Zobrazeno 1 - 10
of 192
pro vyhledávání: '"EarthArXiv|Engineering"'
Methane leakage from point sources in the oil and gas industry is a major contributor to global greenhouse gas emissions. The majority of such emissions come from a small fraction of ``super-emitting" sources. We evaluate the emission detection and q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8126d968c9b56599bad9ea326c34a81d
https://doi.org/10.31223/osf.io/bqktv
https://doi.org/10.31223/osf.io/bqktv
Autor:
Male, Frank, Jensen, Jerry
Reservoir characterization analysis resulting from incorrect applications of statistics can be found in the literature, particularly in applications where integration of various disciplines is needed. Here, we look at three misapplications of ordinar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f04267e35a4738e9a35bd9ac5f2bb9
https://doi.org/10.31223/osf.io/q7nw6
https://doi.org/10.31223/osf.io/q7nw6
Development and following commercial use of the airborne electromagnetic method based on natural fields in the audio-frequency band (AFMAG) started in late 50s of the last century. After several decades of the development downtime, limitations inhere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daa8c8dbc6c06fc390a402ad08f0698e
Autor:
Liang, Cunren, Fielding, Eric
Processing scanning synthetic aperture radar (ScanSAR) data using a stripmap processor, which is called full-aperture processing, has been the choice of many researchers. ScanSAR data are known to require very high azimuth coregistration precision wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50f5c02e66dc03be664d55b484f48a97
https://doi.org/10.31223/osf.io/7r4ag
https://doi.org/10.31223/osf.io/7r4ag
Autor:
Helen J. Reeves, William Murphy, Ioannis Vazaios, Audrey Ougier-Simonin, Mark Thomas, Anastasios Stavrou, James Woodman
Publikováno v:
Geotechnical and Geological Engineering
Thermo-mechanical loading can occur in numerous engineering geological environments, from both natural and anthropogenic sources. Different minerals and micro-defects in rock cause heterogeneity at a grain scale, affecting the mechanical and thermal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a5ff593adbd132a78802e12f3730a2c
https://doi.org/10.1007/s10706-021-01794-z
https://doi.org/10.1007/s10706-021-01794-z
Publikováno v:
IEEE Access, Vol 8, Pp 103395-103404 (2020)
Flooding management requires collecting real-time onsite information widely and rapidly. As an emerging data source, social media demonstrates an advantage of providing in-time, rich data in the format of texts and photos and can be used to improve f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af57a9c0d8a8f15be1c8926fd7f14e56
https://doi.org/10.1109/access.2020.2994187
https://doi.org/10.1109/access.2020.2994187
Publikováno v:
Climate, Vol 9, Iss 120, p 120 (2021)
Climate
Volume 9
Issue 7
Climate
Volume 9
Issue 7
Prediction of precipitation changes caused by global climate change is a practical and scientific problem of high complexity. To advance, we look at the record of all available rain gauges in Colombia and at the CHIRPS database to estimate trends in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4913a1d89586d2330633fba631aa3c5c
https://www.mdpi.com/2225-1154/9/7/120
https://www.mdpi.com/2225-1154/9/7/120
Publikováno v:
Environmental modelling and software. 119:258-274
The increasing impact of flooding urges more effective flood management strategies to guarantee sustainable ecosystem development. Recent catastrophes underline the importance of avoiding local flood management, but characterizing large scale basin w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f651b5bc0fa6c24ab80828b2073d9a0
http://hdl.handle.net/2115/82843
http://hdl.handle.net/2115/82843
Publikováno v:
MethodsX
MethodsX, Vol 6, Iss, Pp 2258-2280 (2019)
Noacco, V, Sarrazin, F, Pianosi, F & Wagener, T 2019, ' Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox ', MethodsX, vol. 6, pp. 2258-2280 . https://doi.org/10.1016/j.mex.2019.09.033
MethodsX, Vol 6, Iss, Pp 2258-2280 (2019)
Noacco, V, Sarrazin, F, Pianosi, F & Wagener, T 2019, ' Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox ', MethodsX, vol. 6, pp. 2258-2280 . https://doi.org/10.1016/j.mex.2019.09.033
Graphical abstract
Global Sensitivity Analysis (GSA) is a set of statistical techniques to investigate the effects of the uncertainty in the input factors of a mathematical model on the model’s outputs. The value of GSA for the construction, e
Global Sensitivity Analysis (GSA) is a set of statistical techniques to investigate the effects of the uncertainty in the input factors of a mathematical model on the model’s outputs. The value of GSA for the construction, e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bbfe25f68037b8e855dcea018d69e2
http://europepmc.org/articles/PMC6812336
http://europepmc.org/articles/PMC6812336
Publikováno v:
Hydrological Sciences Journal. 64:1056-1070
Prediction of flood quantiles at ungauged sites has been investigated using several nonparametric regression methods including: local regression based on regions of influence, neural networks and generalized additive models (GAM). These methods were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6c001a178ae6f42975ff74ce1eb7689
https://doi.org/10.1080/02626667.2019.1620952
https://doi.org/10.1080/02626667.2019.1620952