作者:
Ma, FengdiYoon, HeeyeunSeoul Natl Univ
Interdisciplinary Program Landscape Architecture 1 Gwanak Ro Seoul 08826 South Korea Seoul Natl Univ
Res Inst Agr Life Sci Coll Agr & Life Sci Integrated Major Smart City Gl Dept Landscape Architecture & Rural Syst Engn 1 Gwanak Ro Seoul 08826 South Korea
In recent years, urban areas are increasingly experiencing intense warming. Although urbanization is an important driver of warming in urban environments, it remains unclear whether depopulation trends in shrinking ci...
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In recent years, urban areas are increasingly experiencing intense warming. Although urbanization is an important driver of warming in urban environments, it remains unclear whether depopulation trends in shrinking cities mitigate this warming effect. Here, we explored the relationship between shrinking cities and observed warming in China. Of the 356 Chinese cities, 95 were identified as shrinking between 2000 and 2010. We categorized 2419 observation stations into three groups-rural, shrinking, and non-shrinking-and generated a surface air temperature (SAT) anomaly series for each group from 1961 to 2014. Temperature differences between the shrinking and non-shrinking urban stations were investigated. Using segmented generalized least squares regression, the spatiotemporal temperature patterns across the mean (Tmean), maximum (Tmax), and minimum temperatures (Tmin), diurnal temperature range (DTR) indicators, and across seasons-spring, summer, autumn, and winter-were explored. Results revealed a cooling effect in shrinking cities, with decadal decreases of 0.042 degrees C (-0.078 to -0.005 degrees C), 0.083 degrees C (-0.126 to -0.039 degrees C), and 0.029 degrees C (-0.062 to -0.005 degrees C) in regional Tmean, Tmax, and Tmin anomalies, respectively. Moreover, pronounced seasonality was identified in this phenomenon-the cooling effect was most notable for Tmean in spring and Tmax in autumn, less significant in summer, and negligible in winter. These results suggested that the population decline in shrinking cities could alleviate regional warming, having implications that could influence urban planning and climate mitigation policies.
The interactions of some microorganisms and microbial metabolites with the mineral surface are still being studied thanks to biotechnological advances. Studies on the usability of such microorganisms and metabolites i...
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The interactions of some microorganisms and microbial metabolites with the mineral surface are still being studied thanks to biotechnological advances. Studies on the usability of such microorganisms and metabolites in flotation are gradually increasing due to their potential to be eco-friendlier and more cost-effective alternatives. The primary goal of this research was to compare the ability of surfactin for magnesite-quartz separation as a collector in selective magnesite bioflotation to the results of classical flotation using oleate. In the experimental study, statistical experimental design methods were used. Mathematical models of the processes were created and also Gaudin selectivity indexes were calculated for both reagents. The feed, which contains approximately 19.70% SiO2, was cleaned with surfactin through one-stage magnesite flotation, reducing the silicate content to as low as 4.77%. Moreover, the efficiency and selectivity of magnesite flotation are retained by using surfactin even at high collector amounts and relatively low temperatures, unlike oleate. Novelty statement The novelty of this study was to determine the surfactin's applicability in magnesite-quartz separation in selective magnesite bioflotation. Bioflotation studies have shown that magnesite can be selectively floated from an ore containing magnesite and quartz. Considering that the feed contains approximately 19.7% SiO2, the ore was cleaned four times with surfactin using one-stage magnesite bioflotation, and the silicate content was reduced to as low as 4.77%.
With the ever-increasing need for miniaturized and biocompatible devices for physiological recordings, high signal fidelity and ease of fabrication are key to achieve reliable data collection. This calls for the devel...
With the ever-increasing need for miniaturized and biocompatible devices for physiological recordings, high signal fidelity and ease of fabrication are key to achieve reliable data collection. This calls for the development of active recording devices such as Organic Electrochemical Transistors (OECTs) which, compared to passive electrodes, offer local amplification. In this work, we built PEDOT:PSS based OECTs using novel inkjet printing technology, achieving a transconductance of 75 mS. The device was later used to amplify arbitrary signals simulating in vivo recordings. Gate voltage offset manipulation offered a range of current peak-to-peak amplitudes. Additionally, we demonstrate a simple circuit for voltage readings, where another resistor-dependent characterization involving voltage source and drain voltage is performed. At ideal operating point and when using a 220 Ω resistor, a gain of 14.5 is *** Relevance— 1 This work demonstrates the ability to rapidly and easily develop OECT-based technology for potential signal sensing for more accurate diagnosis of pathologies and diseases.
Nebraska's eastern saline wetlands are globally unique and highly vulnerable inland salt marsh ecosystems. This research aims to evaluate the status of the saline wetlands in eastern Nebraska to discover the condi...
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Nebraska's eastern saline wetlands are globally unique and highly vulnerable inland salt marsh ecosystems. This research aims to evaluate the status of the saline wetlands in eastern Nebraska to discover the conditions of saline wetland hydrology, hydrophytes, and hydraulic soil. The research adopts machine learning and Google Earth Engine to classify Sentinel-2 imagery for water and vegetation classification and the National Agriculture Imagery program imagery for salinity conditions. Six machine learning models are applied in water, soil, and vegetation detection in the study area. The optimal model (linear kernel SVM) generates an overall accuracy of 99.95% for water classification. For saline vegetation classification, the optimal model is the gradient tree boost with an overall accuracy of 94.07%. The overall accuracy values of saline soil classification using the optimal model (linear kernel SVM) varied among different years. The results of this study show the possibility of an observation approach for continuously monitoring Nebraska's eastern saline wetlands. The water classification results show that the saline wetlands in this area all have a similar temporal water cover pattern within each year. For saline vegetation, the peak season in this area is between June and July. The years 2019 (19.00%) and 2018 (17.69%) had higher saline vegetation cover rates than 2017 (10.54%). The saline soil classification shows that the saline soil area is highly variable in response to changes in the water and vegetation conditions. The research findings provide solid scientific evidence for conservation decision-making in these saline wetland areas.
Studies have been being carried out to make production faster and more organised in the shipbuilding industry, as in other industry. The fact that automation-based works are limited in the shipbuilding industry is one...
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Studies have been being carried out to make production faster and more organised in the shipbuilding industry, as in other industry. The fact that automation-based works are limited in the shipbuilding industry is one of the biggest challenges encountered in block production as in other stages of shipbuilding. The blocks are time-consuming and difficult components to produce in the shipbuilding process. They are the structures formed by joining the cut metal sheets, profiles and other components. These activities are carried out at the different stations of shipyards. Labour planning is one of the crucial issues in shipbuilding. In this study, the allocation of the required capacity during the pre-production stations of the block production, namely C and D, is examined stochastically. The amount of work, revisions and worker performance under uncertainty factors to be experienced in the production process are included in the problem. A two-stage stochastic mathematical recourse model was established to determine the amount of workforce capacity requirement (man*day) of the planning period at the pre-production station depending on the factors. Scenarios are determined randomly and the near-optimum solution was tried to be obtained by the Sample Average Approximation (SAA) approach.
The present work reports on high-performance and flexible supercapacitors assembled using a cost-effective and nonflammable electrolyte with activated carbon electrodes. The electrolyte was prepared by rapidly blendin...
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The present work reports on high-performance and flexible supercapacitors assembled using a cost-effective and nonflammable electrolyte with activated carbon electrodes. The electrolyte was prepared by rapidly blending a ternary system comprising poly(vinyl alcohol)(P)/glycerol (G)/boric acid (B) hydrogel doped with LiNO3 (Li),-henceforth denoted as PGBLi,-at ambient temperature. Once partial in situ cross-linking occurred between P and B, the polymer electrolytes were cast onto the carbon electrodes. The doped PGBLi hydrogel electrolyte retained excellent flexibility and high ionic conductivity in a broad temperature domain, while the performance of the assembled supercapacitor devices measured at low and high temperatures confirmed the high stability. Moreover, the supercapacitor exhibited 396 F g(-1) specific capacitance at 1 A g(-1) and 27.41 Wh kg(-1), obtained at a power density of 118 W kg(-1), while 95.4% capacitive performance was maintained after 10 000 cycles, indicating adequate cyclic stability. Thus, the as-doped PGBLi hydrogel electrolyte is inexpensive, biocompatible, and nonflammable and meets the criteria for flexible wearable electronics;it can be considered for a variety of applications.
Urban parks are part of the blue-green infrastructure of urban ecosystems. Although the cooling effect of urban parks has been widely recognized, the understanding of park cooling intensity (PCI) and its mechanisms re...
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Urban parks are part of the blue-green infrastructure of urban ecosystems. Although the cooling effect of urban parks has been widely recognized, the understanding of park cooling intensity (PCI) and its mechanisms remains incomplete. Applicable and accurate quantification could facilitate better design and management of urban parks. We used five methods (equal area method [EAM], equal radius method [ERM], fixed radius method [FRM], turning point method-maximum perspective [TPM-M], and turning point method-accumulation perspective [TPM-A]) to estimate PCI, and established the method selection mechanism, which we evaluated in terms of PCI amplitudes, spatial heterogeneity, and interactions with park landscape features. Using Nanjing as a case study, we employed spatial and statistical analyses to further assess the autocorrelation of PCI and its relationship with park landscape features. The results indicate the following: (1) 62.38 % of Nanjing's urban parks are located above the 90 % confidence level in cold spot areas. (2) Different methods had significant effects on the estimated PCI, were positively correlated, and had similar spatial heterogeneity. (3) All methods revealed that park area (PA), water area proportion (WAP), and the normalized difference vegetation index (NDVI) of the vegetated area (NDVIveg) were the three dominant factors that influenced PCI;WAP and NDVIveg that achieved more effective cooling. (4) The quantification of PCI using the ERM and TPM is recommended over other methods. These findings are essential for landscape planners to understand the formation of PCI and design cooler parks to mitigate the urban heat island (UHI) effect more systematically.
The purpose of the study was to investigate the possibility of using press filter cake (PFC) waste from sugar production in the preparation of anorthite ceramics. In this study, at first step, the properties of anorth...
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The purpose of the study was to investigate the possibility of using press filter cake (PFC) waste from sugar production in the preparation of anorthite ceramics. In this study, at first step, the properties of anorthite ceramic compositions produced using different proportions of press filter cake (PFC) as calcium oxide source and chamotte as aluminosilicate source were investigated. A single anorthite phase was obtained in samples containing high PFC ratios sintered at high temperature. In the second step, the PCH-35 (35% PFC plus 65% chamotte) ceramic composition was statistically analyzed to examine grinding parameters and sintering temperatures. This composition was ground and sintered at different parameters to investigate the effects on physical, mechanical, and morphological properties on anorthite ceramics. The results indicated that the anorthite phase formed in the powders sintered at 1200 degrees C and 1300 degrees C after grinding was the major phase. With increasing sintering temperature, grinding speed, and time, the samples exhibited lower porosity, higher bulk density, and compressive strength. With the sintering of the samples at 1200 degrees C, the percentage of apparent porosity decreased from 49.95 to 25%, while the bulk density value increased from 1.36 to 2.03 g/cm(3) with increasing grinding speed and time. When the samples were sintered at 1300 degrees C, the percentage of apparent porosity decreased from 49.59 to 0.33%, while the bulk density value increased from 1.33 to 2.54 g/cm(3) with increasing grinding speed and time. The compressive strength results (from 26 to 82 MPa) increased due to body densification with the effect of increasing sintering temperature, grinding speed, and time.
Waste and its environmental impact have driven the search for sustainable solutions across various industries, including construction. This study explores the incorporation of solid waste in the production of eco-frie...
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Waste and its environmental impact have driven the search for sustainable solutions across various industries, including construction. This study explores the incorporation of solid waste in the production of eco-friendly structural concrete, aiming to reduce pollution and promote ecological and sustainable construction practices. In this context, two types of eco-friendly concrete were produced using marine shells and recycled rubber as waste materials and compared with conventional concrete through experimental and computational approaches. The results demonstrated that the concrete with marine shells achieved a compressive strength of 32.4 MPa, 26.5% higher than conventional concrete, and a 1% reduction in weight. In contrast, the recycled rubber concrete exhibited a compressive strength of 22.5 MPa, with a 2 MPa decrease compared to conventional concrete, but a 4.3% reduction in density. Computational analysis revealed that porosity affects Young's modulus, directly resulting in a reduction in the maximum achievable strength. This work demonstrates that it is feasible to produce eco-friendly structural concrete through the proper integration of industrial waste, contributing to decarbonization and waste valorization.
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