Results 151 to 160 of about 859 (275)

Multi‐scale flow analysis for scale‐aware urban canopy models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We found that scale‐aware models are necessary when numerical weather prediction models approach hectometric resolution, which is associated with a characteristic length‐scale of morphological heterogeneity. This morphology‐dependent length‐scale indicates that resolved and unresolved heterogeneity are equally important.
Jingzi Huang, Maarten van Reeuwijk
wiley   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Metrization of ordered topological spaces

, 1974
In 1969, Lutzer proved that a linearly ordered topological space with a Gδ-diagonal is metrizable. This appears to be the first work in the field of metrization of ordered topological spaces. Very little seems to have been done in this direction.
Colquhoun, Alan
core   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source

Experimental Study on Foci Development in Mortar Using Seawater and Sand. [PDF]

Materials (Basel), 2019
Wang Y, Zhang C, Wang J, Xu Y, Jin F, Wang Y, Yan Q, Liu T, Gan X, Xiong Z.   +9 more
europepmc   +1 more source

Restoring Lateral Connectivity to Anthropogenic Riverscapes: Six Lessons From Stage Zero

River Research and Applications, EarlyView.
ABSTRACT Centuries of river modification, particularly straightening and incision, have severely reduced lateral connectivity between rivers and their floodplains. As a result, Stage 0 riverscapes, characterised by high lateral connectivity (e.g., anastomosing or wetland riverscapes), are now rare in anthropogenic landscapes.
Richard J. Mason, Matthew F. Johnson, Ben Eardley, Matthew J. Hemsworth, Arnaud Foret, Luca Mao, Matt Parr, Alan Puttock, Richard E. Brazier   +8 more
wiley   +1 more source

Distinguishing Phylogenetic Level-2 Networks with Quartets and Inter-Taxon Quartet Distances. [PDF]

Bull Math Biol
Holtgrefe N, Allman ES, Baños H, van Iersel L, Moulton V, Rhodes JA, Wicke K.   +6 more
europepmc   +1 more source

A Multi‐Method Approach to Assessing Barrier Effectiveness in Preventing the Spread of Invasive Signal Crayfish (Pacifastacus leniusculus)

River Research and Applications, EarlyView.
ABSTRACT Relieving barriers and increasing free flowing rivers is a global imperative to restore habitat connectivity for migratory fish stocks. While reducing river fragmentation will certainly improve biodiversity, the spread of non‐native species throughout a river system may be facilitated as an inadvertent outcome.
Matthew Harwood, Andrew W. Bray, Karis A. Woolfenden, Paul D. Stebbing, Alison M. Dunn, Josie South   +5 more
wiley   +1 more source

Implementation of Geometry-Dependent Charge Flux into the Polarizable AMOEBA+ Potential. [PDF]

J Phys Chem Lett, 2020
Liu C, Piquemal JP, Ren P.
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source