Results 221 to 230 of about 155,246 (311)

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo, Matthew Wilson, Marwan Katurji, Fernando J. Méndez, Cyprien Bosserelle, Emily Lane   +5 more
wiley   +1 more source

Study on the dynamic prediction and optimum regulation scheme of water resource carrying capacity in the yellow river basin. [PDF]

Sci Rep
Zhou K.
europepmc   +1 more source

Approximately Double Increase in Flood Risk Under a 1.5°C/2.0°C Warmer Climate Over the Huai River Basin, China

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Global warming increases the potential risks of hydrological extremes, such as extreme precipitation and flood. Limited attention has been given to the integrated effects of climate change, land‐use change, and socioeconomic advancement on flood risk under global warming of 1.5°C and 2.0°C threshold outlined in the Paris Agreement.
Guodong Bian, Jie Ma, Fuquan Peng, Jianyun Zhang, Guoqing Wang, Fei He, Weixin Li, Mingming Song   +7 more
wiley   +1 more source

Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin. [PDF]

Sensors (Basel)
Hou Y, Ma Y, Hou Z, Arif M, Li J, Ming X, Liu X, Xing Q.   +7 more
europepmc   +1 more source

Building‐Scale Flood Hazard Modelling for Risk Assessment of Cultural Heritage

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is among the most frequent natural hazards threatening cultural heritage sites, yet current flood hazard studies often operate at urban or regional scales. While building‐scale damage models exist, they generally rely on flood depth inputs from large‐scale inundation models, inputs that may fail to capture the internal complexity of ...
Chiara Arrighi, Claudia De Lucia, Fabio Castelli   +2 more
wiley   +1 more source

Distribution Pattern and Assembly Process of Fungal Communities Along Altitude Gradient in Sediments of the Yellow River Basin. [PDF]

J Fungi (Basel)
Fang K, Xu G, Chen X, Li J, Cheng Y, Cheng Y.   +5 more
europepmc   +1 more source

Terrestrial Runoff Divides the Central Arctic Ocean and Shapes the Biologically Relevant Marine Lightscape

Geophysical Research Letters, Volume 53, Issue 9, 16 May 2026.
Abstract The Arctic Ocean is undergoing drastic changes in its sea ice cover, but is also optically complex. Observations from summer 2022 across the western Eurasian Basin, show increased colored dissolved organic matter (CDOM) absorption from terrestrial‐derived runoff within the Transpolar Drift (TPD) in the Amundsen Basin, extending down to a depth
Håkon Sandven, David McKee, Rafael Gonçalves‐Araujo, Rüdiger Röttgers, Anders F. Opdal, Philipp Assmy, Mats A. Granskog   +6 more
wiley   +1 more source

Research on coordination mechanism between agricultural green and land ecosystem in Yellow River Basin. [PDF]

Sci Rep
Niu J, Mao C.
europepmc   +1 more source

Evaluation of Sediment Connectivity Indices to Improve the Prediction of the Spatiotemporal Variability of Sediment Yield for a Large River Basin (Wei River, China)

Land Degradation &Development, Volume 37, Issue 8, Page 3406-3417, 15 May 2026.
ABSTRACT Sediment connectivity between source areas and the main streams or local sinks is a complex and dynamic process, especially in large basins due to multiple heterogeneities and interactions between connectivity components. Sediment connectivity indices are promising tools to investigate sediment transport, especially in data‐scarce or large ...
Zhenni Wu, Jantiene E. M. Baartman, João Pedro Nunes, Manuel López‐Vicente   +3 more
wiley   +1 more source

Spatiotemporal coupling and regional differences analysis between agricultural land use efficiency and rural revitalization in the Yellow River Basin. [PDF]

Sci Rep
Liu S, Zhang H, Jiang G.
europepmc   +1 more source