scholarly journals Seismic monitoring of urban activity in Barcelona during COVID-19 lockdown

2020 ◽  
Author(s):  
Jordi Diaz ◽  
Mario Ruiz ◽  
José-Antonio Jara
Keyword(s):  
Human Activity ◽  
Seismic Noise ◽  
Urban Environments ◽  
Residential Areas ◽  
Construction Sites ◽  
Seismic Amplitude ◽  
Seismic Sensors ◽  
Level Of Activity ◽  
Seismic Vibrations ◽  
The City

Abstract. The city of Barcelona has been covered during the COVID-19 pandemic lockdown by a dense seismic network consisting of up to 19 seismic sensors. This network has provided an excellent tool to investigate in detail the background seismic noise variations associated to the lockdown measures. Permanent stations facilitate to compare the seismic noise recorded during the lockdown quieting with long-term variations due to holiday periods. On the other hand, the data acquired by the dense network show the differences between sites located near industrial areas, transportation hubs or residential areas. The results confirm that the quieting of human activity during lockdown has resulted in a reduction of seismic vibrations in the 2–20 Hz band clearly higher than during holiday seasons. This effect is observed throughout the city, but only those stations not affected by very proximal sources of vibration (construction sites, industries) are clearly correlated with the level of activity denoted by other indicators. Our contribution demonstrates that seismic amplitude variations can be used as a proxy for human activity in urban environments, providing details similar to those offered by other mobility indicators.

scholarly journals Seismic monitoring of urban activity in Barcelona during the COVID-19 lockdown

Solid Earth ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 725-739
Author(s):  
Jordi Diaz ◽  
Mario Ruiz ◽  
José-Antonio Jara
Keyword(s):  
Human Activity ◽  
Seismic Noise ◽  
Urban Environments ◽  
Residential Areas ◽  
Construction Sites ◽  
Seismic Amplitude ◽  
Seismic Sensors ◽  
Level Of Activity ◽  
Seismic Vibrations ◽  
The City

Abstract. During the COVID-19 pandemic lockdown, the city of Barcelona was covered by a dense seismic network consisting of up to 19 seismic sensors. This network has provided an excellent tool to investigate in detail the background seismic-noise variations associated with the lockdown measures. Permanent stations facilitate comparing the seismic noise recorded during the lockdown quieting with long-term variations due to holiday periods. On the other hand, the data acquired by the dense network show the differences between sites located near industrial areas, transportation hubs or residential areas. The results confirm that the quieting of human activity during lockdown has resulted in a reduction in seismic vibrations in the 2–20 Hz band that is clearly higher than during holiday seasons. This effect is observed throughout the city, but only those stations not affected by very proximal sources of vibration (construction sites, industries) are clearly correlated with the level of activity denoted by other indicators. Our contribution demonstrates that seismic amplitude variations can be used as a proxy for human activity in urban environments, providing details similar to those offered by other mobility indicators.

scholarly journals Monitoring Seismic Vibrations During a Pandemic

Eos ◽  
2021 ◽  
Vol 102 ◽  
Author(s):  
Stacy Kish
Keyword(s):  
Human Activity ◽  
Seismic Noise ◽  
Seismic Vibrations ◽  
The City

Researchers in Spain monitored variations in seismic noise across Barcelona as the city locked down during the pandemic, clarifying the seismic band associated with human activity.

scholarly journals Unsur Hijau pada Ruang Publik dan Sisa Halaman Rumah Kampung Cibunut RW 07 RT 05 Kota Bandung

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Irfan Sabarilah Hasim
Keyword(s):  
Visual Quality ◽  
Urban Environments ◽  
Primary Data ◽  
Plant Canopy ◽  
Residential Areas ◽  
Open Land ◽  
Qualitative Descriptive ◽  
Health Support ◽  
The City ◽  
Descriptive Method

AbstrakTanaman sangat penting untuk menunjang kehidupan sebagai penunjang kesehatan, pengendali iklim mikro, menyerap polusi bahkan berguna meningkatkan kualitas visual. Kehadiran tanaman di lingkungan perkotaan semakin sulit, mengingat lahan-lahan perkotaan semakin sempit terutama di lingkungan permukiman kota yang umumnya padat dan menyisakan sedikit ruang untuk tanaman. Berbeda dengan permukiman-permukiman padat pada umumnya, Kampung Cibunut RW 07 khususnya RT 05 Kota Bandung terlihat lebih asri, banyak sekali tanaman di lingkungan ini, meskipun lahan terbuka sedikit, gang juga tidak terlalu besar dan teras-teras rumah sangat terbatas. Melihat perkembangan yang sangat baik di Kampung Cibunut, maka penelitian ini layak untuk dilakukan dengan tujuan untuk mengidentifikasi jumlah dan jenis tanaman, serta cara dan metoda penanaman di ruang sempit dan mengetahui luas diameter tajuk tanaman. Digunakan metoda deskriptif kualitatif, data dikumpulkan melalui survey dan studi pustaka. Data primer diperoleh melalui observasi lapangan, pengukuran dan pencatatan langsung di lapangan. Setiap tanaman diberi nomor, dan dicatat kemudian seluruh data akan dimasukan ke dalam matrik untuk memudahkan perhitungan. Pembahasan dilakukan untuk mendapatkan ragam jenis tanaman, sistem dan cara penanaman, dan luas total tajuk tanaman. Diharapkan hasil dari penelitian ini dapat ditiru dan diterapkan di permukiman padat sejenis di kota Bandung agar dapat meningkatkan keasrian kawasan dan penyerapan polusi.Kata kunci : Tanaman, Unsur Hijau, Lahan sempit, permukiman padat. AbstraCTPlants are very important to support life as health support, control the microclimate, absorb pollution, and even improve visual quality. The presence of plants in urban environments is increasingly difficult, given that urban lands are increasingly narrow, especially in urban residential areas which are generally dense and leave little room for plants. Unlike the dense settlements in general, Kampung Cibunut RW 07, especially RT 05 Kota Bandung, looks more beautiful, there are lots of plants in this environment, although there is little open land, the alleys are not too big and the terraces of the houses are very limited. Seeing the excellent development in Cibunut Village, this research is feasible to do the aim of identifying the number and types of plants, as well as methods and methods of planting in narrow spaces and knowing the diameter of the plant canopy. Qualitative descriptive method is used, data is collected through surveys and literature studies. Primary data obtained through field observations, measurements, and direct notes in the field. Each plant is numbered, recorded and then all data will be entered into a matrix to facilitate calculation. Discussions were conducted to obtain various types of plants, planting systems and methods, and the total area of the plant canopy. It is hoped that the results of this research can be replicated and applied in similar dense settlements in the city of Bandung to increase the beauty of the area and the absorption of pollution. Keywords: Plants, Green Element, Narrow land, dense settlement.

scholarly journals Changes in the nocturnal activity of birds during the COVID–19 pandemic lockdown in a neotropical city

2021 ◽  
pp. 213-217
Author(s):  
F. A. Estela ◽  
C. E. Sánchez–Sarria ◽  
E. Arbeláez–Cortés ◽  
D. Ocampo ◽  
M. García–Arroyo ◽  
...  
Keyword(s):  
Species Richness ◽  
Human Activity ◽  
Urban Environments ◽  
Nocturnal Activity ◽  
The City ◽  
Species Biodiversity

The COVID–19 lockdown provided the opportunity to measure species biodiversity in urban environments under conditions divergent from regular urban rhythms. For 90 days, including weeks of strict lockdown and the subsequent relaxation of restrictions, we measured the presence and abundance of birds that were active at night at two sites in the city of Cali, Colombia. Our results show that species richness of nocturnal birds decreased 40 % to 58 % during the weeks with more human activity, adding further evidence to the biodiversity responses of the ‘anthropause’ on urban environments.

scholarly journals History of the Environment and Population of the Old Town of Klaipėda, Western Lithuania: Multidisciplinary Approach to the Last Millennium

Radiocarbon ◽  
2012 ◽  
Vol 54 (3-4) ◽  
pp. 1003-1015 ◽  
Author(s):  
Dalia Kisielienė ◽  
Ieva Masiulienė ◽  
Linas Daugnora ◽  
Miglė Stančikaitė ◽  
Jonas Mažeika ◽  
...  
Keyword(s):  
Environmental History ◽  
Human Activity ◽  
Historical Data ◽  
16Th Century ◽  
Last Millennium ◽  
Residential Areas ◽  
History Of ◽  
The Baltic ◽  
Political Economic ◽  
The City

Progressive stages in the development of the Old Town region of the city of Klaipėda (in German, Memel) were ascertained by analyzing archaeological and historical data combined with an analysis of pollen, diatom, plant macrofossil, and osteological findings as cross-referenced with radiocarbon measurements. The port city of Klaipėda, located on the eastern part of the Baltic Sea, was an important political, economic, and religious center during the last millennium. In addition to its environmental history, the character of human activity and urbanization of the area during the 16th–17th centuries AD were examined. The chronology of these records is based on archaeological, historical, and 14C data. The results obtained indicate the predominance of a wet boggy environment and the presence of a pond in the investigated territory of Klaipėda during the late 15th and early 16th centuries AD. The formation of a new Danė River channel created an island town, resulting in a defensible residual area for the town inhabitants. An ongoing deposition of a cultural layer began in the mid-16th century AD. Rich zooarchaeological data found in this layer provided new details on human diet and exposed a predominance of domestic animals, especially cattle. Due to intensive amelioration of this area, layers of sandy and clayey deposits were formed during the second half of the 16th century AD. A significant presence of cultivars, ruderals, and weeds were recorded, indicating substantial human activity and increasing urbanization of the landscape. According to the paleobotanical, archaeological, and historical data, the culmination of this process took place at the end of the 16th and beginning of the 17th centuries AD, when residential areas were established.

Perencanaan Sistem Pengurangan Sampah Permukiman Bantaran Sungai Cidurian Kota Bandung

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Raka Maulana ◽  
Yulianti Pratama ◽  
Lina Apriyanti
Keyword(s):  
Waste Management ◽  
River Basin ◽  
River Flow ◽  
Waste Reduction ◽  
Residential Areas ◽  
Community Based ◽  
Inorganic Waste ◽  
Waste Bank ◽  
The City

<p>Some areas in the city of Bandung is an area that dilitasi by the flow of the river, to prevent the introduction of garbage into the river basin is necessary to note the waste management systems in residential areas along the river. Cidurian river has a length of 24.86 Km along the river flow. Consists of the city of Bandung and Bandung regency. Administrative regions Cidurian River past eight (8) districts, from the region in the District Kiaracondong precisely Village Babakan Babakan Sari and Surabaya populous and the most densely populated. Thus, there should be community-based waste management in the form of a reduction in resources to prevent potential entry of waste into the river basin. Planning waste reduction will be divided into two, namely the reduction of inorganic waste with waste bank then the reduction of organic waste with absorption holes biopori, and bio reactor mini determination of the reduction is determined by the results of the analysis of the sampling covers the composition and garbage, then the result of the measurement characteristics test and analysis results questionnaire.</p>

Minimetrò in Perugia as leverage for urban regeneration

TERRITORIO ◽  
2020 ◽  
pp. 148-163
Author(s):  
Luca Fondacci
Keyword(s):  
Urban Regeneration ◽  
Urban Environments ◽  
Low Carbon ◽  
Sustainable Mobility ◽  
Field Surveys ◽  
Peripheral Area ◽  
Alternative Means ◽  
Considerable Impact ◽  
The City ◽  
Historical Centre

In the 1970s, the fragile historical centre of the city of Perugia was a key area where the binomial of sustainable mobility and urban regeneration was developed and applied. At the turn of the xxi century, the low carbon automatic people-mover Minimetrò broadened that application from the city's historical centre to the outskirts, promoting the enhancement of several urban environments. This paper is the outcome of an investigation of original sources, field surveys and direct interviews, which addresses the Minimetrò as the backbone of a wide regeneration process which has had a considerable impact on the economic development of a peripheral area of the city which was previously devoid of any clear urban sense. The conclusion proposes some solutions to improve the nature of the Minimetrò as an experimental alternative means of transport.

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

scholarly journals Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Kang Liu ◽  
Ling Yin ◽  
Meng Zhang ◽  
Min Kang ◽  
Ai-Ping Deng ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Feature Vector ◽  
Urban Environments ◽  
Environmental Feature ◽  
Fine Grained ◽  
Environmental Features ◽  
Street View ◽  
The City ◽  
Dengue Epidemic

Abstract Background Dengue fever (DF) is a mosquito-borne infectious disease that has threatened tropical and subtropical regions in recent decades. An early and targeted warning of a dengue epidemic is important for vector control. Current studies have primarily determined weather conditions to be the main factor for dengue forecasting, thereby neglecting that environmental suitability for mosquito breeding is also an important factor, especially in fine-grained intra-urban settings. Considering that street-view images are promising for depicting physical environments, this study proposes a framework for facilitating fine-grained intra-urban dengue forecasting by integrating the urban environments measured from street-view images. Methods The dengue epidemic that occurred in 167 townships of Guangzhou City, China, between 2015 and 2019 was taken as a study case. First, feature vectors of street-view images acquired inside each township were extracted by a pre-trained convolutional neural network, and then aggregated as an environmental feature vector of the township. Thus, townships with similar physical settings would exhibit similar environmental features. Second, the environmental feature vector is combined with commonly used features (e.g., temperature, rainfall, and past case count) as inputs to machine-learning models for weekly dengue forecasting. Results The performance of machine-learning forecasting models (i.e., MLP and SVM) integrated with and without environmental features were compared. This indicates that models integrating environmental features can identify high-risk urban units across the city more precisely than those using common features alone. In addition, the top 30% of high-risk townships predicted by our proposed methods can capture approximately 50–60% of dengue cases across the city. Conclusions Incorporating local environments measured from street view images is effective in facilitating fine-grained intra-urban dengue forecasting, which is beneficial for conducting spatially precise dengue prevention and control.

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