Results 111 to 120 of about 24,137 (263)

The 2025 Kamchatka Earthquake and Tsunami: Cascading Impacts and Risks to Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT On July 29th, 2025, a large earthquake (Mw 8.8) occurred near the Kamchatka Peninsula. This event caused a tsunami that reached Japan's Pacific coast, even though the source was far away. In this study, we analyze the characteristics of earthquakes and tsunamis and discuss how they relate to the recurrence possibility and risk in Japan.
Ampan Laosunthara, An‐Chi Cheng, Yo Fukushima, Yoshinori Shigihara, Natt Leelawat, Anawat Suppasri, Fumihiko Imamura   +6 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Extreme rainfall events pulse substantial nutrients and sediments from terrestrial to nearshore coastal communities: a case study from French Polynesia. [PDF]

Sci Rep, 2020
Fong CR, Gaynus CJ, Carpenter RC.
europepmc   +1 more source

A Comprehensive Review of AI‐Powered Energy Systems

Energy Science &Engineering, EarlyView.
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo, Pedram Asef, Masoumeh Javadi, Mousa Marzband, Shady S. Refaat, Muhyaddin Rawa   +5 more
wiley   +1 more source

Rapid urbanization and more extreme rainfall events

Science Bulletin, 2020
openaire   +3 more sources

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Frequency Rather Than Intensity Drives Projected Changes of Rainfall Events in Brazil

Earth's Future
Extreme rainfall events are expected to intensify with global warming, posing significant challenges to both human and natural environments. Despite the importance of such assessments, they are unevenly widespread across the globe.
André S. Ballarin, Edson Wendland, Masoud Zaerpour, Shadi Hatami, Antônio A. Meira Neto, Simon Michael Papalexiou   +5 more
doaj   +1 more source

A Comprehensive Review on the Significance, Sources, and Applications of Virtual Water on Global Platform

Food Safety and Health, EarlyView.
A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik, Charu Rajpal, Vinay Kumar Pandey   +2 more
wiley   +1 more source

Neurolathyrism in Sub‐Saharan Africa—Assessing the Neurotoxic Risks of Lathyrus sativus Amid Drought and Food Security Challenges

Food Safety and Health, EarlyView.
Representation of grass pea consumption in drought‐stricken sub‐Saharan Africa sustains nutrition, but excess β‐ODAP exposure due to multiple reasons triggers neurolathyrism, a progressive neurotoxic disorder. ABSTRACT Neurolathyrism is a progressive motor neuron disease due to the consumption of Lathyrus sativus (grass pea) over long periods.
Biruk Demisse Ayalew, Muhammad Umar, Pakeezah Tabasum, Maria Qadri, Talha Farooq, Eskeatnaf Yosef Getachew, Zemichael Getu Alemayehu, Eden Haile Hagos, Hailemariam Shimelis Gebeyehu, Hanna Tsehay Abebe, Nuradin Abdi Ali, David Chinaecherem Innocent, Temesgen Mamo Sharew   +12 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source