Results 41 to 50 of about 668,694 (294)
Framework of extreme flood risk management in the typhoon country region
Recently, flood damages have increased worldwide due to global warming and climate change. According to the Report of the Intergovernmental Panel on Climate Change (IPCC), extreme weather events such as heat wave, drought, and flood are expected to ...
Cho-Rong Kim
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Advances in flood forecasting have been constrained by the difficulty of estimating rainfall continuously over space, for catchment-, national- and continental-scale areas. This has had a concomitant impact on the choice of appropriate model formulations for given flood-forecasting applications. Whilst weather radar used in combination with raingauges –
Robert J. Moore +2 more
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Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha +7 more
wiley +1 more source
FLOOD FORECASTING METHOD BASIS AS FLOOD MONITORING PROGRESS OF MEKONG RIVER [PDF]
In this paper, used MODIS satellite image (MOD13) for monitoring the progress of flood in Mekong River Basin and testing the flood forecasting method for the Mekong Delta in flooding stage of 2015.
G. Chen, G. Chen, W. Ruan, J. Zhao
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Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
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Dhaka, one of the world’s fastest-growing megacities, faces severe urban flood risks driven by rapid urbanization, inadequate drainage infrastructure, and climate change–induced extreme weather.
Md. Shahadat Hossain +10 more
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Transformation and innovation of flood forecasting methods under a changing environment
Frequent flood disasters have long been a critical hidden danger for the Chinese nation. Driven by the combined effects of global climate change and human activities,China’s temperature rise rate exceeds the global average,and extreme short-duration ...
Jianyun ZHANG +5 more
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Mountain torrent disaster warning system is a significant non-engineering flood prevention measure for achieving the goals of flood prevention and disaster reduction in the related small rivers.
L.J. Zhang
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A comparison of nonlinear flood forecasting methods [PDF]
Two nonlinear models, nonlinear prediction (NLP) and artificial neural networks (ANN), are compared for multivariate flood forecasting. For NLP the calibration of the locally linear model is quite simple, while for ANN the validation and identification of the model can be cumbersome, mainly because of overfitting.
LAIO, FRANCESCO +3 more
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