Topic Editors

Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Dr. Qiang Wei
Business School, Nankai University, Tianjin 300071, China

Applications of Algorithms in Risk Assessment and Evaluation

Abstract submission deadline
30 April 2025
Manuscript submission deadline
31 July 2025
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1112

Topic Information

Dear Colleagues,

Recent years have witnessed remarkable progress in algorithm research, significantly impacting various industries. These advancements are particularly notable in multi-objective and multi-parameter decision-making, which are critical in decision and management processes. Algorithms have become essential tools in processing large datasets, optimizing complex systems, and providing insights that facilitate strategic decisions. Their widespread application is transforming fields such as geological hazard assessment, land and Earth sciences, water resource management, education, economic management, administrative management, and tourism management, among others.

One key area of application is risk assessment and evaluation. In geological hazard assessment, algorithms predict seismic activities and assess geological stability. For land and Earth sciences, they analyze soil erosion, land-use changes, and environmental degradation. In water resource management, algorithms facilitate the balancing of water supply and demand, ensuring sustainable urban water environment resource allocation. In economic, administrative, and tourism management, these tools evaluate financial risks, optimize resource allocation, and manage visitor flows to enhance both strategic planning and operational efficiency. We welcome submissions on the Applications of Algorithms in Risk Assessment and Evaluation across all fields.

Dr. Yiding Bao
Dr. Qiang Wei
Topic Editors

Keywords

  • algorithms
  • risk assessment
  • mathematical methods
  • big data
  • numerical simulation
  • land and Earth sciences
  • water resource management
  • artificial intelligence
  • economic management
  • administrative management
  • tourism management

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Algorithms
algorithms
1.8 4.1 2008 15 Days CHF 1600 Submit
Data
data
2.2 4.3 2016 27.7 Days CHF 1600 Submit
Earth
earth
2.1 3.3 2020 21.7 Days CHF 1200 Submit
Geosciences
geosciences
2.4 5.3 2011 26.2 Days CHF 1800 Submit
Mathematics
mathematics
2.3 4.0 2013 17.1 Days CHF 2600 Submit
Land
land
3.2 4.9 2012 17.8 Days CHF 2600 Submit
Water
water
3.0 5.8 2009 16.5 Days CHF 2600 Submit

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Published Papers (1 paper)

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24 pages, 11503 KiB  
Article
A Multi-Objective Optimization Framework for Coupled Grey–Green Infrastructure of Areas with Contamination-Induced Water Shortages Under Future Multi-Dimensional Scenarios
by Zixiang Xu, Jiaqing Cheng, Haishun Xu and Jining Li
Land 2024, 13(11), 1932; https://doi.org/10.3390/land13111932 - 16 Nov 2024
Viewed by 532
Abstract
Stormwater resource utilization is an important function of coupled grey–green infrastructure (CGGI) that has received little research focus, especially in multi-objective optimization studies. Given the complex water problems in areas with contamination-induced water shortages, it is important to incorporate more objectives into optimization [...] Read more.
Stormwater resource utilization is an important function of coupled grey–green infrastructure (CGGI) that has received little research focus, especially in multi-objective optimization studies. Given the complex water problems in areas with contamination-induced water shortages, it is important to incorporate more objectives into optimization systems. Therefore, this study integrated economic performance, hydrological recovery, water quality protection, and stormwater resource utilization into an optimization framework based on the non-dominant sorting genetic algorithm III (NSGA-III). A sponge city pilot area with contamination-induced water shortages in the Yangtze River Delta was considered, optimizing four objectives under different future multi-dimensional scenarios. The results showed a time series and scenarios composed of shared socioeconomic pathways and representative concentration pathways (SSP-RCP scenarios) which, together, affected future climate change and the benefits of a CGGI. In the near and middle periods, the SSP126 scenario had the greatest influence on stormwater management, whereas, in the far period, the SSP585 scenario had the greatest influence. The far period had the greatest influence under three SSP-RCP scenarios. Under the combined influence of SSP-RCP scenarios and a time series, the SSP585-F scenario had the greatest impact. Specific costs could be used to achieve different and no stormwater-resource utilization effects through different configurations of the CGGI. This provided various construction ideas regarding CGGIs for areas with contamination-induced water shortages. Full article
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