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Trust in local media and information they share during the Covid-19 pandemic: Belgrade example 信任当地媒体及其在2019冠状病毒病大流行期间分享的信息:贝尔格莱德的例子
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.048.i
S. Vujović, Ž. Bjeljac, Nenad Vujić, Jovan Spaić
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引用次数: 0
Transformations of the Ukrainian-Polish border regions: experience of Ukraine 乌克兰-波兰边境地区的转变:乌克兰的经验
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.071.i
R. Kotsan, Natalia Kotsan, Galina Kopachinska, Yevheniia Vozniuk
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引用次数: 0
An ecological study of vulnerability to COVID-19 in Serbia - using Hotspot Analysis for Evidence-Based Population Health Policy 塞尔维亚COVID-19脆弱性的生态学研究——基于循证人口卫生政策的热点分析
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.103.i
S. Obradović, S. Matović, H. Rabiei-Dastjerdi, S. Matthews
The risk of severe illness or death from COVID-19 is associated with specific demographic characteristics or composition of the population within geographic areas, and the spatial relationship between these areas. The aim of this paper is to identify areas with a higher concentration of population vulnerable to COVID-19, relying on the concept of spatial dependence. Hence, we focus on the share of vulnerable populations using several salient proxy measures at municipality level data for Serbia. The degree of vulnerability at the municipality level was determined by hotspot analysis, specifically the Getis-Ord Gi* statistics. The results indicate heterogeneity in the spatial patterning and typologies of clusters across Serbia. This spatial heterogeneity reveals potentially differing degrees of risk across municipalities. The results can inform decision-makers in the fight against COVID-19 by helping to identify those areas with vulnerable populations that if exposed may stress the local health care system. © 2022 University of Craiova, Faculty of Social Sciences, Department of Geography. All rights reserved.
罹患COVID-19严重疾病或死亡的风险与地理区域内的特定人口特征或人口构成以及这些区域之间的空间关系有关。本文的目的是利用空间依赖的概念,识别出易感染COVID-19的人口集中度较高的地区。因此,我们将重点放在弱势群体的份额上,使用塞尔维亚市政一级数据的几个显著代理措施。通过热点分析,即Getis-Ord Gi*统计,确定了市级的脆弱性程度。结果表明,塞尔维亚集群的空间格局和类型存在异质性。这种空间异质性揭示了不同城市之间潜在的不同风险程度。研究结果可以为决策者提供抗击COVID-19的信息,方法是帮助确定那些弱势群体存在的地区,如果这些地区暴露在外,可能会给当地卫生保健系统带来压力。©2022克拉约瓦大学社会科学学院地理系。版权所有。
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引用次数: 0
Associated impact of the COVID-19 induced lockdown on air quality of Kolkata Metropolitan Area (India) 新冠肺炎封锁对加尔各答大都市区空气质量的相关影响(印度)
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.003.i
D. Soren, Jagabandhu Roy, B. Biswas, R. Jadhav, Ashutosh Singh, Deepak Prasad
As a pandemic, COVID 19 spread worldwide in early 2020. Primarily densely populated countries had remained vulnerable due to this biological hazard. Many people were forced to stay home owing to nature of the disease and no respite. A nationwide lockdown was implemented in India for 29 days (March 24 th to April 21 st ) of 2020 during the wake of the COVID-19 pandemic. During the nationwide lockdown, industries, transport, and other commercial activities were suspended, except for necessary services. During the entire pandemic situation, an affirmative impact was observed as the air quality was reported to have improved worldwide. The complete economic lockdown to check COVID-19, brought unforeseen relief from severe condition of air quality. An apparent, reduction in level of PM2.5 and Air Quality Index (AQI) was experienced over Mumbai, Delhi, Kolkata, Hyderabad, and Chennai. Present work explores the various metrics of air pollution in Kolkata, West Bengal, India (imposed as a result of containment measure for COVID-19). The polluting parameters (e.g., PM 10 , PM 2.5 , SO 2 , NO 2 , CO, O 3 , and NH 3 ) were chosen for seven monitoring stations (Ballygunge, Fort William, Victoria, Bidhannagar, Jadavpur, Rabindra Bharati, Rabindra Sarabar), which are spread across the metropolitan area of Kolkata. National Air Quality Index (NAQI) has been used to show pre-and during-lockdown air quality spatial patterns. The findings showed major changes in air quality throughout the lockdown period. The highest reduction in pollutants emission was observed for: PM 10 (- 60.82%), PM 2.5 (-45.05%) and NO 2 (-62.27%), followed by NH 3 (- 32.12%) and SO 2 (-32.00%), CO (-47.46%), O 3 (15.10%). During the lockdown, the NAQI value was reduced by 52.93% in the study area.
作为一场大流行,2019冠状病毒病于2020年初在全球蔓延。主要是人口稠密的国家仍然容易受到这种生物危害的影响。由于疾病的性质,许多人被迫呆在家里,没有喘息的机会。2019冠状病毒病大流行后,印度在2020年3月24日至4月21日实施了为期29天的全国封锁。在全国封锁期间,除必要的服务外,工业、运输和其他商业活动暂停。在整个大流行病期间,由于据报告全世界的空气质量有所改善,观察到积极的影响。为遏制新冠肺炎疫情而实施的全面经济封锁,给严重的空气质量状况带来了意想不到的缓解。在孟买、德里、加尔各答、海德拉巴和金奈,PM2.5水平和空气质量指数(AQI)明显下降。目前的工作探讨了印度西孟加拉邦加尔各答的各种空气污染指标(作为COVID-19遏制措施的结果)。污染参数(如PM 10、PM 2.5、so2、no2、CO、o3和nh3)被选择用于分布在加尔各答大都市地区的7个监测站(Ballygunge、Fort William、Victoria、Bidhannagar、Jadavpur、Rabindra Bharati、Rabindra Sarabar)。国家空气质量指数(NAQI)被用来显示封锁前和封锁期间的空气质量空间格局。调查结果显示,在封锁期间,空气质量发生了重大变化。污染物排放量减少幅度最大的是PM 10(- 60.82%)、PM 2.5(-45.05%)和NO 2(-62.27%),其次是nh3(- 32.12%)、so2(-32.00%)、CO(-47.46%)和O 3(- 15.10%)。在封锁期间,研究区NAQI值下降了52.93%。
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引用次数: 0
Usage of zeolite raw materials as natural barrier for conservation of nuclear waste 沸石原料作为核废料保护的天然屏障
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.063.i
Katsarov Miloslav, Tonev Dimitar, Goutev Nikolay, Protohristov Hristo, Georgiev Lachezar
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引用次数: 0
Multidimensional approach for measuring female-based urban poverty in recently urbanizing societies: Sehore City of Madhya Pradesh, India as case study 衡量近期城市化社会中以女性为基础的城市贫困的多维方法:印度中央邦sehoore市为案例研究
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.088.i
Farheen Siddiqui, S. Parveen
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引用次数: 0
Geodiversity Assessment by Application of Geoinformation Approach (on the Example of Golo Bardo Mountain, Western Bulgaria) 地理信息方法在地质多样性评价中的应用(以保加利亚西部Golo Bardo山为例)
Q4 Social Sciences Pub Date : 2022-06-30 DOI: 10.5775/fg.2022.137.i
V. Nikolova, Elitsa Zareva
Geodiversity is considered as a complex indicator of the abiotic environment. On the example of information about Golo Bardo Mountain (Western Bulgaria), the article emphasizes the need to develop methods for quantitative assessment of the geodiversity of an area to minimize the subjective nature of the assessment by defining clear criteria that can be quantified. The complex geodiversity assessment of the investigated area was made based on the analysis of lithology, soils, topographic features and drainage network. The analysis is done in a GIS environment. Topographic settings are analysed on the base of digital elevation model with a cell size of 30 m using Spatial Analyst Tools. The elevation model is used for calculating the terrain roughness, slope gradients and aspects of the slopes. Geological component is evaluated considering the petrographic composition of the area. The variety of the abiotic components is calculated by application of grid method (cell size 1000 x 1000 m), using Focal statistics tool, neighborhood type “Variety”. Fuzzy logic is suggested to be used for comparison of areas located in different regions and with different landscape conditions. The results of the geodiversity assessment show that most of the area of the Golo Bardo mountain has moderate geodiversity index. The method used in the article gives reliable results with minimal subjectivity, that can be used for assessment of the distribution of the geodiversity on a particular area and allow to compare different territorial units. The results obtained in the current study show good correlation between areas with high and moderate geodiversity index, and areas with high biodiversity values. The applied methodology and the visualization of the geodiversity index allow for easy understanding of geodiversity by a wide range of stakeholders, even non-geoscientists, and can be successfully applied in the planning of geotourism activities.
地质多样性被认为是非生物环境的一个复杂指标。以关于Golo Bardo山(保加利亚西部)的资料为例,文章强调需要制定定量评价一个地区地质多样性的方法,通过确定可以量化的明确标准,尽量减少评价的主观性质。在岩性、土壤、地形特征和水系网络分析的基础上,对调查区进行了复杂地质多样性评价。分析是在GIS环境中完成的。利用空间分析工具(Spatial Analyst Tools),以30 m单元格的数字高程模型为基础,分析地形设置。高程模型用于计算地形粗糙度、坡度和坡面。结合该地区的岩石组成对地质成分进行了评价。使用Focal统计工具,邻域类型为“variety”,采用网格法(细胞大小为1000 × 1000 m)计算非生物组分的种类。建议采用模糊逻辑对不同区域、不同景观条件的区域进行比较。地质多样性评价结果表明,戈洛巴尔都山大部分地区的地质多样性指数为中等。本文所采用的方法以最小的主观性给出了可靠的结果,可用于评估特定地区的地质多样性分布,并允许比较不同的领土单位。研究结果表明,高、中等地理多样性指数区与高生物多样性值区具有良好的相关性。地质多样性指数的应用方法和可视化使得广泛的利益相关者,甚至是非地球科学家,都能很容易地理解地质多样性,并且可以成功地应用于地质旅游活动的规划中。
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引用次数: 2
Spatial interlinkages of poverty determinants and social space of poverty in Hooghly District of West Bengal: a geographical perspective 西孟加拉邦胡格利地区贫困决定因素和贫困社会空间的空间相互联系:一个地理视角
Q4 Social Sciences Pub Date : 2021-12-30 DOI: 10.5775/fg.2021.063.d
Mondal Soumyabrata, Mishra Anand Prasad
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引用次数: 0
Treehouse tourism: issues and way forward 树屋旅游:问题与未来之路
Q4 Social Sciences Pub Date : 2021-12-30 DOI: 10.5775/fg.2021.005.d
A. Giampiccoli, A. Dłużewska, Rosa Perán Quesada
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引用次数: 0
Local labour markets and mobility in Spain 2001-2011 2001-2011年西班牙当地劳动力市场和流动性
Q4 Social Sciences Pub Date : 2021-12-30 DOI: 10.5775/fg.2021.066.d
O. G. León, M. P. Becerril
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引用次数: 0
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