An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting
In recent years, the frequent occurrence of extreme rainstorms has been prone to causing urban flood disasters, directly affecting people's lives and property safety.
CHEN Zeming +5 more
doaj +2 more sources
Exploring a long short-term memory for mountain flood forecasting based on watershed-internal knowledge graph and large language model. [PDF]
Wang S, Xu O.
europepmc +1 more source
Stock Market Reactions to Climate Risk Events: A Systematic Literature Review and Research Agenda
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
Study on long short-term memory based on vector direction of flood process for flood forecasting. [PDF]
Xie T, Hu C, Liu C, Li W, Niu C, Li R.
europepmc +1 more source
Does Climate Risk Affect Employment Decisions? International Evidence
ABSTRACT This study investigates the effect of climate risk on corporate employment decisions. Using a large sample from 41 countries, we find a positive association between climate risk and underinvestment in labor, notably manifesting as excessive employee layoffs.
Claude Francoeur +3 more
wiley +1 more source
A data-driven global flood forecasting system for medium to large rivers. [PDF]
Palash W, Akanda AS, Islam S.
europepmc +1 more source
Does Stakeholder Pressure Promote Green Innovations and Performance of Agribusiness Companies?
ABSTRACT The sustainability of agribusiness companies is guided by multiple, sometimes paradoxical, interests. Green innovation is strategic for sustainable development; however, literature shows inconsistencies regarding its impact on environmental and economic‐financial performance.
Vanderlei dos Santos +4 more
wiley +1 more source
From data to action in flood forecasting leveraging graph neural networks and digital twin visualization. [PDF]
Roudbari NS +4 more
europepmc +1 more source
Climate Change Risk and Financial Stability: Implications for European Banking Institutions
ABSTRACT This study examines whether climate change risk weakens banking‐system stability in the European Union and assesses how renewable energy adoption and energy‐related taxation moderate this relationship. Using panel data for 27 EU countries from 2012 to 2022 and applying fixed‐effects OLS, two‐stage least squares (2SLS), and robust generalized ...
Md Yousuf Ali
wiley +1 more source
Deep learning for cross-region streamflow and flood forecasting at a global scale. [PDF]
Zhang B +10 more
europepmc +1 more source

