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11 results for “tritium”
Cosmogenic tritium data modeled by MIROC5-iso
<p>This data set contains model values from 3 simulations produced with the isotope-enabled atmosphere GCM MIROC5-iso, in which tritium has been implemented. The simulations are for the period 1979-2018 and were performed with different natural tritium production rates. A complete description can be found in Cauquoin, A., Fourré, É., Landais, A., Okazaki, A., and Yoshimura, K.: Modeling natural tritium in precipitation and its dependence on decadal variations of solar activity using the atmospheric general circulation model MIROC5-iso, <em>J. Geophys. Res. Atmos.</em>, <strong>129</strong>, e2023JD039745, <a href="https://doi.org/10.1029/2023JD039745" target="_blank" rel="noopener">https://doi.org/10.1029/2023JD039745</a>, 2024.</p> <p>The 3 different simulations are:</p> <ul> <li>MB2009_3H_cte: with constant long-term average tritium production rate values over time from Masarik and Beer, 2009 (<a href="https://doi.org/10.1029/2008JD010557">https://doi.org/10.1029/2008JD010557</a>);</li> <li>CRAC_3H_cte: with constant long-term average production rate values over time from CRAC:3H model (<a href="https://doi.org/10.1029/2020JD033147">https://doi.org/10.1029/2020JD033147</a>);</li> <li>CRAC_3H_solar: with monthly mean tritium production rate variations from CRAC:3H model due to modulation of GCR by heliomagnetic and geomagnetic fields over time.</li> </ul> <p>The model data can be downloaded as netcdf files:</p> <ul> <li>*.197901-201812.monmean.TU_precip.nc: monthly mean tritium in precipitation over the period 1979-2018;</li> <li>*.200801-201812.timmean.TU_precip.nc: mean tritium in precipitation over the period 2008-2018;</li> <li>*.200801-201812.ymonmean.TU_precip.nc: multi-year monthly mean tritium in precipitation over the period 2008-2018;</li> <li>*.200801-201812.timmean.TU_q.nc: mean tritium in water vapor from 1000 to 10 hPa over the period 2008-2018;</li> <li>MIROC5-iso.197901-201812.monmean.precip.nc: monthly precipitation rate (mm/month) over the period 1979-2018 (same for the three simulations);</li> <li>MIROC5-iso.200801-201812.ymonmean.precip.nc: multi-year monthly precipitation rate (mm/month) over the period 2008-2018 (same for the three simulations);</li> <li>MIROC5-iso.200801-201812.timmean.precip.nc: mean precipitation rate (mm/month) over the period 2008-2018 (same for the three simulations);</li> <li>MIROC5-iso.200801-201812.timmean.q.nc: mean specific humidity (kg/kg) from 1000 to 10 hPa over the period 2008-2018;</li> <li>CRAC_3H_solar.197901-201812.monmean.fldmean.cosmo_HTO_prod.nc: average cosmogenic HTO production monthly variations over the period 1979-2018 according to CRAC_3H_solar simulation.</li> </ul>
Modeled tritium in precipitation from Fukushima Daiichi Nuclear Power Plant accident simulations with MIROC5-iso
<p>This data set contains modeled tritium in precipitation values from different simulations of Fukushima Daiichi Nuclear Power Plant (FDNPP) accident produced with MIROC5-iso. The simulations are for the period 2011-20121 and were with different anthropogenic tritium source functions. A complete description can be found in Cauquoin, A., Gusyev, M., Bong, H., Okazaki, A., and Yoshimura, K.: Modeling tritium release to the atmosphere during the Fukushima Daiichi Nuclear Power Plant accident and application to estimating post-accident water system transit times, <em>Environ. Sci. Pollut. Res.</em>, <a href="https://doi.org/10.1007/s11356-025-35919-1" target="_blank" rel="noopener">https://doi.org/10.1007/s11356-025-35919-1</a>, 2025. </p> <p>The simulations are named fukushima_accident_{jra55, era5}_total_gas_{div100, div200, div500, div1000}, with {jra55, era5} describing a nudging to JRA-55 or ERA5 reanalyses, and with {div100, div200, div500, div1000} describing the anthropogenic tritium input function used in DatasetS1_table_tritium_release_atm_fukushima_input.csv.</p> <p>The modeled values of tritium in Hiso river water, Minamisoma spring and artesian groundwater, calculated using MIROC5-iso tritium in monthly precipitation in Fukushima, scaled Tokyo GNIP data, and tritium measurements in preciptation at Fukushima as input of the TracerLPM model, are included too. </p> <p>The model data can be downloaded as netcdf, csv or xlsx files:</p> <ul> <li>*_daymean.prcpTU.nc: daily mean tritium in precipitation over the period 2011-2021, expressed in TU;</li> <li>*_monmean.prcpTU.nc: monthly mean tritium in precipitation over the period 2011-2021, expressed in TU;</li> <li>*_daymean.prcp.nc: daily precipitation over the period 2011-2021, expressed in mm/day;</li> <li>*_monmean.prcp.nc: monthly precipitation over the period 2011-2021, expressed in mm/month;</li> <li>*_prcp_daymean.remapnn.csv: daily precitation at nearest grid cells of Tsukuba, Kashiwa, Hongo, Yokosuka, Konan, and Misasa over the period 2011-2012, expressed in mm/day;</li> <li>*_prcp_monmean.remapnn.csv: montly mean precitation at nearest grid cells of Chiba, Niigata, and Fukushima over the period 2011-2021, expressed in mm/month;</li> <li>*_prcpTU_daymean.remapnn.csv: tritium in daily precitation at nearest grid cells of Tsukuba, Kashiwa, Hongo, Yokosuka, Konan, and Misasa over the period 2011-2012, expressed in TU;</li> <li>*_prcpTU_monmean.remapnn.csv: tritium in montly precitation at nearest grid cells of Chiba, Niigata, and Fukushima over the period 2011-2021, expressed in TU;</li> <li>DatasetS1_table_tritium_release_atm_fukushima_input.csv: Table of anthropogenic tritium daily release, based on reconstructed iodine-131 total gas emissions from <a href="https://doi.org/10.5194/acp-15-1029-2015" target="_blank" rel="noopener">Katata et al. (2015)</a>, used as inputs for MIROC5-iso.</li> <li>TracerLPM_fukushima_with_peak_jra55.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation div100 nudged to JRA-55 was used for constructing Cin(t).</li> <li>TracerLPM_fukushima_without_peak_jra55.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation ctrl nudged to JRA-55 (without FDNPP peak) was used for constructing Cin(t).</li> <li>TracerLPM_fukushima_with_peak_era5.xlsx: Tritium input function Cin(t) and tritium concentration in Hiso river water, Minamisoma spring and artesian groundwater modeled by TracerLPM. Simulation div100 nudged to ERA5 was used for constructing Cin(t).</li> </ul>
Data supplement to: Quality control of image sensors using gaseous tritium light sources
<p>In the article "Quality Control of Image Sensors using Gaseous Tritium Light Sources" (<a href="https://doi.org/10.1098/rsta.2021.0130)">https://doi.org/10.1098/rsta.2021.0130)</a> we propose a practical method for radiometrically calibrating cameras using widely available gaseous tritium light sources (<em>betalights</em>). This dataset includes all the recorded data along with the scripts necessary to reproduce the results and figures.</p>
Data and scripts belonging to "Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape"
<p>Data and scripts belonging to Kaandorp et al., 2021 "Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape". Hydrology and Earth System Sciences. </p>
Data supplement to: Quality control of image sensors using gaseous tritium light sources
Open the record for dataset details and reuse information.
McMurdo Dry Valleys Gas, Tritium, Stable Isotope, and Major Ion data for lake waters: 2005-2006 Antarctic Season
Data of dissolved gas, tritium, stable isotopes, and major ion for Lake Vanda (Wright Valley), Lake Fryxell (Taylor Valley), Lake Hoare (Taylor Valley), and Lake Joyce (Pearce Valley): 2005-2006 Antarctic Season
The nature and extent of bomb tritium remaining in deep vadose zones: A synthesis and prognosis
<p>Tritium present in deep vadose zones is a useful tracer for estimating groundwater recharge, but its full utility is constrained by not knowing where and for how long the tritium tracing method remains applicable. We obtained 44 tritium profiles from 17 globally distributed sites with vadose zone thicknesses of 13−624 m and used transport models to estimate the number of years that tritium may still be useful. Results show that the method may still be usable for 26 of 44 soil profiles surveyed, mainly in China, Australia, USA, South Africa, and Senegal, with a remaining useful period of between 6 and 83 years. We also developed a statistical model that uses outputs from a hydrological model to predict the applicability of the tritium tracing method. Global implementation of the statistical model showed that the method remains usable at 20% of Earth's land mass (excluding Antarctica and Greenland) over the next few decades.</p>
Scientific Improvement on Social Understanding of Tritium, Ten Years After the Fukushima Nuclear Accident
<p>The present work deals with a scientific improvement of social education or understanding on radioactive tritium by laypeople, which is even possible after ten years of Fukushima nuclear accident. This work is actually motivated since the normal way of tritium dilution into ocean within the standard regulatory concentration had been hampered firstly by Korean Government in May 2011. In addition, thereafter the tritium issue has become one of the difficult issues to solve urgently, but without any success until 2020. The answer was the huge number of storage tanks with tritium in water.</p> <p>The dialogue meetings between the fishermen and administrative stakeholders were repeatedly held, but without success to overcome the foreseen hoax or rumors leading to the social stigma. Heretofore, we have encountered once a hope for political decision in August 2020, when the new Cabinet was then elected. But unfortunately, the new Minister of the Ministry was unable to make a decision with a confidence, which must be actually a hard issue even as a tangible scientific knowledge. Actually no one has witnessed the generation of tritium.</p> <p>Scientific visualization with nuclear modeling of tritium generation, that is generated in atmospheric nuclear spallation reaction by cosmic rays, has been by no way sufficient until now. In order to overcome the above-mentioned social difficulty on educational facet of tritium as a tangible science, I have performed a Monte-Carlo simulation so as to reproduce the measured value of tritium concentration and its generation rate in the atmosphere. The result was in a reasonable agreement with the measurement. On top of this, according to this simulation, several new features were predicted with new observables on tritium generation. Once this prediction is confirmed by another experiment, the social trust on scientific knowledge on tritium will be shared with laypeople in society, not to mention the fishermen in Fukushima.</p> <p>In parallel, I have performed a pedagogical “Fermi estimate” on possible separation of tritium by a centrifuge apparatus, which is possible and rather easily demonstrated in laboratory. This proposal seems likewise effective to transform the elusive tritium into a tangible substance in an educational and scientific theory and experiment.</p> <p>In the present work, I concentrate on the educational aspect in illuminating the difficulty of tritium understanding as a social difficulty of radiation protection.</p>
The nature and extent of bomb tritium remaining in deep vadose zones: A synthesis and prognosis
Open the record for dataset details and reuse information.
Nitrate trend reversal in Dutch dual-permeability chalk springs, evaluated by tritium-based groundwater travel time distributions [Data set]
<p>Data set covering measured nitrate and sulfate data of 90 springs, the tritium and nitrate input data for the convolution models and the age distributions metrics for the base case model and the stringent denitrification model, which were described in the publication in Science of the Total Environment (2024); doi: <em>10.1016/j.scitotenv.2024.175250</em></p>
Insights into the modes of action of tritium on the early-life stages of zebrafish, Danio rerio, using transcriptomic and proteomic analyses
GEO Series GSE168194. Danio rerio. 12 samples. Type: Expression profiling by high throughput sequencing.
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