Results 51 to 60 of about 43,507 (301)

Regional terrain-based V S30 prediction models for China

Earth, Planets and Space, 2023
Time-averaged shear-wave velocity to 30 m (V S30) is commonly used in ground motion models as a parameter for evaluating site effects. This study used a collection of boreholes in Beijing, Tianjin, Guangxi, Guangdong, and three other municipalities and ...
Yuting Zhang, Yefei Ren, Ruizhi Wen, Hongwei Wang, Kun Ji   +4 more
doaj   +1 more source

From Green Governance to Biodiversity Strategy: The Role of Environmentally Experienced Directors in Chinese Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang, Sultan Sikandar Mirza, Chengwei Zhang   +2 more
wiley   +1 more source

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

The late Quaternary activity of the Yadu Fault in Guizhou, China

Open Geosciences
The Yadu Fault (YDF), a critical component of the Yadu-Ziyun Fault system along the southwestern boundary of the South China block, plays a significant role in understanging regional deformation mechanism and kinematic characteristics. Through integrated
Ji Xingxing, Qiu Peng, Luo Yihao, Liu Hao, Zheng Yu, Mo Hongrong   +5 more
doaj   +1 more source

Shaking-Table Tests for Immersed Tunnels at Different Sites

Shock and Vibration, 2017
Immersed tunnels are typically built in areas subjected to ground motion. Therefore, an evaluation of the seismic performance of the soil-tunnel system is essential.
Xinjun Cheng, Liping Jing, Jie Cui, Yongqiang Li, Rui Dong   +4 more
doaj   +1 more source

Supply Chain Network, ESG Scores and Financial Performance

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper provides novel evidence on the role of supply chain networks in influencing firms' environmental, social and governance (ESG) scores and financial performance. Our analysis employs financial, board, ESG and supply chain data, resulting in an unbalanced panel of over 16,000 firm‐year observations from 3028 publicly traded US firms ...
Michail Filippidis, Renatas Kizys, Panagiotis Tzouvanas   +2 more
wiley   +1 more source

Real-time earthquake magnitude estimation via a deep learning network based on waveform and text mixed modal

Earth, Planets and Space
Rapid and accurate earthquake magnitude estimations are essential for earthquake early warning (EEW) systems. The distance information between the seismometers and the earthquake hypocenter can be important to the magnitude estimation. We designed a deep-
Baorui Hou, Yueyong Zhou, Shanyou Li, Yongxiang Wei, Jindong Song   +4 more
doaj   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data

Scientific Reports
Maximum drift ratio (MDR), one of the engineering demand parameters (EDPs), provides fundamental physical value for predicting building damage. Existing machine learning based prediction models mainly rely on numerical simulation data or structural ...
Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma   +5 more
doaj   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source