ALBERT

Description: This study predicts the subsurface temperature distribution of Germany's capital Berlin. For this purpose, a data-based lithosphere-scale 3D structural model is developed incorporating 21 individual geological units. This model shows a horizontal grid resolution of (500 x 500) m and provides the geometric base for two different approaches of 3D thermal simulations, (i) calculations of the steady-state purely conductive thermal field and (ii) simulations of coupled fluid flow and heat transport. The results point out fundamentally different structural and thermal configurations for potential geothermal target units. The top of the Triassic Middle Buntsandstein strongly varies in depth (159‑2,470 m below sea level) and predicted temperatures (15‑95°C), mostly because of the complex geometry of the underlying Permian Zechstein salt. The top of the sub-salt Sedimentary Rotliegend is rather flat (2,890‑3,785 m below sea level) and reveals temperatures of 85-139°C. The predicted 70°C-isotherm is located at depths of about 1,500‑2,200 m cutting the Middle Buntsandstein over large parts of Berlin. The 110°C‑isotherm at 2,900‑3,700 m depth widely crosscuts the Sedimentary Rotliegend. Groundwater flow results in subsurface cooling the extent of which is strongly controlled by the geometry and the distribution of the Tertiary Rupelian Clay. The cooling effect is strongest where this clay-rich aquitard is thinnest or missing thus facilitating deep reaching forced convective flow. The differences between the purely conductive and coupled models highlight the need for investigations of the complex interrelation of flow- and thermal fields to properly predict temperatures in sedimentary systems.

Description: A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) approximately 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for approximately 2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751588/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751588/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rietveld, Cornelius A -- Medland, Sarah E -- Derringer, Jaime -- Yang, Jian -- Esko, Tonu -- Martin, Nicolas W -- Westra, Harm-Jan -- Shakhbazov, Konstantin -- Abdellaoui, Abdel -- Agrawal, Arpana -- Albrecht, Eva -- Alizadeh, Behrooz Z -- Amin, Najaf -- Barnard, John -- Baumeister, Sebastian E -- Benke, Kelly S -- Bielak, Lawrence F -- Boatman, Jeffrey A -- Boyle, Patricia A -- Davies, Gail -- de Leeuw, Christiaan -- Eklund, Niina -- Evans, Daniel S -- Ferhmann, Rudolf -- Fischer, Krista -- Gieger, Christian -- Gjessing, Hakon K -- Hagg, Sara -- Harris, Jennifer R -- Hayward, Caroline -- Holzapfel, Christina -- Ibrahim-Verbaas, Carla A -- Ingelsson, Erik -- Jacobsson, Bo -- Joshi, Peter K -- Jugessur, Astanand -- Kaakinen, Marika -- Kanoni, Stavroula -- Karjalainen, Juha -- Kolcic, Ivana -- Kristiansson, Kati -- Kutalik, Zoltan -- Lahti, Jari -- Lee, Sang H -- Lin, Peng -- Lind, Penelope A -- Liu, Yongmei -- Lohman, Kurt -- Loitfelder, Marisa -- McMahon, George -- Vidal, Pedro Marques -- Meirelles, Osorio -- Milani, Lili -- Myhre, Ronny -- Nuotio, Marja-Liisa -- Oldmeadow, Christopher J -- Petrovic, Katja E -- Peyrot, Wouter J -- Polasek, Ozren -- Quaye, Lydia -- Reinmaa, Eva -- Rice, John P -- Rizzi, Thais S -- Schmidt, Helena -- Schmidt, Reinhold -- Smith, Albert V -- Smith, Jennifer A -- Tanaka, Toshiko -- Terracciano, Antonio -- van der Loos, Matthijs J H M -- Vitart, Veronique -- Volzke, Henry -- Wellmann, Jurgen -- Yu, Lei -- Zhao, Wei -- Allik, Juri -- Attia, John R -- Bandinelli, Stefania -- Bastardot, Francois -- Beauchamp, Jonathan -- Bennett, David A -- Berger, Klaus -- Bierut, Laura J -- Boomsma, Dorret I -- Bultmann, Ute -- Campbell, Harry -- Chabris, Christopher F -- Cherkas, Lynn -- Chung, Mina K -- Cucca, Francesco -- de Andrade, Mariza -- De Jager, Philip L -- De Neve, Jan-Emmanuel -- Deary, Ian J -- Dedoussis, George V -- Deloukas, Panos -- Dimitriou, Maria -- Eiriksdottir, Guethny -- Elderson, Martin F -- Eriksson, Johan G -- Evans, David M -- Faul, Jessica D -- Ferrucci, Luigi -- Garcia, Melissa E -- Gronberg, Henrik -- Guethnason, Vilmundur -- Hall, Per -- Harris, Juliette M -- Harris, Tamara B -- Hastie, Nicholas D -- Heath, Andrew C -- Hernandez, Dena G -- Hoffmann, Wolfgang -- Hofman, Adriaan -- Holle, Rolf -- Holliday, Elizabeth G -- Hottenga, Jouke-Jan -- Iacono, William G -- Illig, Thomas -- Jarvelin, Marjo-Riitta -- Kahonen, Mika -- Kaprio, Jaakko -- Kirkpatrick, Robert M -- Kowgier, Matthew -- Latvala, Antti -- Launer, Lenore J -- Lawlor, Debbie A -- Lehtimaki, Terho -- Li, Jingmei -- Lichtenstein, Paul -- Lichtner, Peter -- Liewald, David C -- Madden, Pamela A -- Magnusson, Patrik K E -- Makinen, Tomi E -- Masala, Marco -- McGue, Matt -- Metspalu, Andres -- Mielck, Andreas -- Miller, Michael B -- Montgomery, Grant W -- Mukherjee, Sutapa -- Nyholt, Dale R -- Oostra, Ben A -- Palmer, Lyle J -- Palotie, Aarno -- Penninx, Brenda W J H -- Perola, Markus -- Peyser, Patricia A -- Preisig, Martin -- Raikkonen, Katri -- Raitakari, Olli T -- Realo, Anu -- Ring, Susan M -- Ripatti, Samuli -- Rivadeneira, Fernando -- Rudan, Igor -- Rustichini, Aldo -- Salomaa, Veikko -- Sarin, Antti-Pekka -- Schlessinger, David -- Scott, Rodney J -- Snieder, Harold -- St Pourcain, Beate -- Starr, John M -- Sul, Jae Hoon -- Surakka, Ida -- Svento, Rauli -- Teumer, Alexander -- LifeLines Cohort Study -- Tiemeier, Henning -- van Rooij, Frank J A -- Van Wagoner, David R -- Vartiainen, Erkki -- Viikari, Jorma -- Vollenweider, Peter -- Vonk, Judith M -- Waeber, Gerard -- Weir, David R -- Wichmann, H-Erich -- Widen, Elisabeth -- Willemsen, Gonneke -- Wilson, James F -- Wright, Alan F -- Conley, Dalton -- Davey-Smith, George -- Franke, Lude -- Groenen, Patrick J F -- Hofman, Albert -- Johannesson, Magnus -- Kardia, Sharon L R -- Krueger, Robert F -- Laibson, David -- Martin, Nicholas G -- Meyer, Michelle N -- Posthuma, Danielle -- Thurik, A Roy -- Timpson, Nicholas J -- Uitterlinden, Andre G -- van Duijn, Cornelia M -- Visscher, Peter M -- Benjamin, Daniel J -- Cesarini, David -- Koellinger, Philipp D -- AA09367/AA/NIAAA NIH HHS/ -- AA11886/AA/NIAAA NIH HHS/ -- BB/F019394/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- CZB/4/710/Chief Scientist Office/United Kingdom -- DA024417/DA/NIDA NIH HHS/ -- DA029377/DA/NIDA NIH HHS/ -- DA05147/DA/NIDA NIH HHS/ -- DA13240/DA/NIDA NIH HHS/ -- ETM/55/Chief Scientist Office/United Kingdom -- F31 DA029377/DA/NIDA NIH HHS/ -- G0600705/Medical Research Council/United Kingdom -- G0700704/Medical Research Council/United Kingdom -- G9815508/Medical Research Council/United Kingdom -- K05 AA017688/AA/NIAAA NIH HHS/ -- MC_PC_U127561128/Medical Research Council/United Kingdom -- MC_UU_12013/1/Medical Research Council/United Kingdom -- MC_UU_12013/3/Medical Research Council/United Kingdom -- MC_UU_12013/5/Medical Research Council/United Kingdom -- MH016880/MH/NIMH NIH HHS/ -- MH066140/MH/NIMH NIH HHS/ -- MR/K026992/1/Medical Research Council/United Kingdom -- P01 AG005842/AG/NIA NIH HHS/ -- P01 CA089392/CA/NCI NIH HHS/ -- P01 GM099568/GM/NIGMS NIH HHS/ -- P01-AG005842/AG/NIA NIH HHS/ -- P01-AG005842-20S2/AG/NIA NIH HHS/ -- P30 AG012810/AG/NIA NIH HHS/ -- P30-AG012810/AG/NIA NIH HHS/ -- R01 AA009367/AA/NIAAA NIH HHS/ -- R01 AA011886/AA/NIAAA NIH HHS/ -- R01 DA013240/DA/NIDA NIH HHS/ -- R01 HL090620/HL/NHLBI NIH HHS/ -- R01 HL105756/HL/NHLBI NIH HHS/ -- R01 HL111314/HL/NHLBI NIH HHS/ -- R01 MH066140/MH/NIMH NIH HHS/ -- R37 DA005147/DA/NIDA NIH HHS/ -- T32 AG000186/AG/NIA NIH HHS/ -- T32 MH016880/MH/NIMH NIH HHS/ -- T32-AG000186-23/AG/NIA NIH HHS/ -- U01 AG009740/AG/NIA NIH HHS/ -- U01 DA024417/DA/NIDA NIH HHS/ -- Z01 AG001050-01/Intramural NIH HHS/ -- ZIA AG000196-03/Intramural NIH HHS/ -- ZIA AG000196-04/Intramural NIH HHS/ -- New York, N.Y. -- Science. 2013 Jun 21;340(6139):1467-71. doi: 10.1126/science.1235488. Epub 2013 May 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23722424" target="_blank"〉PubMed〈/a〉

Description: Since its first application on Sumatra-Andaman earthquake, back-projection analysis has been widely exploited to infer the time-evolution of the rupture fronts of mega-earthquakes. In this technique, selected seismic phases recorded at teleseismic distances by a network of sensors are shifted according to a possible source position and a velocity model, and a multichannel version of the cross-correlation function is estimated. In this way, the time dependent map of the seismic energy emission in the source area can be inferred. We have back-projected the mainshock of Maule earthquake (Mw 8.8), which nucleated on 27/02/2010 in central Chile and is one of the largest earthquakes recorded in modern times. We have analyzed P phases filtered in the frequency range (0.4-3) Hz recorded by three seismic arrays located in US, Africa and Antarctica. Relative time shifts between sensors (inferred by maximizing the cross-correlation function) have been estimated with respect to a 1D global velocity model (ak135) and have been refined introducing two corrections, a static correction anda dynamic correction. The former is the time shift induced by local effects in the sensor area, whereas the latter is the correction associated with the source-sensor path and is mostly affected by medium properties in the source area. We have inferred these two corrections by analyzing the waveforms of 23 aftershocks and foreshocks with high magnitude (〉5.3). In detail, static correction was chosen as the mean time shift averaged over all the events recorded by one station, while dynamic correction was the remaining part of the travel time after removing the 1Dmodel travel time and the static correction. Moreover, dynamic corrections (and hence the complete travel times)have been interpolated over all the source area by Kriging, a spatial interpolation method. Results show that high-frequency seismic energy emission mostly occurs along the coastline with a general northward migration during the event. Specifically, in the first minute of the rupture process, the energy emission occurs southerly from or close to the epicenter. Afterwards, seismic emission moves northwards, with a gap with respect to the first emission zone, and a further northward migration occurs till the end of emission. Both the spatial gap of seismic emission and the northward migration are in line with the results of other studies in the same area, whereas we find a shallower emission area and different emission features in the zone close to the epicenter. Results for different frequency bands and the analysis of secondary maxima of energy emission are being investigated. In particular, we are shifting towards higher frequencies looking at the frequency bands (1-4) Hz and (2-8) Hz. The former band displays an emission pattern similar to that of (0.4-3) Hz, but with a sharper gap of about 50 Km; the latter band hows coherent arrivals only during the first 80 s, with a clear energy emission south of the epicenter at the onset of the event and preserving the northward migration afterwards.

Description: Temperature is one of the main parameters influencing the properties of CO2 during storage in saline aquifers since it along with pressure and co-constituents controls the phase behavior of the CO2/brine mixture. When the CO2 replaces brine as a free gas it is well known to affect the elastic properties of porous media considerably. In order to track the migration of geologically stored CO2 at the Ketzin site, 3D time-lapse seismic data were acquired by means of a baseline (pre-injection) survey in autumn 2005 and a first monitor survey in autumn 2009. During this period the temperature in the storage reservoir near the injection well was observed to have increased from 34 °C to 38 °C. This temperature increase led us to investigate the potential impact of temperature on the seismic response to the CO2 injection and on the CO2 mass estimations based on the Ketzin 4D seismic data. Two temperature scenarios in the reservoir (34 °C and 38 °C) were studied using multiphase fluid flow modeling. The simulations show that the impact of temperature on the seismic response is minor, but that the impact of the temperature on the CO2 mass estimations is significant and can, with the help of the multiphase fluid flow simulations, be explained mostly by the impact on the density of the CO2.