Results 131 to 140 of about 20,932 (245)
Abstract Many global and regional climate models predict shifts in the frequency and magnitude of precipitation events. It is unclear how this transition will influence delta and wetland development. We address this knowledge gap via two reduced‐scale physical delta experiments: one with constant discharge and the other with variable discharge.
Jose R. Silvestre +5 more
wiley +1 more source
Improving short-term grade block models: alternative for correcting soft data
Short-term mining planning typically relies on samples obtained from channels or less-accurate sampling methods. The results may include larger sampling errors than those derived from diamond drill hole core samples.
Cristina da Paixão Araújo +2 more
doaj +1 more source
Imaging techniques like X‐ray microcomputed tomography and electron microscopy are integrated to understand the CO2 mineralization process at the pore‐scale. These techniques are used to characterise the reaction progression in basalt. They increase the reliability of reactive transport modeling and consequently improve the CO2 storage capacity ...
Faisal W. K. Khudhur +2 more
wiley +1 more source
Abstract Climate change, expanding human ignitions, and increased fuels from fire exclusion are driving increases in area burned and fire severity in dry conifer forests of the western United States. Increasing area burned is occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion.
C. A. Farris +7 more
wiley +1 more source
Optimization in Conceptual Design of a BWB UAV Using an Adaptive Kriging‐Based Surrogate Model
An adaptive Kriging‐based framework for Blended Wing Body UAV optimization is presented. The exploitation‐oriented strategy yields a 14.5% range improvement, while sensitivity analysis identifies fuel mass as the dominant parameter for efficient conceptual design. ABSTRACT To improve optimization efficiency in the conceptual design of Blended Wing Body
Xinshi Suo +3 more
wiley +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Strong warming trends have been identified across the Iberian Peninsula, particularly since the 1980s and across all seasons. Increases in minimum temperature dominate at low‐altitude urban stations (below 250 m), while the most pronounced maximum temperature trends occur at elevations above 1500 m, especially in summer.
David Corell +4 more
wiley +1 more source
A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato +6 more
wiley +1 more source
Mantle Transition Zone Topography in New Zealand From Teleseismic P $P$‐Wave Receiver Functions
Abstract The geology of New Zealand has been shaped by tectonic plate interactions driven by mantle convection over the past 60 million years, but the effects of these interactions on the transition to the lower mantle are not yet well understood. We analyze 10 years of teleseismic P $P$‐wave receiver functions using common conversion point stacking to
Quan Zhang +4 more
wiley +1 more source

