Pub Date : 2025-10-22DOI: 10.1016/j.jenvrad.2025.107833
Wenyu Cheng , Jie Liang , Lianji Wang , Yingchao Liang , Songjie Shi , Liangzhou Zou , Jun Yang , Zhirong Guo
Real-time monitoring of tritium in water is critical for nuclear safety, yet current liquid scintillation techniques are limited by poor portability and delayed results. Existing online detectors exhibit limited sensitivity (>103 Bq L−1), insufficient for regulatory limits (100 Bq L−1). In this study, we present the design and simulation-based optimization of an online plastic scintillation fiber (PSF) array detector for tritium detection, using Geant4-based Monte Carlo (MC) simulation. Key parameters (PSF spacing: 0.1–1 mm, length: 50–500 mm, radius: 0.2–0.5 mm) were investigated to maximize detection efficiency. Environmental background from gamma and cosmic muons was suppressed by a combined 2 cm lead (Pb) shielding and low-energy signal filtering, achieving 94 % background reduction. A hexagonal close-packed PSF array with 0.3 mm spacing and 250 mm length achieved balanced photon deposition. Silicon photomultipliers (SiPMs) were evaluated as a replacement for traditional photomultiplier tubes (PMTs), offering a higher photon detection efficiency (0.5 vs. 0.2) and reducing optical crosstalk by 27 % (3.3 % vs. 4.5 %). A modular 3 × 3 detector array (500 mm PSF length) achieved a minimum detectable activity (MDA) of 10 Bq L−1 within 600 s of acquisition time, meeting Chinese (GB 6249-2011) and European (2013/51/Euratom) standards. This study demonstrates the feasibility of a compact, field-deployable PSF-based detector for real-time tritium monitoring., high-sensitivity tritium monitoring capability, resolving the critical gap between laboratory methods and regulatory requirements.
实时监测水中氚对核安全至关重要,但目前的液体闪烁技术受到便携性差和结果延迟的限制。现有的在线检测器具有有限的灵敏度(bbb103bq -1),不足以满足法规限制(100bq -1)。在这项研究中,我们利用基于geant4的蒙特卡罗(MC)模拟,设计和优化了用于氚检测的在线塑料闪烁光纤(PSF)阵列探测器。关键参数(PSF间距:0.1-1 mm,长度:50-500 mm,半径:0.2-0.5 mm)进行研究,以最大限度地提高检测效率。来自伽马和宇宙μ子的环境背景被2厘米铅(Pb)屏蔽和低能信号滤波抑制,达到94%的背景降低。采用间距为0.3 mm、长度为250 mm的六边形紧密排列的PSF阵列实现了光子的平衡沉积。硅光电倍增管(SiPMs)被评估为传统光电倍增管(pmt)的替代品,提供更高的光子探测效率(0.5 vs. 0.2),并将光串扰减少27% (3.3% vs. 4.5%)。模块化3 × 3探测器阵列(500 mm PSF长度)在600秒的采集时间内实现了10 Bq L-1的最小可检测活性(MDA),满足中国(GB 6249-2011)和欧洲(2013/51/Euratom)标准。该研究证明了一种紧凑的、可现场部署的基于psf的实时氚监测探测器的可行性。,高灵敏度的氚监测能力,解决了实验室方法与监管要求之间的关键差距。
{"title":"Optimized simulation research of a plastic scintillation fiber array tritium detector in water","authors":"Wenyu Cheng , Jie Liang , Lianji Wang , Yingchao Liang , Songjie Shi , Liangzhou Zou , Jun Yang , Zhirong Guo","doi":"10.1016/j.jenvrad.2025.107833","DOIUrl":"10.1016/j.jenvrad.2025.107833","url":null,"abstract":"<div><div>Real-time monitoring of tritium in water is critical for nuclear safety, yet current liquid scintillation techniques are limited by poor portability and delayed results. Existing online detectors exhibit limited sensitivity (>10<sup>3</sup> Bq L<sup>−1</sup>), insufficient for regulatory limits (100 Bq L<sup>−1</sup>). In this study, we present the design and simulation-based optimization of an online plastic scintillation fiber (PSF) array detector for tritium detection, using Geant4-based Monte Carlo (MC) simulation. Key parameters (PSF spacing: 0.1–1 mm, length: 50–500 mm, radius: 0.2–0.5 mm) were investigated to maximize detection efficiency. Environmental background from gamma and cosmic muons was suppressed by a combined 2 cm lead (Pb) shielding and low-energy signal filtering, achieving 94 % background reduction. A hexagonal close-packed PSF array with 0.3 mm spacing and 250 mm length achieved balanced photon deposition. Silicon photomultipliers (SiPMs) were evaluated as a replacement for traditional photomultiplier tubes (PMTs), offering a higher photon detection efficiency (0.5 vs. 0.2) and reducing optical crosstalk by 27 % (3.3 % vs. 4.5 %). A modular 3 × 3 detector array (500 mm PSF length) achieved a minimum detectable activity (MDA) of 10 Bq L<sup>−1</sup> within 600 s of acquisition time, meeting Chinese (GB 6249-2011) and European (2013/51/Euratom) standards. This study demonstrates the feasibility of a compact, field-deployable PSF-based detector for real-time tritium monitoring., high-sensitivity tritium monitoring capability, resolving the critical gap between laboratory methods and regulatory requirements.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107833"},"PeriodicalIF":2.1,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145354925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Radon (Rn-222) released by the decay of Ra-226 in uranium ores may cause potential radiation risks in the water environment. However, the migration behaviour characterised by the low diffusion coefficient of radon in water and the slow change in concentration is still lacking systematic research. This study investigates the radon release behavior of uranium ore in water under different temperature conditions (20–32 °C). A closed-loop measurement system combined with a bubbling method was established, utilizing a RAD7 radon detector. A nonlinear model was developed to describe the time-dependent measured radon concentration, and the radon release rate was obtained through nonlinear fitting. Experiments were conducted under five temperature conditions ranging from 20 °C to 32 °C. The Results showed that the proposed model achieved high fitting accuracy (R2 > 0.95) across all conditions. The radon release rate increased significantly with temperature, rising from 0.210 ± 0.006 mBq s−1 to 0.391 ± 0.019 mBq s−1 within the range of 20 °C–32 °C, an increase of 86 %. Further analysis shows that the radon release rate of uranium ore in water has a good linear relationship with temperature, indicating that temperature is an important factor affecting the radon release behavior. The methods and models proposed in this paper can effectively depict the radon release behavior of uranium ores in water environments and are suitable for related experimental designs to assess environmental radiation risks.
{"title":"Radon release behavior of uranium ore submerged in water under different temperatures","authors":"Xianfa Mao, Zhongkai Fan, Ruomei Xie, Xinyue Yang, Shicheng Luo, Hongbo Xu, Feng Xiao, Chenxi Zu, Hongzhi Yuan, Yanliang Tan","doi":"10.1016/j.jenvrad.2025.107841","DOIUrl":"10.1016/j.jenvrad.2025.107841","url":null,"abstract":"<div><div>Radon (Rn-222) released by the decay of Ra-226 in uranium ores may cause potential radiation risks in the water environment. However, the migration behaviour characterised by the low diffusion coefficient of radon in water and the slow change in concentration is still lacking systematic research. This study investigates the radon release behavior of uranium ore in water under different temperature conditions (20–32 °C). A closed-loop measurement system combined with a bubbling method was established, utilizing a RAD7 radon detector. A nonlinear model was developed to describe the time-dependent measured radon concentration, and the radon release rate was obtained through nonlinear fitting. Experiments were conducted under five temperature conditions ranging from 20 °C to 32 °C. The Results showed that the proposed model achieved high fitting accuracy (R<sup>2</sup> > 0.95) across all conditions. The radon release rate increased significantly with temperature, rising from 0.210 ± 0.006 mBq s<sup>−1</sup> to 0.391 ± 0.019 mBq s<sup>−1</sup> within the range of 20 °C–32 °C, an increase of 86 %. Further analysis shows that the radon release rate of uranium ore in water has a good linear relationship with temperature, indicating that temperature is an important factor affecting the radon release behavior. The methods and models proposed in this paper can effectively depict the radon release behavior of uranium ores in water environments and are suitable for related experimental designs to assess environmental radiation risks.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107841"},"PeriodicalIF":2.1,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-17DOI: 10.1016/j.jenvrad.2025.107839
D. Holiaka , Y. Igarashi , V. Yoschenko , R. Zadorozhniuk , S. Levchuk , M. Holiaka , O. Kiva , J.T. Smith , D.H. Oughton , V. Morozova , O. Lesnik , I. Chyzhevskyi , P. Diachuk , H. Kato , Y. Onda , V. Kashparov
The Chornobyl forests have undergone significant ecological transformation since the 1986 accident. Despite this, harvested wood from the region continues to be used for economic purposes. This study aimed to assess the importance of forest site characteristics, as well as the predictive capabilities of classical and machine learning (ML) methods, for estimating the content of 90Sr and 137Cs in wood.
A total of 205 circular sample plots were created across contrasting forest stands, where trunk wood and mineral soil samples were collected and analyzed. Aggregated transfer factors for the studied radionuclides showed wide variability. The highest 90Sr transfer was observed in pine and birch that were growing on dry, nutrient-poor soils. The average stand diameter was significantly correlated with 90Sr content in wood, while soil fertility showed a consistent inverse relationship with the translocation of both 90Sr and 137Cs. Extreme gradient boosting (XGBoost) models were trained to predict radionuclide concentrations based on site characteristics. Shapley additive explanations (SHAP) analysis of the parameterized ML algorithms revealed that soil contamination density, stand diameter, tree age, and dose rate were the most important predictors, whereas tree species had limited explanatory power. XGBoost outperformed classical Tag-based approaches for 137Cs and achieved comparable performance for 90Sr in predicting radionuclide activity concentrations in trunk wood. Obtained results demonstrate the value of incorporating forest features into ML algorithms for improving the assessment of radionuclide contamination in forest biomass and provide new insights into the relative importance of site characteristics in determining 90Sr and 137Cs accumulation in trees.
{"title":"Estimation of 90Sr and 137Cs activity concentrations in Chornobyl wood: significance of factors and classical vs. machine learning methods","authors":"D. Holiaka , Y. Igarashi , V. Yoschenko , R. Zadorozhniuk , S. Levchuk , M. Holiaka , O. Kiva , J.T. Smith , D.H. Oughton , V. Morozova , O. Lesnik , I. Chyzhevskyi , P. Diachuk , H. Kato , Y. Onda , V. Kashparov","doi":"10.1016/j.jenvrad.2025.107839","DOIUrl":"10.1016/j.jenvrad.2025.107839","url":null,"abstract":"<div><div>The Chornobyl forests have undergone significant ecological transformation since the 1986 accident. Despite this, harvested wood from the region continues to be used for economic purposes. This study aimed to assess the importance of forest site characteristics, as well as the predictive capabilities of classical and machine learning (ML) methods, for estimating the content of <sup>90</sup>Sr and <sup>137</sup>Cs in wood.</div><div>A total of 205 circular sample plots were created across contrasting forest stands, where trunk wood and mineral soil samples were collected and analyzed. Aggregated transfer factors for the studied radionuclides showed wide variability. The highest <sup>90</sup>Sr transfer was observed in pine and birch that were growing on dry, nutrient-poor soils. The average stand diameter was significantly correlated with <sup>90</sup>Sr content in wood, while soil fertility showed a consistent inverse relationship with the translocation of both <sup>90</sup>Sr and <sup>137</sup>Cs. Extreme gradient boosting (XGBoost) models were trained to predict radionuclide concentrations based on site characteristics. Shapley additive explanations (SHAP) analysis of the parameterized ML algorithms revealed that soil contamination density, stand diameter, tree age, and dose rate were the most important predictors, whereas tree species had limited explanatory power. XGBoost outperformed classical T<sub>ag</sub>-based approaches for <sup>137</sup>Cs and achieved comparable performance for <sup>90</sup>Sr in predicting radionuclide activity concentrations in trunk wood. Obtained results demonstrate the value of incorporating forest features into ML algorithms for improving the assessment of radionuclide contamination in forest biomass and provide new insights into the relative importance of site characteristics in determining <sup>90</sup>Sr and <sup>137</sup>Cs accumulation in trees.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107839"},"PeriodicalIF":2.1,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-16DOI: 10.1016/j.jenvrad.2025.107836
Daniel L. Chester, Matthew A. Goodwin, Susan J. Leadbetter
The International Monitoring System (IMS) Radionuclide (RN) network measures airborne fission and activation products for the verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Recently, the background levels of radioactive isotopes of xenon (radioxenon) at several IMS stations in the East Asian and Pacific regions have been anomalously high. On 21st December 2023, the International Atomic Energy Agency (IAEA) released a press statement in relation to developments in the Democratic People's Republic of Korea (DPRK) nuclear programme, indicating that a new experimental light water reactor (ELWR) had come online. Here, we discuss several periods of heightened radioxenon activity at IMS stations in the northern hemisphere and begin to associate spatially and temporally distributed detections with emissions from the Yongbyon site using atmospheric transport and dispersion modelling. Source term estimations suggest that a facility operating at Yongbyon is amongst the largest known radioxenon emitters globally, with 133Xe emission rates akin to those of a medical isotope production facility. This source of anthropogenic fission product radioxenon represents a significant signal which must be contended with when monitoring for nuclear explosive testing.
{"title":"Investigating anomalous radioxenon detections on the International Monitoring System related to a significant source in East Asia","authors":"Daniel L. Chester, Matthew A. Goodwin, Susan J. Leadbetter","doi":"10.1016/j.jenvrad.2025.107836","DOIUrl":"10.1016/j.jenvrad.2025.107836","url":null,"abstract":"<div><div>The International Monitoring System (IMS) Radionuclide (RN) network measures airborne fission and activation products for the verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT). Recently, the background levels of radioactive isotopes of xenon (<em>radioxenon</em>) at several IMS stations in the East Asian and Pacific regions have been anomalously high. On 21<sup>st</sup> December 2023, the International Atomic Energy Agency (IAEA) released a press statement in relation to developments in the Democratic People's Republic of Korea (DPRK) nuclear programme, indicating that a new experimental light water reactor (ELWR) had come online. Here, we discuss several periods of heightened radioxenon activity at IMS stations in the northern hemisphere and begin to associate spatially and temporally distributed detections with emissions from the Yongbyon site using atmospheric transport and dispersion modelling. Source term estimations suggest that a facility operating at Yongbyon is amongst the largest known radioxenon emitters globally, with <sup>133</sup>Xe emission rates akin to those of a medical isotope production facility. This source of anthropogenic fission product radioxenon represents a significant signal which must be contended with when monitoring for nuclear explosive testing.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107836"},"PeriodicalIF":2.1,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145312904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-14DOI: 10.1016/j.jenvrad.2025.107832
Jin-long Lai, Xue Gong, Qian Fu, Xue-gang Luo
This study investigated rhizosphere microecological mechanisms driving interspecific variation in uranium (U) and cadmium (Cd) accumulation among sweet potato cultivars, informing low-accumulator selection strategies and Phyto management of contaminated soils. Employing two contrasting cultivars (high-accumulation purple sweet potato vs. low-accumulation Sushu No. 8), we conducted pot experiments to analyse photosynthetic responses, mineral nutrition dynamics, rhizosphere microbiome shifts, and soil metabolomic profiles under heavy metal stress. While exhibiting superior photosynthetic efficiency relative to Sushu 8, the purple cultivar demonstrated greater sensitivity to U + Cd co-stress, showing 4.68–13.05 % reductions in intercellular CO2 concentration (Ci), transpiration rate (Tr), and stomatal conductance (Gs). Notably, its roots accumulated 15.4 times higher Cd contamination indices (Pi_Cd) than Sushu 8, with significantly elevated bioconcentration factors (BCF) and transfer coefficients (TF) across all tissues. Heavy metal exposure reduced operational taxonomic units (OTUs) in the purple cultivar's rhizosphere microbiome but enhanced microbial diversity in Sushu 8. Metabolomic profiling revealed U/Cd-induced activation of galactose metabolism, ABC transporters, and pyrimidine metabolic pathways, with amino acid and nucleotide flux strongly correlating to microbial community dynamics. These findings demonstrate cultivar-specific heavy metal accumulation patterns are governed by rhizosphere processes involving mineral acquisition efficiency, microbiome configuration, and metabolic reprogramming, with high-accumulator microbiomes exhibiting greater environmental susceptibility.
{"title":"Mechanisms of uranium and cadmium Co-contamination on rhizosphere microecology and accumulation in sweet potato varieties","authors":"Jin-long Lai, Xue Gong, Qian Fu, Xue-gang Luo","doi":"10.1016/j.jenvrad.2025.107832","DOIUrl":"10.1016/j.jenvrad.2025.107832","url":null,"abstract":"<div><div>This study investigated rhizosphere microecological mechanisms driving interspecific variation in uranium (U) and cadmium (Cd) accumulation among sweet potato cultivars, informing low-accumulator selection strategies and Phyto management of contaminated soils. Employing two contrasting cultivars (high-accumulation purple sweet potato vs. low-accumulation Sushu No. 8), we conducted pot experiments to analyse photosynthetic responses, mineral nutrition dynamics, rhizosphere microbiome shifts, and soil metabolomic profiles under heavy metal stress. While exhibiting superior photosynthetic efficiency relative to Sushu 8, the purple cultivar demonstrated greater sensitivity to U + Cd co-stress, showing 4.68–13.05 % reductions in intercellular CO<sub>2</sub> concentration (Ci), transpiration rate (Tr), and stomatal conductance (Gs). Notably, its roots accumulated 15.4 times higher Cd contamination indices (Pi_Cd) than Sushu 8, with significantly elevated bioconcentration factors (BCF) and transfer coefficients (TF) across all tissues. Heavy metal exposure reduced operational taxonomic units (OTUs) in the purple cultivar's rhizosphere microbiome but enhanced microbial diversity in Sushu 8. Metabolomic profiling revealed U/Cd-induced activation of galactose metabolism, ABC transporters, and pyrimidine metabolic pathways, with amino acid and nucleotide flux strongly correlating to microbial community dynamics. These findings demonstrate cultivar-specific heavy metal accumulation patterns are governed by rhizosphere processes involving mineral acquisition efficiency, microbiome configuration, and metabolic reprogramming, with high-accumulator microbiomes exhibiting greater environmental susceptibility.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107832"},"PeriodicalIF":2.1,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-12DOI: 10.1016/j.jenvrad.2025.107835
Yangfan Zhao , Deyi Chen , Yuxuan Wang , Baojie Nie , Yungang Zhao , Qi Li , Shilian Wang , Dezhong Wang
Inversion for the radioactive source term has received growing attention in the post-Fukushima era. Under some special scenarios, the source term, including release rate, height and position, is necessary for nuclear emergency response and consequence assessment. Here, a transformer-based deep learning architecture was developed for multivariable source term estimation. The CALMET-LAPMOD coupling model validated by the Kincaid tracer experiment was employed to produce the datasets. The datasets were systematically constructed for five representative scenarios with the following time-varying parameters: release rate, release height, release location, coupling of release rate and height, and coupling of all three variables. Subsequently, a Transformer model with Bayesian optimization for adaptive hyperparameter tuning was developed. The results demonstrated excellent performance in source term inversion, with a determination coefficient (R2) of above 0.96 for release rate and height, and an average distance error of 1.19 km at a 95 % confidence level for location prediction. Regarding the coupling of all three variables scenario, the R2 for release rate and location remained above 0.92, whereas the height achieved R2 of 0.72. Additionally, feature ablation analysis revealed that monitoring points with high concentration values contribute significantly to inversion, providing quantitative insights to optimize the monitoring network layout.
{"title":"Transformer-based deep learning architecture for multivariable radioactive source term inversion","authors":"Yangfan Zhao , Deyi Chen , Yuxuan Wang , Baojie Nie , Yungang Zhao , Qi Li , Shilian Wang , Dezhong Wang","doi":"10.1016/j.jenvrad.2025.107835","DOIUrl":"10.1016/j.jenvrad.2025.107835","url":null,"abstract":"<div><div>Inversion for the radioactive source term has received growing attention in the post-Fukushima era. Under some special scenarios, the source term, including release rate, height and position, is necessary for nuclear emergency response and consequence assessment. Here, a transformer-based deep learning architecture was developed for multivariable source term estimation. The CALMET-LAPMOD coupling model validated by the Kincaid tracer experiment was employed to produce the datasets. The datasets were systematically constructed for five representative scenarios with the following time-varying parameters: release rate, release height, release location, coupling of release rate and height, and coupling of all three variables. Subsequently, a Transformer model with Bayesian optimization for adaptive hyperparameter tuning was developed. The results demonstrated excellent performance in source term inversion, with a determination coefficient (R<sup>2</sup>) of above 0.96 for release rate and height, and an average distance error of 1.19 km at a 95 % confidence level for location prediction. Regarding the coupling of all three variables scenario, the R<sup>2</sup> for release rate and location remained above 0.92, whereas the height achieved R<sup>2</sup> of 0.72. Additionally, feature ablation analysis revealed that monitoring points with high concentration values contribute significantly to inversion, providing quantitative insights to optimize the monitoring network layout.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107835"},"PeriodicalIF":2.1,"publicationDate":"2025-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-11DOI: 10.1016/j.jenvrad.2025.107834
Ilia Yarmoshenko, Vyacheslav Izgagin , Michael Zhukovsky
The article presents estimates of the annual effective doses received by residents of multi-story residential buildings constructed after the year 2000 and classified as energy-efficient. The assessments cover nine major cities across Russia and focus on external and internal exposure. The calculations are based on field measurements, including non-destructive assessments of the average concentration of 226Ra, 232Th and 40K and effective dose rate, as well as concentrations of radon and the equilibrium equivalent thoron concentration within contemporary high-rise buildings. The average annual effective dose from external exposure for the surveyed cities was found to be 0.27 mSv, while the internal exposure attributable to radon and its progeny amounted to 0.90 mSv, and that from thoron progeny was estimated at 0.31 mSv.
{"title":"Primary sources of population radiation exposure in multi-story residential buildings in large Russian cities","authors":"Ilia Yarmoshenko, Vyacheslav Izgagin , Michael Zhukovsky","doi":"10.1016/j.jenvrad.2025.107834","DOIUrl":"10.1016/j.jenvrad.2025.107834","url":null,"abstract":"<div><div>The article presents estimates of the annual effective doses received by residents of multi-story residential buildings constructed after the year 2000 and classified as energy-efficient. The assessments cover nine major cities across Russia and focus on external and internal exposure. The calculations are based on field measurements, including non-destructive assessments of the average concentration of <sup>226</sup>Ra, <sup>232</sup>Th and <sup>40</sup>K and effective dose rate, as well as concentrations of radon and the equilibrium equivalent thoron concentration within contemporary high-rise buildings. The average annual effective dose from external exposure for the surveyed cities was found to be 0.27 mSv, while the internal exposure attributable to radon and its progeny amounted to 0.90 mSv, and that from thoron progeny was estimated at 0.31 mSv.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107834"},"PeriodicalIF":2.1,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145280378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-09DOI: 10.1016/j.jenvrad.2025.107831
José M. Abril-Hernández
Interpreting the depth distributions of radionuclides and other tracers in recent sediments is a key point in many environmental studies. There are cases of large penetration depths that cannot be explained by the kinetic reactive transport of the tracers in the dissolved phase. The cotransport of colloids and tracers has been studied in the context of column experiments, with a focus on the effluent. This work aims to develop a Lagrangian model for the cotransport of colloids and tracers in natural aquatic sediments, with a focus on their retention and the resulting depth distribution patterns. It makes plausible estimates of the magnitudes involved and studies their roles using real data from a variety of sedimentary environments. The retention coefficient for colloids is orders of magnitude lower than direct kinetic coefficients for the liquid-solid uptake and it co-varies with the dispersive transport, resulting in large penetration depths in times ranging from a few hours to a few months. The above depth distributions are used in a model of composite fluxes that operates at a centennial scale, as illustrated with fallout radionuclides using real core data. This can explain flattening and subsurface maxima in 210Pbexc profiles, and large penetration tails of high- radionuclides that, when ignored, can lead to misuses of the 210Pb dating models. In these examples, the colloidal bound fraction of the tracers ranged from 20 % to 40 %. These percentages are reliable in many aquatic environments, as supported by data from the literature.
{"title":"Modelling cotransport of colloids and tracers in surficial sediments: applications to fallout radionuclides","authors":"José M. Abril-Hernández","doi":"10.1016/j.jenvrad.2025.107831","DOIUrl":"10.1016/j.jenvrad.2025.107831","url":null,"abstract":"<div><div>Interpreting the depth distributions of radionuclides and other tracers in recent sediments is a key point in many environmental studies. There are cases of large penetration depths that cannot be explained by the kinetic reactive transport of the tracers in the dissolved phase. The cotransport of colloids and tracers has been studied in the context of column experiments, with a focus on the effluent. This work aims to develop a Lagrangian model for the cotransport of colloids and tracers in natural aquatic sediments, with a focus on their retention and the resulting depth distribution patterns. It makes plausible estimates of the magnitudes involved and studies their roles using real data from a variety of sedimentary environments. The retention coefficient for colloids is orders of magnitude lower than direct kinetic coefficients for the liquid-solid uptake and it co-varies with the dispersive transport, resulting in large penetration depths in times ranging from a few hours to a few months. The above depth distributions are used in a model of composite fluxes that operates at a centennial scale, as illustrated with fallout radionuclides using real core data. This can explain flattening and subsurface maxima in <sup>210</sup>Pb<sub>exc</sub> profiles, and large penetration tails of high-<span><math><mrow><msub><mi>k</mi><mi>d</mi></msub></mrow></math></span> radionuclides that, when ignored, can lead to misuses of the <sup>210</sup>Pb dating models. In these examples, the colloidal bound fraction of the tracers ranged from 20 % to 40 %. These percentages are reliable in many aquatic environments, as supported by data from the literature.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107831"},"PeriodicalIF":2.1,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gamma-ray detectors that are deployed outdoors experience increased event rates during precipitation due to the attendant increase in Rn-222 progeny at ground level. The increased radiation due to these decay products (Pb-214 and Bi-214) has been studied for many decades in applications such as atmospheric science and radiation protection. For those applications radon progeny signatures are the signal of interest, while in the fields of radiological and nuclear security and aerial radiological mapping they are a nuisance. When searching for radiological contamination or missing sources, an analyst must take precipitation into account to reduce false alarms, in addition to accounting for static background signatures. To train advanced search algorithms, an effort has been underway to generate synthetic gamma-ray event data that represent a realistic urban area, including occasional rain events to add to the realism. This manuscript describes an effort to analyze and model gamma-ray spectra measured during rainfall by a NaI(Tl) detector located outdoors in order to derive accurate source terms for Pb-214 and Bi-214 at a high frequency (less than 1 min). All known sources of background were quantitatively modeled across the full gamma-ray spectrum, so that the Pb-214 and Bi-214 activity concentrations on the ground could be inferred from a linear model fit to each spectrum. A physically motivated model was applied to the data to further smooth the fits, which had the benefit of yielding information about the concentrations of the progeny in rainwater and their apparent age, making this the first time full-spectrum modeling has been used for continuous measurements of radon progeny. Full-spectrum modeling’s ability to leverage more statistics allows for measurements at a rate of more than once per minute, rather than the more typical 10- or 15 min measurement cycle, and therefore this approach could lead to studies of radon progeny on shorter timescales than previously possible.
{"title":"Full spectrum modeling of in situ gamma-ray detector measurements with a focus on precipitation-induced transients","authors":"M.S. Bandstra , J.M. Ghawaly , D.E. Peplow , D.E. Archer , B.J. Quiter , T.H.Y. Joshi , A.D. Nicholson , M.J. Willis , I. Garishvili , A.J. Rowe , B.R. Longmire , J.T. Nattress","doi":"10.1016/j.jenvrad.2025.107826","DOIUrl":"10.1016/j.jenvrad.2025.107826","url":null,"abstract":"<div><div>Gamma-ray detectors that are deployed outdoors experience increased event rates during precipitation due to the attendant increase in Rn-222 progeny at ground level. The increased radiation due to these decay products (Pb-214 and Bi-214) has been studied for many decades in applications such as atmospheric science and radiation protection. For those applications radon progeny signatures are the signal of interest, while in the fields of radiological and nuclear security and aerial radiological mapping they are a nuisance. When searching for radiological contamination or missing sources, an analyst must take precipitation into account to reduce false alarms, in addition to accounting for static background signatures. To train advanced search algorithms, an effort has been underway to generate synthetic gamma-ray event data that represent a realistic urban area, including occasional rain events to add to the realism. This manuscript describes an effort to analyze and model gamma-ray spectra measured during rainfall by a NaI(Tl) detector located outdoors in order to derive accurate source terms for Pb-214 and Bi-214 at a high frequency (less than 1 min). All known sources of background were quantitatively modeled across the full gamma-ray spectrum, so that the Pb-214 and Bi-214 activity concentrations on the ground could be inferred from a linear model fit to each spectrum. A physically motivated model was applied to the data to further smooth the fits, which had the benefit of yielding information about the concentrations of the progeny in rainwater and their apparent age, making this the first time full-spectrum modeling has been used for continuous measurements of radon progeny. Full-spectrum modeling’s ability to leverage more statistics allows for measurements at a rate of more than once per minute, rather than the more typical 10- or 15 min measurement cycle, and therefore this approach could lead to studies of radon progeny on shorter timescales than previously possible.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107826"},"PeriodicalIF":2.1,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145258307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-08DOI: 10.1016/j.jenvrad.2025.107827
Atsushi Hirano , Hidenori Kagamifuchi , Ken Koyabu , Koichi Takizawa , Yuichi Onda
This study investigates the seasonal variation in radioactive cesium (sum of ′134Cs and ′137Cs; hereafter radioactive Cs) concentrations in kokanee (Oncorhynchus nerka) within a pumped-storage power plant reservoir system, with particular focus on the marked decline in radioactive Cs levels during plant operation. Radioactive Cs transfer pathways to kokanee were examined in relation to water residence time, vertical temperature profiles, and water quality under operational and non-operational conditions. Two primary pathways originating from the contaminated forest surrounding the reservoir were identified. The first involves suspended detritus, primarily decomposed forest litter, which accumulates at the thermocline and facilitates Cs transfer to kokanee via interactions with plankton. The second pathway involves detritus deposited on the lakebed, consumed by chironomids, which serve as prey for kokanee. Radioactive Cs concentrations in chironomids were higher than those in plankton, suggesting that seasonal dietary shifts in kokanee contribute to observed variations in radioactive Cs accumulation. Power plant operations can transport part of the contaminated detritus accumulated at the thermocline out of the lake, thereby inhibiting its sedimentation on the lake bottom, reducing radioactive Cs availability to lower trophic organisms, and resulting in a marked reduction of radioactive Cs concentrations in kokanee. These findings highlight the influence of anthropogenic operations on Cs dynamics in aquatic ecosystems and have important implications for ecological risk assessment and the management of radiological contamination.
{"title":"Operations of a pumped storage power plant attenuated radioactive Cs concentration in kokanee stocked in the upper reservoir","authors":"Atsushi Hirano , Hidenori Kagamifuchi , Ken Koyabu , Koichi Takizawa , Yuichi Onda","doi":"10.1016/j.jenvrad.2025.107827","DOIUrl":"10.1016/j.jenvrad.2025.107827","url":null,"abstract":"<div><div>This study investigates the seasonal variation in radioactive cesium (sum of ′134Cs and ′137Cs; hereafter radioactive Cs) concentrations in kokanee (<em>Oncorhynchus nerka</em>) within a pumped-storage power plant reservoir system, with particular focus on the marked decline in radioactive Cs levels during plant operation. Radioactive Cs transfer pathways to kokanee were examined in relation to water residence time, vertical temperature profiles, and water quality under operational and non-operational conditions. Two primary pathways originating from the contaminated forest surrounding the reservoir were identified. The first involves suspended detritus, primarily decomposed forest litter, which accumulates at the thermocline and facilitates Cs transfer to kokanee via interactions with plankton. The second pathway involves detritus deposited on the lakebed, consumed by chironomids, which serve as prey for kokanee. Radioactive Cs concentrations in chironomids were higher than those in plankton, suggesting that seasonal dietary shifts in kokanee contribute to observed variations in radioactive Cs accumulation. Power plant operations can transport part of the contaminated detritus accumulated at the thermocline out of the lake, thereby inhibiting its sedimentation on the lake bottom, reducing radioactive Cs availability to lower trophic organisms, and resulting in a marked reduction of radioactive Cs concentrations in kokanee. These findings highlight the influence of anthropogenic operations on Cs dynamics in aquatic ecosystems and have important implications for ecological risk assessment and the management of radiological contamination.</div></div>","PeriodicalId":15667,"journal":{"name":"Journal of environmental radioactivity","volume":"291 ","pages":"Article 107827"},"PeriodicalIF":2.1,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145258377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}