bluuebunny/crossref_metadata_2025 huggingface dataset:
RUMENOTOMIA DE EMERGÊNCIA PARA RETIRADA DE CORPO ESTRANHO: RELATO DE CASO
Authors: Soares Willian Rodrigues , Reculiano Pablo Eliezer , Araujo Kleberson Conrado de
Published: October 2022

A rumenotomia é usada para diagnosticar e tratar várias condições que envolvem o estômago, incluindo reticulite, acidose ruminal, inchaço, reticulite traumática, remoção de materiais estranhos como bolsas e fios no trato digestivo e atonia do omaso ou abomaso. Também pode ser usado para tratar a atonia do estômago ou omaso que está localizado entre o retículo e o omaso ou no esôfago inferior. Sendo assim, esta pesquisa visa responder a seguinte questão: Quais os benefícios da cirurgia de rumenotomia para a saúde do animal? O objetivo geral deste estudo é abordar os benefícios da rumenotomia para a saúde do animal. A pesquisa consistiu em um estudo de caso qualitativo, no qual foram primeiramente selecionados artigos que abordam sobre a temática, tais artigos serão retirados das referidas bases de dados: Lilacs, Scielo e Periódicos Capes. Os artigos foram aqueles publicados nos últimos 05 anos, compreendendo o período de 2017 a 2022. A última etapa desta pesquisa consistiu no estudo de caso de um animal bovino reprodutor macho de aproximadamente 6 anos de idade, após a avaliação visual do animal feita pelos profissionais, optou-se por começar o procedimento de rumenotomia, visto que o proprietário tinha certeza que o animal avia ingerido o plástico. Contudo, os resultados mediante a observação da cirurgia de rumenotomia apontaram que esta é de grande benefício para a saúde do animal, pois através desta intervenção cirúrgica é possível remover possíveis resíduos indigestos ingeridos pelo animal, como por exemplo, plásticos, sacos, dentre outros.
Simulation of organic aerosol, its precursors and related oxidants in the Landes pine forest in south-western France: Need to account for domain specific land-use and physical conditions
Authors: Cholakian Arineh , Beekmann Matthias , Siour Guillaume , Coll Isabelle , Cirtog Manuela , Ormeno Elena , Flaud Pierre-Marie , Perraudin Emilie , Villenave Eric
Published: October 2022

Abstract. Organic aerosol (OA) still remains one of the most difficult components of the atmospheric aerosols to simulate, given the multitude of its precursors, the uncertainty of its formation pathways and the lack of measurements of its detailed composition. The LANDEX project (The LANDes Experiment), during its intensive field campaign in summer 2017, gives us not only the opportunity to compare biogenic secondary OA (BSOA), but also its precursors and oxidants obtained within and above the Landes forest canopy, to simulations performed with CHIMERE, a state of the art regional Chemistry-Transport Model. The Landes forest is situated in the south-western part of France, and is one of the largest anthropized forests in Europe (1 million ha), composed by a majority of maritime pine trees, strong terpenoid emitters, providing a large potential for biogenic SOA formation. In order to simulate OA build-up in this area, a specific model configuration set-up, adapted to the local peculiarities was necessary. As the forest is inhomogeneous, with interstitial agricultural fields, high-resolution 1 km simulations over the forest area were performed. BVOC emissions were predicted by MEGAN, but specific land cover information needed to be used, chosen from the comparison of several high-resolution land cover databases. Moreover, the tree species distribution needed to be updated for the specific conditions of the Landes forest. In order to understand the canopy effect in the forest, canopy effects on vertical diffusivity, winds and radiation were implemented in the model in a simplified way. The refined simulations show a redistribution of BVOCs with a decrease in isoprene and an increase in terpenoid emissions with respect to the standard case, in line with observations. Corresponding changes on simulated BSOA sources are tracked. Very low night-time ozone, sometimes near zero, remains overestimated in all simulations. This has implications to the night-time oxidant budget, including NO3. Despite careful treatment of physical conditions, simulated BSOA is overestimated in the most refined simulation. Simulations are also compared to air quality sites surrounding the Landes forest, reporting a more realistic simulation in these stations in the most refined test case. Finally the importance of the see breeze system which also impacts species concentrations inside the forest is made evident.
Near Global Distributions of Overshooting Tops Derived from Terra and Aqua MODIS Observations
Authors: Hong Yulan , Trapp Robert J. , Nesbitt Stephen W. , Di Girolamo Larry
Published: October 2022

Abstract. Overshooting cloud tops (OT) form in deep convective storms when strong updrafts overshoot the tropopause. An OT is a well-known indicator for convective updrafts and severe weather conditions. Here, we develop an OT detection algorithm using thermal IR channels and apply this algorithm to about 20-year MODIS data from both Terra and Aqua satellites to form an extensive, near global climatology of OT occurrences. The algorithm is based on a logistic model which is trained using A-Train observations. We demonstrate that the overall accuracy of our approach is about 0.9 when the probability of the OT candidates is larger than 0.9. The OT climatology reveals a pattern that follows the climatology of deep convection, as well as shallow convection over the mid-latitude oceans during winter cold air outbreaks. OTs appear most frequently over the Intertropical Convergence Zone (ITCZ), central and southeast North America, tropical and subtropical South America, southeast and south Asia, tropical and subtropical Africa, and northern middle-high latitudes. OT spatial distributions show strong seasonal and diurnal variabilities. Seasonal OT variations shift with large-scale climate systems such as the ITCZ and local monsoonal systems, including the South Asian Monsoon, North American Monsoon and West African Monsoon. OT diurnal variations agree with the known diurnal cycle of convection: Maximum OT occurrences are in the afternoon over most land area and around midnight over ocean; and the OT diurnal cycle is stronger and more varied over land than over ocean. OTs over land are usually colder than over ocean except around 10:30 am. The top 10 coldest OTs from both Terra and Aqua mostly occur over land and at night. This study provides OT climatology for the first time derived from two-decade MODIS data that represents the longest and stable satellite records.
ChemicalDrift 1.0: an open-source Lagrangian chemical fate and transport model for organic aquatic pollutants
Authors: Aghito Manuel , Calgaro Loris , Dagestad Knut-Frode , Ferrarin Christian , Marcomini Antonio , Breivik Øyvind , Hole Lars Robert
Published: October 2022

Abstract. A new model for transport and fate of chemicals in the aquatic environment is presented. The tool, named ChemicalDrift, is integrated in the open-source Lagrangian framework OpenDrift, and is hereby presented for organic compounds. The supported chemical processes include the degradation, the volatilization, and the partitioning between the different phases that a target chemical can be associated to in the aquatic environment, e.g. dissolved, bound to suspended particles, or deposited to the seabed sediments. The dependencies of the chemical processes on changes of temperature, salinity, and particle concentration, are formulated and implemented. The chemical fate modelling is combined with wide support for hydrodynamics by the integration within the Lagrangian framework which provides, e.g., advection by ocean currents, diffusion, wind induced turbulent mixing, and Stokes drift generated by waves. A powerful interface to a wide range of available metocean data is made available by the integration, making the tool flexible and adaptable to different spatio-temporal scales and fit for modelling of complex coastal regions. Further inherent capabilities of the Lagrangian approach include the seamless tracking and separation of multiple sources as, e.g., pollutants emitted from ships or from rivers or water treatment plants. Specific interfaces to a dataset produced by a model of emissions from shipping, and to an unstructured-grid oceanographic model of the Adriatic Sea, are provided. The model includes a database of chemical parameters for a set of poly-aromatic hydrocarbons, and a database of emission factors for different chemicals found in discharged waters from sulphur emission abatements systems in marine vessels. A post-processing tool for generating mean concentrations of a target chemical, over customizable spatio-temporal grids, is provided. Model development and functional testing are presented, while tuning of parameters, validation, and reporting of numerical results, are planned as future activities. The ChemicalDrift model flexibility, functionalities, and potential, are demonstrated through a selection of examples, introducing the model as a valuable tool for chemical fate and transport, that can be applied to assessment of the risks of contamination by organic pollutants in the aquatic environment.
FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms
Authors: Sadri Sara , Famiglietti James S. , Pan Ming , Beck Hylke E. , Berg Aaron , Wood Eric F.
Published: October 2022

Abstract. In the coming decades, a changing climate, the loss of high-quality land, the slowing in the annual yield of cereals, and increasing fertilizer use indicate that better agricultural water management strategies are needed. In this study, we designed FarmCan, a novel, robust remote sensing and machine learning (ML) framework to forecast farms' needed daily crop water quantity or needed irrigation (NI). We used a diverse set of simulated and observed near-real-time (NRT) remote sensing data coupled with a random forest (RF) algorithm and inputs about farm-specific situations to predict the amount and timing of evapotranspiration (ET), potential ET (PET), soil moisture (SM), and root zone soil moisture (RZSM). Our case study of four farms in the Canadian Prairies Ecozone (CPE) shows that 8 d composite precipitation (P) has the highest correlation with changes (Δ) of RZSM and SM. In contrast, 8 d PET and 8 d ET do not offer a strong correlation with 8 d P. Using R2, root mean square error (RMSE), and Kling–Gupta efficiency (KGE) indicators, our algorithm could reasonably calculate daily NI up to 14 d in advance. From 2015 to 2020, the R2 values between predicted and observed 8 d ET and 8 d PET were the highest (80 % and 54 %, respectively). The 8 d NI also had an average R2 of 68%. The KGE of the 8 d ET and 8 d PET in four study farms showed an average of 0.71 and 0.50, respectively, with an average KGE of 0.62. FarmCan can be used in any region of the world to help stakeholders make decisions during prolonged periods of drought or waterlogged conditions, schedule cropping and fertilization, and address local government policy concerns.
AU-NET: A DEEP LEARNING NETWORK FOR PRECISE WATER BODY EXTRACTION IN THE MIDDLE AND LOWER REACHES OF THE YELLOW RIVER
Authors: Liu C. , Guo X. , Jiang J.
Published: October 2022

Abstract. Accurate and effective extraction of water body information is an important prerequisite for hydrological studies of the Yellow River. However, there is a scattered and frequently swing water flow in the middle and lower reaches of the Yellow River. Traditional water body extraction methods mainly rely on handcrafted statistical features, which cannot fully extract river body in real-world conditions. To deal with these problems and achieve more accurate results, an AU-Net network is proposed to expand the receptive field of the convolutional kernel and incorporate the detailed information of multi-scale features, which improves the ability to extract the middle and lower reaches of the Yellow River from remote sensing images. The experimental results illustrate that compared to the other methods, the AU-NET model has higher recognition accuracy (MPA = 0.97 and MIoU = 0.99) on the water body dataset in the middle and lower reaches of the Yellow River. And the network has high robustness and good fitting, which can better extract the middle and lower reaches of the Yellow River.
SPATIAL AND TEMPORAL DISTRIBUTION CHARACTERISTICS OF CULTURAL RELICS PROTECTION UNITS AND DISASTER RISK ANALYSIS IN BEIJING
Authors: Liu H. , Chen Y.
Published: October 2022

Abstract. As the ancient capital of the Six Dynasties and the current capital, Beijing has a rich historical and cultural heritage. As a carrier of culture, cultural preservation units have significant historical, artistic, and scientific value in their own right. In this paper, we use the mean nearest neighbor, kernel density analysis, and standard deviation ellipse tools in ArcGIS 10.2 software to analyze the spatial and temporal distribution characteristics of different types and periods of cultural heritage units in Beijing and their potential seismic and meteorological hazard risks, to provide strong data support for the conservation and use of cultural heritage units in Beijing. The results show that the different types of cultural preservation units in Beijing are unevenly distributed, with the two categories of modern important historical sites and representative buildings and ancient buildings being more numerous and concentrated in Dongcheng District, Xicheng District, and Haidian District in central Beijing, and the three categories of ancient tombs, ancient ruins, cave temples, and stone carvings being less numerous and concentrated in the outer administrative districts of Beijing. In recent years, the relative humidity in Beijing has shown a decreasing trend, while the average temperature has shown an increasing trend, and this dry and hot environment is not conducive to the conservation of cultural preservation units. This dry and hot environment is not conducive to the protection of cultural preservation units and is prone to damage such as cracking, collapse, deformation, and discoloration of bamboo, wood, rocks, and other cultural heritage elements. It is concluded that in terms of specific regions, the number of cultural heritage units in central Beijing is high, the period is late and the risk of seismic hazards is high, while the number of cultural heritage units in the outer administrative regions of Beijing is low, the period is early and the risk of seismic hazards is low. In conclusion, to enhance the conservation and use of cultural heritage units in Beijing, the relevant authorities should strengthen the daily management of the three high-density and high-risk areas of cultural heritage units in Dongcheng District, Xicheng District, and Haidian District, while at the same time not relaxing the emergency disaster prevention and mitigation of the smaller number and earlier period of cultural heritage units in the peripheral administrative districts.
EVENT GRAPH CONSTRUCTION METHOD ON NATURAL DISASTER RESEARCH
Authors: Liu K. , Yin C. , Sun Y. , Du M.
Published: October 2022

Abstract. The analysis of natural hazards is still lacking in real-time and comprehensiveness. To enhance the intelligent analysis of disasters, reduce natural disasters, and provide more timely and accurate disaster warnings. The method of constructing a natural disaster research event graph using the abstracts of research literature related to natural disaster analysis as the data source is proposed. First, a rule-based matching algorithm combined with syntactic analysis is used to extract the events of the disaster analysis process and spatio-temporal information from the abstract; Then build an event storage model based on Neo4j to store the event chain and related information; Then use Word2vec to convert events into word vectors, and define the event similarity as a linear sum of the object similarity and predicate similarity of the two events, combine event similarity setting equation to calculate core nodes and perform event generalization and fusion of graphs. Based on the above method, soil erosion is used as an example to construct an event graph and provide the basis for decision making services for intelligent analysis of natural disasters.
DIFFERENTIAL SEMI-QUANTITATIVE URBAN RISK ASSESSMENT OF STORM SURGE INUNDATION
Authors: Wang Y. , Chen X. , Wang L.
Published: October 2022

Abstract. Storm surge inundation hazards annually cause billions in economic losses globally, and millions of coastal residents live in danger. Properly understanding and assessing storm surge inundation are essential measures to guarantee the sustainable construction of coastal cities. In this paper, a differentiated urban risk semi-quantitative assessment method for storm surge inundation is proposed to evaluate the risk of storm surge hazard causing inundation to the coastal city. The Finite Volume Community Ocean Model (FVCOM) and the Jelesnianski model restore the historical storm surge cases to reveal hazards. The point of interest data and the urban land use and land cover data are utilized to assess the vulnerability of the coastal city, and a differentiated risk assessment method is proposed to evaluate the risks for urban facilities in the hazard. As an illustration, the method is utilized to assess storm surge Mangkhut in 2018 in Shenzhen, Guangdong Province, China. The vulnerability of the Shenzhen downtown area is assessed and designed as a map to visualize the strategic area. According to numerical simulation and inundation region mapping, the danger and the risk assessment map are made to intuitively present the distribution of the hazard-affected region.
EVALUATION OF SEVERAL FULLY CONVOLUTIONAL NETWORKS IN SAR IMAGE CHANGE DETECTION
Authors: Ji L. , Zhao Z. , Huo W. , Zhao J. , Gao R.
Published: October 2022

Abstract. In recent years, the world is suffering from frequent natural disasters. Change detection (CD) technology can quickly identify the change information on the ground and has developed into an important means of disaster monitoring and assessment. Synthetic aperture radar (SAR) has the characteristics of periodic observation and wide coverage. Moreover, SAR has the advantages of penetrating, all-day and all-weather observation, which plays an important role in disaster monitoring. Due to the rapid development of satellite sensors, the available CD data has been greatly enriched. This situation provides an opportunity for deep learning change detection (DLCD) techniques. However, SAR data are affected by speckle noise and lack of available labeled samples, it remains challenging to precisely locate the change information with high efficiency. This paper focuses on several commonly used and outstanding networks in the DLCD field to evaluate their performance and develop them to SAR data. In addition, Transfer learning experiments are designed to evaluate the generalization performance of each network for the CD task. The experimental results show that the Siamese CD network encoding multi-temporal data separately has the best ability to detect changes and generalization performance. In addition, adding high quality explicit difference guidance information to the network is more specific for the CD task, which can further improve network performance and refine the boundaries of changed ground objects on change map.
ANALYSIS OF THE SUPER TYPHOON RAI-INDUCED INFRASTRUCTURE DAMAGE IN SEVERELY AFFECTED AREAS OF CARAGA REGION, PHILIPPINES USING SENTINEL-1 SAR IMAGERIES
Authors: Bolanio K. P. , Bermoy M. M. , Gagula A. C. , Vernante J. G. , Boligor A. M. , Cabañelez J. M.
Published: October 2022

Abstract. The Philippines is prone to typhoons because of how it is geographically located around the globe. A recent event that devastated many parts of Mindanao and Visayas was super typhoon Odette with the international name “Rai.” It was estimated that damage to infrastructures equates to over P17.71 billion as of January 10, 2022, and that Caraga Region has suffered the most significant loss totalling more than P12.82 billion. Due to the large-scale incurred damages, the number of people who were affected and suffered heavy economic loss, it is necessary to find ways that would provide spatial information to help decision-makers, stakeholders, and emergency respondents to prioritize areas which need the utmost concern. Over the past years, damage assessment maps were derived from optical images, which are weather-dependent and free. However, appropriate satellite images are hard to come by, especially during typhoons where clouds are prominent. Sentinel-1 SAR imagery was used because of its unique characteristics. It is not weather-dependent, before and after images from the event are available, and it is an open-source data. Damage maps were generated by detecting the change in the complex coherence between pre-and co-typhoon stacked images. Results were validated using high-resolution satellite images from reliable sources, finding out that there is good correspondence between the coherence-based change images and ground data depicted from high-resolution satellite images. It is concluded that Sentinel-1 SAR imagery could capture the extent of damages and help provide timely and accurate geospatial information during catastrophic events.
RESEARCH ON THE CHARACTERISTICS OF PRESENT CRUSTAL DEFORMATION IN BEIJING AREA BASED ON GNSS
Authors: Li Y. , Wang Y. B. , Shi H. B. , Zhu J.
Published: October 2022

Abstract. We use the GAMIT/GLOBK software to process more than 100 GNSS sites observation covering the Beijing area from 1999–2021 to obtain the three-dimensional velocity field of present-day crustal movement, and the deformation and strain characteristics of Beijing were calculated and comprehensively analyzed by combining with historical earthquakes. The results show that: 1) The present-day horizontal crustal motion of Beijing is dominated by the SEE direction with a rate of 5-10 mm/a with relative to the stable Eurasian reference frame, and the northern and southern areas show uplift as a whole with a rate of 1–3 mm/a, while the central plain area shows overall subsidence, with a maximum subsidence rate of about 130 mm/a. 2) The horizontal deformation is mainly N-E/N-W extension, accompanied by weak shear activity. 3) The N-W trending faults show sinistral strike slip movement as a whole, with about 1.1–2.0 mm/a, and N-E trending faults show dextral strike slip with a rate of less than 1 mm/a. 4) The historical large earthquakes are distributed within the positive and negative gradient zones of the first shear strain rate, transition zones of the rotation rate, and are mostly distributed at the edges of the high and low value zones of the second shear strain rate, and the edges of the high value zones of the east-west strain rate also have a background of large earthquakes.
POI POINT ENTITY MATCHING AND FUSION BASED ON MULTI SIMILARITY CALCULATION
Authors: Zhao J. , Niu X. , Cui Y. , Zhao Y. , Guo M. , Zhang R.
Published: October 2022

Abstract. This paper presents a multi-source POI matching method with multi feature similarity, which can effectively solve the problem of low matching accuracy of POI data from different sources. The spherical distance method, editing distance method and Jaro Winkler method are combined to calculate the distance, name, address distance and other main attributes of POI data. Then the importance of each feature index is analyzed by using analytic hierarchy process, and the feature weight of each similarity is obtained. The candidate matching objects are screened according to the total similarity to determine the final matching object. Finally, POI points are fused by selecting spherical center coordinates, name aliasing and address normalization methods. Experiments show that the recall and accuracy of this method for POI matching point recognition are significantly higher than those based on name similarity and distance similarity. The recall rate increased by 17.43% and 5.17% respectively, and the accuracy rate increased by 4.37% and 1.22%.It provides more comprehensive and accurate data support for urban function analysis and smart city construction.
RESEARCH ON THE WAY OF SHARING GEOGRAPHIC INFORMATION DATA IN DISASTER MANAGEMENT
Authors: Zhao T. T. , Liu W. Z. , Di X. L. , Li R. , Wang X. P. , Zhai X. , Zhu X. L. , Zhang Y. , Peng Y. L.
Published: October 2022

Abstract. In the process of disaster emergency response, how to achieve rapid sharing of geographic information data is still a difficult problem to be solved. Combining the demand for emergency geographic information data in response to emergencies and major natural disasters in China, investigating the current situation of existing emergency geographic information data sharing, and based on the actual emergency geographic information service guarantee work, this paper researches and analyzes the sharing demand, designs the emergency geographic information data sharing model, and studies the emergency geographic information data sharing mechanism from the aspects of sharing platform, data sharing requirements, and service sharing requirements.
RESEARCH ON EMERGENCY RESCUE RESPONSE IN WENCHUAN COUNTY IN CHINA BASED ON BAIDU MAP NAVIGATION DATA
Authors: Zhou Z. , Zhang X. , Li M. , Wang X. , Chen B. , Xu Z. , Li Z.
Published: October 2022

Abstract. Earthquake disasters often cause massive casualties and property losses, so it is essential to achieve rapid emergency rescue response. Although many scholars have studied the speed of emergency rescue response from different perspectives, there are still many problems in the impact of road congestion on travel paths and distances, as well as the timeliness of the road network. Therefore, this study calculated the travel distance from the rescue point to the disaster point using the path planning method based on the Baidu map navigation data, and obtained the distribution map of the emergency rescue response level in Wenchuan County, Sichuan Province, China. The results show that :(1) the path planning method based on Baidu map navigation data is more realistic and accurate than the traditional method. (2) there are apparent spatial differences in the emergency rescue response in Wenchuan County, and the emergency rescue response level in Weizhou town in the north is higher than that in Wolong and Sanjiang town in the southwest. The research results have significant reference value for planning emergency rescue routes and improving rescue speed in Wenchuan County and similar counties.
TEMPORAL AND SPATIAL CHANGE DETECTION OF ECOLOGICAL ENVIRONMENT QUALITY IN SHANXI PROVINCE BASED ON REMOTE SENSING
Authors: Wang S. , Song Y. , Qin W. , Tu Y. , Li B. , Zhang Z.
Published: October 2022

Abstract. Long term coal mining produces pollutants such as coal gangue, coal mine gas and mine water. With the rapid urbanization, the increased environmental burden has led to the deterioration of environmental pollution problems, which seriously restricts the harmonious and sustainable development of the ecological economy. In order to understand the changes of the ecological environment in Shanxi Province in the past seven years, this paper selects the ground remote sensing data of Shanxi Province in the winter of 2013–2019 to obtain remote sensing ecological indicators (RSEI) that comprehensively reflect the ground ecological status, and uses spatial autocorrelation and geological detectors to explore the driving factors of the ecological environment differences in Shanxi Province, revealing the dynamic mechanism of the RSEI differences in Shanxi Province. The results show that the overall ecological environment quality in winter in Shanxi Province has a downward trend from 2013 to 2017 and an upward trend from 2018 to 2019. The spatial distribution of ecological environment quality between 2013 and 2019 is positively correlated. The clustering and outlier analysis chart of RSEI shows that in the seven years from 2013 to 2019, there are stable high value clusters in the north of Shanxi Province, while there are more low value clusters in the south. The significance test results show that the output value of the primary industry and the output value of the secondary industry dominated from 2013 to 2019.
FINER-SCALE MONITORING AND ANALYSIS OF 2016–2021 DUST STORMS DISASTERS IN CHINA BASED ON HIMAWARI-8 SATELLITE IMAGERIES
Authors: Chen M. , Luo N. , Du M.
Published: October 2022

Abstract. Today, remote sensing is one of the important techniques for natural disasters monitoring. Using the Himawari-8 new generation of geostationary meteorological satellite image data, we identified and monitored 2016–2021 dust storm disasters in China at the finer scale, and compared the object-oriented classification, supervised and unsupervised classification methods. Taking the dust storm on May 5, 2016 as example, the average accuracy and kappa coefficient of the supervised classification were 0.78 and 0.68, while the object-oriented classification were 0.81, 0.73. We used the object-oriented classification method to classify the 2016-2021 dust storm incidents across China. In 2021, the largest area affected by sandstorms was about 68.33km2, the smallest area was about 2.08km2, and the average area was about 22.25km2. During 2016–2021, the most severe and wide-spreading sandstorm occurred on March 14–18 2021. The dust storm first appeared in northwestern Mongolia on March 14, and then spread southeast to China. The dust area covered Beijing on the 15th, and then spread from eastern China to the western regions of North China and Northeast China, including most of the Hexi Corridor. On the 16th and 17th, the influence of the dust storms narrowed to central and western Inner Mongolia, northern Gansu and southern Mongolia. The dust storm gradually disappeared on the 18th.
KNOWLEDGE GRAPH ENABLED REPRESENTATION AND EXPLORATION FOR URBAN HISTORICAL BUILDINGS: A CASE STUDY IN BEIJING, CHINA
Authors: Cao X. , Guo X. , Jiang J.
Published: October 2022

Abstract. Urban Historical Buildings (UHBs) preserve the past and memory of a city. Collecting and managing UHB knowledge efficiently is of vital importance to protect local culture heritages and meet the demands of sustainable development. However, UHB knowledge is commonly hidden in the texts from different sources, making it hard to access and manage by general methods efficiently. Meanwhile, domain agnostic knowledge graphs are challenging to express the rich semantic and multi-hop relationships among UHB knowledge. To address the above problems, we proposed a general framework for the extraction and management of the key knowledge from free texts about urban historical buildings. In this study, we attempted to build an UHB knowledge graph from free texts obtained from Internet. Firstly, we designed the UHB domain ontology to regulate the knowledge of urban historical building. Next, the structured knowledge was extracted from web text with Natural Language Processing (NLP) technologies. Finally, we built the UHB knowledge base and developed a Beijing UHB knowledge graph. Furthermore, we demonstrated knowledge retrieval and visualization based on UHB knowledge graph. Our experiment shows that mining UHB knowledge from free text is feasible and important for urban historical building conservation efforts.
DATABASE CONSTRUCTION AND INTEGRATED DISPLAY OF 3D CITY MODELING DATA
Authors: Zhai Z. K. , Zhao W. H. , Liu J. J. , Liu J. W. , Gao Y. , Che J.
Published: October 2022

Abstract. With the rapid development of computer technology and geographic information system (GIS), three-dimensional (3D) data are becoming an important aspect of GIS. It can provide more information than traditional two-dimensional (2D) surveying and mapping data. It plays vital important role in city building and management. In this paper, 3D city modeling data of different type are collected, including til t 3D dataata, building model data, BIM data and underground data. Then database construction is completed by using the distributed database method, which can greatly improve the efficiency of data access and display. Furthermore, these data are processed and published as standard data services. Then a system is developed to display these data integrated with digital elevation model (DEM) data and remote sensing image data. It can provide data and technology support for the management of various natural resources. In the future, there will be further optimization of this system. We will continue to promote the application of these data to serve the government and the people. We also hope more and more data can be integrated into this system.
THERMAL ENVIRONMENT OF RESIDENTIAL COMMUNITIES OVER A COAST AREA IN SOUTHEASTERN CHINA
Authors: Chen F. , Shen X. W. , Huang D. F. , Huang Y. X.
Published: October 2022

Abstract. The characters of the residential communities over Tong’an District of Xiamen City in thermal environment as well as in biophysical factors were investigated mainly based on the Lansat-8 OLI/TIRS Collection 2 Level-2 products. Specifically, the surface temperature product was used in measuring thermal environment, and the surface reflectance product was used to derive biophysical factors through the tasseled cap transformation as well as the normalized difference vegetation index (NDVI). Among the four types of residential community, the old community in urban area was generally lower in NDVI and in the Wetness component and therefore had higher surface temperature. Varied relationships of surface temperature with biophysical factors among four types were observed, which also demonstrated seasonal variation. At the same time, the preliminary investigation showed that the residential communities located in rural-urban fringe and a small portion of village communities had confronted with problems in thermal environment as well as in surface biophysical conditions. Furthermore, limitations of this study were discussed, mainly in spatial resolution and temporal representativeness of the Landsat-8 OLI/TIRS data, in biophysical components derived from the multi-spectral reflectance without depicting actual landscape, and in no consideration for the background of individual community. As the whole district covers wide and complex territory along with different local climate types, more investigations in details are required.
Subglacial hydrology modulates basal sliding response of the Antarctic ice sheet to climate forcing
Authors: Kazmierczak Elise , Sun Sainan , Coulon Violaine , Pattyn Frank
Published: October 2022

Abstract. Major uncertainties in the response of ice sheets to environmental forcing are due to subglacial processes. These processes pertain to the type of sliding or friction law as well as the spatial and temporal evolution of the effective pressure at the base of ice sheets. We evaluate the classic Weertman–Budd sliding law for different power exponents (viscous to near plastic) and for different representations of effective pressure at the base of the ice sheet, commonly used for hard and soft beds. The sensitivity of the above slip laws is evaluated for the Antarctic ice sheet in two types of experiments: (i) the ABUMIP experiments in which ice shelves are instantaneously removed, leading to rapid grounding-line retreat and ice sheet collapse, and (ii) the ISMIP6 experiments with realistic ocean and atmosphere forcings for different Representative Concentration Pathway (RCP) scenarios. Results confirm earlier work that the power in the sliding law is the most determining factor in the sensitivity of the ice sheet to climatic forcing, where a higher power in the sliding law leads to increased mass loss for a given forcing. Here we show that spatial and temporal changes in water pressure or water flux at the base modulate basal sliding for a given power, especially for high-end scenarios, such as ABUMIP. In particular, subglacial models depending on subglacial water pressure decrease effective pressure significantly near the grounding line, leading to an increased sensitivity to climatic forcing for a given power in the sliding law. This dependency is, however, less clear under realistic forcing scenarios (ISMIP6).
Brief communication: The Impact of Interannual Melt Supply Variability on Greenland Ice Sheet Moulin Inputs
Authors: Hill Tim , Dow Christine F.
Published: October 2022

Abstract. The supraglacial drainage system of the Greenland Ice Sheet, in combination with surface melt rate, controls the rate of water flow into moulins, driving subglacial water pressure. We apply a physically-based surface meltwater flow model to a ∼20 × 27 km2 catchment on the southwestern Greenland Ice Sheet in high and low melt years to examine the impact of surface melt rate and variability on moulin inputs. The model outputs predict important differences in moulin inputs between high and low melt years. These dynamic model outputs will be important in driving future process-scale subglacial hydrology models.
Subseasonal precipitation forecasts of opportunity over central southwest Asia
Authors: Breeden Melissa L. , Albers John R. , Hoell Andrew
Published: October 2022

Abstract. Subseasonal forecasts of opportunity (SFOs) for precipitation over
southwest Asia during January–March at lead times of 3–6 weeks are
identified using elevated expected forecast skill from a linear inverse
model (LIM), an empirical dynamical model that uses statistical
relationships to infer the predictable dynamics of a system. The expected
forecast skill from this LIM, which is based on the atmospheric circulation,
tropical outgoing longwave radiation, and sea surface temperatures, captures
the predictability associated with many relevant signals as opposed to just
one. Two modes of variability, El Niño–Southern Oscillation (ENSO) and
the Madden–Julian Oscillation (MJO), which themselves are predictable
because of their slow variations, are related to southwest Asia
precipitation SFOs. Strong El Niño events, as observed in 1983, 1998,
and 2016, significantly increase the likelihood by up to 3-fold of an SFO 3–4 and 5–6 weeks in advance. Strong La Niña events, as observed in 1989, 1999, 2000, also significantly increase the likelihood of an SFO at those same lead times. High-amplitude MJO events in phases 2–4 and 6–8 of greater than one standardized departure also significantly increase the
likelihood of an SFO 3–4 weeks in advance. Predictable atmospheric
circulation patterns preceding anomalously wet periods indicate a role for
enhanced tropical convection in the South Pacific convergence zone (SPCZ)
region, while suppressed convection is observed preceding predictable dry
periods. Anomalous heating in this region is found to distinguish wet and
dry periods during both El Niño and La Niña conditions, although the atmospheric circulation response to the heating differs between each ENSO phase.
Uso locale di una figura internazionale: la commemorazione di Francisco Ferrer in provincia di Modena (1909-1910)
Authors: Degli Esposti Fabio
Published: October 2022

Local Use of an International Figure: the Commemoration of Francisco Ferrer in the Province of Modena (1909-1910) The essay analyzes the events of the “Tragic Week of Barcelona” and the protests for the condemnation and execution of Francisco Ferrer y Guardia in October 1909. In particular it examines the phase of transitory union between the forces of the Modenese left – socialists and revolutionary syndicalists – engaged in a “battle for commemoration”, consisting in the naming of streets and the affixing of plaques in honor of the Catalan anarchist, which pitted them against both the clerical circles and the governmental authorities.
“¿Puede aprovecharse uno de la maldad ajena?” (II) Iter hispanicum de un tema italiano: de fray Luis de León a Cervantes (y Spinoza)
Authors: Díaz Martín José Manuel
Published: October 2022

El presente artículo tiene como fin principal publicar la traducción de la lección de fray Luis de León del título, recientemente publicada y, como homenaje a este hecho, presentar la misma ofreciendo al lector el camino que la cuestión original planteada en la lección —con una trayectoria previa en Italia- recorre en el pensamiento español del XVII. Un camino que tiene dos grandes hitos: Cervantes y Spinoza. Cervantes, como se tratará de mostrar, desde una lectura directa del texto de fray Luis, reflejada en su novela quijotesca El curioso impertinente. Spinoza, en cambio, más bien como filósofo impregnado de la cultura española y su pensamiento moral, del que se despega, como permite mostrar precisamente la reflexión anterior, al acoger el marco cartesiano de pensamiento ya en sus inicios, en el Tractatus de Intellectus Emendatione.
Los conceptos y los dioses: máscaras de la realidad y crítica a la Modernidad en Ortega y Zambrano
Authors: Gutiérrez Simón Rodolfo
Published: October 2022

El objetivo marcado en este trabajo es establecer una línea de continuidad entre el pensamiento de Ortega y el de María Zambrano, situando a ambos en un contexto común de crítica a ciertos excesos de la Modernidad. Así, la propuesta se basa en un análisis de la racionalidad científico-matemática como ámbito excluyente de ciertos planos de la realidad, y en cómo ambos autores son conscientes de ello (aunque lo manifiesten desde distintos prismas y atendiendo a diferentes asuntos). De esta manera, se pretende mostrar que la comprensión orteguiana del concepto en tanto que instrumento de captación parcial de la realidad se vincula al modo en que Zambrano comprende la existencia, función y generación de los dioses, siendo tanto aquél (el concepto) como éstos (los dioses) formas de enmascarar la realidad para su humana interpretación. Asimismo, el trabajo pretende mostrar cómo, frente a la razón del racionalismo occidental, caben formas de conocimiento que trascienden el mero pensar conceptual, tales como el arte.
María Zambrano en 1939: el realismo español frente al racionalismo europeo
Authors: Ginestal Calvo Sonsoles
Published: October 2022

El presente trabajo pretende mostrar la convergencia y continuidad, tanto de temática como de sentido, de dos obras centrales de María Zambrano publicadas en el año 1939 desde el análisis de dos categorías, realismo y racionalismo, con las que se identifica a España y el resto de Europa respectivamente. Así mismo, se busca poner de manifiesto que si bien para la pensadora el racionalismo desemboca en la angustia del sujeto moderno y contemporáneo por llevar asociada la forma del sistema, encontrará en el realismo y estoicismo, más característicos de la tradición hispana, la posible salida a esta angustia en la que se halla Europa a la altura de 1939.
SUBJECTIVE PERCEPTION OF THE IMPACT OF PHYSICAL ACTIVITY ON THE MENTAL HEALTH OF OLDER WOMEN WITH SEVERE MENTAL DISTRESS
Authors: Vinkšel Lucija , Cecić Erpič Saša
Published: October 2022

Depressive symptoms among older adults are the second leading cause of disability and functional decline. Physical activity has gained considerable attention for its benefits in preventing and treating depressive symptoms. The majority of existing studies are quantitative in nature, but qualitative research into how people with depressive symptoms view physical activity in relation to their mental health is insufficient. We recruited 23 female participants from a recreational center in Ljubljana to participate in semi-structured interviews. Our aim was to identify how physical activity influences everyday life and its perceived effect on mental health among our participants. We used mixed methods, with an accent on qualitative methods. Conventional content analysis was used to explore the data from the interviews. We identified that increased satisfaction, well-being, and improved physical health are key factors through which participants find physical activity useful in stress and depression management. We can conclude that intentional physical activity in the form of walking, running, cycling, or group or individual workouts has a positive impact on physical and psychological wellbeing and has a positive impact on a person’s life. Our findings can be used in future studies to assess any successful non-pharmacological treatments for depression symptoms, such as different exercise programs, support groups, or different social activities.
THE EFFECT OF AEROBIC EXERCISES ON THE PHYSICAL AND PSYCHOLOGICAL CONDITIONS OF MOTHERS OF CHILDREN WITH CEREBRAL PALSY
Authors: Yeniay Sibel , Atar Özdemir , Özen Gökmen , Koç Hürmüz
Published: October 2022

The aim of study is to examine the physical and psychological effects of aerobic exercises applied to mothers of children with CP. The study was conducted with 27 mothers of children with CP and diagnosed with Spastic Quadriplegia. During exercises, muscular strength, muscular endurance, flexibility and cardiac exercises were applied. The" SF-36 Quality of Life Scale" was used to obtain health-related data. In order to measure muscle strength, manual muscle test and dynamometer measurements were used. Before and after the exercises, which were held three days a week for 8 weeks, measurements were made. T-test for dependent groups was performed in order to identify the difference between measurements. According to SF-36 Quality of Life Scale, significant differences were observed in terms of the variables of physical function, physical role difficulty, pain, vitality, social functionality, mental health, emotional role difficulty, and perception of general health (p0.05). When the pretest and posttest scores obtained from the manual muscle test were compared, significant differences were determined in right arm supination, left arm supination, right arm pronation, and left arm pronation (p< 0.05). It was determined that various exercises performed had positive effects in terms of eliminating functional deficiencies, alleviating pain, socialization, and beck health in individuals who experienced problems related to physical and psychological health.
THE EFFECT OF TENNIS EXERCISE PARTICIPATION ON STRESS LEVEL OF SECONDARY STUDENTS
Authors: Efek Engin , Eryigit Hakan
Published: October 2022

During the COVID-19 disease process, studies on mental health have mostly been done on adults. This study aimed to examine the effect of secondary school students' participation in regular and moderate intensity tennis exercises on stress levels during the pandemic period. The research was carried out with an experimental method and sequential design. The study sample, 46 volunteer students, was divided into two groups as experimental and control groups. ‘Personal Information Form’ and ‘Stress Scale’ were administered to the students in both groups as a pretest and 12 weeks later as a post-test. As a result of the normality tests (Skewness and Kurtosis), it was determined that the data met normal distribution assumption; thus, the Independent Sample T-Test and Paired Samples T-Test were applied. The significance level was accepted as p< 0.05. According to the study’s findings, there was a statistically significant difference in the experimental group’s stress levels between the pretest (39.30 ± 10) and post-test (32.00 ± 6). At the same time, there was no statistically significant difference between the control group’s pre-test (35.52 ± 9) and post-test (35.82 ±9). Consequently, this study reveals that participation in 12 weeks of regular tennis exercise significantly reduces the stress level of secondary school students. Research reveals the importance of participation in physical activities in reducing stress. In this context, participation in tennis exercise seems to be an important way to protect and improve the mental health of mentally disadvantaged adolescents, especially during the pandemic period.