Luka Sabljić, Tin Lukić, Davorin Bajić, Rastko Marković, Velibor Spalević, Dragica Delić, Aleksandar R. Radivojević
The research subject is the application of geographic information systems (GIS) in assessing land suitability for agriculture in the Sana River Basin in Bosnia and Herzegovina. The aim of the research is to apply the analytic hierarchy process (AHP) in identifying suitable areas for agricultural production. Within the AHP framework, the following factors were considered: pedology, land use, elevation, slope, aridity index, and distance from rivers. The results of the suitability assessment underwent reclassification (RP) and cluster analysis processes (CAPs). It was found that very unsuitable land (1) covers an area of 0.15% (RP) or 5.83% (CAP), unsuitable land (2) covers 3.44% (RP) or 17.52% (CAP), conditionally suitable land (3) covers 32.11% or 28.47% (CAP), suitable land (4) covers 56.29% or 28.57% (CAP), and very suitable land (5) covers 7.98% (RP) or 19.59% (CAP). At the study area level, a supervised classification process was conducted to identify land use classes: meadows/pastures, water, forest, agricultural, and built-up areas. RP and CAP results were overlaid with supervised classification results to determine the amount of land used for agricultural purposes within each suitability class. It was determined that currently, for agricultural purposes, 0.04 km2 (RP) or 0.88 km2 (CAP) of very unsuitable land (1) is used, 0.41 km2 (RP) or 7.28 km2 (CAP) of unsuitable land (2), 15.75 km2 (RP) or 27.52 km2 (CAP) of conditionally suitable land (3), 185.15 km2 (RP) or 107.06 km2 (CAP) of suitable land (4), and 42.99 km2 (RP) or 101.65 km2 (CAP) of very suitable land (5). The research findings hold substantial importance in elucidating both the potential and constraints of land use practices as a vital natural resource within agriculture. They also have practical importance for relevant institutions in terms of agricultural sector development and making timely land use planning decisions for sustainable development.
{"title":"Optimizing agricultural land use: A GIS-based assessment of suitability in the Sana River Basin, Bosnia and Herzegovina","authors":"Luka Sabljić, Tin Lukić, Davorin Bajić, Rastko Marković, Velibor Spalević, Dragica Delić, Aleksandar R. Radivojević","doi":"10.1515/geo-2022-0683","DOIUrl":"https://doi.org/10.1515/geo-2022-0683","url":null,"abstract":"The research subject is the application of geographic information systems (GIS) in assessing land suitability for agriculture in the Sana River Basin in Bosnia and Herzegovina. The aim of the research is to apply the analytic hierarchy process (AHP) in identifying suitable areas for agricultural production. Within the AHP framework, the following factors were considered: pedology, land use, elevation, slope, aridity index, and distance from rivers. The results of the suitability assessment underwent reclassification (RP) and cluster analysis processes (CAPs). It was found that very unsuitable land (1) covers an area of 0.15% (RP) or 5.83% (CAP), unsuitable land (2) covers 3.44% (RP) or 17.52% (CAP), conditionally suitable land (3) covers 32.11% or 28.47% (CAP), suitable land (4) covers 56.29% or 28.57% (CAP), and very suitable land (5) covers 7.98% (RP) or 19.59% (CAP). At the study area level, a supervised classification process was conducted to identify land use classes: meadows/pastures, water, forest, agricultural, and built-up areas. RP and CAP results were overlaid with supervised classification results to determine the amount of land used for agricultural purposes within each suitability class. It was determined that currently, for agricultural purposes, 0.04 km<jats:sup>2</jats:sup> (RP) or 0.88 km<jats:sup>2</jats:sup> (CAP) of very unsuitable land (1) is used, 0.41 km<jats:sup>2</jats:sup> (RP) or 7.28 km<jats:sup>2</jats:sup> (CAP) of unsuitable land (2), 15.75 km<jats:sup>2</jats:sup> (RP) or 27.52 km<jats:sup>2</jats:sup> (CAP) of conditionally suitable land (3), 185.15 km<jats:sup>2</jats:sup> (RP) or 107.06 km<jats:sup>2</jats:sup> (CAP) of suitable land (4), and 42.99 km<jats:sup>2</jats:sup> (RP) or 101.65 km<jats:sup>2</jats:sup> (CAP) of very suitable land (5). The research findings hold substantial importance in elucidating both the potential and constraints of land use practices as a vital natural resource within agriculture. They also have practical importance for relevant institutions in terms of agricultural sector development and making timely land use planning decisions for sustainable development.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"2 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luka Sabljić, Tin Lukić, Davorin Bajić, Slobodan B. Marković, Dragica Delić
The subject of the research represents the application of remote sensing in monitoring land degradation in the municipality of Stanari in Bosnia and Herzegovina (B&H). The aim of the study is to identify spatial changes during the research period (2017–2023) by processing remote sensing “products.” Within the changes in land use, the focus is placed on alterations resulting from surface mineral resource mining activities. The total approved exploitation area amounts to 3841.08 ha, covering almost a quarter of the municipality (23.89%). Monitoring changes in land use was conducted through the processing of Sentinel-2 images using supervised classification (SC). The classification results were compared with the Dynamic World (DW) dataset. Results indicate significant losses in forested areas, reduced by −7.23% (DW) or −2.43% (SC) at the municipal level and −11.48% (DW) or −5.90% (SC) within the exploitation area. Spatial extents of deforestation were identified and analyzed based on processing the Hansen Global Forest Data Change dataset. The deforestation area, caused by mining activity in B&H over the research period (2001–2021), amounts to 977.94 ha, with 264.25 ha (27.02%) within the Stanari municipality. Over 90% of the cleared forest area is within the exploitation area. High erosion coefficient values (Z) were recorded within the approved exploitation area, coinciding with the spatial coverage of deforestation. Additionally, results obtained using an empirical method for studying mechanical water erosion (Wy) indicate a high intensity within the exploitation area. For the approved exploitation area, possibilities for the restoration of degraded land were analyzed, including an overview of activities conducted so far and mapping some of the previously reclaimed areas. The research contributes to a better understanding of spatial changes resulting from mining activities, and the presented data are significant for numerous practical issues, such as sustainable land use planning, spatial planning, protection of forest ecosystems, and the environment.
{"title":"Application of remote sensing in monitoring land degradation: A case study of Stanari municipality (Bosnia and Herzegovina)","authors":"Luka Sabljić, Tin Lukić, Davorin Bajić, Slobodan B. Marković, Dragica Delić","doi":"10.1515/geo-2022-0671","DOIUrl":"https://doi.org/10.1515/geo-2022-0671","url":null,"abstract":"The subject of the research represents the application of remote sensing in monitoring land degradation in the municipality of Stanari in Bosnia and Herzegovina (B&H). The aim of the study is to identify spatial changes during the research period (2017–2023) by processing remote sensing “products.” Within the changes in land use, the focus is placed on alterations resulting from surface mineral resource mining activities. The total approved exploitation area amounts to 3841.08 ha, covering almost a quarter of the municipality (23.89%). Monitoring changes in land use was conducted through the processing of Sentinel-2 images using supervised classification (SC). The classification results were compared with the Dynamic World (DW) dataset. Results indicate significant losses in forested areas, reduced by −7.23% (DW) or −2.43% (SC) at the municipal level and −11.48% (DW) or −5.90% (SC) within the exploitation area. Spatial extents of deforestation were identified and analyzed based on processing the Hansen Global Forest Data Change dataset. The deforestation area, caused by mining activity in B&H over the research period (2001–2021), amounts to 977.94 ha, with 264.25 ha (27.02%) within the Stanari municipality. Over 90% of the cleared forest area is within the exploitation area. High erosion coefficient values (<jats:italic>Z</jats:italic>) were recorded within the approved exploitation area, coinciding with the spatial coverage of deforestation. Additionally, results obtained using an empirical method for studying mechanical water erosion (<jats:italic>W</jats:italic> <jats:sub>y</jats:sub>) indicate a high intensity within the exploitation area. For the approved exploitation area, possibilities for the restoration of degraded land were analyzed, including an overview of activities conducted so far and mapping some of the previously reclaimed areas. The research contributes to a better understanding of spatial changes resulting from mining activities, and the presented data are significant for numerous practical issues, such as sustainable land use planning, spatial planning, protection of forest ecosystems, and the environment.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bojana Aleksova, Ivica Milevski, Risto Mijalov, Slobodan B. Marković, Vladimir M. Cvetković, Tin Lukić
This study presents a comprehensive analysis of flash flood susceptibility in the Kratovska Reka catchment area of Northeastern North Macedonia, integrating Geographic Information System, remote sensing, and field survey data. Key factors influencing flash flood dynamics, including Slope, Lithology, Land use, and Vegetation index, were investigated to develop the Flash Flood Potential Index (FFPI). Mapping slope variation using a 5-m Digital Elevation Model (DEM) revealed higher slopes in eastern tributaries compared to western counterparts. Lithological units were classified based on susceptibility to erosion processes, with clastic sediments identified as most prone to flash floods. Land use analysis highlighted non-irrigated agricultural surfaces and areas with sparse vegetation as highly susceptible. Integration of these factors into the FFPI model provided insights into flash flood susceptibility, with results indicating a medium risk across the catchment. The average value of the FFPI is 1.9, considering that the values range from 1 to 5. Also, terrains susceptible to flash floods were found to be 49.34%, classified as medium risk. Field survey data validated the model, revealing a significant overlap between hotspot areas for flash floods and high-risk regions identified by the FFPI. An average FFPI coefficient was calculated for each tributary (sub-catchment) of the Kratovska Reka. According to the model, Latišnica had the highest average coefficient of susceptibility to potential flash floods, with a value of 2.16. These findings offer valuable insights for spatial planning and flood risk management, with implications for both local and national-scale applications. Future research directions include incorporating machine learning techniques to enhance modeling accuracy and reduce subjectivity in assigning weighting factors.
{"title":"Assessing risk-prone areas in the Kratovska Reka catchment (North Macedonia) by integrating advanced geospatial analytics and flash flood potential index","authors":"Bojana Aleksova, Ivica Milevski, Risto Mijalov, Slobodan B. Marković, Vladimir M. Cvetković, Tin Lukić","doi":"10.1515/geo-2022-0684","DOIUrl":"https://doi.org/10.1515/geo-2022-0684","url":null,"abstract":"This study presents a comprehensive analysis of flash flood susceptibility in the Kratovska Reka catchment area of Northeastern North Macedonia, integrating Geographic Information System, remote sensing, and field survey data. Key factors influencing flash flood dynamics, including Slope, Lithology, Land use, and Vegetation index, were investigated to develop the Flash Flood Potential Index (FFPI). Mapping slope variation using a 5-m Digital Elevation Model (DEM) revealed higher slopes in eastern tributaries compared to western counterparts. Lithological units were classified based on susceptibility to erosion processes, with clastic sediments identified as most prone to flash floods. Land use analysis highlighted non-irrigated agricultural surfaces and areas with sparse vegetation as highly susceptible. Integration of these factors into the FFPI model provided insights into flash flood susceptibility, with results indicating a medium risk across the catchment. The average value of the FFPI is 1.9, considering that the values range from 1 to 5. Also, terrains susceptible to flash floods were found to be 49.34%, classified as medium risk. Field survey data validated the model, revealing a significant overlap between hotspot areas for flash floods and high-risk regions identified by the FFPI. An average FFPI coefficient was calculated for each tributary (sub-catchment) of the Kratovska Reka. According to the model, Latišnica had the highest average coefficient of susceptibility to potential flash floods, with a value of 2.16. These findings offer valuable insights for spatial planning and flood risk management, with implications for both local and national-scale applications. Future research directions include incorporating machine learning techniques to enhance modeling accuracy and reduce subjectivity in assigning weighting factors.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"430 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Mélange in Lamphun Province, situated in the southern region of the Chiang Mai-Chiang Rai Suture Zone (CMCRSZ), remains inadequately explored. This study employs field investigations and petrographic analysis to delineate the characteristics of the CMCRSZ Mélange, identifying nine distinct rock units. These units include Carboniferous quartz arenite interbedded with fine-grained sedimentary rocks, Permian lithic graywacke, Permian limestone hosting Pseudodaliolina sp. and Schwagerinid sp., Triassic chert containing Anisian radiolarian fossils, and ocean island basalt. This area exhibits complex folding and thrusting, accompanied by granitic intrusions and low-grade metamorphic rocks within a finer-grained sedimentary matrix. Stratigraphic assessments trace the primary material of the accretionary complex to the upper strata of the oceanic plate stratigraphy. Geochemical analyses indicate the mafic rocks as alkaline to subalkaline basalts, indicative of formation through an alkaline magma series, a conclusion supported by rare-earth element patterns. Sr/Nd isotope classification suggests ocean island tectonics for these rocks. The formation of the CMCRSZ Mélange occurred during the Paleo-Tethys oceanic crust subduction beneath the Indochina Terrane at the Permian-Triassic Boundary, accumulating diverse materials in a dynamically evolving tectonic context. Furthermore, S-type Triassic granites emerged post-collision during the Indosinian Orogeny following the thrusting of the CMCRSZ onto Sibumasu.
{"title":"Lithofacies, petrography, and geochemistry of the Lamphun oceanic plate stratigraphy: As a record of the subduction history of Paleo-Tethys in Chiang Mai-Chiang Rai Suture Zone of Thailand","authors":"Burapha Phajuy, Vimoltip Singtuen, Pee Poatprommanee, Chanakan Boonnawa","doi":"10.1515/geo-2022-0687","DOIUrl":"https://doi.org/10.1515/geo-2022-0687","url":null,"abstract":"The Mélange in Lamphun Province, situated in the southern region of the Chiang Mai-Chiang Rai Suture Zone (CMCRSZ), remains inadequately explored. This study employs field investigations and petrographic analysis to delineate the characteristics of the CMCRSZ Mélange, identifying nine distinct rock units. These units include Carboniferous quartz arenite interbedded with fine-grained sedimentary rocks, Permian lithic graywacke, Permian limestone hosting <jats:italic>Pseudodaliolina</jats:italic> sp. and <jats:italic>Schwagerinid</jats:italic> sp., Triassic chert containing Anisian radiolarian fossils, and ocean island basalt. This area exhibits complex folding and thrusting, accompanied by granitic intrusions and low-grade metamorphic rocks within a finer-grained sedimentary matrix. Stratigraphic assessments trace the primary material of the accretionary complex to the upper strata of the oceanic plate stratigraphy. Geochemical analyses indicate the mafic rocks as alkaline to subalkaline basalts, indicative of formation through an alkaline magma series, a conclusion supported by rare-earth element patterns. Sr/Nd isotope classification suggests ocean island tectonics for these rocks. The formation of the CMCRSZ Mélange occurred during the Paleo-Tethys oceanic crust subduction beneath the Indochina Terrane at the Permian-Triassic Boundary, accumulating diverse materials in a dynamically evolving tectonic context. Furthermore, S-type Triassic granites emerged post-collision during the Indosinian Orogeny following the thrusting of the CMCRSZ onto Sibumasu.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"39 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-speed railway (HSR) networks have profoundly influenced interregional accessibility and economic linkages. This study examined 100 counties (cities) and districts in Jiangxi Province, using spatial and temporal data to measure weighted average travel time, daily accessibility, the accessibility coefficient, and the total and intensity of economic linkages. This study analyzed the impacts of operating a single HSR line versus an entire network. The findings revealed that (1) the HSR network has created a balanced spatial–temporal convergence effect, narrowing the gap between most locations and showing a clear “corridor effect”; (2) the network has strengthened economic connections among counties and has significantly enhanced overall economic output by creating two high-level economic linkage belts, formed around the Shanghai–Kunming and Beijing–Hong Kong HSRs; and (3) the network amplifies the “Siphon effect” and “Matthew effect,” further disadvantaging non-connected regions. Therefore, the province should promote a well-designed, HSR network, enhancing economic exchanges among counties and fostering a high-level economic belt characterized by diversity, complementary advantages, and coordinated development.
{"title":"Impact of high-speed railway network on county-level accessibility and economic linkage in Jiangxi Province, China: A spatio-temporal data analysis","authors":"Lei Wu, Xiaodan Song, Feng Yin","doi":"10.1515/geo-2022-0678","DOIUrl":"https://doi.org/10.1515/geo-2022-0678","url":null,"abstract":"High-speed railway (HSR) networks have profoundly influenced interregional accessibility and economic linkages. This study examined 100 counties (cities) and districts in Jiangxi Province, using spatial and temporal data to measure weighted average travel time, daily accessibility, the accessibility coefficient, and the total and intensity of economic linkages. This study analyzed the impacts of operating a single HSR line versus an entire network. The findings revealed that (1) the HSR network has created a balanced spatial–temporal convergence effect, narrowing the gap between most locations and showing a clear “corridor effect”; (2) the network has strengthened economic connections among counties and has significantly enhanced overall economic output by creating two high-level economic linkage belts, formed around the Shanghai–Kunming and Beijing–Hong Kong HSRs; and (3) the network amplifies the “Siphon effect” and “Matthew effect,” further disadvantaging non-connected regions. Therefore, the province should promote a well-designed, HSR network, enhancing economic exchanges among counties and fostering a high-level economic belt characterized by diversity, complementary advantages, and coordinated development.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"6 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, studying dolomite diagenesis and controlling factors of reservoir development from microscopic perspective has become a hot subject in deep carbonate gas exploration. In this study, we have carried out a fine classification of different types of dolomite reservoirs in the Fei-3 Member of the Lower Triassic Feixianguan Formation in the Puguang area, and the distribution law and main controlling factors of dolomite reservoirs have been clarified. The results show that the dolomite reservoirs of the Fei-3 Member in the Puguang area include three rock types: residual structure dolomite, microbial dolomite, and crystalline dolomite, and the main reservoir space types are intergranular pores, solution pores/caves, and inter-crystalline pores, respectively, and the solution fractures are mainly developed in the residual structure and microbial dolomites. Most of the dolomite reservoirs are distributed in the Fei 31 sub-member, and the residual structure dolomite is mainly distributed in the relative paleomorphic highs of the Fei 31 sub-member; microbial dolomite is mainly developed in the platform environment with shallow water and intermittent exposure, and is controlled by the growth conditions of microorganisms; the crystalline dolomite is mostly distributed in the relatively shallow water and relatively limited dolomite flat environment. On the plane, the dolomite reservoirs are distributed in the form of clumps. The distribution of residual structure dolomite reservoir is controlled by paleotopography and early exposure corrosion. Microbial dolomite is formed in the microbial mat microfacies, and the distribution range of microbial mat controls the development of microbial dolomites. The diagenetic types of the dolomites in the target layer include dolomitization, dissolution, rupture, and material filling. Various kinds of pores formed by syngenetic dissolution provide channels for later buried dissolution, and organic acids formed by organic matter maturation under deep burial conditions play a crucial role in dissolution of dolomite and promote the formation of dissolution pores. In the burial stage, hydrocarbons enter the dolomite, which can effectively prevent the growth of late authigenic minerals, thus promoting the preservation of pores. The structural fracture system formed by late tectonic movement can communicate with different pore groups and improve the reservoir quality.
{"title":"Characteristics and main controlling factors of dolomite reservoirs in Fei-3 Member of Feixianguan Formation of Lower Triassic, Puguang area","authors":"Shenjian Wang, Guosheng Xu, Yingling Hou, Wenjie Zhuang, Guomin Chen, Wei Wang, Xinyi Wang, Jianxia Bi, Changbing Huang, Qing Liu, Qiuchan Zhuang, Qing Luo","doi":"10.1515/geo-2022-0603","DOIUrl":"https://doi.org/10.1515/geo-2022-0603","url":null,"abstract":"In recent years, studying dolomite diagenesis and controlling factors of reservoir development from microscopic perspective has become a hot subject in deep carbonate gas exploration. In this study, we have carried out a fine classification of different types of dolomite reservoirs in the Fei-3 Member of the Lower Triassic Feixianguan Formation in the Puguang area, and the distribution law and main controlling factors of dolomite reservoirs have been clarified. The results show that the dolomite reservoirs of the Fei-3 Member in the Puguang area include three rock types: residual structure dolomite, microbial dolomite, and crystalline dolomite, and the main reservoir space types are intergranular pores, solution pores/caves, and inter-crystalline pores, respectively, and the solution fractures are mainly developed in the residual structure and microbial dolomites. Most of the dolomite reservoirs are distributed in the Fei 3<jats:sup>1</jats:sup> sub-member, and the residual structure dolomite is mainly distributed in the relative paleomorphic highs of the Fei 3<jats:sup>1</jats:sup> sub-member; microbial dolomite is mainly developed in the platform environment with shallow water and intermittent exposure, and is controlled by the growth conditions of microorganisms; the crystalline dolomite is mostly distributed in the relatively shallow water and relatively limited dolomite flat environment. On the plane, the dolomite reservoirs are distributed in the form of clumps. The distribution of residual structure dolomite reservoir is controlled by paleotopography and early exposure corrosion. Microbial dolomite is formed in the microbial mat microfacies, and the distribution range of microbial mat controls the development of microbial dolomites. The diagenetic types of the dolomites in the target layer include dolomitization, dissolution, rupture, and material filling. Various kinds of pores formed by syngenetic dissolution provide channels for later buried dissolution, and organic acids formed by organic matter maturation under deep burial conditions play a crucial role in dissolution of dolomite and promote the formation of dissolution pores. In the burial stage, hydrocarbons enter the dolomite, which can effectively prevent the growth of late authigenic minerals, thus promoting the preservation of pores. The structural fracture system formed by late tectonic movement can communicate with different pore groups and improve the reservoir quality.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"27 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The identification of shale lithology is of great importance for the exploration and development of shale reservoirs. The lithology and mineralogical composition of shale are closely related, but a small number of laboratory core analysis samples are insufficient to evaluate the lithology of the entire formation. In this study, a lithology identification method using conventional logging curves is proposed for the shale stratigraphy of the Qingshankou Formation in the Gulong Depression of the Songliao Basin, northeastern China. First, a mineral pre-training model is constructed using discrete petrophysical experimental data with logging data, and features are generated for the logging data. Second, an adaptive multi-objective swarm crossover optimization method is employed to address the imbalance of logging data. Finally, the model is combined with a Bayesian gradient boosting algorithm for lithology identification. The proposed method demonstrates superior performance to eXtreme Gradient Boosting, Support Vector Machines, Multilayer Perceptron, and Random Forest in terms of accuracy, weight perspective, and macro perspective evaluation indexes. The method has been successfully applied in actual wells, with excellent results. The results indicate that the workflow is a reliable means of shale lithology identification.
{"title":"A novel workflow for shale lithology identification – A case study in the Gulong Depression, Songliao Basin, China","authors":"Liying Xu, Ruiyi Han, Xuehong Yan, Xue Han, Zhenlin Li, Hui Wang, Linfu Xue, Yuhang Guo, Xiuwen Mo","doi":"10.1515/geo-2022-0672","DOIUrl":"https://doi.org/10.1515/geo-2022-0672","url":null,"abstract":"The identification of shale lithology is of great importance for the exploration and development of shale reservoirs. The lithology and mineralogical composition of shale are closely related, but a small number of laboratory core analysis samples are insufficient to evaluate the lithology of the entire formation. In this study, a lithology identification method using conventional logging curves is proposed for the shale stratigraphy of the Qingshankou Formation in the Gulong Depression of the Songliao Basin, northeastern China. First, a mineral pre-training model is constructed using discrete petrophysical experimental data with logging data, and features are generated for the logging data. Second, an adaptive multi-objective swarm crossover optimization method is employed to address the imbalance of logging data. Finally, the model is combined with a Bayesian gradient boosting algorithm for lithology identification. The proposed method demonstrates superior performance to eXtreme Gradient Boosting, Support Vector Machines, Multilayer Perceptron, and Random Forest in terms of accuracy, weight perspective, and macro perspective evaluation indexes. The method has been successfully applied in actual wells, with excellent results. The results indicate that the workflow is a reliable means of shale lithology identification.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"7 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
István Gábor Hatvani, Manfred Mudelsee, Zoltán Kern
Can large language models (LLMs) capture a trustworthy global snapshot of the current issues and top-priority questions facing Earth and Geoscience? This article discusses the 100 most important questions facing Earth and Geosciences in the twenty-first century according to the largest of the LLMs. The study uncovered a discrepancy in responses using the synonymous terms earth sciences and geosciences; as such, users of publicly accessible LLMs must account for this bias and exercise caution in interpretation. Eight fundamental topics irrespective of the query terms earth sciences/geosciences were found: while two of them originate from fundamental research in extraterrestrial geoscience and Earth’s interior, the remaining six address geoscientific questions, important due to the associated societal challenges and environmental issues. The outlined eight fundamental topics strongly resonate with eight Sustainable Development Goals of the United Nations, in certain cases with not just one.
{"title":"Essential questions in earth and geosciences according to large language models","authors":"István Gábor Hatvani, Manfred Mudelsee, Zoltán Kern","doi":"10.1515/geo-2022-0677","DOIUrl":"https://doi.org/10.1515/geo-2022-0677","url":null,"abstract":"Can large language models (LLMs) capture a trustworthy global snapshot of the current issues and top-priority questions facing Earth and Geoscience? This article discusses the 100 most important questions facing Earth and Geosciences in the twenty-first century according to the largest of the LLMs. The study uncovered a discrepancy in responses using the synonymous terms <jats:italic>earth sciences</jats:italic> and <jats:italic>geosciences</jats:italic>; as such, users of publicly accessible LLMs must account for this bias and exercise caution in interpretation. Eight fundamental topics irrespective of the query terms <jats:italic>earth sciences/geosciences</jats:italic> were found: while two of them originate from fundamental research in extraterrestrial geoscience and Earth’s interior, the remaining six address geoscientific questions, important due to the associated societal challenges and environmental issues. The outlined eight fundamental topics strongly resonate with eight Sustainable Development Goals of the United Nations, in certain cases with not just one.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"83 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dan Wang, Yong Fu, Lie-Meng Chen, Qian Hu, Zhi Zhang
There has been a longstanding debate on whether plutonic and subvolcanic rocks have a petrogenetic connection, and the Jurassic Shuikoushan caldera complex in South China serves as an ideal case study for unraveling this geological puzzle. SIMS U–Pb dating of zircon indicates the formation age of plutonic (granodiorite) and subvolcanic rocks (dacite porphyry and rhyolite porphyry) from the Shuikoushan caldera complex at ca.159 Ma. In terms of geochemical composition, granodiorite and dacite porphyry exhibit higher levels of MgO (1.98–3.63%), MnO (0.07–0.11%), FeOt (5.12–6.15%), Sr (342–547 ppm), and Ba (754–1200 ppm) compared to the rhyolite porphyry. Conversely, they show lower concentrations of Rb (2.04–27.1 ppm), as well as lower ratios of Rb/Sr (0.004–0.055) and Rb/Ba (0.004–0.023). The distinct but complementary geochemical characteristics between these rock types are evident in the Shuikoushan caldera complex. Overall, zircon grains from all three rock types exhibit similar negative εHf(t) values (–8.1 to –12.4) with high δ18O values (8.3–9.7‰), suggesting a common source region. Based on lithological and geochemical evidence, it is proposed that the rhyolite porphyry represents extracted melt from the mush reservoir. In contrast, the granodiorite and dacite porphyry are residual melts enriched in cumulates. This interpretation supports the idea that crystal–melt segregation processes were crucial in connecting the late Jurassic subvolcanic and plutonic rocks within the Shuikoushan complex.
{"title":"Petrogenetic relationship between plutonic and subvolcanic rocks in the Jurassic Shuikoushan complex, South China","authors":"Dan Wang, Yong Fu, Lie-Meng Chen, Qian Hu, Zhi Zhang","doi":"10.1515/geo-2022-0634","DOIUrl":"https://doi.org/10.1515/geo-2022-0634","url":null,"abstract":"There has been a longstanding debate on whether plutonic and subvolcanic rocks have a petrogenetic connection, and the Jurassic Shuikoushan caldera complex in South China serves as an ideal case study for unraveling this geological puzzle. SIMS U–Pb dating of zircon indicates the formation age of plutonic (granodiorite) and subvolcanic rocks (dacite porphyry and rhyolite porphyry) from the Shuikoushan caldera complex at <jats:italic>ca.</jats:italic>159 Ma. In terms of geochemical composition, granodiorite and dacite porphyry exhibit higher levels of MgO (1.98–3.63%), MnO (0.07–0.11%), FeO<jats:sup>t</jats:sup> (5.12–6.15%), Sr (342–547 ppm), and Ba (754–1200 ppm) compared to the rhyolite porphyry. Conversely, they show lower concentrations of Rb (2.04–27.1 ppm), as well as lower ratios of Rb/Sr (0.004–0.055) and Rb/Ba (0.004–0.023). The distinct but complementary geochemical characteristics between these rock types are evident in the Shuikoushan caldera complex. Overall, zircon grains from all three rock types exhibit similar negative <jats:italic>ε</jats:italic> <jats:sub>Hf</jats:sub>(<jats:italic>t</jats:italic>) values (–8.1 to –12.4) with high <jats:italic>δ</jats:italic> <jats:sup>18</jats:sup>O values (8.3–9.7‰), suggesting a common source region. Based on lithological and geochemical evidence, it is proposed that the rhyolite porphyry represents extracted melt from the mush reservoir. In contrast, the granodiorite and dacite porphyry are residual melts enriched in cumulates. This interpretation supports the idea that crystal–melt segregation processes were crucial in connecting the late Jurassic subvolcanic and plutonic rocks within the Shuikoushan complex.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"61 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ivana Blešić, Milan Ivkov, Tamara Gajić, Marko D. Petrović, Milan M. Radovanović, Aleksandar Valjarević, Slavica Malinović-Milićević, Marina Vukin, Jovanka Popov Raljić, Dušan Puhar, Tin Lukić
Earthquakes are a rather complex natural phenomenon that cannot be prevented, and their effects can be catastrophic and have profound implications on various economic sectors (especially tourism). This study investigates the relationships between subjective factors (gender, age, education, previous experience, and disaster anxiety), the perceived travel risk, and the travel intention of tourists from Serbia to destinations in Türkiye. The pilot study was done in March 2023 with 110 respondents from the Faculty of Science, Department of Geography, Tourism, and Hotel Management, Novi Sad. After the validation of the instruments, the main survey was conducted in the period from March to June 2023. The subjects of interest were residents of Serbia over the age of 18. The data from this study are analyzed using the confirmatory factor analysis and path analyses. This study aims to enhance the understanding of perceived risk and travel intention, specifically focusing on Türkiye. The assessed outcome relates to how tourists perceive three specific categories of risk when traveling to destinations with a high risk of natural disasters, such as earthquake-prone areas. The findings suggest that older respondents tend to perceive lower physical and financial travel risks, even though the influence of age on the perception of socio-psychological risks was inconclusive. Further results reveal that individuals with prior experience tend to hold a heightened perception of physical, financial, and socio-psychological risks. An examination of the relationship between disaster anxiety and perceived travel risks indicates that physical, financial, and socio-psychological risks exert a negative influence on travel intention. Thus, this study may provide a conceptual foundation for both theoretical and practical implications for the improvement of risk management techniques at a specific travel destination in areas prone to earthquake hazards.
{"title":"Determinants influencing tourists’ willingness to visit Türkiye – Impact of earthquake hazards on Serbian visitors’ preferences","authors":"Ivana Blešić, Milan Ivkov, Tamara Gajić, Marko D. Petrović, Milan M. Radovanović, Aleksandar Valjarević, Slavica Malinović-Milićević, Marina Vukin, Jovanka Popov Raljić, Dušan Puhar, Tin Lukić","doi":"10.1515/geo-2022-0670","DOIUrl":"https://doi.org/10.1515/geo-2022-0670","url":null,"abstract":"Earthquakes are a rather complex natural phenomenon that cannot be prevented, and their effects can be catastrophic and have profound implications on various economic sectors (especially tourism). This study investigates the relationships between subjective factors (gender, age, education, previous experience, and disaster anxiety), the perceived travel risk, and the travel intention of tourists from Serbia to destinations in Türkiye. The pilot study was done in March 2023 with 110 respondents from the Faculty of Science, Department of Geography, Tourism, and Hotel Management, Novi Sad. After the validation of the instruments, the main survey was conducted in the period from March to June 2023. The subjects of interest were residents of Serbia over the age of 18. The data from this study are analyzed using the confirmatory factor analysis and path analyses. This study aims to enhance the understanding of perceived risk and travel intention, specifically focusing on Türkiye. The assessed outcome relates to how tourists perceive three specific categories of risk when traveling to destinations with a high risk of natural disasters, such as earthquake-prone areas. The findings suggest that older respondents tend to perceive lower physical and financial travel risks, even though the influence of age on the perception of socio-psychological risks was inconclusive. Further results reveal that individuals with prior experience tend to hold a heightened perception of physical, financial, and socio-psychological risks. An examination of the relationship between disaster anxiety and perceived travel risks indicates that physical, financial, and socio-psychological risks exert a negative influence on travel intention. Thus, this study may provide a conceptual foundation for both theoretical and practical implications for the improvement of risk management techniques at a specific travel destination in areas prone to earthquake hazards.","PeriodicalId":48712,"journal":{"name":"Open Geosciences","volume":"111 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142219902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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