Results 91 to 100 of about 4,853,850 (241)

A New Approach to Transforming Airborne Electromagnetic Data into Models of Sediment Type

Groundwater, EarlyView.
A new methodology provides the relationship needed to transform electrical resistivity measurements from airborne electromagnetic surveys to sediment type. By accounting for the physics of the measurement and the quality of the driller's logs used in developing the transform, the method improves the accuracy of derived sediment type models.
Rebecca Prentice, Rosemary Knight, Peter Kitanidis   +2 more
wiley   +1 more source

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Application of Co-Kriging and Ordinary Kriging for Selecting Additional Well Locations

, 2022
This is a late posting of an old paper (year 2018, Colorado School of Mines)
openaire   +2 more sources

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

Groundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi, Claire Miller, Craig Alexander, Marnie Low, Luc Rock, Wayne Jones   +5 more
wiley   +1 more source

Comparing Interpolation Methods to Predict the Spatial Distribution of Soil Available Phosphorus in the Mollisol Watershed of Northeast China

Shuitu baochi yanjiu, 2021
To explore the optimal method of simulating the spatial pattern of available phosphorus(AP)in Mollisol watershed of Northeast China, semi-variance analysis, regression analysis and principal component analysis were combined, and eight interpolation ...
WANG Xueshan, SHEN Qingsong, GAO Fengjie, ZHANG Xingyi, ZHANG Shaoliang, WANG Li   +5 more
doaj  

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Scalable sparse co-Kriging for multi-fidelity data fusion: An application to aerodynamics

Reliability Engineering & System Safety
Multi-fidelity Kriging surrogate modeling combines data of varying accuracy, such as experimental tests and numerical simulations, to improve predictive performance. Autoregressive models are commonly used to capture correlations across fidelity levels, offering interpretability compared to purely data-driven approaches.
Castaño-Aguirre, Mauricio, López-Lopera, Andrés F., Bartoli, Nathalie, Massa, Franck, Lefebvre, Thierry   +4 more
openaire   +3 more sources

Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]

, 2013
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
Jean-Remi Masse, Benjamin Lamoureux, MECHBAL, Nazih, LAMOUREUX, Benjamin, MASSÉ, Jean-Rémi, Nazih Mechbal   +5 more
core   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Estimation of the Groundwater Level by using Combined Geostatistics with Artificial Neural Networks (Case Study: Shahrekord Plain) [PDF]

علوم و مهندسی آبیاری, 2013
One of the most basical issues in groundwater resources management is the estimation of water table from observation well network data. The purpose of this study is estimate the groundwater level using the combination algorithm of the geostatistics and ...
Reza Zamaniahmadmahmoodi, Alimohamad Akhondali, Hossein Samadiborojeni, Heydar Zareei   +3 more
doaj