Literature DB >> 36148279

Assessment of radioactivity levels in shore sediments along the coastline of the Orange River, Oranjemund, Namibia.

Sylvanus Ameh Onjefu1, Aina Nancy Iyaloo Kauluma1, Munyaradzi Zivuku1, Emmanuel Ejembi1, Roswita Hambeleleni Hamunyela2, Bismark Mzubanzi Tyobeka3.   

Abstract

The objective of present study was to evaluate the activity concentrations of 238U, 232Th and 40K and radiological hazards due to gamma exposure of shore sediment along the coastline of the Orange River, Oranjemund, Namibia. A total of 20 shore sediment samples were collected along the coastline of the Orange River. Shore sediment samples were analyzed using a Canberra Gamma Spectrometric detector inter phased with a multichannel analyzer (MCA) that was well calibrated for energy and efficiency respectively. The mean activity concentrations of 238U, 232Th and 40K for the shore sediment samples were 63.46 ± 9.83 Bqkg-1, 54.88 ± 5.03 Bqkg-1 and 416.99 ± 57.85 Bqkg-1 respectively. The mean activity concentrations of 238U, 232Th and 40K in the shore sediment samples were slightly higher than world reference levels. Also, the radiological hazards parameters of absorbed dose rates, annual effective dose equivalent (outdoor) and the excess lifetime cancer risk for the Orange River shore sediment samples were calculated. The mean values calculated for absorbed dose rates (63.98 nGy/h), annual effective dose equivalent (outdoor) (0.78 mSv/y) and excess lifetime cancer risk (2.73) were higher than the recommended limits, therefore long term radiation exposure of the local population along the coastline of the Orange River may pose significant health threat from radiological point of view.
© 2022 The Author(s).

Entities:  

Keywords:  Excess lifetime cancer risk; Orange river; Radiological risk assessment; Shore sediments

Year:  2022        PMID: 36148279      PMCID: PMC9485047          DOI: 10.1016/j.heliyon.2022.e10579

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


Introduction

Radiation is ubiquitously present in the environment due to natural sources such as radionuclides from terrestrial origin found in rocks, soil, food and water and radionuclides from the cosmic sources which are as a result of bombardment of heavy nuclei with other particles in the atmosphere (Orosun et al., 2021). Terrestrial radionuclides varies in spatial and temporal which is governed by the prevailing climatic conditions and the geology of the location, which influences the type of rock and soil (UNSCEAR, 2000; Onjefu et al., 2021a). Exposures to terrestrial gamma rays and to cosmic rays are the main components of an individual radiation doses received in the biosphere (Lilley, 2001). The exposure to human population to elevated levels of ionizing radiation is harmful and can lead to cancer and other sicknesses caused by radiation (UNSCEAR, 2000; Orosun, 2016). Studies have shown that the increased levels of natural radioactivity in the environment are caused by both natural processed and human activities (Garba et al., 2008; Cember and Johnson, 2009; Taskin et al., 2009). For example, when rocks disintegrate through natural processes, radionuclides are released and carried away to soil, rivers, sediments and ocean by rain and flows (Taskin et al., 2009). Also, human activities such as mining, agricultural activities and atomic bomb testing also affect the levels of natural radioactivity in the environment (Oluyide et al., 2019; Amwaalanga et al., 2019; Onjefu et al., 2021b). There has been a growing public concern in areas, which has been polluted by radioactive material due to chemical toxicity of uranium (Choy et al., 2006; ICRP, 1991; Miller and McClain, 2007). These radionuclides may be leached in the soil or transported to water bodies where they ultimately sinks and then incorporated into sediments where they may present a health risk to the human population. In Namibia, the measurements of the activity concentrations of 238U, 232Th and 40K in different environmental matrices have been reported (Steinhausler and Lettner, 1992; Oyedele et al., 2010; Onjefu et al., 2017; Amwaalanga et al., 2019; Zivuku et al., 2018; Onjefu et al., 2021a, Onjefu et al., 2021b). For example, the study undertaken by Steinhausler and Lettner (1992) and Onjefu et al. (2017) showed that some regions of Namibia have high background radiation. Also, the study by Amwaalanga et al. (2019) indicated slightly high levels of natural radioactivity in river sediments which may be attributed to the use of agrochemicals such as fertilizers for agricultural practices along the bank of the Zambezi River at Katima Mulilo. As one important economic and ecological zones on the Earth, shores of coastlines are a significant place of leisure and agricultural activities. Shore sediments also serve as habitat to crabs, bivalves and other rare marine organisms (Xinming and Wuhui, 2018). The levels of 238U, 232Th and 40K in sediments along coastline from different parts of the world have been well-documented (Abdi et al., 2008; Akram et al., 2006, 2007; Alam et al., 1999; Omeje et al., 2021; Khandaker et al., 2018; Xinming and Wuhui, 2018). However, only the study undertaken by Onjefu et al. (2017) and Amwaalanga et al. (2019) looked at naturally occurring radionuclides in shore sediments in Namibia even though the study reported by Onjefu et al. (2017) showed elevated levels of natural radioactivity in shore sediments along the coastline of the Erongo region of Namibia. The objective of this present study is to assess the levels of natural radioactivity in the shore sediments of the Orange River, and evaluate the radiological hazards along the coastline. The findings from this study will serve as radiological database for the region and for future planning purposes regarding radiological mapping of the region.

Materials and methods

Study area

The Orange River is Southern Africa’s longest waterway. River Basin extends extensively into South Africa, Namibia, and Botswana to the north and its size is approximately 973 000 km2. The river has a total length of 2,200 km. The present study was undertaken along the coastline of the Orange River at Oranjemund and it is situated at Latitude – 28O37’59.99’’S and Longitude 16O26’59.99’’E (Figure 1). The geological setting of the Orange River at Orajemund is characterized by a distinctive cutting through the Mesoproterozoic Namaqua metamorphic complex (Thomas et al., 1994; Jacobs et al., 2008) and existing through the Neoproterozoic Gariep Belt (Frimmel et al., 2004) at the mouth of the river joining the Atlantic Ocean. There are a number of human activities along the bank of the Orange River at Oranjemund. Some of these activities includes mining activities, crops and small life stocks farming.
Figure 1

Study area and distribution of river sediment sample at Orange River, Oranjemund.

Study area and distribution of river sediment sample at Orange River, Oranjemund.

Sample collection and preparation

In this study, primordial radionuclides were measured in shore sediments samples using a high-purity germanium (HPGe) detector. About 1000 g samples were collected from a distance of 12 m parallel to the shoreline along the coastline of the Orange River using purposive stratified random sampling. A total of twenty (20) samples were collected from 11 cm depths because the vertical heterogeneity may represent many years of shore sediment changes. The samples were kept in cleaned and numbered polyethylene bags and all the sampling points from the identified sampling sites were marked by means of a Global Positioning System device (GPS) with model GPSMAP 62S and serial number IPH-01699. The collected samples were oven dried at 120 degrees Celsius for 12 h to dry off all the moisture. The samples were thoroughly mixed, ground and homogenised. About 500 ± 0.001 g of the homogenised samples were carefully packed in well labelled 500 ml beakers, sealed hermetically and kept for 30 days for the samples to achieve secular equilibrium (Onjefu et al., 2017). The radioactivity in the collected samples were measured using a coaxial (62.80 × 64.80 mm) Canberra gamma-ray spectrometer HPGe detector Model No. GC4520 SN 10882 with 45% relative efficiency and resolution of 2.00 keV (FWHM) at 1.33 MeV peak of Co-60 and 1.200 keV (FWHM) at 122 keV. The detector has end cap outside diameter of 3.25 “Dia with a front window of 1 mm thick Al and end cap length of 5.25 “length. To minimize the effect of scattered radiation and avert increase environmental count, from the shield, detector is situated in the middle of the chamber. The gamma spectrometry was calibrated for energy and efficiency using mixed radionuclides standard with a wide a range of gamma-ray energies 0.060 MeV–2 MeV in a 500ml beaker. These standards were supplied by Eckert & Ziegler Nuclitec GmbH, Germany, SN. AM 5599 and validated using IAEA NORMs reference material RGK-1, RGTh-1 and RGU-1. A computer based Multichannel Analyser (MCA) Genie 2000 software from Canberra was used for data acquisition and analysis of gamma spectra which identified background radiation from the recognized nuclides. The samples were counted for 43200 s with background count subtracted from the net count. For quality control, calibration for energy and efficiency was done in order to maintain quality of the measurements. The 295.22 keV, 351.93 keV for 214Pb and 609.32 keV, 1120.29 keV and 1764.49 keV for 214Bi gamma lines were used in the assessment of activity concentration of 238U, while 911.21 keV for 228Ac, 968.97 keV and 238.63 keV for 212Pb were used for 232Th. The single 1460 keV Gamma-line of 40K was used in its content evaluation. The activity concentration of individual radionuclides in all the river sediment samples investigated was calculated using the following expression in Eq. (1) (Amin et al., 2013).where A is the specific activity in Bq/kg of each radionuclide in the sample, N is the net peak count rate of the resulting photo-peak, is the detector efficiency of the specific gamma-ray, is the gamma emission probability of the corresponding gamma energy, is the counting time of the sample and M is the sample mass in kg. The error associated with every activity calculation was computed by the standard deviation Eq. (2) (Amin et al., 2013), derived from the uncertainty budget. The equal counting time for both background and sample was chosen to minimize the uncertainty in the net counts,where is the uncertainty of the sample measured and , , , ΔM, and are the uncertainties of the net count rate, efficiency, gamma emission probability, sample weight, and counting time respectively.

Measurement of radiological hazard parameters

Absorbed dose rate (ADR)

The absorbed dose rate is directly linked to the health risks related to human radioactivity exposure. ADR was calculated according to Eq. (3) (UNSCEAR, 2000; Beretka and Mathew, 1985).where C is the activity concentration of the primordial radionuclide in Bq/Kg.

Annual effective dose equivalent (AEDE)

The absorbed dose rate does not provide us with enough information to estimate the human radiological risk, thus the conversion factor and the occupancy factors are taken into account to convert from absorbed dose to annual effective dose. For calculation purposes, a conversion factor of 0.7 Sv/Gy is used to convert the absorbed rate to a human effective dose with an outdoor occupancy of 20 % and 80 % for indoor (UNSCEAR, 2000). The annual effective dose equivalent was evaluated using Eq. (4) (Sivakumar et al., 2014):where AEDE is the annual effective dose (mSv), D is the absorbed dose rate (nGy/h), T is the outdoor occupancy time (365 days × 24 h x 0.2) and is the conversion factor 0.7 (x ( mSv/nGy )).

Excess lifetime cancer risk (ELCR)

The excess lifetime cancer risk indicates the risk of death in a population brought on by cancer due to exposure to background radiation in excess resulting from a lifetime exposure to carcinogens. It indicates how many more additional cases of cancer one would expect in a population of people exposed to an excess amount of carcinogens for an average duration of life which is 70 years. The excess lifetime cancer risk is calculated according to Eq. (5) (Taskin et al., 2009):where AEDE (out) is the annual effective dose equivalent outdoors , DL is the average duration of a lifetime which is 70 years, and RF is the risk factor (0.05 Sv−1). The risk factor is the fatal cancer risk per Sievert (Taskin et al., 2009).

Results and discussion

238U, 232Th and 40K activity concentrations

The measured activity concentrations of 238U, 232Th and 40K and the calculated results of absorbed dose, annual effective dose equivalent and excess lifetime cancer risk for the 20-shore sediment samples are presented in Table 1. The mean activity concentrations were measured in Bq/kg and found to be 63.46 9.85, 54.88 5.03, and 416.99 57.85 respectively in the order 40K 238U 232Th. Their maximum activity concentrations in Bq/kg were 114.27 23.45 for 238U, 91.20 9.22 for 232Th, and 473.37 63.44 for 40K and their minimum activity concentrations were 33.67 23.45 (238U), 37.15 3.03 (232Th), and 330.39 47.53 (40K) in Bq/kg, respectively. The activity concentration of potassium was found to be higher than the activities of thorium and uranium and revealed that the sediments samples from the study area is enriched with potassium which may be partly attributed to the chemical contents in the fertilizers rich in potassium applied to the soil in farming activities along the coastline and also due to the presence of loamy and clay sediments (El-Gamal et al., 2007; Reda et al., 2018; Amwaalanga et al., 2019). The average activity concentrations of 238U, 232Th and 40K exceeded the world average value of 35 Bq/kg, 30 Bq/kg and 400 Bq/kg respectively (UNSCEAR, 2000).
Table 1

Activity concentrations and radiological health risk parameters in shore sediment from Orange River.

Sample IDActivity concentration (Bq/kg)
ADR (nGy/h)AEDE (out) (mSv/y)ELCR (10−3)
U-238Th-232K-40
O159.80 ± 9.2146.43 ± 5.01438.36 ± 62.2157.900.712.49
O271.28 ± 8.0254.77 ± 5.21390.39 ±53.1260.990.752.63
O380.13 ± 20.0556.57 ± 5.32404.69 ±60.0164.760.792.77
O433.67 ± 2.9237.24 ± 3.22461.82 ± 63.4152.550.642.24
O545.58 ± 3.9437.15 ± 3.03446.38 ± 63.0250.220.622.17
O678.27 ± 9.0463.00 ± 5.72416.89 ± 60.4271.050.873.05
O772.75 ± 8.1158.96 ± 5.61395.81 ± 53.3367.690.832.91
O849.43 ± 4.0144.23 ± 4.61458.81 ± 63.4058.200.712.49
O986.88 ± 21.1267.01 ± 5.80383.16 ± 48.0273.170.903.15
O1053.07 ± 7.0438.27 ± 3.05473.75 ± 63.5253.480.662.31
O1157.24 ± 8.2142.65 ± 3.24473.37 ± 63.4456.390.692.42
O12BDL79.44 ± 6.01451.97 ± 63.2282.321.013.54
O1359.27 ± 9.2240.30 ± 3.95330.39 ± 47.5349.170.602.10
O1474.09 ± 9.0161.25 ± 5.72409.48 ± 60.1168.470.842.94
O1559.53 ± 8.8241.00 ± 3.97437.83 ± 63.1153.770.662.31
O1677.26 ± 9.1176.43 ± 6.71400.22 ± 58.0280.270.983.43
O1767.01 ± 8.8349.23 ± 4.76398.24 ± 50.3260.650.742.59
O18114.27 ± 23.4591.20 ± 9.22397.89 ± 50.3190.421.113.89
O1970.47 ± 8.0366.94 ± 5.71411.92 ± 60.0173.030.903.15
O2059.21 ± 9.0145.46 ± 4.65358.42 ± 50.5255.080.682.38
MinimumBDL37.15 ± 3.03330.39 ± 47.5349.170.602.10
Maximum114.27 ± 23.4591.20 ± 9.22473.37 ± 63.4490.421.113.89
Mean63.46 ± 9.8554.88 ±5.03416.99 ± 57.8563.980.782.73
WAV3530400590.070.29

BDL = below detection limit; WAV = World average value (UNSCEAR, 2000).

Activity concentrations and radiological health risk parameters in shore sediment from Orange River. BDL = below detection limit; WAV = World average value (UNSCEAR, 2000).

Radiological hazards indices

Table 1 displays the calculated values of absorbed dose rate (ADR), annual effective dose equivalent and the excess lifetime cancer risk (ELCR) obtained. The results showed that the values ranged from 49.17 to 90.42 nGy/h for ADR, 0.60–1.11 mSv/y for AEDE (outdoor) and 2.10 to 3.89 for ELCR respectively. The mean values obtained were found higher than the world recommended limits of 59 nGy/h, 0.07 mSv/y and 0.29 respectively for ADR, AEDE and ELCR (UNSCEAR, 2000). The implications of these high values which are above the critical limits is the possibility of the development of cancer in the region in the future.

Comparison of activity concentrations and absorbed dose rate with similar studies

The activity concentrations of 238U, 232Th and 40K assessed and the calculated absorbed dose rate in this present study compared with those in other areas is presented in Table 2 and Figure 2 respectively. The compared activity concentrations showed that the activity concentrations were above the recommended world values and the studies reported for China, Egypt, Nigeria as well as that of local monitoring done in Katima (Namibia) for 238U, World, China, Egypt, Henties Bay, Katima (Namibia), Malaysia and South Africa for 232Th and World, China, Egypt, Henties Bay (Namibia), Katima (Namibia), Malaysia and South Africa for 40K respectively. However, lower than the activities reported for Henties Bay (Namibia) for 238U, and Nigeria for 232Th and 40K respectively.
Table 2

Comparison of activity concentrations of 238U, 232Th and 40K from this study with other studies around the world.

S/NLocation238U232Th40KReferences
1.World3530400UNSCEAR (2000)
2.China11.99.639.6Xinming and Wuhui (2018)
3.Egypt22.711.693.0Harb (2008)
4.Nigeria26.155.6499.3Omeje et al. (2021)
5.Hentis Bay, Namibia175.5940.17349.66Onjefu et al. (2017)
6.Katima, Namibia18.9115.5879.17Amwaalanga et al. (2019)
7.MalaysiaND5.9102Khandaker et al. (2018)
8.South AfricaND4.833.5Newman et al. (2008)
9.Orange River, Oranjemund, Namibia63.4654.88416.99Present Study

ND = No data.

Figure 2

Comparison of absorbed dose rate of present study with others around the world.

Comparison of activity concentrations of 238U, 232Th and 40K from this study with other studies around the world. ND = No data. Comparison of absorbed dose rate of present study with others around the world. Figure 2 shows a comparison of the absorbed dose rate of the present study with others reported around the world. The absorbed dose rate evaluated from this current work was found higher than those calculated in Katima (Namibia), India, Egypt, China and UNSCEAR recommended value while lower than those reported for Nigeria, and Henties Bay (Namibia) (Ononugbo et al., 2016; Onjefu et al., 2017; Amwaalanga et al., 2019; Havikrishnan et al., 2018; Sivakumar et al., 2014; Atef et al., 2018; Xinming and Wuhui, 2018; Omeje et al., 2021; UNSCEAR, 2000). The present study shows that the mean absorbed dose rate is 1.08 times higher than the world recommended limit. The level of gamma radiation is directly associated with the activity concentrations of radionuclides in the river shore sediments and cosmic rays (Taskin et al., 2009).

Statistical analysis

The statistical interpretations are presented in Table 3. The statistical data depicts the distributive pattern of radionuclides. The Skewness characterizes the degree of asymmetry of a distribution around its mean (Groeneveld and Meeden, 1984). In this study, the skewness of the activity concentrations of 238U and 40K were negative which indicates a distribution with an asymmetric tail extending towards values that are more negative while the activity of 232Th had positive skewness which shows that 232Th had distribution with an asymmetric tail extending towards values that are more positive.
Table 3

Basic Statistics of the measured data.

238U232Th40K
Mean63.460554.8765416.9895
Standard Error5.0737363.4667778.522267
Median63.40552410.7
Standard Deviation22.6904415.503938.11274
Sample Variance514.856240.37091452.581
Kurtosis3.087178-0.07249-0.09476
Skewness-0.674370.802049-0.3441
Range114.2754.05143.36
MinimumBDL37.15330.39
Maximum114.2791.2473.75
Sum1269.211097.538339.79
Count202020
Basic Statistics of the measured data. The measure of probability distributive nature of a real-value random variable is known as the kurtosis. It is the measure of peakedness or flatness of a distribution when compared with a normal distribution. A positive kurtosis is indicative of a relative peaked distribution while a negative kurtosis represent a flat distribution (Sivakumar et al., 2014). In this present study, 238U have positive kurtosis while 232Th and 40K had negative kurtosis. In order to test the correlations between the activity concentrations of 238U versus 232Th, 232Th versus 40K and 238U versus 40K, the activity obtained for 238U, 232Th and 40K were plotted as shown in Figures 3, 4, and 5 respectively. A weak positive correlation was found to exist between 238U and 232Th (R = 0.1528) which indicates a weak natural abundance of 238U and 232Th over period of times through their decay process while a weak negative correlation and insignificant correlation was found between 238U and 40K (R = 0.2337) and 232Th and 40K (R = 0.0604) which indicate the anomaly in potassium existence on earth crust due to human activity.
Figure 3

The correlation between 238U and 232Th.

Figure 4

The correlation between 232Th and 40K.

Figure 5

The correlation between 238U and 40K.

The correlation between 238U and 232Th. The correlation between 232Th and 40K. The correlation between 238U and 40K.

Conclusion

The activity concentrations of natural radionuclides from shore sediments along the coastline of the Orange River in Oranjemund, Namibia has been determined using a Canberra Gamma Spectrometry high purity germanium (HPGe) detector. The radionuclides detected were 238U, 232Th and 40K. The mean activity concentrations of 238U, 232Th and 40K were slightly higher when compared with worldwide average values. To quantify the effects associated with gamma rays from 238U, 232Th and 40K was calculated using the radiological parameters of absorbed dose rate, annual effective dose equivalent and excess lifetime cancer risk. The calculated values of the radiological parameters were found to be slightly above the recommended limits. The data obtained in this study may provide a general background concentration for the area and maybe useful in providing a guideline for future radiological investigation in the region. The radiological finding from the study may be used as a reference data for radionuclide monitoring and evaluation of natural radioactivity levels in the future.

Declarations

Author contribution statement

Onjefu SA, Kauluma ANI, Ejembi E, Zivuku M: Conceived and designed the experiments; Performed the experiments; Wrote the paper. Hamunyela RH, Tyobeka MB: Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data availability statement

Data included in article/supp. material/referenced in article.

Declaration of interest’s statement

The authors declare no conflict of interest.

Additional information

No additional information is available for this paper.
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