Wykaz publikacji wybranego autora

Monika Wasilewska-Błaszczyk, dr inż.

adiunkt

Wydział Geologii, Geofizyki i Ochrony Środowiska
WGGiOŚ-kgzig, Katedra Geologii Złożowej i Górniczej


  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / nauki o Ziemi i środowisku


  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / nauki o Ziemi i środowisku


[poprzednia klasyfikacja] obszar nauk przyrodniczych / dziedzina nauk o Ziemi / geologia


Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-0042-9782 orcid iD

ResearcherID: T-8405-2018

Scopus: 36118314800

PBN: 5e709207878c28a04738ed9a

OPI Nauka Polska

System Informacyjny AGH (SkOs)




1
  • Application of General Linear Models (GLM) to assess nodule abundance based on a photographic survey (Case Study from IOM area, Pacific Ocean)
2
  • Attempts to calculate the pseudo-anisotropy of elastic parameters of shales gas formations based on well logging data and their geostatistical analysis
3
  • Categorization of mineral resources based upon geostatistical estimation of the continuity of changes of resource parameters
4
  • Documentation of accompanying minerals on the example of limestones from the Bełchatów lignite deposit (central Poland)
5
  • Estimating the resources of polymetallic nodules in the Pacific on the basis of their genetic characteristics and geostatistical methods (Clarion-Clipperton zone, the Interoceanmetal area)
6
  • Estimation accuracy and classification of polymetallic nodule resources based on classical sampling supported by seafloor photography (Pacific Ocean, Clarion-Clipperton Fracture Zone, IOM Area)
7
  • Geochemical modeling of the $Cu-Ag$ deposits from the Lubin-Głogów Copper District (Poland) supported by lithological modeling
8
  • Geostatistical support for categorization of metal ore resources in Poland
9
  • Interpolation and sampling errors of the ash and sulphur contents in selected Polish bituminous coal deposit (Upper Silesian Coal Basin - USCB)
10
  • Possibilities and limitations of the use of seafloor photographs for estimating polymetallic nodule resources - case study from IOM area, Pacific Ocean
11
  • Problems of estimating the resources of accompanying elements: a case study from the $Cu-Ag$ Rudna Deposit (Legnica-Głogów Copper District, Poland)
12
  • Regression methods in predicting the abundance of nodules from seafloor images – a case study from the IOM area, Pacific Ocean
13
  • Reliability of contour maps of deposit parameters of bituminous coal seams (Upper Silesian Coal Basin, Southern Poland)
14
  • The accuracy of polymetallic nodule resources estimation in the Pacific in the interoceanmetal area based on samples collected using a box corer
15
  • The accuracy of the assessment of the volumetric density of Cu-Ag LGCD ore deposits and its effect on the valuation of mining production
16
  • The accuracy of the local assessment of the bulk density of copper-silver deposits in the Legnica-Głogów Copper District and its impact on the valuation of ore resource and mining production
17
  • The contouring accuracy of polymetallic Nodules ore fields in the interoceanmetal (IOM) area, east Pacific Ocean
18
  • The credibility of the extrapolation of resource parameters of the $Cu-Ag$ deposit on the basis of a 3D geochemical model (the Lubin-Głogów Copper District, Poland)
19
  • The methodology of defining geochemical domains in $Cu-Ag$ deposit (The Lubin-Głogów Copper district, Poland)
20
  • The variability of volumetric density of the selected individual lithological units in the $Cu-Ag$ deposit in the Lubin-Glogow copper district and its influence on the resources
21
  • Variability and accuracy of polymetallic Nodules abundance estimations in the IOM area – statistical and geostatistical approach
22
  • Variability and indirect method of cobalt abundance estimation in the polymetallic nodules, the INTEROCEANMETAL exploration area, Pacific Ocean
23
  • Variability anisotropy of mineral deposits parameters and its impact on resources estimation – a geostatistical approach