Indonesia has several expanding metropolitan regions, such as the Joglosemar Urban Region. The Joglosemar Urban Region includes three major urban growth centres - the Semarang Metropolitan Region (SMR), the Surakarta ...
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Indonesia has several expanding metropolitan regions, such as the Joglosemar Urban Region. The Joglosemar Urban Region includes three major urban growth centres - the Semarang Metropolitan Region (SMR), the Surakarta Urban Region (SUR), and the Yogyakarta Urban Region (YUR) with three urban growth corridors connecting them. Urban growth corridors cover areas crossed by the main road network linking urban growth centres. Rapid and uncontrolled urban development can endanger environmental sustainability along the corridors. This study compares the three urban growth corridors within the Joglosemar Urban Region - the SMR-SUR, the SUR-YUR, and the SMR-YUR. It examines the spatiotemporal variations of urban compactness and urban vegetation degradation. This study uses Landsat Satellite Imagery from 2001, 2008, 2015, and 2022. The index-based calculation was employed to obtain the built-up area change, urban compactness, and vegetation degradation. The most dispersed urban areas observed had the greatest vegetation degradation. Among the three urban growth corridors, the SMR-SUR corridor recorded the highest vegetation degradation of -0.21, with an increase in compactness index of 0.02. Vegetation greenness is significantly reduced along urban expansion corridors with high spatial dispersion. Our assessment offers new insight to inform the government in enacting policy changes to control urban growth and its sustainability.
作者:
Park, YunmiGim, Tae-Hyoung TommySeoul Natl Univ
Inst Construct & Environm Engieering Dept Civil & Environm Engn Seoul South Korea Seoul Natl Univ
Interdisciplinary Program Landscape Architecture Grad Sch Environm Studies Integrated Major Reg Studies & Spatial Analyt Seoul South Korea Seoul Natl Univ
Environm Planning Inst Seoul South Korea Seoul Natl Univ
Grad Sch Environm Studies 222 Bldg 82Gwanak Ro 1 Seoul 08826 South Korea
This study explored the determinants of happiness during the COVID-19 pandemic by emphasizing a broad range of factors, including individual (i.e. socio-demographic status, life situations, attitudinal and perceptual ...
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This study explored the determinants of happiness during the COVID-19 pandemic by emphasizing a broad range of factors, including individual (i.e. socio-demographic status, life situations, attitudinal and perceptual characteristics) and policy restrictions. In particular, the study delved into the impact of changes in life situations and mobility, as well as perceptions and attitudes toward the altered lifestyle during COVID-19, on happiness. By analyzing data with 75 items from a U.S. nationwide survey in 2020, this study found that socio-demographic factors played a significant role in increasing happiness specifically when income increased and individuals transitioned from unemployment to employment or sustained employment during the pandemic. Happiness was also significantly reduced by COVID-19 altered attitudinal and perceptual changes such as restricted social interactions and activities, perception of infection risk, avoidance of online alternatives, perceived infection risk from close relationships, and a preference for compactness. Individuals who were users of public transportation before COVID-19 reported lower levels of happiness during the pandemic. This comprehensive exploration underscores the multifaceted nature of happiness during the COVID-19 pandemic, highlighting the intertwined roles of socio-demographic factors, changes in life circumstances, and attitudes and perceptions to new life style.
Exposure to ambient air pollution is a major threat to human health in most Indian cities. Recent studies have reported that more than three-quarters of the people in India are exposed to pollution levels higher than ...
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Exposure to ambient air pollution is a major threat to human health in most Indian cities. Recent studies have reported that more than three-quarters of the people in India are exposed to pollution levels higher than the limits recommended by the National Ambient Air Quality Standards in India and significantly higher than those recommended by theWorld Health Organization. Despite the poor air quality, the monitoring of air pollution levels is limited even in large urban areas in India and virtually absent in small towns and rural areas. The lack of data results in a minimal understanding of spatial patterns of air pollutants at local and regional levels. This paper presents particulate air pollution trends monitored over one year in three small cities in India. The findings are important for framing state and regional level policies for addressing air pollution problems in cities, and achieve the sustainable development goals (SDGs) linked to public health, reduction in the adverse environmental impact of cities, and adaptation to climate change, as indicated by SDGs 3.9, 11.6 and 11.b. (C) 2021 International Association of Traffic and Safety Sciences. Production and hosting by Elsevier Ltd.
The phenomenon of elevated air temperatures in urban regions, known as urban heat islands (UHI), is closely linked to the thermal properties of building façades in those areas. Heavyweight materials, such as conc...
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作者:
Kim, JaekyoungKang, JunsukSeoul Natl Univ
Interdisciplinary Program Landscape Architecture Seoul 08826 South Korea Seoul Natl Univ
Transdisciplinary Program Smart City Global Conver Seoul 08826 South Korea Seoul Natl Univ
Dept Landscape Architecture & Rural Syst Engn Seoul 08826 South Korea Seoul Natl Univ
Res Inst Agr & Life Sci Seoul 08826 South Korea
This study developed a gradient-boosted regression tree-based artificial intelligence (AI) model--temperature reduction effect AI model (TREAM)--to determine the temperature reduction effect of fog cooling that varies...
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This study developed a gradient-boosted regression tree-based artificial intelligence (AI) model--temperature reduction effect AI model (TREAM)--to determine the temperature reduction effect of fog cooling that varies with weather conditions. According to the trend of global warming, our society is suffering from serious damage from urban heat islands, especially negatively affecting human health and thermal comfort. Therefore, it is very important to develop and evaluate adaptive technology for providing pleasant thermal comfort to humans. This study select fog cooling as adaptive technology for human thermal comfort, and indoor and outdoor simulation were performed using STAR CCM+, a computational fluid dynamics(CFD) program. Moreover, transient analysis to validate the outdoor model of CFD and parametric study to identify the correlation between the environmental factors and fog cooling were performed. When initial temperature set as 45 degrees C at a relative humidity of 90% and wind speed of 1 m/s, a temperature reduction of 8.92% can be obtained. Regardless of the temperature and humidity conditions, the temperature reduction effect of fog cooling was similar to 1% if the wind speed increased above 5 m/s. This study contributed to the quantitative analysis of the temperature reduction effect according to the change of environmental factors.
The scattering of surface gravity waves by a skirt wall breakwater is analysed in two dimensions under the assumption of small-amplitude wave theory. The oscillatory wave past the porous skirt walls is assumed to foll...
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The scattering of surface gravity waves by a skirt wall breakwater is analysed in two dimensions under the assumption of small-amplitude wave theory. The oscillatory wave past the porous skirt walls is assumed to follow Darcy's law. The boundary value problem is solved using multi-domain boundary element method to obtain the numerical results for the different number of porous skirt walls, relative pontoon width, relative submergence and different porosity of the skirt walls. The study reveals that an increase in the number of skirt walls from one to four can reduce the wave transmission by 61% but at the expense of an increase in horizontal wave force by 90% and decrease in the vertical force by 31%. A minimum of two-skirt walls is needed for reducing wave transmission. Skirt wall porosity of 0.40 is recommended for field applications considering the trade-off between the wave transmission and wave forces.
作者:
Kim, JaekyoungKang, JunsukSeoul Natl Univ
Interdisciplinary Program Landscape Architecture Seoul 08826 South Korea Seoul Natl Univ
Transdisciplinary Program Smart City Global Conver Seoul 08826 South Korea Seoul Natl Univ
Dept Landscape Architecture & Rural Syst Engn Seoul 08826 South Korea Seoul Natl Univ
Res Inst Agr & Life Sci Seoul 08826 South Korea
This study developed a quantitative flooding adaptation model, the Hazard Capacity Factor Design (HCFD) model, to evaluate flooding risk and the effects of green-gray infrastructure interactions under severe flooding ...
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This study developed a quantitative flooding adaptation model, the Hazard Capacity Factor Design (HCFD) model, to evaluate flooding risk and the effects of green-gray infrastructure interactions under severe flooding events. Modern society suffers great damage from natural disasters;however, no disaster adaptation model exists that can be easily used by decision makers. Therefore, we developed a model for comprehensive diagnosis of disasters in Suwon City using three key methods. First, a flood adaptation model was developed considering the pipeline network and an optimized arrangement of infrastructure was designed. Second, the framework of the HCFD model and the concept of the safety factor were developed. Finally, interactions between gray and green infrastructure were analyzed. Model evaluation demonstrated that gray and green infrastructure could reduce flooding by 20.04% and 6.55%, respectively, under 400 mm rainfall. The interaction between the gray infrastructure and the green infrastructure had an additional flood reduction effect of about 7%. The primary findings of this study were to develop the HCFD model as well as evaluate the interaction effects between gray and green infrastructure. The HCFD model could also be used in any disaster adaptation using different parameters and disasters.
mRNA vaccines have emerged as promising alternative platforms to conventional *** ease of production,low cost,safety profile and high potency render them ideal candidates for prevention and treatment of infectious dis...
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mRNA vaccines have emerged as promising alternative platforms to conventional *** ease of production,low cost,safety profile and high potency render them ideal candidates for prevention and treatment of infectious diseases,especially in the midst of *** challenges that face in vitro transcribed RNA were partially amended by addition of tethered adjuvants or co-delivery of naked mRNA with an adjuvanttethered ***,it wasn’t until recently that the progress made in nanotechnology helped enhance mRNA stability and delivery by entrapment in novel delivery systems of which,lipid *** continuous advancement in the fields of nanotechnology and tissue engineering provided novel carriers for mRNA vaccines such as polymeric nanoparticles and *** studies have shown the advantages of adopting mRNA vaccines for viral diseases and cancer in animal and human ***-amplifying mRNA is considered today the next generation of mRNA vaccines and current studies reveal promising *** review provides a comprehensive overview of mRNA vaccines used in past and present studies,and discusses future directions and challenges in advancing this vaccine platform to widespread clinical use.
In plant factories, multi-layered shelves are used to maximize production per unit area by densely growing plants. The large number of plants placed in a spacious area leads to complex interactions between the plants ...
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In plant factories, multi-layered shelves are used to maximize production per unit area by densely growing plants. The large number of plants placed in a spacious area leads to complex interactions between the plants and the growing environment, resulting in a potentially non-uniform growing environment. When the environment is non-uniform, achieving consistent production based on location becomes challenging. This study aims to analyze these interactions through multi-node, multi-factor monitoring in an actual plant factory that engages in hydroponics. To achieve this, we developed a monitoring system tailored for measuring the growth environment in plant factories. Specifically, we created a monitoring device capable of real-time measurement of six key indoor environmental factors, a network system that facilitates multi-node data collection by utilizing both Zigbee and WiFi, and a dashboard for simplified management. The developed monitoring system was implemented in an 'A' plant factory and collected 44,640 data points over a month. It empirically demonstrated that indoor environmental factors vary by location within the growing space, depending on the surrounding environment and the placement and operation of environmental facilities. The temperature of the nutrient solution showed a statistically strong correlation with other indoor environmental factors. This indicates that the operation of environmental facilities in a plant factory should be comprehensively managed in real-time, with a focus on the relationship of the nutrient solution temperature to other indoor environmental factors. Such management is especially crucial when considering the dynamic interrelationships among nutrient solution temperature, other indoor conditions, and the varying demands imposed by plant growth activity. These results offer valuable guidelines for optimizing the growing environment in plant factories and will serve as an important reference for plant factory operators.
Urban shrinkage is becoming a worldwide issue. However, empirical investigation still lacks an understanding of the spatial extent of the factors that drive local population decline, a prevalent aspect of urban shrink...
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Urban shrinkage is becoming a worldwide issue. However, empirical investigation still lacks an understanding of the spatial extent of the factors that drive local population decline, a prevalent aspect of urban shrinkage. Empirical evidence on multilevel factors relating to population decline is particularly scarce. We investigated the influences by analyzing economic, social, physical, and policy conditions at the local and regional levels. Regional conditions, as well as local conditions, are also related to the decline of the local population. The effect goes beyond economic and demographic conditions;conditions such as the local infrastructure level and development policy also significantly influence.
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