Pub Date : 2022-08-11DOI: 10.2478/quageo-2022-0029
Agnieszka Glinko, Cezary Kaźmierowski, J. Piekarczyk, Sławomir Królewicz
Abstract Remote sensing techniques based on soil spectral characteristics are the key to future land management; however, they still require field measurement and an agrochemical laboratory for the calibration of the soil property model. Visible and near-infrared diffuse reflectance spectroscopy has proven to be a rapid and effective method. This study aimed to assess the suitability of multispectral data acquired with the agricultural digital camera in determining soil properties. This 3.2-Mpx camera captures images in three spectral bands – green, red and near-infrared. First, the reference data were collected, which consist of 151 samples that were later examined in the laboratory to specify the granulometric composition and to quantify some chemical elements. Second, additional soil properties such as cation exchange capacity, organic carbon and soil pH were measured. Finally, the agricultural digital camera photograph was taken for every soil sample. Reflectance values in three available spectra bands were used to calculate the spectra indices. The relationships between the collected data were calculated using the independent validation regression model such as Cubist and cross-validation model like partial least square in R Studio. Additionally, different types of data normalisation multiplicative scatter correction, standard normal variate, min–max normalisation, conversion into absorbance] were used. The results proved that the agricultural digital camera is suitable for soil property assessment of sand and silt, pH, K, Cu, Pb, Mn, F, cation exchange capacity and organic carbon content. Coefficient of determination varied from 0.563 (for K) to 0.986 (for soil organic carbon). Higher values were obtained with the Cubist regression model than with partial least squares.
{"title":"Assessment of Soil Characteristics Using a Three-Band Agricultural Digital Camera","authors":"Agnieszka Glinko, Cezary Kaźmierowski, J. Piekarczyk, Sławomir Królewicz","doi":"10.2478/quageo-2022-0029","DOIUrl":"https://doi.org/10.2478/quageo-2022-0029","url":null,"abstract":"Abstract Remote sensing techniques based on soil spectral characteristics are the key to future land management; however, they still require field measurement and an agrochemical laboratory for the calibration of the soil property model. Visible and near-infrared diffuse reflectance spectroscopy has proven to be a rapid and effective method. This study aimed to assess the suitability of multispectral data acquired with the agricultural digital camera in determining soil properties. This 3.2-Mpx camera captures images in three spectral bands – green, red and near-infrared. First, the reference data were collected, which consist of 151 samples that were later examined in the laboratory to specify the granulometric composition and to quantify some chemical elements. Second, additional soil properties such as cation exchange capacity, organic carbon and soil pH were measured. Finally, the agricultural digital camera photograph was taken for every soil sample. Reflectance values in three available spectra bands were used to calculate the spectra indices. The relationships between the collected data were calculated using the independent validation regression model such as Cubist and cross-validation model like partial least square in R Studio. Additionally, different types of data normalisation multiplicative scatter correction, standard normal variate, min–max normalisation, conversion into absorbance] were used. The results proved that the agricultural digital camera is suitable for soil property assessment of sand and silt, pH, K, Cu, Pb, Mn, F, cation exchange capacity and organic carbon content. Coefficient of determination varied from 0.563 (for K) to 0.986 (for soil organic carbon). Higher values were obtained with the Cubist regression model than with partial least squares.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42692337","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}
Pub Date : 2022-07-16DOI: 10.2478/quageo-2022-0026
Wojciech Dawid, E. Bielecka
Abstract The study aims at land cover prediction based on cellular automata and artificial neural network (CA-ANN) method implemented in the Methods Of Land Use Change Evaluation (MOLUSCE) tool. The Tricity region and the neighbouring counties of Gdański and Kartuzy were taken as the research areas, and coordination of information on the environment (CORINE Land Cover, CLC, CLMS 2022) data for 2006, 2012 and 2018 were used to analyse, simulate and predict land cover for 2024, the next reference year of the CORINE inventory. The results revealed an increase in artificial surfaces, with the highest value during the period 2006–2012 (86.56 km2). In total, during the period 2006–2018, the growth in urbanised area amounted to 95.37 km2. The 2024 prediction showed that artificial surfaces increased by 9.19 km2, resulting in a decline in agricultural land.
摘要研究了基于元胞自动机和人工神经网络(CA-ANN)的土地覆盖预测方法，并将其应用于土地利用变化评价方法(Methods Of land Use Change Evaluation, MOLUSCE)工具中。以Tricity地区及其邻近的Gdański和Kartuzy县为研究区，利用2006年、2012年和2018年的环境信息(CORINE Land Cover, CLC, CLMS 2022)数据对2024年(CORINE清单的下一个参考年)的土地覆盖进行分析、模拟和预测。结果表明:人工地表面积呈增加趋势，以2006-2012年为最大值(86.56 km2);总体而言，2006-2018年期间，城市化面积增长了95.37平方公里。2024年预测人工地表面积增加9.19 km2，导致农业用地减少。
{"title":"GIS-Based Land Cover Analysis and Prediction Based on Open-Source Software and Data","authors":"Wojciech Dawid, E. Bielecka","doi":"10.2478/quageo-2022-0026","DOIUrl":"https://doi.org/10.2478/quageo-2022-0026","url":null,"abstract":"Abstract The study aims at land cover prediction based on cellular automata and artificial neural network (CA-ANN) method implemented in the Methods Of Land Use Change Evaluation (MOLUSCE) tool. The Tricity region and the neighbouring counties of Gdański and Kartuzy were taken as the research areas, and coordination of information on the environment (CORINE Land Cover, CLC, CLMS 2022) data for 2006, 2012 and 2018 were used to analyse, simulate and predict land cover for 2024, the next reference year of the CORINE inventory. The results revealed an increase in artificial surfaces, with the highest value during the period 2006–2012 (86.56 km2). In total, during the period 2006–2018, the growth in urbanised area amounted to 95.37 km2. The 2024 prediction showed that artificial surfaces increased by 9.19 km2, resulting in a decline in agricultural land.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47667085","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}
Pub Date : 2022-07-16DOI: 10.2478/quageo-2022-0025
P. Molewski
Abstract The settlement established under German law in Chełmno Land in the 13th century, the resultant changes in the structure of agriculture and land cultivation techniques, and the growing demand on wood as timber, fuel and raw materials for crafts, all combined to contribute to the significant deforestation of the territory. The extent of this deforestation remains conjectural. The purpose in creating a model of forest area in 13th-century Chełmno Land was to attempt to reconstruct it and determine its size and, consequently, to verify hypotheses concerning the scale and the ultimate end of deforestation in the research area. The spatial model is based on published historical and archaeological data relating to selected components of the geographical environment that pertain to the forest area. A retrogressive method combined with Multi-Criterion Evaluation (MCE) was used to build a forest area model. The basic platform for collecting, analysing and visualising spatial data was the geographic information system (GIS). The presented estimates indicate that the forest area of Chełmno Land in the 13th century was larger than had previously been assumed, at about 20–25% of the entire territory.
{"title":"A Spatial Model of Forest Area in the Middle Ages Based on Historical, Archaeological and Geographic Data: A Case Study of 13th-Century Chełmno Land (North-Central Poland)","authors":"P. Molewski","doi":"10.2478/quageo-2022-0025","DOIUrl":"https://doi.org/10.2478/quageo-2022-0025","url":null,"abstract":"Abstract The settlement established under German law in Chełmno Land in the 13th century, the resultant changes in the structure of agriculture and land cultivation techniques, and the growing demand on wood as timber, fuel and raw materials for crafts, all combined to contribute to the significant deforestation of the territory. The extent of this deforestation remains conjectural. The purpose in creating a model of forest area in 13th-century Chełmno Land was to attempt to reconstruct it and determine its size and, consequently, to verify hypotheses concerning the scale and the ultimate end of deforestation in the research area. The spatial model is based on published historical and archaeological data relating to selected components of the geographical environment that pertain to the forest area. A retrogressive method combined with Multi-Criterion Evaluation (MCE) was used to build a forest area model. The basic platform for collecting, analysing and visualising spatial data was the geographic information system (GIS). The presented estimates indicate that the forest area of Chełmno Land in the 13th century was larger than had previously been assumed, at about 20–25% of the entire territory.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46104950","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}
Pub Date : 2022-07-09DOI: 10.2478/quageo-2022-0023
T. Łabuz
Abstract Based on observations spanning 21 years (2000–2020), the article studies the effects of storm surges on the shore of the Świna Gate Sandbar in the southern part of the Pomeranian Bay (southern Baltic Sea). Impacts of selected maximum storm surges in each year were assessed with respect to morphological data collected on the beach and the foredune. The data included parameters of beach-dune erosion as measured along a beach transect before and after each surge. Differences and trends in the shore erosion were related to the sea level (SL), duration of a storm surge [highest storm sea level (HSL) > 1 m], wind-wave sector and wave run-up. The relationships were explored using a simple correlation analysis. The most serious erosion was observed during the heaviest surges [HSL > 1.3 m above the mean sea level (AMSL)], with a wave run-up higher than 3.2 m AMSL. Such surges occurred at about 2-year intervals. The average SL during a surge was 1.2 m AMSL, with a run-up of 2.6 m AMSL. The beach and the lower part of the shore, below that level, were eroded each year. The heaviest surges resulted in an average 5.2 m and 7.0 m dune retreat on the high-beach-accumulative shore and on the low-beach-erosive shore, respectively. The dune was not eroded when the beach height exceeded the wave run-up. The heaviest surges eroded away 12–14 m3 of the beach sand volume. The shore erosion was found to be related to the storm surge duration, the maximum SL, the run-up and the beach height prior to the surge.
{"title":"Storm Surges Versus Shore Erosion: 21 Years (2000–2020) of Observations on the Świna Gate Sandbar (Southern Baltic Coast)","authors":"T. Łabuz","doi":"10.2478/quageo-2022-0023","DOIUrl":"https://doi.org/10.2478/quageo-2022-0023","url":null,"abstract":"Abstract Based on observations spanning 21 years (2000–2020), the article studies the effects of storm surges on the shore of the Świna Gate Sandbar in the southern part of the Pomeranian Bay (southern Baltic Sea). Impacts of selected maximum storm surges in each year were assessed with respect to morphological data collected on the beach and the foredune. The data included parameters of beach-dune erosion as measured along a beach transect before and after each surge. Differences and trends in the shore erosion were related to the sea level (SL), duration of a storm surge [highest storm sea level (HSL) > 1 m], wind-wave sector and wave run-up. The relationships were explored using a simple correlation analysis. The most serious erosion was observed during the heaviest surges [HSL > 1.3 m above the mean sea level (AMSL)], with a wave run-up higher than 3.2 m AMSL. Such surges occurred at about 2-year intervals. The average SL during a surge was 1.2 m AMSL, with a run-up of 2.6 m AMSL. The beach and the lower part of the shore, below that level, were eroded each year. The heaviest surges resulted in an average 5.2 m and 7.0 m dune retreat on the high-beach-accumulative shore and on the low-beach-erosive shore, respectively. The dune was not eroded when the beach height exceeded the wave run-up. The heaviest surges eroded away 12–14 m3 of the beach sand volume. The shore erosion was found to be related to the storm surge duration, the maximum SL, the run-up and the beach height prior to the surge.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43435519","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}
Pub Date : 2022-06-25DOI: 10.2478/quageo-2022-0024
P. Demczuk, T. Zydroń, T. Szafran
Abstract This study covers the western part of Poland’s loess Nałęczów Plateau (Kazimierz Dolny, Zbędowice). Mass movements in the Lublin Upland occur during periods of increased precipitation or after a snowy and cold winter. To date, there are no comprehensive studies on active (precipitation, hydrology, vegetation, land use, anthropogenic factors) or passive factors (lithology, slope angle) causing such geohazards in this region. This area’s formations are characterised by high sensitivity to even small changes in moisture content; thus, their geotechnical parameters deteriorate as a result of precipitation or rising groundwater levels. The calculations in this study were chosen to determine the time necessary for ground response to external factors, in addition to determining the impact of these factors on decreases in the factor of safety (FS). Based on calculations in GeoStudio software, the impacts of rainfall totals and duration on slope failure, interpreted as an event where the FS falls below 1.0, were analysed. Accordingly, the threshold rainfall value was determined as the total rainfall at the time of slope failure. The study’s results indicate that loess covers are characterised by average water permeability, relatively high internal friction angles and low cohesion, which, combined with high slope inclination, favour landslide formation even when the slope is only partially saturated. The most unfavourable stability conditions occur at the beginning of spring, indicating that loess stability is significantly affected by snowmelt and precipitation at the beginning of the vegetation season, as well as the occurrence of episodic intense precipitation during the summer.
{"title":"Precipitation Amounts Triggering Landslide Processes in the Western Part of the Nałęczów Plateau (Lublin Upland, Poland)","authors":"P. Demczuk, T. Zydroń, T. Szafran","doi":"10.2478/quageo-2022-0024","DOIUrl":"https://doi.org/10.2478/quageo-2022-0024","url":null,"abstract":"Abstract This study covers the western part of Poland’s loess Nałęczów Plateau (Kazimierz Dolny, Zbędowice). Mass movements in the Lublin Upland occur during periods of increased precipitation or after a snowy and cold winter. To date, there are no comprehensive studies on active (precipitation, hydrology, vegetation, land use, anthropogenic factors) or passive factors (lithology, slope angle) causing such geohazards in this region. This area’s formations are characterised by high sensitivity to even small changes in moisture content; thus, their geotechnical parameters deteriorate as a result of precipitation or rising groundwater levels. The calculations in this study were chosen to determine the time necessary for ground response to external factors, in addition to determining the impact of these factors on decreases in the factor of safety (FS). Based on calculations in GeoStudio software, the impacts of rainfall totals and duration on slope failure, interpreted as an event where the FS falls below 1.0, were analysed. Accordingly, the threshold rainfall value was determined as the total rainfall at the time of slope failure. The study’s results indicate that loess covers are characterised by average water permeability, relatively high internal friction angles and low cohesion, which, combined with high slope inclination, favour landslide formation even when the slope is only partially saturated. The most unfavourable stability conditions occur at the beginning of spring, indicating that loess stability is significantly affected by snowmelt and precipitation at the beginning of the vegetation season, as well as the occurrence of episodic intense precipitation during the summer.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45528669","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}
Pub Date : 2022-06-01DOI: 10.2478/quageo-2022-0022
A. Koshim, A. Sergeyeva, A. Yegizbayeva
Abstract The study of the transformation of natural complexes in areas with a developed infrastructure for oil subsurface use is a prerequisite condition for solving the environmental problems of oil-producing regions. Located in the territory of the Atyrau Region in Western Kazakhstan, the Tengiz oil field is one of the largest oil fields in the world. The field has been under intensive development for more than 40 years and is characterised by a large volume of anthropogenic load, which contributes to a significant transformation of the landscape complex. The purpose of this study is to investigate the dynamics of landscape changes in the territory of the Tengiz field and to assess its ecological condition. Based on the materials from many years of research, the features of the Tengiz field and the main technogenic sources affecting the landscape complex were identified. Several quantitative indicators characterising the anthropogenic load were calculated based on satellite images. On the basis of Landsat – 5 TM, 7 ETM+ and 8 OLI and Sentinel-2A (S2A) data, the vegetation index of land cover was calculated using normalised difference vegetation index (NDVI), demonstrating the dynamics of landscape changes in the period from 1990 to 2020. The obtained results show that the areas of some landscape components continue to deteriorate. For example, the area of open soil in 2020 decreased due to the withdrawal of these areas for industrial facilities, which increased by 2.2 times by 2020 due to intensive field development. This study demonstrates the importance of monitoring and studying desert landscape complexes under active anthropogenic impact to ensure the sustainable development of territories.
{"title":"Impact of the Tengiz Oil Field on the State of Land Cover","authors":"A. Koshim, A. Sergeyeva, A. Yegizbayeva","doi":"10.2478/quageo-2022-0022","DOIUrl":"https://doi.org/10.2478/quageo-2022-0022","url":null,"abstract":"Abstract The study of the transformation of natural complexes in areas with a developed infrastructure for oil subsurface use is a prerequisite condition for solving the environmental problems of oil-producing regions. Located in the territory of the Atyrau Region in Western Kazakhstan, the Tengiz oil field is one of the largest oil fields in the world. The field has been under intensive development for more than 40 years and is characterised by a large volume of anthropogenic load, which contributes to a significant transformation of the landscape complex. The purpose of this study is to investigate the dynamics of landscape changes in the territory of the Tengiz field and to assess its ecological condition. Based on the materials from many years of research, the features of the Tengiz field and the main technogenic sources affecting the landscape complex were identified. Several quantitative indicators characterising the anthropogenic load were calculated based on satellite images. On the basis of Landsat – 5 TM, 7 ETM+ and 8 OLI and Sentinel-2A (S2A) data, the vegetation index of land cover was calculated using normalised difference vegetation index (NDVI), demonstrating the dynamics of landscape changes in the period from 1990 to 2020. The obtained results show that the areas of some landscape components continue to deteriorate. For example, the area of open soil in 2020 decreased due to the withdrawal of these areas for industrial facilities, which increased by 2.2 times by 2020 due to intensive field development. This study demonstrates the importance of monitoring and studying desert landscape complexes under active anthropogenic impact to ensure the sustainable development of territories.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46459984","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}
Pub Date : 2022-06-01DOI: 10.2478/quageo-2022-0019
Amani Derbali, A. Farhi
Abstract Reaching a well-adjusted population distribution is a major challenge for urban settlements. Various research works have been focusing on evaluating the demographic balance of urban systems worldwide. Regularities in population distribution among urban settlements have been noticed and confirmed by empirical studies in the contemporary era. These studies assert that both rank of a city in the demographic hierarchy and its population size are proportionally correlated in a balanced urban system. It has been proved that this correlation is established according to mathematical theories that have been scientifically identified and proved through in-depth research. This article aims to check the conformity of the population distribution of the Makkah Province to two main demographic, organisational theories. In this article, there will be an attempt to measure the variations, evaluate and assess the deviations, interpret the result thereof, and then compare the outcomes of the two methods applied on the Makkah Province.
{"title":"Demographic Analysis of the Makkah Province for the Purpose of Evaluating the Balance of the Urban System","authors":"Amani Derbali, A. Farhi","doi":"10.2478/quageo-2022-0019","DOIUrl":"https://doi.org/10.2478/quageo-2022-0019","url":null,"abstract":"Abstract Reaching a well-adjusted population distribution is a major challenge for urban settlements. Various research works have been focusing on evaluating the demographic balance of urban systems worldwide. Regularities in population distribution among urban settlements have been noticed and confirmed by empirical studies in the contemporary era. These studies assert that both rank of a city in the demographic hierarchy and its population size are proportionally correlated in a balanced urban system. It has been proved that this correlation is established according to mathematical theories that have been scientifically identified and proved through in-depth research. This article aims to check the conformity of the population distribution of the Makkah Province to two main demographic, organisational theories. In this article, there will be an attempt to measure the variations, evaluate and assess the deviations, interpret the result thereof, and then compare the outcomes of the two methods applied on the Makkah Province.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49098700","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}
Pub Date : 2022-06-01DOI: 10.2478/quageo-2022-0015
M. Biswas Roy, Abhishek Kumar, D. Chatterjee, Sudipa Halder
Abstract In this study, the functions and threats of Suraha Tal Wetland are identified by the stated preference method and weightage is given according to their rank. The objective of the study is to determine the total economic value of Suraha Tal Wetland. The direct value can be drawn from the market price and from a survey of the stakeholders. Suraha Tal Wetland is also famous for the presence of the Jai Prakash Narayan Birds Sanctuary, which makes it a biodiversity-enriched area. The indirect value has been drawn from a review of the literature on Suraha Tal Wetland and the relevance of this literature is justified through the comprehensive meta-analysis (CMA) software. The total valuation of the wetland has been calculated. The paper concludes with suggestions for a few management strategies for better wetland management.
{"title":"Comprehensive Assessment of Meta-Analysis and Contingent Valuation Technique for Sustainable Management of Wetland of Middle Ganga Plain","authors":"M. Biswas Roy, Abhishek Kumar, D. Chatterjee, Sudipa Halder","doi":"10.2478/quageo-2022-0015","DOIUrl":"https://doi.org/10.2478/quageo-2022-0015","url":null,"abstract":"Abstract In this study, the functions and threats of Suraha Tal Wetland are identified by the stated preference method and weightage is given according to their rank. The objective of the study is to determine the total economic value of Suraha Tal Wetland. The direct value can be drawn from the market price and from a survey of the stakeholders. Suraha Tal Wetland is also famous for the presence of the Jai Prakash Narayan Birds Sanctuary, which makes it a biodiversity-enriched area. The indirect value has been drawn from a review of the literature on Suraha Tal Wetland and the relevance of this literature is justified through the comprehensive meta-analysis (CMA) software. The total valuation of the wetland has been calculated. The paper concludes with suggestions for a few management strategies for better wetland management.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45594777","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}
Pub Date : 2022-06-01DOI: 10.2478/quageo-2022-0014
C. E. W. Yameogo, J. Omojolaibi
Abstract This study investigated the influence of regional economic integration (REI) on poverty reduction and the revenue distribution in the West African Economic and Monetary Union (WAEMU) over the period 1994–2018. The second generation panel unit root tests and the Westerlund panel cointegration test were employed for preliminary analysis. The elasticities of the variables were investigated using the Pooled Mean Group (PMG) approach. The results showed that REI reduced income inequality and increased the poverty rate. Moreover, the causal relationship revealed the presence of a bidirectional relationship between REI and poverty. The feedback causal effect operated between REI and remittances, while unidirectional causality runs from REI to income inequality, from economic growth per capita to income inequality, from remittances to poverty, from the control of corruption to income inequality, and from remittances to economic growth. Consequently, the study recommends an easing of governmental regional integration restrictions and provision of subsidies that help to increase the volume of trade and financial development while reducing poverty in the union.
{"title":"Regional Economic Integration and Its Impact on Income Distribution and the Poverty Level: The Case of the WAEMU Zone","authors":"C. E. W. Yameogo, J. Omojolaibi","doi":"10.2478/quageo-2022-0014","DOIUrl":"https://doi.org/10.2478/quageo-2022-0014","url":null,"abstract":"Abstract This study investigated the influence of regional economic integration (REI) on poverty reduction and the revenue distribution in the West African Economic and Monetary Union (WAEMU) over the period 1994–2018. The second generation panel unit root tests and the Westerlund panel cointegration test were employed for preliminary analysis. The elasticities of the variables were investigated using the Pooled Mean Group (PMG) approach. The results showed that REI reduced income inequality and increased the poverty rate. Moreover, the causal relationship revealed the presence of a bidirectional relationship between REI and poverty. The feedback causal effect operated between REI and remittances, while unidirectional causality runs from REI to income inequality, from economic growth per capita to income inequality, from remittances to poverty, from the control of corruption to income inequality, and from remittances to economic growth. Consequently, the study recommends an easing of governmental regional integration restrictions and provision of subsidies that help to increase the volume of trade and financial development while reducing poverty in the union.","PeriodicalId":46433,"journal":{"name":"Quaestiones Geographicae","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677410","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}
Pub Date : 2022-06-01DOI: 10.2478/quageo-2022-0013
J. Jumadi, V. N. Fikriyah, H. Z. Hadibasyir, K. Priyono, M. Musiyam, A. Mardiah, A. Rohman, H. Hasyim, M. Ibrahim
Abstract Coronavirus disease-2019 (COVID-19) in Indonesia began to appear on March 2, 2020 and led to a number of fatalities. Spatial analysis is important to study the spatio-temporal trend of COVID-19 cases and fatalities to get a better understanding of the spread as well as to mitigate it. However, such a comprehensive study at national level is not to be seen in Indonesia with limited health infrastructure. This study aims to analyse the spatio-temporal distribution and clusters of COVID-19 in Indonesia for a year period. COVID-19 cases, as well as the fatalities as a consequence of this disease, were collected from the government through publicly shared data. A geographic information system (GIS) was used to manage and analyse the data on demographics, cases, and fatalities. The case fatality rate (CFR) was produced based on the number of cases and deaths per province weekly. The spatio-temporal data of both cases and fatalities were generated from the data. Finally, K-means clustering was employed to classify the cluster of Indonesia based on the proportion of vulnerable age groups, cases, and CFR. The results show that most of the provinces in Indonesia are affected by COVID-19, but the fatalities are not distributed evenly throughout the country. Based on the K-means clustering, two provinces are classified as moderate, namely the Province of East Kalimantan and North Kalimantan. The Province of Jakarta is classified as high, because the vulnerable age group there is highly correlated with the number of cases and deaths.
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