Results 91 to 100 of about 5,604 (198)

Geostatistical Modelling and Web‐Based Mapping of Malaria Risks Among Children Under Five Years in Nigeria: Evidence From the 2021 Nigeria Malaria Indicator Survey

Health Science Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background Malaria is a critical public health concern in Nigeria with the country bearing an uneven burden of the disease. In Nigeria, malaria is one of the main causes of child mortality and despite all efforts to reduce malaria mortality rates, the disease remains a major concern, notably among children under‐fives.
Justice Moses K. Aheto, Bakare Emmanuel Afolabi, Dolapo O. Oniyelu, Deborah O. Daniel, Steven I. Ikediashi, Oluwaseun A. Mogbojuri, Ronke D. Olorunfemi, Sodiq A. Orogun, Afeez Abidemi, Idowu I. Olasupo, Samuel A. Osikoya, Samuel A. Adeyemi, Hapiness O. Ismail, Isaac Bakare, Samson O. Olagbami, Dolapo A. Bakare, Baiyeri Samuel, Temitayo V. Irewole, Oluwafunmilayo O. Olapade, Oluwafolakemi Odunola, Oghenekevwe R. Ajewole, Joshua P. Ojo, Segun Oyedeji, Wisdom Takramah   +23 more
wiley   +1 more source

Climate‐Induced Severe Water Scarcity Events as Harbingers of Global Wheat Price

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract This study connects the dots between global extent of severe water scarcity (SWS) events and spikes in food price. The authors start with three staple crops (rice, wheat, and maize) using a empirical but crop specific characterization of severe water scarcity occurrence, which is defined based on the area of land cultivated with each studied ...
Miroslav Trnka, Jan Meitner, Jan Balek, Song Feng, Juliana Arbelaez Gaviria, Milan Fischer, Esther Boere, Petr Havlík, Kurt‐Christian Kersebaum, Claas Nendel, Margarita Ruiz‐Ramos, Daniela Semerádová, Mikhail A. Semenov, Markéta Poděbradská, Jan Esper, Ulf Büntgen, Max Torbenson, Jáchym Brzezina, Zdeněk Žalud, Gabriel Katul, Jørgen E. Olesen   +20 more
wiley   +1 more source

Soil Carbon Stock and Particle Size Fractions in the Central Amazon Predicted from Remotely Sensed Relief, Multispectral and Radar Data

Remote Sensing, 2017
Soils from the remote areas of the Amazon Rainforest in Brazil are poorly mapped due to the presence of dense forest and lack of access routes. The use of covariates derived from multispectral and radar remote sensors allows mapping large areas and has ...
Marcos B. Ceddia, Andréa S. Gomes, Gustavo M. Vasques, Érika F. M. Pinheiro   +3 more
doaj   +1 more source

Bathymetry Prediction With SWOT Gravity Anomaly Using Machine Learning Methods: Paper 1–Model Development

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Only one quarter of the global ocean floor has been directly surveyed; the remaining three quarters are inferred from satellite altimeter‐derived gravity data using techniques developed in the 1990s. These classical methods correlate gravity anomalies with known depths and extrapolate bathymetry in unsounded regions.
David Sandwell, Benjamin J. Phrampus, Farshad Salajegheh, Bjarke Nilsson, Biao Lu, Yao Yu, Hugh Harper, Ole B. Andersen, Walter Smith, Paul Elmore, Jonathan Kirby, James Beale, Jamie Roberts, Luis Altamirano   +13 more
wiley   +1 more source

Subsurface Structure and Morphometry of the Wrinkle Ridges in the Late Amazonian Volcanic Unit on Mars

Journal of Geophysical Research: Planets, Volume 131, Issue 8, August 2026.
Abstract Wrinkle ridges are widespread compressional tectonic features on Mars and are important records of the planet's global contractional history. However, their formation, evolution and subsequent modification by other geologic processes remain poorly constrained.
Jianfei Liu, Lu Pan
wiley   +1 more source

Analysis of Arsenic, Cadmium, Chromium, and Lead Levels: Interplay of Climate, Soil, and Human Factors in Urban Gardens

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 8, August 2026.
Abstract Understanding the spatial distribution of heavy metals in urban gardens is essential for mitigating contamination risks and supporting safe urban agriculture. This study examines factors influencing heavy metal concentrations in garden soil across San Antonio, Dallas, and Houston.
Leah Kocian, Binayak P. Mohanty, Azita Sharif   +2 more
wiley   +1 more source

iS‐GNN: Interpolation of Crustal Stress Maps Using a Graph Neural Network Model

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Estimating the orientation of the maximum horizontal stress (SHmax) from sparse and unevenly distributed geophysical observations remains a persistent challenge in tectonic and geomechanical stress studies. Classical interpolation methods often neglect the multiscale tectonic–geological heterogeneity of the crust, leading to biased estimates ...
Kwame A. Gyamfi, Michele M. C. Carafa
wiley   +1 more source

Spatial Modelling of Soil Quality and Lime Requirement for Precision Management in Humid Tropical Coffee Systems

AgriEngineering
Soil heterogeneity and acidity are major constraints to Coffea arabica production in the Amazonian soils of Peru. This study developed a spatial predictive framework that integrates a weighted Soil Quality Index (SQIw) and geostatistical modelling ...
Henry Diaz-Chuquizuta, Sharon Mejia, Ruth Mercado, Michell K. Arroyo-Julca, Ruddy Ore, Percy Diaz-Chuquizuta, Luis Fernando Manrique Gonzales, Martín Sánchez-Ojanasta, Kenyi Quispe   +8 more
doaj   +1 more source

Ensemble‐Based Parameter Estimation for an Unconfined Groundwater Model of a Small Island Considering Tidal Overheight

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Tidal influences are rarely considered in parameter estimation procedures for coastal groundwater flow models. Yet, considering tides adds to the already high computational burden associated with such models due to the presence of density‐dependent flow.
Patrick Haehnel, Janek Greskowiak, Helge Bormann, Gudrun Massmann   +3 more
wiley   +1 more source

From Resistivity to Hydraulic Properties: Calibrating a Groundwater Flow Model by Integrating Airborne Electromagnetic and Borehole Data Into a Probabilistic Multi‐Texture Framework

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
wiley   +1 more source