Results 91 to 100 of about 14,433 (200)
Water Resources Research, Volume 62, Issue 4, April 2026.Abstract Sustainable rice cultivation is vital to meet global food demands, particularly in regions relying on groundwater for irrigation. Over‐pumping, however, can cause significant ground subsidence, threatening both infrastructure and agricultural sustainability.
Ya‐Lun S. Tsai, Xun‐Yan Liu
wiley +1 more source
AgronomyThe pronounced heterogeneity of high-Andean soils constitutes a critical constraint to the sustainable productivity of quinoa in southern Peru, where current yields (1.6 t ha−1) remain well below potential (>5 t ha−1).
Nestor Cuellar-Condori +8 more
doaj +1 more source
Ozone Risk Assessment and Mapping in the Alps Based on Data from Passive Samplers
The Scientific World Journal, 2002 Passive samplers (diffusion tubes with organic reagent, produced by Passam of Switzerland) were used in a sampling campaign for the detection of weekly mean ozone concentrations in 15 sites over a domain of 80 x 40 km on the southern side of the European
Cristina Mazzali +3 more
doaj +1 more source
Acque Sotterranee, 2017 The Italian law 152/2006 adopted the EU Water Framework Directive principles and delegated to the Regions the task of identifying areas subject to groundwater diffuse pollution.
Loris Colombo
doaj +1 more source
Empirical stationary correlations for semi-supervised learning on graphs
, 2010 In semi-supervised learning on graphs, response variables observed at one node are used to estimate missing values at other nodes. The methods exploit correlations between nearby nodes in the graph.
Dyer, Justin S., Owen, Art B., Xu, Ya
core +1 more source
Review of multi-fidelity models
Multi-fidelity models provide a framework for integrating computational models of varying complexity, allowing for accurate predictions while optimizing computational resources.
Fernández-Godino, M. Giselle
core +1 more source
Functional Kriging Uncertainty Assessment
, 2016 Geostatistical techniques for functional data were introduced by Goulard and Voltz (1993), but have only been developed recently. Several papers consider ordinary and universal kriging models to predict a curve at an unmonitored site under the assumption of a constant or longitude and latitude dependent mean or kriging with external drift, where scalar
IGNACCOLO, Rosaria +1 more
openaire +2 more sources
Uncertainty and sensitivity analysis of functional risk curves based on Gaussian processes
, 2016 A functional risk curve gives the probability of an undesirable event as a function of the value of a critical parameter of a considered physical system. In several applicative situations, this curve is built using phenomenological numerical models which
Gratiet, Loïc Le, Iooss, Bertrand
core
The influence of correlation functions on stochastic kriging metamodels [PDF]
Proceedings of the 2010 Winter Simulation Conference, 2010 Wei Xie, Barry L. Nelson, Jeremy Staum
openaire +1 more source
Metamodel-based importance sampling for structural reliability analysis
, 2011 Structural reliability methods aim at computing the probability of failure of systems with respect to some prescribed performance functions. In modern engineering such functions usually resort to running an expensive-to-evaluate computational model (e.g.
Deheeger, F., Dubourg, V., Sudret, B.
core +1 more source