Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards

Scope & Guideline

Exploring the Frontiers of Risk in Engineering and Geology

Introduction

Explore the comprehensive scope of Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1749-9518
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2007 to 2024
AbbreviationGEORISK / Georisk
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal "Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards" primarily focuses on the intersection of geotechnical engineering and risk assessment, emphasizing innovative methodologies and technologies for addressing geohazards and engineered system risks. Its scope encompasses a wide array of topics related to the assessment and management of risks in geotechnical and geological contexts.
  1. Geotechnical Risk Assessment:
    Investigating and quantifying risks associated with geotechnical systems, including foundations, slopes, and earth structures, using probabilistic models and reliability analysis.
  2. Geohazard Management:
    Focusing on the assessment and mitigation of natural hazards such as landslides, floods, and earthquakes, emphasizing predictive modeling and risk evaluation techniques.
  3. Data-Driven Approaches:
    Utilizing machine learning, artificial intelligence, and data analytics for site characterization, risk prediction, and the optimization of geotechnical designs.
  4. Innovative Modeling Techniques:
    Developing and applying advanced numerical and statistical methods to understand and predict the behavior of geotechnical systems under various conditions.
  5. Integration of Multidisciplinary Knowledge:
    Bringing together insights from geology, hydrology, and environmental science to enhance the understanding of geotechnical risks and develop comprehensive management strategies.
Recent publications in the journal indicate a clear trend towards innovative methodologies and interdisciplinary approaches in the field of geotechnics and risk management. These emerging themes highlight the journal's responsiveness to contemporary challenges and technological advancements.
  1. Machine Learning and AI Applications:
    There is a significant increase in the use of machine learning and artificial intelligence for predictive modeling, risk assessment, and data analysis in geotechnics, reflecting the growing importance of these technologies in engineering practices.
  2. Probabilistic and Stochastic Modeling:
    A trend towards probabilistic and stochastic approaches in risk assessment is evident, allowing for better management of uncertainties associated with geotechnical systems and natural hazards.
  3. Integrated Risk Management Frameworks:
    Emerging themes emphasize the development of integrated frameworks that combine various methodologies and disciplines to address complex geotechnical risk scenarios.
  4. Climate Change Impact Assessments:
    Research focusing on the implications of climate change on geotechnical risks, such as landslides and flooding, is gaining traction, highlighting the importance of adaptive strategies in risk management.
  5. Real-Time Monitoring and Data Assimilation:
    The adoption of real-time monitoring technologies and data assimilation techniques for ongoing risk assessment is becoming more prominent, facilitating timely interventions and decision-making in geotechnical engineering.

Declining or Waning

As the journal evolves, certain themes that were previously prominent may be declining in frequency or relevance. This shift reflects changing priorities in research focus and advancements in technology.
  1. Traditional Geotechnical Testing Methods:
    There is a noticeable decrease in publications focusing solely on conventional geotechnical testing methods, as researchers increasingly favor advanced data-driven and computational approaches.
  2. Static Risk Assessment Models:
    The reliance on static risk assessment models is waning, with publications increasingly emphasizing dynamic and probabilistic models that account for uncertainties and real-time data.
  3. Simple Statistical Analysis:
    The prevalence of basic statistical analyses is declining in favor of more complex and sophisticated techniques, such as machine learning and Bayesian methods, which provide deeper insights into geotechnical problems.

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