The evaluation and management of climate change impacts on natural and human systems required the adoption of a multi-risk perspective in which the effect of multiple stressors …
Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing …
Z Wu, Y Shen, H Wang, M Wu - Journal of Hydrology, 2020 - Elsevier
Expected increases in intensity and frequency of rainfall extremes due to climate change, and increased paving and loss of water storage space in urban areas is making cities more …
DP Viero, G Roder, B Matticchio, A Defina… - Science of the Total …, 2019 - Elsevier
It is widely recognized that the complex relationship between humans, soil, and water has become increasingly complicated due to anthropogenic activities, and is further expected to …
V Zwirglmaier, A Reimuth… - Environmental Research …, 2024 - iopscience.iop.org
Flood risk in urban areas will increase massively under future urbanization and climate change. Urban flood risk models have been increasingly applied to assess impacts of …
S Huang, H Wang, Y Xu, J She, J Huang - Land, 2021 - mdpi.com
Drivers of urban flood disaster risk may be related to many factors from nature and society. However, it is unclear how these factors affect each other and how they ultimately affect the …
K Guo, X Zhang, J Liu, Z Wu, M Chen, K Zhang… - Science of The Total …, 2020 - Elsevier
Ecological restoration of terrestrial ecosystems facilitates environmental protection and enhances sustainable development of land resources. With increasingly severe land …