Environmental Awareness Of People Research Articles

Investigation into the Reduction of Palm Oil in Foods by Blended Vegetable Oils through Response Surface Methodology and Oxidative Stability Tests.

Recently, there has been a significant transition in the dietary preferences of consumers toward foods containing health-promoting compounds. In addition, as people's environmental awareness increases, they are increasingly looking for sustainable solutions. Palm oil, an oil used extensively by the food industry, does not fit these criteria. This study investigated the development of a complex oil blend consisting of commonly used vegetable oils such as corn, rapeseed, sunflower, and palm oil. The aim was to find the optimal blended oil and compare this combination with palm oil in terms of its oxidative stability, antioxidant capacity, and the composition of bioactive compounds (i.e., fatty acids, tocopherols, and carotenoids). Palm oil was found to have greater oxidative stability as a result of its increased concentration of saturated fatty acids. The optimal blended oil, which consisted of corn and rapeseed oil at a ratio of 4:3 w/w, inhibited the superior antioxidant activity, showing a ~33% increase in DPPH• inhibition activity. ATR-FTIR spectra further verified the existence of a significant quantity of saturated fatty acids in palm oil and unsaturated fatty acids in the blended oil. Finally, several correlation analyses revealed interesting connections between oil samples and investigated parameters. This work has the potential to establish a basis for the mass production of oil blends that possess high concentrations of antioxidant compounds and reduce the use of palm oil.

Pengaruh Kesadaran Lingkungan Mahasiswa Tata Rias UNJ terhadap Minat Beli Produk Green Cosmetic

Environmental damage and pollution have negative effects on living creatures in it. Therefore, various efforts are made to increase people's environmental awareness. A characteristic that someone has environmental awareness is their efforts to consume environmentally friendly products. One of the products that is widely consumed today is cosmetic products. With the shift in people's consumption patterns towards environmentally friendly products, cosmetics industries are starting to use green cosmetic principles in their products. This product is in demand by the younger generation because it is good for their health and the environment. The aim of this research is to determine the influence of UNJ Cosmetology students' environmental awareness on their interest in purchasing green cosmetic products. The research method used is associative quantitative. The results obtained from this research are that UNJ Cosmetology students' environmental awareness influences their interest in buying green cosmetic products.

Distribution path optimization of carbon emission-reducing agricultural products in the cold chain from a green economy perspective

As people's environmental awareness improves, the development of green economy has become an important goal for countries to achieve sustainable development. The extensive generation of greenhouse gases during the cold chain logistics and distribution process poses a significant challenge to the advancement of the green economy. By utilizing an enhanced genetic algorithm (GA), this research examines the expenses associated with distributing fresh agricultural products via the cold chain and constructs a model for optimizing the path of distribution. Simulation experiments show that the total cost of this model constructed in the study is 2323.94 RMB, which is less than 2623.35 RMB of the traditional path planning model, and the carbon emission is 85 kg less. It proves that the path optimization model constructed by the research has high economic and environmental benefits, and the designed and planned path is more in line with the needs of green economy than the traditional path, which has the potential to minimize carbon emissions during the fresh agricultural product cold chain distribution process while simultaneously promoting sustainable development.

Preparation of magnesium hydroxide by modifier-directed hydration and its effect on flame retardancy and mechanical properties of polypropylene

With the rapid development of the polymer materials industry and the improvement of people's environmental awareness, magnesium hydroxide has been widely used in polymer materials due to its high decomposition temperature, non-toxic smoke suppression, and the advantages of neutralizing harmful gases produced by polymer combustion. However, the conventional preparation methods of magnesium hydroxide exhibit several issues, including high hydrophilicity, elevated polarity, and limited compatibility with polymers. This research proposes an improved method by adding sodium stearate and KH560 modifier, controlling the rate of magnesium oxide and preparing magnesium hydroxide flame retardants using a modifier-directed hydration method. Various characterizations confirmed its morphology, particle size and structure. The magnesium hydroxide exhibits low polarity, small particle size, stable structure and excellent hydrophobicity (with a contact angle of 120.32°, and a free energy of 1.34mN/m). In parallel, the magnesium hydroxide/polypropylene composites demonstrate excellent flame retardancy (LOI of 25%, V-1 grade) and simultaneously enhance the dispersion of magnesium hydroxide within the polypropylene matrix, improving the material's toughness and strength.

Agricultural wetland utilization based on land cover restoration and water–ecosystem nexus

Abstract Wetlands, as a special ecological environment, are not only important biodiversity conservation areas but also one of the important agricultural resources. Agriculture plays an irreplaceable role in human society. It is directly related to human survival and development, and is also a part of people's environmental awareness and cultural inheritance. Based on the principles of sustainable development and strengthening environmental protection, people should pay more attention to the development and improvement of agriculture. However, with the advancement of urbanization, the area of wetlands continues to decrease, causing damage to ecosystems and posing a threat to some agricultural production. This article combined the transfer matrix of agricultural wetland utilization, landscape change rate, and landscape pattern index, used RS (Remote Sensing) and GIS (Geographic Information System) technologies to analyze the dynamic changes in agricultural wetland utilization and landscape of Honghu Lake in the Four Lakes region, and explored its changing factors. The results indicated that the construction land area showed an increasing trend in 2016, 2019, and 2022, while the wetland area of rice fields showed a first decreasing and then increasing trend.

Factors Influencing the Environmental Awareness of Visitors to the Natural Protected Areas on the Island of Tenerife

The research analysed the behaviour of visitors to protected natural sites on the island of Tenerife and described the main characteristics of visitors to these areas. Visitors completed anonymous research questionnaires based on a model that combines the Theory of Planned Behaviour with other elements of behavioural analysis, and using this research tool, the factors influencing visitors' resulting pro-environmental behaviour were analysed. Visitors were also asked how they perceived the situation regarding litter management in the natural sites and how they were influenced by the education provided by the management of the natural park. The research results confirm the importance of the influence of environmental education on people's environmental awareness. It was found that awareness of the consequences of behaviour significantly influences personal norms and attitudes, and these in turn have the greatest impact on the resulting pro-environmental behaviour of visitors. A protected natural area can have an educational role, but it is also important to enable visitors to behave in an environmentally conscious manner, for which the provision of appropriate conditions (sufficient bins, the ability to sort waste, etc.) is needed. The research results also indicated that pro-environmental behaviour is influenced by perceived behavioural control, i.e. how difficult it is for visitors to behave in a certain way in a given environment.

Study of Government Subsidies and Manufacturers' Decision to Join the Blockchain

Based on the increase of people's environmental awareness and the application of blockchain technology in various fields, this paper combines blockchain and green supply chain, establishes a secondary supply chain led by manufacturers and followed by retailers, explores the pricing strategy and blockchain platform adoption conditions of the traditional green supply chain compared with the green supply chain that joins the blockchain platform, and considers the pricing strategy of government-subsidized manufacturers and blockchain platform adoption The paper also considers the pricing strategies and blockchain platform adoption conditions of government-subsidised manufacturers. Firstly, the paper finds that green supply chain companies do not join blockchain platforms in all cases. Manufacturers and retailers are motivated to join blockchain platforms when the cost of operating the platform is low and consumer trust in the value of the product is low. This is because the benefits of increased demand due to increased consumer trust in green products more than compensate for the cost of operating a blockchain platform. However, when companies join the blockchain platform, the retail price of green products will rise and consumers will not benefit from the blockchain platform. When the government subsidises manufacturers, manufacturers, retailers and consumers all benefit from the blockchain platform when green supply chain companies join the blockchain platform. Furthermore, demand for green products does not always increase when there are government subsidies.

Disasters as opportunities for enhancing sustainability values: Disaster experience and environmental awareness in rural China

AbstractThis study evaluates whether people in general alter their perception of environmental pollution after disasters and the extent to which individual and contextual characteristics moderate this relationship. Results of multilevel regression analyses of data from rural China indicate that the experience of disasters heightens awareness of environmental pollution in local communities, net of various individual‐level and community‐level factors. Additionally, well‐maintained social relationships between villagers attenuate the impact of disasters and make people less aware of environmental pollution, and environmental degradation in the village enhances the impact and increases people's environmental awareness. Furthermore, the impact is not significantly different between residents in villages of different economic levels, and between residents of different levels of socioeconomic status. The results highlight the potential for promoting sustainability after experiencing disruptive shocks and stressors triggered by disasters, and demonstrate that it is crucial to understand environmental awareness as a dynamic process in changing local contexts.

Delivery routing problem of pure electric vehicle with multi-objective pick-up and delivery integration.

With the growth of people's environmental awareness and the encouragement of government policies, the use of electric vehicles in logistics distribution is gradually increasing. In order to solve the dual demand of customers' simultaneous pick-up and delivery in the "last kilometer logistics", an electric vehicle routing problem with simultaneous pick-up and delivery and time window (EVRPSPDTW) is considered from the perspective of multi-objective distribution in this paper. Firstly, a decision-making model based on distribution cost and power consumption function is established. In this model, distribution cost includes transportation cost, vehicle use cost, penalty cost of not arriving on time and charging cost. Power consumption function is the energy loss caused by air resistance, tire rolling friction and transmission system. Secondly, a multi-objective genetic algorithm (NSGA-II) optimization solution with fast nondominated ranking and elite strategy is designed, and in view of the shortcomings of traditional NSGA-II, it is proposed to complete population initialization through greedy algorithm and random rules, introduce adaptive cross-mutation strategy in the chromosome crossing and mutation stage, and design three different neighborhood operators in mutation operation based on variant fitness function. Finally, the sensitivity analysis of traffic congestion coefficient further proves the effectiveness of the proposed model and the improved algorithm.

Synthesis and up-to-date applications of 2D microporous g-C3N4 nanomaterials for sustainable development.

In recent years, with the development of industrial technology and the increase of people's environmental awareness, the research on sustainable materials and their applications has become a hot topic. Among two-dimensional (2D) materials that have been selected for sustainable research, graphitic phase carbon nitride (g-C3N4) has become a hot research topic because of its many outstanding advantages such as simple preparation, good electrochemical properties, excellent photochemical properties, and better thermal stability. Nevertheless, the inherent limitations of g-C3N4 due to its relatively poor specific surface area, rapid charge recombination, limited light absorption range, and inferior dispersion in aqueous and organic media have limited its practical application. In the review, we summarize and analyze the unique structure of the 2D microporous nanomaterial g-C3N4, its synthesis method, chemical modification method, and the latest application examples in various fields in recent years, highlighting its advantages and shortcomings, with a view to providing ideas for overcoming the difficulties in its application. Furthermore, the pressing challenges faced by g-C3N4 are briefly discussed, as well as an outlook on the application prospects of g-C3N4 materials. It is expected that the review in this paper will provide more theoretical strategies for the future practical application of g-C3N4-based materials, as well as contributing to nanomaterials in sustainable applications.

ECOLOGICAL AWARENESS OF TOURISTS AS A DETERMINANT OF TOURIST CHOICES

It is worth looking at the behavior of tourists, which can be described as environmentally friendly. A friendly approach to the environment on the part of tourism, more specifically tourists, is a concept present in the literature and studied for several decades. There is a next generation that is familiar with the sustainable concept in tourism, at least in the declarative sphere. Research of the awareness of the recipients of the tourist offer in the next generation living in the awareness of the limitations that must be imposed on oneself so that the limited resources could be used by their consequences seems to be a necessity. It is worth checking how persistent the ecological imperative is in the minds of tourists in the second decade of the 21st century. Such knowledge can be a starting point for a broader discussion of the condition of a modern tourist with his preferences and choices, which are derived from many factors, adopted attitudes or beliefs. The aim of the article is an attempt to assess the perception by tourists from leading tourist countries, including Poland, of the need for pro-ecological behavior when practicing tourism. What is the environmental awareness of people who travel, regardless of the nature of the trip. In order to achieve the defined goal, the results of the diagnostic survey were analyzed. 149 tourists from four countries were asked questions: Poland, Portugal, Turkey and Mexico. The main conclusion can be presented in the statement that the pro-ecological approach is deeply rooted in the consciousness of contemporary societies and this is reflected in everyday decisions, behavior and choices, including those in tourism, regardless of the form of tourism practiced

Implementation of Aerial Panoramic Photography for Environmental Studies Through VR Experiences

Technology allows us to experience situations from a different perspective. This project investigated many parts and techniques for better VR experiences. Aerial photography: Aerial photography provides a broad view of the changes in a landscape. However, aerial photography cannot offer a microscopic perspective of the changes with novel panoramas and landscape photos. A parallax compensation algorithm for stitching videos enables the user to reduce the time required to fix stitching issues in post-production. The experiment results indicated that the optimum camera height was 500 m, slightly higher than the clouds. An appropriate number of spatial samples were selected during photography to obtain high-quality images. The researchers avoided restricted flight areas and designed the image acquisition method according to the selected flight path, which were then combined in the post-processing step. Those 360-degree-aerial-images trigger young people's environmental awareness, which enhances the creator's sense of environmental protection.

The intertwining of world news with Sustainable Development Goals: An effective monitoring tool

This study aims to bring about a novel approach to the analysis of Sustainable Development Goals (SDGs) based solely on the appearance of news. Our purpose is to provide a monitoring tool that enables world news to be detected in an SDG-oriented manner, by considering multilingual as well as wide geographic coverage. The association of the goals with news basis the World Bank Group Topical Taxonomy, from which the selection of search words approximates the 17 development goals. News is extracted from The GDELT Project (Global Database of Events, Language and Tone) which gathers both printed as well as online news from around the world. 60 851 572 relevant news stories were identified in 2019. The intertwining of world news with SDGs as well as connections between countries are interpreted and highlight that even in the most SDG-sensitive countries, only 2.5% of the news can be attributed to the goals. Most of the news about sustainability appears in Africa as well as East and Southeast Asia, moreover typically the most negative tone of news can be observed in Africa. In the case of climate change (SDG 13), the United States plays a key role in both the share of news and the negative tone. Using the tools of network science, it can be verified that SDGs can be characterized on the basis of world news.This news-centred network analysis of SDGs identifies global partnerships as well as national stages of implementation towards a sustainable socio-environmental ecosystem. In the field of sustainability, it is vital to form the attitudes and environmental awareness of people, which strategic plans cannot address but can be measured well through the news.

Determination of the nighttime light imagery for urban city population using DMSP-OLS methods in Istanbul.

Demography researchers and scientists have been effectively utilizing advanced technologies and methods such as geographical information systems, spatial statistics, georeferenced data, and satellite images for the last 25 years. Areal interpolation methods have also been adopted for the development of population density maps which are essential for a variety of social and environmental studies. Still, a good number of social scientists are skeptical about such technologies due to the complexity of methods and analyses. In this regard, a practical intelligent dasymetric mapping (IDM) tool that facilitates the implementation of the statistical analyses was used in this study to develop the population distribution map for the Istanbul metropolitan area via night light data provided by the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) and the census records of the study area. A population density map was also produced using the choropleth mapping method to enable to make a comparison of the traditional and intelligent population density mapping implementations. According to the dasymetric population density map, 38.5% of the study area fell into sparse density category while low, moderate, high, and very high population density class percentages were found to be 9.4%, 5.5%, 2.9%, and 0.1% respectively. On the other hand, the percentages of the same population density classes ranking from sparse to very high in the choropleth map were determined to be 90.7%, 7.3%, 1.7%, 0.3%, and 0%. In the change analysis made as a result of the classification, the changes between the city area and the population were revealed. During this period, the city area and population grew. Spatial change has also been interpreted by comparing it with population changes. There appears to be a remarkable increase in both surface area and population. It is observed that the increase is especially in the south and northwest of the city. With the population increase, the number of new residential areas has increased. It is thought that behind this growth, there are different reasons besides the effect of the increase in residential areas. When the environmental awareness of people has increased more than in the past centuries, new solutions should be produced in order to be more controlled, smart, and sustainable while planning the cities of the future. Considering that the development of technology and remote sensing techniques is progressing in parallel with this technology, this study in which GIS technologies integrated with satellite images are used, it is thought that it will contribute positively to the studies in this area in terms of regular development of urban areas, increasing the opportunity to make fast and correct decisions, and creating infrastructure for studies such as monitoring and prevention of illegal housing.

Self-adaptive spatial-temporal network based on heterogeneous data for air quality prediction

With the development of society and the rise of people's environmental awareness, air pollution is receiving increased public attention. Accurate air quality prediction can provide useful information for government decision-making and residents' activities. However, accurately predicting future air quality remains a challenging task because of the complex spatial-temporal dependencies of air quality. Previous studies failed to explicitly model these spatial-temporal dependencies. In this paper, we propose a self-adaptive spatial-temporal network (SA-STNet) to efficiently and effectively capture the spatial-temporal dependencies of air quality. In order to effectively aggregate spatial information, we employ a self-adaptive graph convolution module that can learn the latent spatial correlations of air quality automatically. In the temporal dimension, we utilise three independent components to capture the recent, daily-periodic, and weekly-periodic temporal dependencies of air quality, respectively. In addition, our model exploits rich external complementary information by means of a features extraction component. A parametric-matrix-based fusion architecture is used to combine the outputs of different components into a joint representation which is used for generating the final prediction results. Extensive experiments carried out on real-world datasets demonstrate the outstanding performance of our model compared with baselines and state-of-the-art methods.

Conocimientos, actitudes y disposición para el desarrollo sostenible en la universidad: Podcasts y concienciación ambiental

La investigación que da origen al presente artículo tuvo como objetivo estudiar las relaciones entre conocimiento, actitudes y disposición ambiental frente a los factores cargo y sexo de los miembros de una comunidad universitaria en Ecuador. La muestra estuvo conformada por 795 personas entre autoridades, profesorado, alumnado, personal administrativo y personal de servicios, quienes participaron en el proyecto durante el periodo 2018-2019. Los instrumentos administrados fueron: la escala de actitudes culturales hacia el desarrollo sostenible de estudiantes universitarios, el cuestionario conocimiento y actitudes hacia el calentamiento global y la escala de voluntad para mitigar los efectos del cambio climático por razones antropogénicas. El análisis estadístico de los datos colectados muestra que existen relaciones significativas entre conocimiento y actitudes ambientales con los factores cargo y sexo de los participantes; mientras que no existen relaciones significativas entre la voluntad para mitigar los efectos del cambio climático y los factores cargo y sexo. También se presenta una intervención educativa que hace uso de podcasts para fortalecer la conciencia ambiental de las personas. Los resultados permiten concluir que el uso creativo de herramientas informáticas tales como los podcasts, aportan al fortalecimiento de la conciencia ambiental en una comunidad universitaria.

The influence of investor sentiment on the green bond market

Stock market price prediction has improved due to social network activity since social networks can provide useful information, for example, on message sentiment. Few studies have analysed the influence of social networks on the bond market, and even fewer have specifically analysed the influence on the green bond market. By financing environmental projects that promote sustainability, green bonds are becoming increasingly important because of their relationship with major issues, such as climate change and water management. In addition, increases in people's environmental awareness have led companies to enact corporate social responsibility policies and environmentally sustainable projects. This context supports the relevance of this research because although there have been previous studies on green bonds, there is a scarcity of manuscripts that relate green bonds with social media and, more specifically, with investors’ sentiments. Therefore, using panel data analysis, the aim of this study is to analyze how the investor sentiment extracted from social networks influences the green bond market. The results of this manuscript should lead investors and markets to consider social networks as relevant sources of information not only for the equity market but also for the bond market, specifically the green bond market.

Impacts of socio-economic status and environmental attitudes of locals on E-flow allocation in Weihe River Basin, China

There is an increasing awareness on importance of Environmental Flow (E-flow) in hydrology and watershed management, and environmental attitudes and socio-economic status of locals usually impact E-flow allocation levels. This study develops a system index to analyze these impacts based on a questionnaire survey on households in the Weihe River Basin, China, and four different E-flow allocation levels are considered in the analysis. The main results suggest that: 1) education is important to raise people's environmental awareness, 2) majority people accept to slightly increase water price and pollution fee to save water for E-flow, 3) potential water saving ability of locals is around 5 L/day per person, and 4) impacts of the situation and attitudes of local households are very limited on pollution dilution E-flow and sediment transportation E-flow. These analysis method and results are very supportive for water policy making concerning water saving, water pricing, subsidy and water allocation.

Tendências e perspectivas do Novo Paradigma Ecológico:

A escala New Ecological Paradigm (NEP) foi desenvolvida para facilitar a compreensão de como a sociedade vê as questões ambientais, avaliando suas atitudes, crenças e comportamentos em relação ao meio ambiente. Nesse sentido, o objetivo deste artigo é analisar a produção científica sobre o Novo Paradigma Ecológico (NEP), identificando tendências e perspectivas referentes à sua aplicação. Para isso, realizou-se uma análise sistemática da literatura científica, com alguns indicadores bibliométricos, conduzida pela metodologia Prisma. Por meio da aplicação dessa metodologia, foram selecionados 59 artigos para análise desse estudo. Percebeu-se que o principal público da aplicação dessa escala são estudantes universitários, com predominância do sexo feminino e que 85% dos artigos revelaram uma visão ecocêntrica de mundo, refletindo em um alto nível de consciência ambiental. Dessa forma, a análise sistemática dos artigos revela que as pessoas estão adotando o Novo Paradigma Ecológico com comportamentos e atitudes pró-ambientais, contribuindo para o desenvolvimento sustentável.

노거수의 가치 평가 연구 - 경주 계림숲 느티나무를 대상으로 -

노거수는 높은 가치를 지니고 있는 재생불능자원이므로 과학적이고 합리적인 가치 평가는 노거수의 보존관리에 있어 매우 중요하다. 그러나 현재 노거수의 가치 평가에 관한 연구와 권위 있는 평가 지표는 매우 부족한 실정이다. 본 연구는 노거수의 특수성을 감안한 가치 요인을 분석하여 합리적인 평가 지표를 선정하고 현실 적용 가능한 가치 평가 모형을 구축하는데 목적이 있다. 노거수의 평가 지표는 경제가치, 과학연구가치, 생태가치, 경관가치, 사회공익가치로 구분된다. 노거수의 가치에 대한 중요 인자는 인문역사, 성장장소, 수목상태, 수형, 수세, 수종, 수관, 보호등급, 성장환경 등 이다. 계층분석법(AHP)을 이용하여 가치 평가 산식을 작성하고 경주의 세계문화유산인 계림숲 내에 위치한 느티나무의 가치 평가를 실시하였다. 느티나무의 가치는 평가결과 491,503,300원으로 추정된다. 연구 결과는 노거수의 가치 감정과 손실 보상에 중요한 자료가 되며 노거수에 대한 보호 의식을 향상시킬 수 있다. Old-growth and giant tree is a nonrenewable resource with great value. The purpose of this study is to provide scientific and reasonable evaluations for the preservation and management of the old-growth and giant tree. Until now the research of old-growth and giant tree's value evaluation and authoritative index is so insufficient and imperfection. Combining with the particularity of the old-growth and giant tree, this study analyzed the main value factors of the old-growth and giant tree and objectively selected the evaluation indicators. According to the actual situation value appraisal model of the old-growth and giant tree was builded. The main value factors can be divided into economic value, cultural history, growing place, tree state, tree form, tree vigor, protection level, growth environment, tree species, tree canopy, and so on. The evaluate indicators can be selected and the indicators' weight can be calculate using analytic hierarchy process methods(AHP). Based on economic value and indicators' weight, tree's total value can be revealed. After calculation and analysis, Gyeongju Gyerim Zelkova serrata's value evaluation results is 491,503,300 won. The research results of this study can provide scientific basis and reference to the old-growth and giant trees' value appraisal and loss compensation, and arouse people's environmental awareness.