This study delves into the significant impact of marine oil spills on ecosystems, societies, and economies. Marine environments, critical for global biodiversity, face severe threats from incidents like oil spills, causing immediate environmental hazards and enduring implications for marine life, habitats, and human societies. The research aims to analyze the intricate relationship between marine oil spills and their multifaceted impacts across ecological, environmental, societal, and economic dimensions. Through an examination of ecosystem responses, management methodologies, societal and economic ramifications, and an analysis of notable incidents like the Exxon Valdez and Deepwater Horizon, this study seeks to identify deficiencies in current strategies and propose more effective and sustainable remediation approaches. By synthesizing available information, this paper provides insights and recommendations for future policies, technological innovations, and research directions, aiming to promote sustainable coexistence between human activities and marine ecosystems.
{"title":"The Impact of Marine Oil Spills on the Ecosystem","authors":"Zhigang Zhang, Hongdong Sun, Yajie Guo","doi":"10.58531/ijest/2/1/1","DOIUrl":"https://doi.org/10.58531/ijest/2/1/1","url":null,"abstract":"This study delves into the significant impact of marine oil spills on ecosystems, societies, and economies. Marine environments, critical for global biodiversity, face severe threats from incidents like oil spills, causing immediate environmental hazards and enduring implications for marine life, habitats, and human societies. The research aims to analyze the intricate relationship between marine oil spills and their multifaceted impacts across ecological, environmental, societal, and economic dimensions. Through an examination of ecosystem responses, management methodologies, societal and economic ramifications, and an analysis of notable incidents like the Exxon Valdez and Deepwater Horizon, this study seeks to identify deficiencies in current strategies and propose more effective and sustainable remediation approaches. By synthesizing available information, this paper provides insights and recommendations for future policies, technological innovations, and research directions, aiming to promote sustainable coexistence between human activities and marine ecosystems.","PeriodicalId":499207,"journal":{"name":"International Journal of Engineering Sciences and Technologies","volume":"31 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marine oil pollution, stemming from human activities, poses severe threats to ecosystems and coastal areas globally. This study assesses and compares various marine oil cleanup technologies, examining their efficiency and environmental impacts. The overview covers mechanical methods (e.g., skimming, barriers) and chemical/biological approaches (e.g., bioremediation, chemical agents). Evaluation criteria include effectiveness in diverse environments, cleanup speed, scalability, and cost/resource requirements. Case studies like the Dalian Port 7·16 Oil Leak and the Bohai Bay Oil Spill shed light on applied technologies and their outcomes. Recommendations emphasize enhancing cleanup strategies and regulatory frameworks for efficient responses to oil spill events. This study advocates for understanding cleanup technology limitations and ecological impacts while promoting sustainable strategies to combat marine oil pollution's adverse effects.
{"title":"Comparative Analysis of Efficiency and Environmental Impact of Various Marine Oil Cleanup Technologies","authors":"Zhigang Zhang, Hongdong Sun","doi":"10.58531/ijest/2/1/3","DOIUrl":"https://doi.org/10.58531/ijest/2/1/3","url":null,"abstract":"Marine oil pollution, stemming from human activities, poses severe threats to ecosystems and coastal areas globally. This study assesses and compares various marine oil cleanup technologies, examining their efficiency and environmental impacts. The overview covers mechanical methods (e.g., skimming, barriers) and chemical/biological approaches (e.g., bioremediation, chemical agents). Evaluation criteria include effectiveness in diverse environments, cleanup speed, scalability, and cost/resource requirements. Case studies like the Dalian Port 7·16 Oil Leak and the Bohai Bay Oil Spill shed light on applied technologies and their outcomes. Recommendations emphasize enhancing cleanup strategies and regulatory frameworks for efficient responses to oil spill events. This study advocates for understanding cleanup technology limitations and ecological impacts while promoting sustainable strategies to combat marine oil pollution's adverse effects.","PeriodicalId":499207,"journal":{"name":"International Journal of Engineering Sciences and Technologies","volume":"38 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper explores the integration of machine learning techniques in the context of Industry 4.0, aiming to enhance automation, optimize processes, and enable data-driven decision-making in industrial settings. It provides an overview of Industry 4.0, highlighting its evolution and transformative impact on manufacturing. The paper also examines various machine learning algorithms and their adaptability to diverse industrial applications. Challenges including data quality, security, and scalability are addressed, along with case studies illustrating successful machine learning implementations. Future trends and research directions at the intersection of machine learning and Industry 4.0 are outlined, providing valuable insights for researchers and practitioners. This research offers a foundational framework for navigating the dynamic landscape of machine learning within Industry 4.0.
{"title":"Integrating Machine Learning Techniques for Advancing Industry 4.0: Opportunities, Challenges, and Future Directions","authors":"Markus Schmidt","doi":"10.58531/ijest/1/2/3","DOIUrl":"https://doi.org/10.58531/ijest/1/2/3","url":null,"abstract":"This paper explores the integration of machine learning techniques in the context of Industry 4.0, aiming to enhance automation, optimize processes, and enable data-driven decision-making in industrial settings. It provides an overview of Industry 4.0, highlighting its evolution and transformative impact on manufacturing. The paper also examines various machine learning algorithms and their adaptability to diverse industrial applications. Challenges including data quality, security, and scalability are addressed, along with case studies illustrating successful machine learning implementations. Future trends and research directions at the intersection of machine learning and Industry 4.0 are outlined, providing valuable insights for researchers and practitioners. This research offers a foundational framework for navigating the dynamic landscape of machine learning within Industry 4.0.","PeriodicalId":499207,"journal":{"name":"International Journal of Engineering Sciences and Technologies","volume":"26 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136158932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research provides a comprehensive analysis of the historical evolution and practical implementation of seismic-resistant architectural techniques in earthquake-prone regions, with a particular focus on Japan. Through detailed case studies and advanced simulations, the study rigorously evaluates the empirical effectiveness of these strategies in mitigating earthquake-induced damage. Furthermore, the research addresses avenues for ongoing refinement in seismic-resistant design. The findings not only consolidate the practical applications of these technologies but also offer valuable insights into their future trajectories and potential research directions. This study contributes significantly to the advancement of earthquake resilience in architectural engineering.
{"title":"Integrating Renewable Energy Systems in Green Building Design","authors":"Takeshi Nakamura, Yukihiro Suzuki","doi":"10.58531/ijest/1/2/2","DOIUrl":"https://doi.org/10.58531/ijest/1/2/2","url":null,"abstract":"This research provides a comprehensive analysis of the historical evolution and practical implementation of seismic-resistant architectural techniques in earthquake-prone regions, with a particular focus on Japan. Through detailed case studies and advanced simulations, the study rigorously evaluates the empirical effectiveness of these strategies in mitigating earthquake-induced damage. Furthermore, the research addresses avenues for ongoing refinement in seismic-resistant design. The findings not only consolidate the practical applications of these technologies but also offer valuable insights into their future trajectories and potential research directions. This study contributes significantly to the advancement of earthquake resilience in architectural engineering.","PeriodicalId":499207,"journal":{"name":"International Journal of Engineering Sciences and Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136377057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating Renewable Energy Systems in Green Building Design","authors":"Luigi Wilkinson, Sara Maffei","doi":"10.58531/ijest/1/2/1","DOIUrl":"https://doi.org/10.58531/ijest/1/2/1","url":null,"abstract":"","PeriodicalId":499207,"journal":{"name":"International Journal of Engineering Sciences and Technologies","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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