Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where J.-J. Cheng is active.

Publication


Featured researches published by J.-J. Cheng.


Radiation and Environmental Biophysics | 2008

Inter-comparison of models to estimate radionuclide activity concentrations in non-human biota

N.A. Beresford; C.L. Barnett; J.E. Brown; J.-J. Cheng; David Copplestone; V. Filistovic; A. Hosseini; B.J. Howard; Steve R Jones; S. Kamboj; A. Kryshev; T. Nedveckaite; G. Olyslaegers; R. Saxén; Tatiana G. Sazykina; J. Vives i Batlle; S. Vives-Lynch; T. Yankovich; C. Yu

A number of models have recently been, or are currently being, developed to enable the assessment of radiation doses from ionising radiation to non-human species. A key component of these models is the ability to predict whole-organism activity concentrations in a wide range of wildlife. In this paper, we compare the whole-organism activity concentrations predicted by eight models participating within the IAEA Environmental Modelling for Radiation Safety programme for a range of radionuclides to terrestrial and freshwater organisms. In many instances, there was considerable variation, ranging over orders of magnitude, between the predictions of the different models. Reasons for this variability (including methodology, data source and data availability) are identified and discussed. The active participation of groups responsible for the development of key models within this exercise is a useful step forward in providing the transparency in methodology and data provenance required for models which are either currently being used for regulatory purposes or which may be used in the future. The work reported in this paper, and supported by other findings, demonstrates that the largest contribution to variability between model predictions is the parameterisation of their transfer components. There is a clear need to focus efforts and provide authoritative compilations of those data which are available.


Journal of Radiological Protection | 2010

Predicting the radiation exposure of terrestrial wildlife in the Chernobyl exclusion zone: an international comparison of approaches

N.A. Beresford; C.L. Barnett; J.E. Brown; J.-J. Cheng; David Copplestone; S. Gaschak; A. Hosseini; B.J. Howard; S. Kamboj; T. Nedveckaite; G. Olyslaegers; Jim T. Smith; J. Vives i Batlle; S. Vives-Lynch; C. Yu

There is now general acknowledgement that there is a requirement to demonstrate that species other than humans are protected from anthropogenic releases of radioactivity. A number of approaches have been developed for estimating the exposure of wildlife and some of these are being used to conduct regulatory assessments. There is a requirement to compare the outputs of such approaches against available data sets to ensure that they are robust and fit for purpose. In this paper we describe the application of seven approaches for predicting the whole-body ((90)Sr, (137)Cs, (241)Am and Pu isotope) activity concentrations and absorbed dose rates for a range of terrestrial species within the Chernobyl exclusion zone. Predictions are compared against available measurement data, including estimates of external dose rate recorded by thermoluminescent dosimeters attached to rodent species. Potential reasons for differences between predictions between the various approaches and the available data are explored.


Journal of Radiological Protection | 2010

An international model validation exercise on radionuclide transfer and doses to freshwater biota.

T. L. Yankovich; J. Vives i Batlle; S. Vives-Lynch; N.A. Beresford; C.L. Barnett; K. Beaugelin-Seiller; J.E. Brown; J.-J. Cheng; David Copplestone; R. Heling; A. Hosseini; B.J. Howard; S. Kamboj; A. Kryshev; T. Nedveckaite; Jim T. Smith; Michael D. Wood

Under the International Atomic Energy Agency (IAEA)s EMRAS (Environmental Modelling for Radiation Safety) programme, activity concentrations of (60)Co, (90)Sr, (137)Cs and (3)H in Perch Lake at Atomic Energy of Canada Limiteds Chalk River Laboratories site were predicted, in freshwater primary producers, invertebrates, fishes, herpetofauna and mammals using eleven modelling approaches. Comparison of predicted radionuclide concentrations in the different species types with measured values highlighted a number of areas where additional work and understanding is required to improve the predictions of radionuclide transfer. For some species, the differences could be explained by ecological factors such as trophic level or the influence of stable analogues. Model predictions were relatively poor for mammalian species and herpetofauna compared with measured values, partly due to a lack of relevant data. In addition, concentration ratios are sometimes under-predicted when derived from experiments performed under controlled laboratory conditions representative of conditions in other water bodies.


Journal of Environmental Radioactivity | 2016

Inter-comparison of dynamic models for radionuclide transfer to marine biota in a Fukushima accident scenario.

J. Vives i Batlle; N.A. Beresford; K. Beaugelin-Seiller; R. Bezhenar; J. Brown; J.-J. Cheng; Mirjana Ćujić; Snežana Dragović; Céline Duffa; Bruno Fiévet; A. Hosseini; K.T. Jung; S. Kamboj; D.-K. Keum; A. Kryshev; D. LePoire; Vladimir S. Maderich; Byung-Il Min; R. Periáñez; Tatiana G. Sazykina; Kyung-Suk Suh; C. Yu; C. Wang; R. Heling

We report an inter-comparison of eight models designed to predict the radiological exposure of radionuclides in marine biota. The models were required to simulate dynamically the uptake and turnover of radionuclides by marine organisms. Model predictions of radionuclide uptake and turnover using kinetic calculations based on biological half-life (TB1/2) and/or more complex metabolic modelling approaches were used to predict activity concentrations and, consequently, dose rates of (90)Sr, (131)I and (137)Cs to fish, crustaceans, macroalgae and molluscs under circumstances where the water concentrations are changing with time. For comparison, the ERICA Tool, a model commonly used in environmental assessment, and which uses equilibrium concentration ratios, was also used. As input to the models we used hydrodynamic forecasts of water and sediment activity concentrations using a simulated scenario reflecting the Fukushima accident releases. Although model variability is important, the intercomparison gives logical results, in that the dynamic models predict consistently a pattern of delayed rise of activity concentration in biota and slow decline instead of the instantaneous equilibrium with the activity concentration in seawater predicted by the ERICA Tool. The differences between ERICA and the dynamic models increase the shorter the TB1/2 becomes; however, there is significant variability between models, underpinned by parameter and methodological differences between them. The need to validate the dynamic models used in this intercomparison has been highlighted, particularly in regards to optimisation of the model biokinetic parameters.


Journal of Environmental Radioactivity | 2009

Modeling of the EMRAS urban working group hypothetical scenario using the RESRAD-RDD methodology.

S. Kamboj; J.-J. Cheng; C. Yu; Stephen L. Domotor; A. Wallo

The RESRAD-RDD methodology was applied to model the short- and long-term radiation exposures after a hypothetical radiological dispersal device (RDD) event in an urban environment. It was assumed that an RDD event would result in outside surface contamination of the exterior walls and roofs of surrounding buildings, as well as associated paved areas and lawns. The contaminants also might move inside the buildings and deposit on floors and interior walls. Some important input parameters include occupancy factors, building characteristics, and weathering of surface contamination. The modeling results include predicted external dose rates, relative contributions from important surfaces, annual and cumulative doses, and radionuclide concentrations. Potential countermeasures evaluated include grass removal, soil removal, and washing of paved areas.


Journal of Environmental Radioactivity | 2013

Effects of the New Wildlife Transfer Factors on RESRAD-BIOTA's Screening Biota Concentration Guides and Previous Model Comparison Studies

C. Yu; J.-J. Cheng; S. Kamboj

The RESRAD-BIOTA Level 1 default Biota Concentration Guides (BCGs) are generic screening environmental medium concentrations based on reasonably conservative concentration ratios (CRs). These CRs had been identified from available literature for a variety of biota organisms. The International Atomic Energy Agency (IAEA) Technical Report Series (TRS) handbook on radionuclide transfer to wildlife was recently published with data that can be compared with the RESRAD-BIOTA values. In addition, previous IAEA Environmental Modeling for Radiation Safety (EMRAS) II Biota Working Group model comparison results are examined by comparing them with those obtained using the new TRS CR values for wildlife. Since the CR affects only internal doses, the effect on the overall dose depends on the relative contribution from internal and external exposure pathways.


Archive | 2015

RESRAD for Radiological Risk Assessment. Comparison with EPA CERCLA Tools - PRG and DCC Calculators

C. Yu; J.-J. Cheng; S. Kamboj

The purpose of this report is two-fold. First, the risk assessment methodology for both RESRAD and the EPA’s tools is reviewed. This includes a review of the EPA’s justification for 2 using a dose-to-risk conversion factor to reduce the dose-based protective ARAR from 15 to 12 mrem/yr. Second, the models and parameters used in RESRAD and the EPA PRG and DCC Calculators are compared in detail, and the results are summarized and discussed. Although there are suites of software tools in the RESRAD family of codes and the EPA Calculators, the scope of this report is limited to the RESRAD (onsite) code for soil contamination and the EPA’s PRG and DCC Calculators also for soil contamination.


Radiation and Environmental Biophysics | 2007

Inter-comparison of absorbed dose rates for non-human biota

J. Vives i Batlle; M. Balonov; K. Beaugelin-Seiller; N.A. Beresford; J. Brown; J.-J. Cheng; David Copplestone; M. Doi; V. Filistovic; Vladislav Golikov; J. Horyna; A. Hosseini; B.J. Howard; Steve R Jones; S. Kamboj; A. Kryshev; T. Nedveckaite; G. Olyslaegers; G. Pröhl; Tatiana G. Sazykina; Alexander Ulanovsky; S. Vives Lynch; T. Yankovich; C. Yu


Radioprotection | 2009

Findings and recommendations from an international comparison of models and approaches for the estimation of radiological exposure to non-human biota

N.A. Beresford; C.L. Barnett; K. Beaugelin-Seiller; J.E. Brown; J.-J. Cheng; David Copplestone; S. Gaschak; J. L. Hingston; J. Horyna; A. Hosseini; B.J. Howard; S. Kamboj; A. Kryshev; T. Nedveckaite; G. Olyslaegers; Tatiana G. Sazykina; Jim T. Smith; D. Telleria; J. Vives i Batlle; T. Yankovich; R. Heling; Michael D. Wood; C. Yu


Journal of Environmental Radioactivity | 2009

Modelling the long-term consequences of a hypothetical dispersal of radioactivity in an urban area including remediation alternatives

K.M. Thiessen; Kasper Grann Andersson; B. Batandjieva; J.-J. Cheng; Won-Tae Hwang; J.C. Kaiser; S. Kamboj; M. Steiner; J. Tomás; D. Trifunovic; C. Yu

Collaboration


Dive into the J.-J. Cheng's collaboration.

Top Co-Authors

Avatar

S. Kamboj

Argonne National Laboratory

View shared research outputs
Top Co-Authors

Avatar

C. Yu

Argonne National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

A. Hosseini

Norwegian Radiation Protection Authority

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

B.J. Howard

Natural Environment Research Council

View shared research outputs
Top Co-Authors

Avatar

C.L. Barnett

Natural Environment Research Council

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

K. Beaugelin-Seiller

Institut de radioprotection et de sûreté nucléaire

View shared research outputs
Top Co-Authors

Avatar

Jim T. Smith

University of Portsmouth

View shared research outputs
Researchain Logo
Decentralizing Knowledge