Results 101 to 110 of about 3,769,150 (256)

Mapeamento de chuvas intensas no estado de Minas Gerais Mapping of heavy rainfalls in the state of Minas Gerais

Revista Brasileira de Ciência do Solo, 2013
Estudos associados a chuvas extremas são constituídos de eventos de interesse prático para a gestão dos recursos naturais, como manejo de bacias hidrográficas e conservação dos solos e da água.
Carlos Rogério de Mello, Marcelo Ribeiro Viola   +1 more
doaj  

Número de postos pluviométricos necessários para a estimativa da precipitação mensal no estado do Espírito Santo, Brasil Number of pluviometric gauges required for monthly rainfall estimate over the Espirito Santo state, Brazil

Revista Brasileira de Meteorologia, 2011
Os objetivos propostos nesse trabalho foram, determinar a distribuição espacial da precipitação pluvial média mensal no Estado, utilizando a altitude dos postos pluviométricos como co-variável e, determinar o número de postos necessários para mapear a ...
Samuel de Assis Silva, Julião Soares de Souza Lima   +1 more
doaj   +1 more source

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

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   +2 more sources

Constrained optimization in simulation: a novel approach. [PDF]

This paper presents a novel heuristic for constrained optimization of random computer simulation models, in which one of the simulation outputs is selected as the objective to be minimized while the other outputs need to satisfy prespeci¯ed target values.
Van Nieuwenhuyse, Inneke, van Beers, W., Kleijnen, J.P.C.   +2 more
core   +2 more sources

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  

Desempenho da co-krigagem na determinação da variabilidade de atributos do solo Co-kriging performance in the determination of variability of soil attributes

Revista Brasileira de Ciência do Solo, 2006
A agricultura de precisão requer princípios de manejo de acordo com a variabilidade no campo, exigindo técnicas eficientes para estimar e mapear a variabilidade espacial e, ou, temporal das características e propriedades dos solos.
João Carlos Angelico
doaj   +1 more source

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

Spatial Prediction of Soil Texture in Low-Relief Agricultural Areas Using Rice and Wheat Growth Information with Spatiotemporal Stability

Remote Sensing
In low-relief agricultural areas, crop cover makes it challenging to obtain remotely sensed bare soil spectral data for predicting soil texture. Therefore, this study proposed a method for predicting soil texture using crop growth information with ...
Fei Wang, Peiyu Zhang, Shaomei Chen, Tianyun Shao, Wenhao Lu, Zihan Fang, Changda Zhu, Feng Liu, Jianjun Pan   +8 more
doaj   +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