Results 71 to 80 of about 101,478 (344)

Stock Market Reactions to Climate Risk Events: A Systematic Literature Review and Research Agenda

Business Strategy and the Environment, EarlyView.
ABSTRACT As global warming intensifies, climate risks' impact on firm value has become a critical concern for academia and investors. This systematic literature review analyzes 50 event studies in this research field, classifying them by climate risk type.
Mario Schuster, Rainer Lueg
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

The missing woodland story: Implications of 1700 years of stand‐scale change on ‘naturalness’ and managing remnant broadleaved woodlands

People and Nature, EarlyView.
Abstract Longer‐term perspectives—equivalent to the lifespans of long‐lived trees—are required to fully inform perceptions of ‘naturalness’ used in woodland conservation and management. Stand‐scale dynamics of an old growth temperate woodland are reconstructed using palaeoecological data.
Annabel Everard, J. Edward Schofield, Tim Mighall, Scott Timpany, Gill Plunkett   +4 more
wiley   +1 more source

‘Should’ and ‘can’ active restoration be used in biodiversity offsets? Stakeholder perspectives from New South Wales, Australia

People and Nature, EarlyView.
Abstract Despite their controversial nature, biodiversity offsets are often used as a regulatory tool to counterbalance the impacts of land clearing on biodiversity. Offsets usually aim to achieve no net loss (NNL) of biodiversity through protection and/or restoration of habitat.
Laure‐Elise Ruoso, Roel Plant, Stephanie Hernandez, Josh Dorrough   +3 more
wiley   +1 more source

Mesoscale and microphysical processes leading to extreme hourly rainfall prior to the merger of two mesoscale convective systems in Central China

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Short‐term extreme rainfall can be produced by the variation of low‐level warm moist airflow during mesoscale convective systems (MCSs) approaching another. The cold outflow of the rapidly moving MCS intensifies the warm moist airflow in front, enhancing the convergence and ascending motion in the quasi‐stationary MCS.
Xiaoyu Gao, Yali Luo, Jinfang Yin, Chong Wu   +3 more
wiley   +1 more source

A review of the FATIMA Yellow Sea field campaign research

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The FATIMA marine fog project took place over the Sable Island region of eastern Canada (summer 2022) and the Yellow Sea of the Republic of Korea (ROK, summer 2023). Its goals are to improve marine fog monitoring and forecasting. Instrumented multiple research vessels, aircraft, tethered balloon and autonomous systems, ocean observation sites, and ...
Seok Lee, Ismail Gultepe, H. J. S. Fernando, Saša Gaberšek, Luc Lenain, Qing Wang, Edward D. Creegan, Eric Pardyjak, Clive Dorman, Lossif Lozovatsky, David G. Ortiz‐Suslow, Jesus Ruiz‐Plancarte, Ryan Yamaguchi, Eren Gultepe, S. Hoch, A. Perelet, D. Singh, Joo Wan Cha, Lian Shen, Anup Vaman Barve, Anne Dowling, Sen Wang, Gianina Giacosa, Laurent Grare, Peter Taylor, Zheqi Chen, Rachel Y.‐W. Chang, Piyush Teeloku, Nicholas Gapp, Seung‐Woo Lee, Jong‐Min Jeong, Hojin Kim, Jin‐Yong Jeong, Ki‐Young Heo, Minsang Kim, Myung‐Sook Park, Kyung‐Hee Oh, Joon‐Seong Park, Dong‐Chull Jeon, Kyu‐Min Song, Jae‐Yeob Kim, Dawoon Jung, Kyung‐Il Chang, Jae Hak Lee, Kyung Man Kim, Daehun Yu, Seong Soo Yum, Andrew J. Heymsfield, Martin Agelin‐Chaab, Tae‐Young Goo, Dong‐Gyun Ryu   +50 more
wiley   +1 more source

A Diagnosis Model of Typhoon-Related Post-Traumatic Stress Disorder Based on Fixel-Based Analysis in Machine Learning. [PDF]

Brain Behav
Fixel‐based analysis revealed discrete patterns of white‐matter disruption in typhoon‐related PTSD, particularly affecting the frontopontine, middle longitudinal, and thalamo‐premotor pathways. Integrating these tract‐specific signatures into machine‐learning models allowed robust discrimination between PTSD and trauma‐exposed controls, suggesting ...
Zhang Y, Chen H, Qi R, Ke J, Xu Q, Zhong Y, Zhang L, Lu G, Chen F.   +8 more
europepmc   +2 more sources

The Shifting Paradigms of Disaster Robotics Three Decades of Research

Journal of Field Robotics, EarlyView.
ABSTRACT The increasing frequency and magnitude of natural disasters worldwide have raised the demand for advanced robotic systems in disaster response. In this research, a comprehensive bibliometric analysis of 2,201 Web of Science database papers was investigate systematically global research trends, patterns and emerging frontiers in disaster ...
Qin Hu, Komagata Tomoko, Kanbara Sakiko, Ting Yu, Yan Jiang   +4 more
wiley   +1 more source

Long‐Term Morphodynamic Responses to Flood Diversion in the Lower Kano River, Japan

River Research and Applications, EarlyView.
ABSTRACT Fluvial morphodynamics—the interaction between water flow, sediment transport, and channel morphology—is a central concern in sustainable river management. However, the long‐term effects of flood diversion remain underexplored. This study investigated the decadal‐scale morphodynamic responses of the lower Kano River in Japan following the ...
Yuta Itsumi, Takeyoshi Chibana, Daisuke Harada, Menglu Qin, Satoshi Watanabe   +4 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source