Emergency Management in the Event of Radiological Dispersion in an Urban Environment
Abstract
:1. Introduction
2. Scenario and Methods
2.1. Reference Scenario
2.2. Software Code
- the position and geometry of the buildings that represent the urban context;
- the measured or expected dynamic and non-stationary meteorological and wind conditions, such as atmospheric classes, which however cannot take into account ground wind speed values lower than 1 m/s;
- calculation of the concentration of particulate matter also located in the vicinity of the point of origin (Gaussian models often see it as a point with infinite concentration);
- calculation of surface contamination resulting from dispersion even at different heights other than the ground and on vertical walls of buildings or obstacles.
2.3. Radiological Sources
2.4. Emergency Management: Countermeasures to Protect the Population and Rescuers
- The definition of zones, disposition, and role of emergency personnel during the first response phase, recalling urgent technical assistance and rescue.
- The strategies and tactics aimed at limiting and optimizing the equivalent dose on the population and associated with the actions that the rescuers are called to carry out.
- The residence times (or stay time) in the various areas, into which the impacted area is divided, according to the allowable doses for the various categories of personnel dedicated to the emergency response.
3. Results
3.1. Assumptions about the Parameters Used in the Simulations
- Impact area: Two different impact areas are considered in the simulations: a detailed area, centered on the release point and with a width of 1.3 km × 1.3 km, and one centered on the part of the plume with the highest concentration, with a width of about 2 km × 2 km.
- Radionuclides involved: Co-60 and Cs-137 are the sources considered. The simulation does not include the case in which the two sources are combined.
- Initiating events: Two different types of emission scenarios are hypothesized, one of a malicious or terrorist nature and one of an accidental nature. The first event is characterized by an almost instantaneous release due to an RDD explosion with emissions distributed vertically and with an almost instantaneous release duration. The second release is from a fire located inside the condominium courtyard, with the thermal rising of the fumes, is hypothesized to have a release duration of about 10 min, including the arrival of firefighters, since they are located less than 2 km from the release point. The modest-sized fire was simulated with a fire load with a power of 1.8 MW.
- Times and meteorological situation: The events had a two-hour duration, starting from 9:00 a.m. of a preselected day (1 April 2022), characterized by conditions in the morning that change from neutral to unstable/convective when the wind blew in southbound from the release point. The meteorological boundary conditions (flow entering the computation domain) derive from simulations performed with a Weather Research and Forecasting [13] model at a horizontal resolution of 1 km.
3.2. RDD Scenario
3.2.1. Medium-Activity Co-60 Source Dispersion from Detonation
3.2.2. High-Activity Co-60 Source Dispersion from Detonation
3.3. High-Activity Cs-137 Source Dispersion from Fire
3.4. Scenario Comparison: Fire vs. Blast
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Radionuclides | T 1/2 [Years] | Energy * [MeV] | Melting Point (+) [°C] | Activities [Bq] | |
---|---|---|---|---|---|
Co-60 | 5.27 years | 1.1732 | 1495 | 1.00 × 1010 | 1.50 × 1014 |
Cs-137 | 30.17 years | 0.6617 | 490 | 1.00 × 1010 | 1.90 × 1013 |
Radionuclide | Effective Dose Coefficient | Effective Dose Rate per Unit of Deposition on the Ground | ||
---|---|---|---|---|
Plume [Sv/h] | Ground [Bq/m2] | Plume [Sv/h] | Ground [Bq/m2] | |
Co-60 | 1.2 × 10−13 | 2.3 × 10−15 | 4.3 × 10−10 | 8.3 × 10−12 |
Cs-137 * | 2.6 × 10−14 | 5.5 × 10−16 | 9.4 × 10−11 | 2.0 × 10−12 |
Point 0 (in) | Point 1 (out) | Point 2 | Point 3 | Point 4 | Point 5 | |
---|---|---|---|---|---|---|
Distance from Source [m] | 26 | 24 | 164 | 645 | 950 | 1769 |
TED [mSv] | 6.18 | 1.41 | 1.07 | 0.55 | 0.5 | 0.23 |
Inhaled Dose [mSv] | 6.06 | 1.38 | 1.05 | 0.53 | 0.49 | 0.22 |
Direct Dose [mSv] | 0.09 | 0.02 | 0.02 | 0.01 | 0.01 | 0.00 |
Indirect Dose [mSv] | 3.64 × 10−2 | 7.81 × 10−3 | 5.15 × 10−3 | 3.09 × 10−3 | 3.09 × 10−3 | 5.01 × 10−4 |
Units | Point_0 (in) | Point_1 (out) | Point_2 | Point_3 | Point_4 | Point_5 | |
---|---|---|---|---|---|---|---|
Distance | meters | 26 | 24 | 164 | 645 | 950 | 1769 |
TED (h) | mSv/h | 46.4 | 10.6 | 8.0 | 4.1 | 3.8 | 1.7 |
Tstay POP | minutes | 1 | 6 | 8 | 15 | 16 | 35 |
Tstay FR-G | hours, minutes | 25 m | 1 h 53 m | 2 h 30 m | 4 h 53 m | 5 h 17 m | 11 h 41 m |
Tstay FB-NR | hours, minutes | 2 h 10 m | 9 h 28 m | 12 h 30 m | 24 h 27 m | 26 h 27 m | 58 h 28 m |
Units | Point_0 | Point_1 | Point_2 | Point_3 | Point_4 | Point_5 | |
---|---|---|---|---|---|---|---|
Distance | meters | 26 | 24 | 164 | 645 | 950 | 1769 |
TED (h) | mSv/h | 12.0 | 0.4 | 0.2 | 0.03 | 0.1 | 0.1 |
Scenario | Type of Data | Units | Point_0 | Point_1 | Point_2 | Point_3 | Point_4 | Point_5 |
---|---|---|---|---|---|---|---|---|
RDD | Air Concentration | Bq/m3 | 4.02 × 104 | 5.54 × 103 | 5.07 × 104 | 1.47 × 105 | 3.02 × 105 | 5.63 × 105 |
Co-60 High | Ground Deposition | Bq/m2 | 3.59 × 108 | 7.69 × 107 | 5.10 × 107 | 3.07 × 107 | 3.60 × 107 | 5.33 × 106 |
Fire | Air Concentration | Bq/m3 | 1.04 × 103 | 1.00 × 104 | 2.04 × 104 | 7.79 × 101 | 2.22 × 103 | 5.27 × 103 |
Cs-137 High | Ground Deposition | Bq/m2 | 7.12 × 107 | 2.36 × 106 | 1.34 × 106 | 2.47 × 105 | 8.96 × 103 | 2.84 × 105 |
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Cavalieri d’Oro, E.; Malizia, A. Emergency Management in the Event of Radiological Dispersion in an Urban Environment. Sensors 2023, 23, 2029. https://doi.org/10.3390/s23042029
Cavalieri d’Oro E, Malizia A. Emergency Management in the Event of Radiological Dispersion in an Urban Environment. Sensors. 2023; 23(4):2029. https://doi.org/10.3390/s23042029
Chicago/Turabian StyleCavalieri d’Oro, Edoardo, and Andrea Malizia. 2023. "Emergency Management in the Event of Radiological Dispersion in an Urban Environment" Sensors 23, no. 4: 2029. https://doi.org/10.3390/s23042029
APA StyleCavalieri d’Oro, E., & Malizia, A. (2023). Emergency Management in the Event of Radiological Dispersion in an Urban Environment. Sensors, 23(4), 2029. https://doi.org/10.3390/s23042029