A mobile simulation and ARIMA modeling for prediction of air radiation dose rates DOI Creative Commons
Hemn Salh, Fatih Külahçı, Serpil Aközcan

et al.

Research Square (Research Square), Journal Year: 2021, Volume and Issue: unknown

Published: April 7, 2021

Abstract A spatial simulation method in .mp4 format was proposed to determine Fukushima radioactive fallout transport and the Absorbed Dose Rate, Annual Effective Equivalent, Excess Lifetime Cancer Risk were determined for 10 months after accident (March 11 2011). The findings of this study demonstrate that an appropriate ARIMA model can be applied radiation dose time-series case nuclear reactor accidents like Chernobyl predict future air rates, which provide valuable information determining evacuation zones, decontamination processes, protection progresses. forecasted results actual observation data same period shows a gradual decrease rates during prediction period. Moreover, there is good agreement between them as scatter plot follows each other with small variations. These important insights into predictability models; thus, models utilized forecast (January 2020 - October 2020).

Language: Английский

Investigation of natural and artificial radioactivity levels in travertines of the Cappadocia region in Turkey DOI Creative Commons
M. Kamislioglu, İsmail Koçak, B. Büyük

et al.

Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 46(6)

Published: May 2, 2024

Abstract This study determined natural and artificial radionuclide concentrations to evaluate radioactivity health risk levels of nine travertines in the Yaprakhisar Balkayası regions Turkey. The samples coded B1-M, B2, B5, B7, B8, B10 represent waste derived from travertines, as well T5-M, T12, Z1 Balkayası. ( 232 Th, 40 K, 137 Cs) were measured using a high-purity germanium (HpGe) detector system. travertine activity ranged 2.09 12.07 Bq kg −1 for 4.21 13.41 0.42–3.26 Cs. results showed that concentration values Cs coherent with analysis UNSCEAR, 2000; 2008 publications. obtained lower than average UNSEAR reports. radiological hazard parameters calculated this absorbed gamma dose rate (D), radium equivalent (Ra eq ), annual gonadal (AGDE), exposure (ER), total effective (AEDE excess lifetime cancer (ELCR representative level (GRL), internal index (H ) external ex ).

Language: Английский

Citations

2
Spatial distribution of uranium and chemo-radiological assessment in Hamirpur district, Himachal Pradesh, India DOI

Shefali Bhardwaj,

Dericks Praise Shukla, Aditi Halder

et al.

Journal of Radioanalytical and Nuclear Chemistry, Journal Year: 2020, Volume and Issue: 324(2), P. 467 - 480

Published: April 15, 2020

Language: Английский

Citations

18
Determination of Radionuclides Concentrations in Surface Soil Samples in the District of Bandirma, Balıkesir DOI
Ahmet Bilici, İsmail Koçak, Sevim Bilici

et al.

Environmental Forensics, Journal Year: 2023, Volume and Issue: 25(4), P. 191 - 204

Published: June 17, 2023

Determination of the environmental radioactivity concentration value is very important as it directly effects human health. Natural and artificial radionuclide levels have been determined by looking 226Ra, 232Th, 40K, 137Cs radionuclides. In this study, natural continental concentrations were measured in Bandirma district Balikesir. detected with aid a high-purity germanium (HpGe) detector. Soil samples used study selected from 30 different locations sampling points located Bandirma. The radiological hazard indices such absorbed gamma dose rate (D), annual gonadal equivalent (AGDE), exposure (ER), total effective (AED), excess lifetime cancer risk (ELCR), internal index (Hin), external (Hex) representative level (GRL) determined. mean values 15.81 ± 1.35 Bq kg−1, 28.86 1.07 276.86 11.69 1.98 0.31 kg−1 respectively. calculated parameters compared world averages. obtained to be below average.

Language: Английский

Citations

4
Statistical analysis for 134Cs and 137Cs radioactivity risk levels modeling DOI
Ahmet Bilici, Sevim Bilici, Fatih Külahçı

et al.

Journal of Radioanalytical and Nuclear Chemistry, Journal Year: 2020, Volume and Issue: 326(2), P. 1047 - 1064

Published: Oct. 10, 2020

Language: Английский

Citations

7
A mobile simulation and ARIMA modeling for prediction of air radiation dose rates DOI
Hemn Salh, Fatih Külahçı, Serpil Aközcan

et al.

Journal of Radioanalytical and Nuclear Chemistry, Journal Year: 2021, Volume and Issue: 328(3), P. 889 - 901

Published: April 29, 2021

Language: Английский

Citations

7
Influence of extraction process on Cs isotope ratios for Fukushima Daiichi nuclear power plant accident-contaminated soil DOI
Hiroaki Takahashi,

Ki Chul Park,

Masao Nomura

et al.

Journal of Radioanalytical and Nuclear Chemistry, Journal Year: 2021, Volume and Issue: 329(1), P. 327 - 336

Published: June 21, 2021

Language: Английский

Citations

5
Cumulative Ordinary Kriging interpolation model to forecast radioactive fallout, and its application to Chernobyl and Fukushima assessment: a new method and mini review DOI
Fatih Külahçı, Zekâi̇ Şen

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 29(43), P. 64298 - 64311

Published: July 16, 2022

Language: Английский

Citations

2
A mobile simulation and ARIMA modeling for prediction of air radiation dose rates DOI Creative Commons
Hemn Salh, Fatih Külahçı, Serpil Aközcan

et al.

Research Square (Research Square), Journal Year: 2021, Volume and Issue: unknown

Published: April 7, 2021

Abstract A spatial simulation method in .mp4 format was proposed to determine Fukushima radioactive fallout transport and the Absorbed Dose Rate, Annual Effective Equivalent, Excess Lifetime Cancer Risk were determined for 10 months after accident (March 11 2011). The findings of this study demonstrate that an appropriate ARIMA model can be applied radiation dose time-series case nuclear reactor accidents like Chernobyl predict future air rates, which provide valuable information determining evacuation zones, decontamination processes, protection progresses. forecasted results actual observation data same period shows a gradual decrease rates during prediction period. Moreover, there is good agreement between them as scatter plot follows each other with small variations. These important insights into predictability models; thus, models utilized forecast (January 2020 - October 2020).

Language: Английский

Citations

0