Bayesian spatial modelling of terrestrial radiation in Switzerland

Folly, Christophe L; Konstantinoudis, Garyfallos; Mazzei-Abba, Antonella; Kreis, Christian; Bucher, B.; Furrer, Reinhard; Spycher, Ben D.

doi:10.1016/j.jenvrad.2021.106571

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…Doses for locations with insufficient address information for geocoding were imputed using the predicted doses at the residential address. The exposure model is based on a map of terrestrial radiation [ 34 ], a deterministic height-dependent function [ 35 ] to predict cosmic radiation and a map of the caesium contamination [ 36 ] that is corrected for the decay of caesium over time. For this correction, we applied an exponential decay rate that is calibrated to time-series spectrometry measurements taken at fixed locations [ 26 ] using a random effects log-linear model [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

Measurements and determinants of children’s exposure to background gamma radiation in Switzerland

Folly

Mazzei-Abba

Coste

et al. 2022

Journal of Radiation Research

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Epidemiological studies of children’s cancer risks associated with background gamma radiation exposure have used geographic exposure models to estimate exposure at their locations of residence. We measured personal exposure to background gamma radiation, and we investigated the extent to which it was associated with children’s whereabouts. We collected data on whereabouts and exposure to background gamma radiation over a 5-day period among children aged 4–15 years in Switzerland. We used D-Shuttle dosimeters to measure children’s exposure, and we asked parents to write their children’s activities in diaries. We used Poisson mixed-effects and linear regression models to investigate the association of hourly and overall doses, respectively, with children’s reported whereabouts. During the observed time, 149 participating children spent 66% indoors at home; 19% indoors away from home; and 15% outdoors. The mean personal exposure was 85.7 nSv/h (range 52.3 nSv/h–145 nSv/h). Exposure was 1.077 (95% CI 1.067, 1.087) times higher indoors than outdoors and varied by building material and (predicted) outdoor dose rates. Our study provides detailed information about children’s patterns of exposure to background gamma radiation in Switzerland. Dwelling building materials and outdoor dose rates are important determinants of children’s exposure. Future epidemiological studies may benefit from including information about building materials.

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Section: Methodsmentioning

confidence: 99%

Measurements and determinants of children’s exposure to background gamma radiation in Switzerland

Folly

Mazzei-Abba

Coste

et al. 2022

Journal of Radiation Research

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“…Измеренные значения МАЭД варьируются в довольно широком диапазоне, что может быть обусловлено как конструкционными особенностями строения детектирующих устройств, так и разнообразием территорий, на которых расположены исследуемые населенные пункты. Среднее арифметическое (0.12 мкЗв/ч), а также среднее геометрическое (0.13 мкЗв/ч) значения МАЭД в населенных пунктах Краснодарского края соотносятся со данными, получаемыми в ряде других стран [8] и не превышают гамма-фон, установленный Нормами радиационной безопасности Российской Федерации 5 .…”

Section: результаты и их обсуждениеunclassified

Radioecological situation in certain areas of the Southern Federal District

Plahotnyаyа,

Buraeva,

Ratushnyj

2024

GNS

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Radioecological monitoring of natural and urban areas is intended not only to assess the consequences of the operation of nuclear fuel energy enterprises, but also to ensure radiation safety of humans and the environment. This type of research allows not only to identify areas with increased background radiation, but also to reduce social tension in the population associated with radiophobia. This paper presents the results of long-term studies of the ambient dose equivalent rate (ADR) of gamma radiation within urban and rural settlements of the Southern Federal District using the example of the Krasnodar Territory. ADR measurements were carried out at a height of 100 cm from the earth's surface using dosimeters-radiometers SRP-88n, DRBP-03 and DKS-96s with a detection unit BDKS-96s using pedestrian gamma survey methods. The study regions represent different types of landscapes: steppe plain territories, the foothills of the North Caucasus and the Black Sea coast. It is shown that the arithmetic average ADR values in urban conditions are 0.11 μSv/h, and in rural settlements – 0.14 μSv/h. Similar results may be due to differences in soil and climatic conditions in different settlements. In general, differences in gamma radiation ADR may be due to a greater extent to measurement uncertainty (standard deviation), and also, to a lesser extent, to relief features and the content of radionuclides in the soils of a given region. The radiation situation in the Krasnodar Territory at the time of the study complies with the requirements of SanPiN 2.6.1.2612-10. The gamma radiation equivalent dose rate values are within the limits of natural background fluctuations characteristic of the Russian Federation.

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“…3 ). Earlier studies modelling diverse ecological attributes such as air temperature, soil water content 73 , land cover, leaf area index 111 , and terrestrial radiation 112 have shown that the random CV strategy considerably underestimates the model error. For example, a large reduction in the agreement between predicted and observed estimates of aboveground biomass (AGB) in the Congo basin was observed when comparing spatial CV against random CV 40 .…”

Section: Introductionmentioning

confidence: 99%

Mapping soil organic carbon stocks in Nepal’s forests

Khanal

Nolan

Medlyn

et al. 2023

Sci Rep

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Comprehensive forest carbon accounting requires reliable estimation of soil organic carbon (SOC) stocks. Despite being an important carbon pool, limited information is available on SOC stocks in global forests, particularly for forests in mountainous regions, such as the Central Himalayas. The availability of consistently measured new field data enabled us to accurately estimate forest soil organic carbon (SOC) stocks in Nepal, addressing a previously existing knowledge gap. Our method involved modelling plot-based estimates of forest SOC using covariates related to climate, soil, and topographic position. Our quantile random forest model resulted in the high spatial resolution prediction of Nepal’s national forest SOC stock together with prediction uncertainties. Our spatially explicit forest SOC map showed the high SOC levels in high-elevation forests and a significant underrepresentation of these stocks in global-scale assessments. Our results offer an improved baseline on the distribution of total carbon in the forests of the Central Himalayas. The benchmark maps of predicted forest SOC and associated errors, along with our estimate of 494 million tonnes (SE = 16) of total SOC in the topsoil (0–30 cm) of forested areas in Nepal, carry important implications for understanding the spatial variability of forest SOC in mountainous regions with complex terrains.

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Bayesian spatial modelling of terrestrial radiation in Switzerland

Cited by 11 publications

References 24 publications

Measurements and determinants of children’s exposure to background gamma radiation in Switzerland

Measurements and determinants of children’s exposure to background gamma radiation in Switzerland

Radioecological situation in certain areas of the Southern Federal District

Mapping soil organic carbon stocks in Nepal’s forests

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