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| http://dx.doi.org/10.1073/pnas.2113862119 | DOI Listing |
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- The Arctic and Antarctic regions are vital for Earth's climate, containing most of the planet's fresh water and ice, but changes there create uncertainties about climate change impacts like rising sea levels.
- As the Arctic warms significantly faster than the rest of the globe, it leads to unpredictable weather patterns, including colder winters in Eurasia.
- To address these challenges and promote understanding of polar science, a forum with leading Chinese experts has been organized to discuss these urgent issues.
Livelihood vulnerability household fishermen household due to climate change in Lampung Province, Indonesia.
PLoS One
December 2024
Research Center for Cooperative, Corporation and People's Economy, National Research and Innovation Agency, Jakarta, Indonesia.
The livelihood of small-scale fishers is highly dependent on marine resources and coastal areas while the condition of marine waters is increasingly unpredictable due to seasonal uncertainty and extreme weather due to climate variability. This condition has a negative impact on fish catches and the income of small-scale fishermen. The study results were obtained through interviews with respondents using a structured questionnaire.
View Article and Find Full Text PDFSelf-assembly by anti-repellent structures for programming particles with momentum.
Nat Commun
December 2024
Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
Self-assembled configurations are versatile for applications in which liquid-mediated phenomena are employed to ensure that static or mild physical interactions between assembling blocks take advantage of local energy minima. For granular materials, however, a particle's momentum in air leads to random collisions and the formation of disordered phases, eventually producing jammed configurations when densely packed. Therefore, unlike fluidic self-assembly, the self-assembly of dry particles typically lacks programmability based on density and ordering symmetry and has thus been limited in applications.
View Article and Find Full Text PDFOptimising Venturi flume oxygen transfer efficiency using uncertainty-aware decision trees.
Water Sci Technol
December 2024
Department of Civil Engineering, National Institute of Technology Kurukshetra, Haryana 136119, India.
This study optimizes standard oxygen transfer efficiency (SOTE) in Venturi flumes investigating the impact of key parameters such as discharge per unit width (), throat width (), throat length (), upstream entrance width (), and gauge readings ( and ). To achieve this, a comprehensive experimental dataset was analyzed using multiple linear regression (MLR), multiple nonlinear regression (MNLR), gradient boosting machine (GBM), extreme gradient boosting (XRT), random forest (RF), M5 (pruned and unpruned), random tree (RT), and reduced error pruning (REP). Model performance was evaluated based on key metrics: correlation coefficient (CC), root mean square error (RMSE), and mean absolute error (MAE).
View Article and Find Full Text PDFInnovative absolute probability approach for coastal vulnerability assessment due to sea level rise: Application in Tagus Estuary, Portugal.
Sci Total Environ
December 2024
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal. Electronic address:
In coastal urban areas highly susceptible to flooding, whether from sea level rise (SLR) or storms, it is crucial to assess the vulnerability and risks posed by extreme and frequent floods. Reliable estimates of extreme natural events' return periods rely on historical data or probabilistic models, requiring extensive and robust data. From climate-scenario-based or semi-empirical models, SLR projections are represented by a central estimate or the full domain cumulative density function (CDF), entailing uncertainties.
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