Results 11 to 20 of about 1,579 (110)

Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Accurate prediction of surface‐level ozone concentrations is critical for air quality management and public health protection. This study develops a flexible spatiotemporal statistical modeling framework to predict daily mean O3 concentrations across Italy by integrating satellite‐derived ozone estimates with ground‐based observations and high‐
Abdollah Jalilian, Claudia Cappello, Monica Palma, Sandra De Iaco   +3 more
wiley   +1 more source

Focal‐Feature Regression Kriging

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
wiley   +1 more source

The impact of soil erosion on corn yields: A spatial regression analysis

Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract This study examines the impact of soil erosion on corn (Zea mays L.) yield across counties in the US Midwest. Using a novel county‐level panel dataset that includes information on water erosion and corn yield, we analyze the direct and spatial spillover effects of erosion using a spatial regression framework.
Le Chen, T. Edward Yu, Hannah Williams
wiley   +1 more source

A Step Toward Rainfall Erosivity Mapping Over Türkiye Using Kriging With External Drift

Hydrological Processes, Volume 40, Issue 3, March 2026.
This study maps rainfall erosivity (R factor) across Türkiye by integrating station‐based observations with satellite‐based precipitation data. The Modified Fournier Index (MFI) derived from CHIRPS was first validated against ground measurements and subsequently incorporated as auxiliary information within a kriging with external drift (KED) framework.
Sait Genar Yaldiz, Hayrullah Agaccioglu, Gert Verstraeten   +2 more
wiley   +1 more source

Quantifying Gas and Thermal Energy Emissions in an Active Geothermal Area: Insights From Le Biancane (Larderello Field, Italy)

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract The Larderello‐Travale area in the northern Apennines of Italy hosts the world's oldest exploited geothermal field. Its success lies primarily in the presence of an extraordinary geothermal resource housed in a large vapor‐dominated fractured reservoir that produces superheated steam.
D. Granieri, M. Cerminara, F. Mazzarini, R. Novellino, M. Trolese, E. Dallara, M. Lelli   +6 more
wiley   +1 more source

Global Bottomside Ionospheric Modeling Based on GNSS‐RO Observations From the Tianmu‐1 Constellation

Space Weather, Volume 24, Issue 3, March 2026.
Abstract Radio occultation (RO) observations provide a crucial means for estimating the global Vertical Bottomside Electron Content (VBEC) in the ionosphere. However, the limited number of low Earth orbit (LEO) satellites in existing RO missions restricts the capability for high‐precision reconstruction of global VBEC spatiotemporal variations.
Linghuo Jian, Xiaodong Ren, Yingchuan Yang, Xuan Le, Xiaohong Zhang   +4 more
wiley   +1 more source

Improving Heterogeneous Aquifer Characterization Using a Deep Learning‐Based Ensemble Smoother With a Hybrid Prior Strategy

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Accurate characterization of aquifer hydraulic properties is crucial for groundwater resource management and pollution control. Most traditional inverse methods for aquifer characterization rely on unbiased prior assumptions to make robust estimation; however, real‐world applications frequently involve biased priors that can significantly ...
Chenglong Cao, Jiangjiang Zhang, Fenghua You, Tongchao Nan, Jina Yin, Chunhui Lu   +5 more
wiley   +1 more source

Integrating Deep Learning and Distance‐Based Clustering to Optimize the Field Scale In Situ Uranium Leaching System in Heterogeneous Reservoirs

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract Utilization of the integrated simulation‐optimization models for supporting decisions of the in situ leaching (ISL) design of uranium (U) mining is often hampered by the physicochemical heterogeneity within the sandstone reservoirs. Nevertheless, the conventional way suffers from a high conceptual uncertainty due to almost ubiquitous ...
Wenjie Qiu, Dianguang Liu, Yun Yang, Jian Song, Weimin Que, Zhengbang Liu, Haicheng Weng, Jianfeng Wu, Jichun Wu   +8 more
wiley   +1 more source

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 632-649, March 2026.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

A Multi‐Conceptual Model Approach to Untangling the MADE Experiment

Groundwater, Volume 64, Issue 2, Page 130-147, March/April 2026.
Using the MADE experiment as a case, a multi‐conceptual model roadmap is proposed for holistic assessment of solute transport including uncertainty assessment. This process involves “back to basics” review of the original MADE reports, assessment of knowns and unknowns, and the development of a comprehensive sedimentological model for aquifer ...
Joost C. Herweijer, Steven C. Young, Phil Hayes, Okke Batelaan   +3 more
wiley   +1 more source