Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Environmental Sciences
Title: Future changes of wind energy potentials over Europe in a large CMIP5 multi-model ensemble: FUTURE CHANGES OF WIND ENERGY OVER EUROPE IN A CMIP5 ENSEMBLE
Abstract: A statistical‐dynamical downscaling method is used to estimate future changes of wind energy output (Eout) of a benchmark wind turbine across Europe at the regional scale. With this aim, 22 global climate models (GCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble are considered. The downscaling method uses circulation weather types and regional climate modelling with the COSMO‐CLM model. Future projections are computed for two time periods (2021–2060 and 2061–2100) following two scenarios (RCP4.5 and RCP8.5). The CMIP5 ensemble mean response reveals a more likely than not increase of mean annual Eout over Northern and Central Europe and a likely decrease over Southern Europe. There is some uncertainty with respect to the magnitude and the sign of the changes. Higher robustness in future changes is observed for specific seasons. Except from the Mediterranean area, an ensemble mean increase of Eout is simulated for winter and a decreasing for the summer season, resulting in a strong increase of the intra‐annual variability for most of Europe. The latter is, in particular, probable during the second half of the 21st century under the RCP8.5 scenario. In general, signals are stronger for 2061–2100 compared to 2021–2060 and for RCP8.5 compared to RCP4.5. Regarding changes of the inter‐annual variability of Eout for Central Europe, the future projections strongly vary between individual models and also between future periods and scenarios within single models. This study showed for an ensemble of 22 CMIP5 models that changes in the wind energy potentials over Europe may take place in future decades. However, due to the uncertainties detected in this research, further investigations with multi‐model ensembles are needed to provide a better quantification and understanding of the future changes.
Extracted statement — Has result: changes in the wind energy potentials over Europe may take place in future decades.
Research field: Environmental Sciences
Title: Assessment of Cadmium and Lead Distribution in the Outcrop Rocks of Abakaliki Anticlinorium in the Southern Benue Trough, Nigeria
Abstract: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria. The outcrop rock samples from seven sampling locations were air–dried for seventy–two hours, homogenized by grinding and pass through < 63 micron mesh sieve. The ground and homogenized rock samples were pulverized and analyzed for cadmium and lead using X-Ray Fluorescence Spectrometer. The concentrations of heavy metals in the outcrop rock samples ranged from < 0.10 – 7.95 mg kg–1 for cadmium (Cd) and < 1.00 – 4966.00 mg kg–1 for lead (Pb). Apart from an anomalous concentration measured in Afikpo Shale (Middle Segment), the results obtained revealed that rock samples from all the sampling locations yielded cadmium concentrations of < 0.10 mg kg–1 and the measured concentrations were below the average crustal abundance of 0.50 mg kg–1. Although background concentration of <1.00 ± 0.02 mg kg–1 was measured in Abakaliki Shale, rock samples from all the sampling locations revealed anomalous lead concentrations above average crustal abundance of 30 mg kg–1. The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region. The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials. Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment. Therefore, monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Extracted statement — Has implementation: Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment.
Research field: Environmental Sciences
Title: Assessment of Cadmium and Lead Distribution in the Outcrop Rocks of Abakaliki Anticlinorium in the Southern Benue Trough, Nigeria
Abstract: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria. The outcrop rock samples from seven sampling locations were air–dried for seventy–two hours, homogenized by grinding and pass through < 63 micron mesh sieve. The ground and homogenized rock samples were pulverized and analyzed for cadmium and lead using X-Ray Fluorescence Spectrometer. The concentrations of heavy metals in the outcrop rock samples ranged from < 0.10 – 7.95 mg kg–1 for cadmium (Cd) and < 1.00 – 4966.00 mg kg–1 for lead (Pb). Apart from an anomalous concentration measured in Afikpo Shale (Middle Segment), the results obtained revealed that rock samples from all the sampling locations yielded cadmium concentrations of < 0.10 mg kg–1 and the measured concentrations were below the average crustal abundance of 0.50 mg kg–1. Although background concentration of <1.00 ± 0.02 mg kg–1 was measured in Abakaliki Shale, rock samples from all the sampling locations revealed anomalous lead concentrations above average crustal abundance of 30 mg kg–1. The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region. The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials. Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment. Therefore, monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Extracted statement — Conclusion: monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Research field: Environmental Sciences
Title: Wind extremes in the North Sea Basin under climate change: An ensemble study of 12 CMIP5 GCMs: WIND EXTREMES IN THE NORTH SEA IN CMIP5
Abstract: Coastal safety may be influenced by climate change, as changes in extreme surge levels and wave extremes may increase the vulnerability of dunes and other coastal defenses. In the North Sea, an area already prone to severe flooding, these high surge levels and waves are generated by low atmospheric pressure and severe wind speeds during storm events. As a result of the geometry of the North Sea, not only the maximum wind speed is relevant, but also wind direction. Climate change could change maximum wind conditions, with potentially negative effects for coastal safety. Here, we use an ensemble of 12 Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs) and diagnose the effect of two climate scenarios (rcp4.5 and rcp8.5) on annual maximum wind speed, wind speeds with lower return frequencies, and the direction of these annual maximum wind speeds. The 12 selected CMIP5 models do not project changes in annual maximum wind speed and in wind speeds with lower return frequencies; however, we do find an indication that the annual extreme wind events are coming more often from western directions. Our results are in line with the studies based on CMIP3 models and do not confirm the statement based on some reanalysis studies that there is a climate‐change‐related upward trend in storminess in the North Sea area.
Extracted statement — Has result: n indication that the annual extreme wind events are coming more often from western directions
Research field: Environmental Sciences
Title: Assessment of Cadmium and Lead Distribution in the Outcrop Rocks of Abakaliki Anticlinorium in the Southern Benue Trough, Nigeria
Abstract: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria. The outcrop rock samples from seven sampling locations were air–dried for seventy–two hours, homogenized by grinding and pass through < 63 micron mesh sieve. The ground and homogenized rock samples were pulverized and analyzed for cadmium and lead using X-Ray Fluorescence Spectrometer. The concentrations of heavy metals in the outcrop rock samples ranged from < 0.10 – 7.95 mg kg–1 for cadmium (Cd) and < 1.00 – 4966.00 mg kg–1 for lead (Pb). Apart from an anomalous concentration measured in Afikpo Shale (Middle Segment), the results obtained revealed that rock samples from all the sampling locations yielded cadmium concentrations of < 0.10 mg kg–1 and the measured concentrations were below the average crustal abundance of 0.50 mg kg–1. Although background concentration of <1.00 ± 0.02 mg kg–1 was measured in Abakaliki Shale, rock samples from all the sampling locations revealed anomalous lead concentrations above average crustal abundance of 30 mg kg–1. The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region. The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials. Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment. Therefore, monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Extracted statement — Has evaluation: The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region.
Research field: Environmental Sciences
Title: Assessment of Cadmium and Lead Distribution in the Outcrop Rocks of Abakaliki Anticlinorium in the Southern Benue Trough, Nigeria
Abstract: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria. The outcrop rock samples from seven sampling locations were air–dried for seventy–two hours, homogenized by grinding and pass through < 63 micron mesh sieve. The ground and homogenized rock samples were pulverized and analyzed for cadmium and lead using X-Ray Fluorescence Spectrometer. The concentrations of heavy metals in the outcrop rock samples ranged from < 0.10 – 7.95 mg kg–1 for cadmium (Cd) and < 1.00 – 4966.00 mg kg–1 for lead (Pb). Apart from an anomalous concentration measured in Afikpo Shale (Middle Segment), the results obtained revealed that rock samples from all the sampling locations yielded cadmium concentrations of < 0.10 mg kg–1 and the measured concentrations were below the average crustal abundance of 0.50 mg kg–1. Although background concentration of <1.00 ± 0.02 mg kg–1 was measured in Abakaliki Shale, rock samples from all the sampling locations revealed anomalous lead concentrations above average crustal abundance of 30 mg kg–1. The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region. The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials. Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment. Therefore, monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Extracted statement — Has implementation: The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials.
Research field: Environmental Sciences
Title: Assessment of Cadmium and Lead Distribution in the Outcrop Rocks of Abakaliki Anticlinorium in the Southern Benue Trough, Nigeria
Abstract: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria. The outcrop rock samples from seven sampling locations were air–dried for seventy–two hours, homogenized by grinding and pass through < 63 micron mesh sieve. The ground and homogenized rock samples were pulverized and analyzed for cadmium and lead using X-Ray Fluorescence Spectrometer. The concentrations of heavy metals in the outcrop rock samples ranged from < 0.10 – 7.95 mg kg–1 for cadmium (Cd) and < 1.00 – 4966.00 mg kg–1 for lead (Pb). Apart from an anomalous concentration measured in Afikpo Shale (Middle Segment), the results obtained revealed that rock samples from all the sampling locations yielded cadmium concentrations of < 0.10 mg kg–1 and the measured concentrations were below the average crustal abundance of 0.50 mg kg–1. Although background concentration of <1.00 ± 0.02 mg kg–1 was measured in Abakaliki Shale, rock samples from all the sampling locations revealed anomalous lead concentrations above average crustal abundance of 30 mg kg–1. The results obtained reveal important contributions towards understanding of heavy metal distribution patterns and provide baseline data that can be used for potential identification of areas at risk associated with natural sources of heavy metals contamination in the region. The use of outcrop rocks provides a cost–effective approach for monitoring regional heavy metal contamination associated with dissolution and/or weathering of rocks or parent materials. Evaluation of heavy metals may be effectively used in large scale regional pollution monitoring of soil, groundwater, atmospheric and marine environment. Therefore, monitoring of heavy metal concentrations in soils, groundwater and atmospheric environment is imperative in order to prevent bioaccumulation in various ecological receptors.
Extracted statement — Aim: This study investigates the distribution of cadmium and lead concentrations in the outcrop rock samples collected from Abakaliki anticlinorium in the Southern Benue Trough, Nigeria.
Research field: Geographic Information Sciences
Title: Uncovering the Relationship between Human Connectivity Dynamics and Land Use
Abstract: CDR (Call Detail Record) data are one type of mobile phone data collected by operators each time a user initiates/receives a phone call or sends/receives an sms. CDR data are a rich geo-referenced source of user behaviour information. In this work, we perform an analysis of CDR data for the city of Milan that originate from Telecom Italia Big Data Challenge. A set of graphs is generated from aggregated CDR data, where each node represents a centroid of an RBS (Radio Base Station) polygon, and each edge represents aggregated telecom traffic between two RBSs. To explore the community structure, we apply a modularity-based algorithm. Community structure between days is highly dynamic, with variations in number, size and spatial distribution. One general rule observed is that communities formed over the urban core of the city are small in size and prone to dynamic change in spatial distribution, while communities formed in the suburban areas are larger in size and more consistent with respect to their spatial distribution. To evaluate the dynamics of change in community structure between days, we introduced different graph based and spatial community properties which contain latent footprint of human dynamics. We created land use profiles for each RBS polygon based on the Copernicus Land Monitoring Service Urban Atlas data set to quantify the correlation and predictivennes of human dynamics properties based on land use. The results reveal a strong correlation between some properties and land use which motivated us to further explore this topic. The proposed methodology has been implemented in the programming language Scala inside the Apache Spark engine to support the most computationally intensive tasks and in Python using the rich portfolio of data analytics and machine learning libraries for the less demanding tasks.
Extracted statement — Data:  Copernicus Land Monitoring Service Urban Atlas
Research field: Geographic Information Sciences
Title: A new insight into land use classification based on aggregated mobile phone data
Abstract: Land-use classification is essential for urban planning. Urban land-use types can be differentiated either by their physical characteristics (such as reflectivity and texture) or social functions. Remote sensing techniques have been recognized as a vital method for urban land-use classification because of their ability to capture the physical characteristics of land use. Although significant progress has been achieved in remote sensing methods designed for urban land-use classification, most techniques focus on physical characteristics, whereas knowledge of social functions is not adequately used. Owing to the wide usage of mobile phones, the activities of residents, which can be retrieved from the mobile phone data, can be determined in order to indicate the social function of land use. This could bring about the opportunity to derive land-use information from mobile phone data. To verify the application of this new data source to urban land-use classification, we first construct a vector of aggregated mobile phone data to characterize land-use types. This vector is composed of two aspects: the normalized hourly call volume and the total call volume. A semi-supervised fuzzy c-means clustering approach is then applied to infer the land-use types. The method is validated using mobile phone data collected in Singapore. Land use is determined with a detection rate of 58.03%. An analysis of the land-use classification results shows that the detection rate decreases as the heterogeneity of land use increases, and increases as the density of cell phone towers increases.
Extracted statement — Has result: The detection rate decreases as the heterogeneity of land use increases, and increases as the density of cell phone towers increases
Research field: Geology
Title: Textural and Heavy Minerals Characterization of Coastal Sediments in Ibeno and Eastern Obolo Local Government Areas of Akwa Ibom State – Nigeria
Abstract: Textural characterization and heavy mineral studies of beach sediments in Ibeno and Eastern Obolo Local Government Areas of Akwa Ibom State were carried out in the present study. The main aim was to infer their provenance, transport history and environment of deposition. Sediment samples were collected at the water–sediment contact along the shoreline at an interval of about 3m. Ten samples were collected from study location 1 (Ibeno Beach) and twelve samples were collected from study location 2 (Eastern Obolo Beach). A total of twenty–two samples were collected from the field and brought to the laboratory for textural and compositional analyses. The results showed that the value of graphic mean size ranged from 1.70Ф to 2.83Ф, sorting values ranged from 0.39Ф – 0.60Ф, skewness values ranged from -0.02 to 0.10 while kurtosis values ranged from 1.02 to 2.46, indicating medium to fine grained and well sorted sediments. This suggested that the sediments have been transported far from their source. Longshore current and onshore–offshore movements of sediment are primarily responsible in sorting of the heavy minerals. The histogram charts for the different samples and standard deviation versus skewness indicated a beach environment of deposition. This implies that the sediments are dominated by one class of grain size; a phenomenon characteristic of beach environments. The heavy mineral assemblages identified in this research work were rutile, zircon, tourmaline, hornblende, apatite, diopside, glauconite, pumpellyite, cassiterite, epidote, garnet, augite, enstatite, andalusite and opaque minerals. The zircon-tourmaline-rutile (ZTR) index ranged from 47.30% to 87.00% with most of the samples showing a ZTR index greater than 50%. These indicated that the sediments were mineralogically sub-mature and have been transported far from their source. The heavy minerals identified are indicative of being products of reworked sediments of both metamorphic (high rank) and igneous (both mafic and sialic) origin probably derived from the basement rocks of the Oban Massif as well as reworked sediments of the Benue Trough. Therefore, findings from the present study indicated that erosion, accretion, and stability of beaches are controlled by strong hydrodynamic and hydraulic processes.
Extracted statement — Conclusion: Findings from the present study indicated that erosion, accretion, and stability of beaches are controlled by strong hydrodynamic and hydraulic processes.