscape in Northern Poland","authors":"Hanna Radziuk, M. Świtoniak, M. Nowak","doi":"10.2478/bgeo-2021-0005","DOIUrl":"https://doi.org/10.2478/bgeo-2021-0005","url":null,"abstract":"Abstract Soil erodibility is one of the crucial parameters for modelling soil erosion, expressed as the K-factor. The presented study tries to illustrate the spatial variance of K-factor on a local scale through the investigation of soil properties and descriptive spatial analysis utilising GIS tools at microscale in a young hummocky moraine landscape in Northern Poland. The results of the interpolation of K-factor values illustrate their changing from high values in eroded pedons on the tops of hummocks to low values in kettle holes. The middle position is occupied by slightly and non-eroded pedons. The mean weight results were very similar to data that were found on the scale of Europe and Poland. In landscapes with heterogeneous soil cover, there are significant differences in maps based on different approaches to data visualisation. There are advantages and disadvantages to both (1) referring to mean values of the K index for soil contours representing different soil types and (2) interpolating the values obtained from individual points (GIS tool). Interpolation can be used for a thoroughly examined area with a high number of input points, while a map based on mean K index values for soil contours would be more effective in homogeneous areas.","PeriodicalId":43256,"journal":{"name":"Bulletin of Geography-Physical Geography Series","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87525060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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