Results 101 to 110 of about 5,604 (198)

Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Electrical resistivity tomography (ERT) is a subsurface imaging geophysical technique. Traditional ERT inversion methods, such as smoothness‐constrained least‐squares approaches, often suffer from discretization artifacts when reconstructing electrical resistivity from resistance measurements.
Yusen Yuan, Kenneth C. Carroll, Huichao Yin, Pushpa R. Dahal, Dale F. Rucker, Ahsan Jamil, Anderson Ward, Zachary Lepchitz, Dan Lu   +8 more
wiley   +1 more source

Vertical Hydraulic Gradients as Key Calibration Constraints in Regional Groundwater Models

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract In typical clastic sedimentary aquifer systems, interbedded coarse‐ and fine‐grained deposits impede vertical flow and promote horizontal flow. This effect, known as vertical anisotropy, is often underestimated in regional groundwater models, leading to overestimated vertical aquifer communication.
Yara M. Pasner, Graham E. Fogg, Thomas Harter, Helen E. Dahlke   +3 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Predicting Coral Cover Trends From Local to Broad Spatial Scales

Global Change Biology, Volume 32, Issue 8, August 2026.
We present an integrated framework to track coral cover trends across multiple spatial scales, ranging from a local scale of 5 km2 to a broad scale exceeding 5000 km2. Through use cases, we demonstrate the value of our spatio‐temporal prediction framework in generating new insights from monitoring data across varying spatial and temporal data ...
Julie Vercelloni, Murray Logan, Andrew Zammit‐Mangion, Matthew Sainsbury‐Dale, Britta Schaffelke, Kerrie Mengersen, Manuel González‐Rivero   +6 more
wiley   +1 more source

Enhancing reference evapotranspiration estimate using regression kriging in semi-arid climate

Journal of Hydrology: Regional Studies
Study region: Using weather data from 340 meteorological stations in Iran spanning 2011–2021, we conducted a comprehensive mapping of reference evapotranspiration (ET₀) across the country.
Mostafa Sadeghzadeh, Sepideh Karimi, Jalal Shiri, Essam Heggy, Changhyun Jun, Sayed M. Bateni   +5 more
doaj   +1 more source

Key sources of uncertainty in process‐based modeling of live fuel moisture content

New Phytologist, Volume 251, Issue 4, Page 1723-1737, August 2026.
Location of the selected live fuel moisture content (LFMC) sampling sites. Summary Process‐based models that mechanistically represent water‐carbon balances in the atmosphere‐soil–plant continuum are an attractive tool for monitoring live fuel moisture content (LFMC) dynamics, a key variable when assessing fire danger.
Rodrigo Balaguer‐Romano, Albert Sañé, Nicolas Martin‐StPaul, Julien Ruffault, Eva Gabriel, Xavier Castro, François Pimont, Xiangzhuo Liu, Arsène Druel, Sylvain Delzon, Miquel De Cáceres   +10 more
wiley   +1 more source

Seismic Risk of Critical Transport Systems: Sensitivity Analysis of the Campania Railway Network to Bradyseism's Features

Risk Analysis, Volume 46, Issue 8, August 2026.
ABSTRACT This study examines the impact of epistemic uncertainties on the seismic risk of a critical transport system, the Campania railway network, during the ongoing bradyseismic unrest at Campi Flegrei, south of Italy. Seismic risk is quantified as the length of the railway requiring post‐event inspection, an operational proxy for service disruption.
Raffaele De Risi, Francesco Pugliese, Jitendra Agarwal, Francisco Pinto   +3 more
wiley   +1 more source

Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging

Procedia Computer Science, 2022
Kaifeng Yang, Michael Affenzeller
openaire   +1 more source

Sediment transport and depositional hydrodynamics on the eastern Korean continental margin revealed by surface sediment granulometry

Sedimentology, Volume 73, Issue 5, Page 1469-1487, August 2026.
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim, Jang Jun Bahk, Haedo Baek, Jun Ho Jang, In Kwon Um, Dong Eun Lee   +5 more
wiley   +1 more source

PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION

, 2016
In the Gypsum Pole of Araripe, semiarid zone of Pernambuco, where is produces 97% of the plaster consumed in Brazil, a forest experiment with 1875 eucalyptus was cut off and all the trees were rigorously cubed by the Smalian method. The location of each tree was marked on a Cartesian plane, and a sample of 200 trees was removed by entirely random ...
Lundgren, Wellington Jorge Cavalcanti, Silva, José Antônio Aleixo da, Ferreira, Rinaldo Luiz Caraciolo   +2 more
openaire   +1 more source