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First 1469 results for ” Simone Bucci”

  1. Rigorous test of the performance of shear-wave velocity correlations derived from CPT soundings: A case study for Groningen, the Netherlands

    An improved correlation between shear-wave velocity VS and cone penetration test (CPT) parameters...

    PP Kruiver, G de Lange, F Kloosterman, M Korff, J van Elk, D Doornhof | Status: published | Journal: Soil Dynamics and Earthquake Engineering | Volume: 140 | Year: 2021 | doi: 10.1016/j.soildyn.2020.106471

    Publication

  2. Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the groningen gas field, the netherlands, part 2: Application

    Recent developments in the densification of the seismic network covering the Groningen gas field ...

    B Dost, A Stiphout, D Kuehn, M Kortekaas, E Ruigrok, S Heimann | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: 110 | Year: 2020 | First page: 2112 | Last page: 2123 | doi: 10.1785/0120200076

    Publication

  3. Probabilistic moment tensor inversion for hydrocarbon-induced seismicity in the groningen gas field, the netherlands, part 1: Testing

    Since 1991, induced earthquakes have been observed and linked to gas production in the Groningen ...

    D Kuehn, S Heimann, M Isken, E Ruigrok, B Dost | Status: published | Journal: Bulletin of the Seismological Society of America | Volume: 110 | Year: 2020 | First page: 2095 | Last page: 2111 | doi: 10.1785/0120200099

    Publication

  4. Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations

    In this work, a ∼21-year global dataset from four different satellite sensors with a mid-morning ...

    AK Georgoulias, RJ van der A, P Stammes, KF Boersma, HJ Eskes | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 6269 | Last page: 6294 | doi: https://doi.org/10.5194/acp-19-6269-2019

    Publication

  5. Joint retrieval of the aerosol fine mode fraction and optical depth using MODIS spectral reflectance over northern and eastern China: Artificial neural network method

    The Fine Mode Fraction (FMF) of atmospheric aerosol is very important for environment and climate...

    X Chen, G de Leeuw, A Arola, S Liu, Y Liu, K Zhang | Status: published | Journal: Remote Sens. Environ. | Volume: 247 | Year: 2020 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1016/j.rse.2020.112006

    Publication