Results 81 to 90 of about 14,433 (200)
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma +4 more
wiley +1 more source
Controlled release fertilizers constitute a high-value segment of industrial crop products. However, their efficacy in sustainable agriculture relies heavily on functional integrity, which is often compromised by mechanical damage during application ...
Yangyang Kong +5 more
doaj +1 more source
This study analyzes the relationship between anthropogenic and environmental variables and ungulate diversity and biomass in Kenya's Mara Ecosystem. The results suggest that ungulate species richness peaks in pastoral landscapes with access to areas more than 3–4 km from settlements but decreases in the presence of sheep and goats.
Gundula S. Bartzke +15 more
wiley +1 more source
Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data
In the face of increasing climate-related impacts on coral reefs, the integration of ecosystem resilience into marine conservation planning has become a priority.
Stuart Phinn +4 more
doaj +1 more source
On ANOVA decompositions of kernels and Gaussian random field paths [PDF]
The FANOVA (or "Sobol'-Hoeffding") decomposition of multivariate functions has been used for high-dimensional model representation and global sensitivity analysis.
Durrande, Nicolas +4 more
core +2 more sources
GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
wiley +1 more source
Conformal prediction for functional Ordinary kriging
Functional Ordinary Kriging is the most widely used method to predict a curve at a given spatial point. However, uncertainty remains an open issue. In this article a distribution-free prediction method based on two different modulation functions and two conformity scores is proposed.
De Magistris, Anna +2 more
openaire +2 more sources
Abstract Submarine groundwater discharge (SGD) is a widely recognized pathway for nutrient transport to coastal systems. Prior studies overlook the unique biogeochemical signatures of different SGD pathways, neglecting their differences in biogeochemical transformations and spatiotemporal factors.
Júlia Rodriguez‐Puig +14 more
wiley +1 more source
Issues with the Smith-Wilson method
The objective of the present paper is to analyse various features of the Smith-Wilson method used for discounting under the EU regulation Solvency II, with special attention to hedging.
Lagerås, Andreas, Lindholm, Mathias
core +1 more source
Abstract While hydrology and meteorology influence floodplain wetland vegetation, their relative contributions and spatial patterns remain poorly quantified. Hydrological conditions, in particular, can be altered by anthropogenic activities such as damming.
Yang Liu +3 more
wiley +1 more source

