The role of blockchain technology in facilitating finance for metal and mining resources DOI
Ting Cai, Xuetao Shi, Zhaoyan Shang

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 99, P. 105383 - 105383

Published: Nov. 9, 2024

Language: Английский

Advancing toward sustainability: The emergence of green mining technologies and practices DOI Creative Commons
Moshood Onifade, T. Zvarivadza, John Adebisi

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(2), P. 157 - 174

Published: June 1, 2024

This study comprehensively evaluates the integration and effectiveness of green mining technologies within sector, specifically focusing on mitigating environmental impact traditional practices. The primary goal is to establish a sustainable model that significantly reduces energy consumption minimizes ecological disturbances. To achieve this, employs mixed-method approach, integrating quantitative data analysis from monitored sites qualitative insights industry experts. Key parameters include consumption, greenhouse gas emissions, reductions in chemical use. findings reveal effective leads significant lower improved waste management compared methods. Specifically, use electric vehicles renewable sources operations has resulted decreased carbon emissions usage across studied sites. research concludes practices, when supported by robust technological regulatory frameworks, not only enhance sustainability but also boost economic efficiency industry. recommends increased investment development calls for tighter oversight ensure widespread adoption optimization these

Language: Английский

Citations

38

AI and machine learning in climate change research: A review of predictive models and environmental impact DOI Creative Commons

Ahmad Hamdan,

Kenneth Ifeanyi Ibekwe,

Emmanuel Augustine Etukudoh

et al.

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 21(1), P. 1999 - 2008

Published: Jan. 25, 2024

The burgeoning threat of climate change has spurred an increased reliance on advanced technologies to comprehend and mitigate its far-reaching consequences. Artificial Intelligence (AI) Machine Learning (ML) have emerged as indispensable tools in research, offering unprecedented capabilities for predictive modeling assessing environmental impact. This review synthesizes the current state AI ML applications emphasizing their role understanding repercussions. Predictive models leveraging algorithms demonstrated remarkable efficacy forecasting patterns, extreme weather events, sea-level rise. These incorporate vast datasets encompassing meteorological, geospatial, oceanic information, enabling more accurate predictions future scenarios. Moreover, AI-driven excel recognizing intricate patterns non-linear relationships within data, enhancing capacity simulate complex systems. Environmental impact assessment stands a critical facet techniques are proving instrumental this regard. facilitate analysis diverse ecological parameters, including deforestation rates, biodiversity loss, carbon sequestration dynamics. By discerning nuanced immense datasets, systems contribute direct indirect consequences ecosystems. Despite these advancements, challenges persist, such need standardized data formats, model interpretability, ethical considerations. Additionally, integration findings into policy frameworks remains crucial frontier. As intersection AI, ML, research evolves, continuous interdisciplinary collaboration is essential harness full potential safeguarding our planet's future. illuminates landscape applications, providing insights efficacy, challenges, contributions advancing sustainability.

Language: Английский

Citations

9

Does mineral resource consumption reduce by energy transition and fossil fuel energy intensity? Moderating role of financial inclusion and digitalization DOI

Na Sun,

Wei Long

Resources Policy, Journal Year: 2024, Volume and Issue: 93, P. 105055 - 105055

Published: May 24, 2024

Language: Английский

Citations

4

Integrating education for sustainable development (ESD) into the Kurikulum Merdeka : pedagogical practices in early childhood education centers in Indonesia DOI
Hardiyanti Pratiwi, Murniyanti Ismail, Ikta Yarliani

et al.

Environmental Education Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 18, 2025

Language: Английский

Citations

0

The asymmetric impact of energy shortages on sustainable development, human development and economic growth in South Asian countries: The moderating role of globalization DOI
Feng Wang, Tayyaba Rani, Muhammad Asif Amjad

et al.

Energy Policy, Journal Year: 2025, Volume and Issue: 202, P. 114554 - 114554

Published: March 17, 2025

Language: Английский

Citations

0

Racing towards environmental sustainability by lowering fossil resources in the energy mix during era of global boiling DOI
Bilal Hussain, Komal Batool, Syed Asif Ali Naqvi

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: unknown, P. 124847 - 124847

Published: April 1, 2025

Language: Английский

Citations

0

Research on the Impact of Digital-Realistic Integration to Promote Sustainable Development of Enterprises: Based on the Perspective of Technology Bias DOI Creative Commons
Haoshen Chen,

Xiao‐Yuan Cui,

Zhi Li

et al.

SAGE Open, Journal Year: 2025, Volume and Issue: 15(2)

Published: April 1, 2025

Green and sustainable corporate development promotes economic, environmental, social sustainability. It significantly enhances long-term profitability mitigates climate change. An essential avenue toward fostering green among enterprises lies in the organic amalgamation of digital technology with real economy, commonly called digital-real integration. Hence, a comprehensive exploration integration its impact on becomes imperative. This study endeavors to address this need by constructing two-sector four-factor model focusing production R&D. examines both factor-based technology-based technologies assess their influence enterprises, alongside scrutinizing bias technological progress from theoretical empirical standpoints. paper employs panel data Chinese A-share listed companies covering period 2000 2022 develop for analysis. The findings reveal that fusion positively contribute enterprises. However, exhibits an inverted U-shaped curve relationship, significant positive promotional effect is observed only when critical threshold not exceeded. Furthermore, through lens heterogeneity, grappling poor revenue status, backwardness, inadequate internal control, non-compliance SDG policy may encounter challenges executing digital-realistic fusion. Subsequent investigations indicate results capital skilled labor, favoring advancement. In light these findings, we propose following recommendations: (1) expedite innovation optimize industrial framework; (2) implement tax incentives fiscal policies enhance company’s profile promote advancement; (3) establish mandatory environmental regulations ensure compliance objectives. These strategies offer noteworthy paradigm could be adapted developing countries.

Language: Английский

Citations

0

Compression performance and microscopic mechanism of cemented high-sulfide tail fills under varying pH levels: The role of alkaline agents DOI Creative Commons

Qianru He,

Shuai Cao, Erol Yilmaz

et al.

Developments in the Built Environment, Journal Year: 2025, Volume and Issue: unknown, P. 100669 - 100669

Published: April 1, 2025

Language: Английский

Citations

0

An Integrated Goal Programming Model Applied for Planning a National Policy of Sustainable Development: A Case of Jordan DOI

Moawiah Alnsour

Process Integration and Optimization for Sustainability, Journal Year: 2024, Volume and Issue: 8(5), P. 1411 - 1437

Published: June 25, 2024

Language: Английский

Citations

3

Towards sustainable mining in an emerging economy: Assessment of sustainability challenges DOI
Yalçın Berberoğlu, Sachin Kumar Mangla, Yiğit Kazançoğlu

et al.

Resources Policy, Journal Year: 2024, Volume and Issue: 97, P. 105288 - 105288

Published: Sept. 4, 2024

Language: Английский

Citations

2