Types, sources, socioeconomic impacts, and control strategies of environmental noise: a review

Farooqi, Zia Ur Rahman; Ahmad, Iftikhar; Ditta, Allah; Ilić, Predrag; Amin, Muhammad; Naveed, Abdul Basit; Gulzar, Aadil

doi:10.1007/s11356-022-23328-7

Cited by 16 publications

(13 citation statements)

References 205 publications

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“…The exploitation of this source also means that Pakistan's long-term energy planning would also attract foreign direct investment and reduce the country's dependence on imported fuel for the sustainable development of energy needs [41]. However, the use of coal is also considered the biggest source of greenhouse gas (GHG) emissions, and coal ash residue, which is the large volume of waste produced by coal-fired power plants, signifies a high potential for global warming and environmental contamination [42,43].…”

Section: Discussionmentioning

confidence: 99%

Conversion of Coal-Biomass into Diesel by Using Aspen Plus

Bashir¹,

Amin

Fareed

et al. 2022

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Taking the importance of Pakistan’s dire need for energy breakthrough, in this paper, we explore how the country’s vast estimated reserves of 175 billion tons of Thar coal is a useful source for the clean and efficient production of good quality liquid fuel. Coal to liquid (CTL) technology has gathered increasing attention among many countries with a sufficient volume of coal reserves, and this technology can also be implemented in Pakistan, which in result can also reduce harmful greenhouse gas (GHG) emissions in the environment. In this study, the Fischer Tropsch Synthesis (FT) liquefaction method was used, and the reactor design, chemical reactions, syngas ratio fraction, and Anderson-Schulz-Flory and Langmuir model were all obtained from the Aspen Plus simulation. The results showed that, at the optimum syngas flow rate of 9 Kg/s, the FT model produced diesel fuel at 0.00134 Kg/s. Per this calculation, the massive amount of Thar coal reserves can be transformed into 123.22 million barrels of diesel. The design of the reactor is very critical, and, in this study, it was prioritized to design a reactor that produces liquid fuel only of composition C12+; during the production of liquid fuel, the quantity of methane is not high; and it can still be further reduced on optimized conditions. On the other hand, CO2 gas, which is a sole contributor of GHG emissions, was also reduced by up to 98%.

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Section: Discussionmentioning

confidence: 99%

Conversion of Coal-Biomass into Diesel by Using Aspen Plus

Bashir¹,

Amin

Fareed

et al. 2022

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“…Higher DI values can significantly impact the human body, leading to respiratory and bronchial dysfunction, increased discomfort, and a higher occurrence of negative phenomena such as higher crime rates, increased traffic accidents, and decreased work efficiency [17]. The following are responses based on the DI (%): Noise can be considered a negative environmental factor when it is unwanted or unnecessary [18]. Noise levels are depicted in Figure 1.…”

Section: Human Psychology According To Environmentmentioning

confidence: 99%

Image Recommendation System Based on Environmental and Human Face Information

Won

Heo

Kwak

2023

Sensors

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With the advancement of computer hardware and communication technologies, deep learning technology has made significant progress, enabling the development of systems that can accurately estimate human emotions. Factors such as facial expressions, gender, age, and the environment influence human emotions, making it crucial to understand and capture these intricate factors. Our system aims to recommend personalized images by accurately estimating human emotions, age, and gender in real time. The primary objective of our system is to enhance user experiences by recommending images that align with their current emotional state and characteristics. To achieve this, our system collects environmental information, including weather conditions and user-specific environment data through APIs and smartphone sensors. Additionally, we employ deep learning algorithms for real-time classification of eight types of facial expressions, age, and gender. By combining this facial information with the environmental data, we categorize the user’s current situation into positive, neutral, and negative stages. Based on this categorization, our system recommends natural landscape images that are colorized using Generative Adversarial Networks (GANs). These recommendations are personalized to match the user’s current emotional state and preferences, providing a more engaging and tailored experience. Through rigorous testing and user evaluations, we assessed the effectiveness and user-friendliness of our system. Users expressed satisfaction with the system’s ability to generate appropriate images based on the surrounding environment, emotional state, and demographic factors such as age and gender. The visual output of our system significantly impacted users’ emotional responses, resulting in a positive mood change for most users. Moreover, the system’s scalability was positively received, with users acknowledging its potential benefits when installed outdoors and expressing a willingness to continue using it. Compared to other recommender systems, our integration of age, gender, and weather information provides personalized recommendations, contextual relevance, increased engagement, and a deeper understanding of user preferences, thereby enhancing the overall user experience. The system’s ability to comprehend and capture intricate factors that influence human emotions holds promise in various domains, including human–computer interaction, psychology, and social sciences.

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“…Many scientific studies confirm the influence of environmental factors on physical and mental health [2]. The harmful effect of air [3,4] and water pollution [5] has been proven, as well as noise [6] and inappropriate exposure to light [7]which are associated with many diseases.…”

Section: Introduction and Objectivesmentioning

confidence: 98%

The influence of architecture, design and physical environment in residential buildings on cardiovascular disease – rationale and protocol for an overview of systematic reviews

Abramczyk¹,

Krzysztoń²,

Windak³

et al. 2023

Ann Agric Environ Med.

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Introduction andObjective. Architecture and design solutions profile the environment and living conditions in residential housing and may have an impact on health. The aim of the study was to summarise all published systematic reviews (SRs) with or without meta-analysis (MAs), which assess the effect on cardiovascular disease (CVD) of the architecture, design and physical environment in residential buildings. Materials and method. This study presents the rationale and protocol of an overview of SRs. It was prepared according to Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA-P). Four bibliographical databases will be searched. Eligible SRs can include RCTs, quasi-RCTs and observational studies. Results and Summery. The expected results of the completed overview of SRs will comprehensively summarise evidence concerning the influence of residential environment on cardiovascular health. This might be of importance to physicians, architects, public health professionals and politicians.

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Types, sources, socioeconomic impacts, and control strategies of environmental noise: a review

Cited by 16 publications

References 205 publications

Conversion of Coal-Biomass into Diesel by Using Aspen Plus

Conversion of Coal-Biomass into Diesel by Using Aspen Plus

Image Recommendation System Based on Environmental and Human Face Information

The influence of architecture, design and physical environment in residential buildings on cardiovascular disease – rationale and protocol for an overview of systematic reviews

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