From the Perspectives of Pollution Governance and Public Health: A Research of China’s Fiscal Expenditure on Energy Conservation and Environmental Protection

Di, Zhang; Xiao, Dong

doi:10.3390/ijerph20116018

Cited by 2 publications

(1 citation statement)

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“…In an era defined by unprecedented environmental challenges and the constant evolution of public health threats, the utilization of cutting-edge technologies is crucial to formulate effective strategies for environmental health and public safety (Zhang andDong, 2023, Campbell-Lendrum et al, 2023). Among these technologies, Artificial Intelligence (AI) has emerged as a transformative force, offering innovative solutions to monitor, predict, and mitigate environmental risks while enhancing the overall safety and well-being of communities (Rane, 2023, Kunduru, 2023, Ukoba and Jen, 2022, Bahroun et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in environmental health and public safety: A comprehensive review of USA strategies

Adedayo Adefemi,

Emmanuel Adikwu Ukpoju,

Oladipo Adekoya

et al. 2023

World J. Adv. Res. Rev.

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This study explores the transformative role of artificial intelligence (AI) in environmental health and public safety within the USA, focusing on pollution monitoring, emergency response, and sustainable practices for public. With the growing challenges posed by climate change, pollution, and emerging public health threats, the integration of Artificial Intelligence (AI) in environmental health and public safety strategies has become imperative. This comprehensive review explores the diverse array of AI applications implemented in the United States to address environmental issues and enhance public safety measures. The paper analyzes the multifaceted role of AI across various domains, including air and water quality monitoring, disease surveillance, disaster response, and infrastructure resilience. The advancements in AI technologies that have revolutionized data collection, analysis, and prediction in environmental health are examined. Machine learning algorithms, sensor networks, and satellite imagery are examined as tools for real-time monitoring and early detection of environmental hazards. Additionally, the paper investigates the integration of AI in public health surveillance systems, showcasing how predictive analytics and data-driven models contribute to the identification and containment of infectious diseases. Furthermore, the study sheds light on the incorporation of AI in disaster management, emphasizing the role of predictive modeling and risk assessment in optimizing emergency response strategies. The implementation of smart city technologies and intelligent infrastructure systems is discussed, highlighting how AI contributes to enhancing public safety and minimizing the impact of natural disasters. The review also critically evaluates the ethical, legal, and privacy considerations associated with the widespread adoption of AI in environmental health and public safety initiatives. It addresses concerns related to data security, algorithmic biases, and the need for transparent and accountable governance frameworks. Through an in-depth analysis of case studies, policies, and initiatives, this review provides insights into the successes and challenges of AI implementation in the USA. It concludes with recommendations for future research directions and policy considerations to ensure the responsible and effective integration of AI technologies in safeguarding environmental health and public safety. The findings presented in this review contribute to the broader discourse on leveraging AI for sustainable and resilient communities in the face of evolving environmental and public health challenges.

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Section: Introductionmentioning

confidence: 99%

Artificial intelligence in environmental health and public safety: A comprehensive review of USA strategies

Adedayo Adefemi,

Emmanuel Adikwu Ukpoju,

Oladipo Adekoya

et al. 2023

World J. Adv. Res. Rev.

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The Influence of Rural Ecological Environment Development by China's Industrialization Process

Xia

2024

International Journal of Agricultural and Environmental Information Systems

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This article aims to solve the problem of heavy pollution load in rural ecological environment at present. This article elaborates on the relevant concepts and theories of rural industrialization and ecological environment protection, mainly using a combination of qualitative and quantitative methods to analyze the current situation of rural ecological environment pollution in the research area. The research results indicate that the current rural ecological environment pollution load in China is heavy and severe, especially the use of fertilizers, pesticides, agricultural plastic films, livestock and poultry breeding, rural life, and township enterprise production, which have caused varying degrees of harm to the regional rural ecological environment. Therefore, effective measures must be taken to achieve the organic combination of rural industrialization and ecological environment protection. This article provides guidance for promoting the optimization and upgrading of rural industrial structure, achieving a win-win situation of economic and ecological benefits.

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From the Perspectives of Pollution Governance and Public Health: A Research of China’s Fiscal Expenditure on Energy Conservation and Environmental Protection

Cited by 2 publications

References 33 publications

Artificial intelligence in environmental health and public safety: A comprehensive review of USA strategies

Artificial intelligence in environmental health and public safety: A comprehensive review of USA strategies

The Influence of Rural Ecological Environment Development by China's Industrialization Process

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