Research Article | | Peer-Reviewed

Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania

Received: 27 June 2026     Accepted: 11 July 2026     Published: 18 August 2026
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Abstract

Environmental radioactivity monitoring is essential for assessing potential exposure risks to humans and marine ecosystem, particularly in coastal marine areas where anthropogenic and natural radionuclides may accumulate. However, research studies on natural radioactivity in Tanzania's coastal marine areas remain scarce. This study was therefore conducted to assess the radioactivity levels of natural radionuclides (226Ra, 232Th, and 40K) in marine sediments and fish samples from the Tanzanian coastal areas, and to estimate the associated radiological health hazards for both humans and marine ecosystem. A total of 49 samples comprising both sediment and fish were randomly collected from 12 coastal sites and composited for analysis. Radioactivity concentrations were measured using gamma spectrometry. For fish samples, the mean activity concentrations were 4.9 ± 1.9 Bq kg⁻1 dry weight (dw) for 226Ra, 488.8 ± 34.1 Bq kg⁻1 dw for 40K, while 232Th was below the detection limit. In sediments, the corresponding mean values were 15.1 ± 2.2, 14.9 ± 2.0, and 320.8 ± 27.4 Bq kg⁻1 dw for 226Ra, 232Th, and 40K, respectively. Based on these data, a comprehensive set of radiological hazard indices was computed, including radium equivalent activity (Raₑq), absorbed dose rate (D), annual effective dose equivalent (Eₑff), external and internal hazard indices (Hₑₓ and Hᵢₙ), representative gamma index (Iᵧ), annual gonadal dose equivalent (AGDE), excess lifetime cancer risk (ELCR), and annual effective dose (AED). The results showed that the computed total annual effective committed dose for fish consumption was below the 1 mSv y⁻1 as recommended by the ICRP, although the mean 40K activity in fish exceeded the global average of 420 Bq kg⁻1. All evaluated hazard indices (Raeq, Hex, D, Eeff, Iγ, AGDE, and ELCR) for sediments, as well as Hᵢₙ and ELCR for fish, were within permissible levels values. In conclusion, the current radioactivity levels in the studied coastal area do not pose a significant radiological risk to human health or the marine ecosystem. Nevertheless, it is advisable to keep monitoring for purpose of detecting any future changes due to natural or anthropogenic influences.

Published in Advances in Applied Sciences (Volume 11, Issue 3)
DOI 10.11648/j.aas.20261103.18
Page(s) 121-138
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Natural Radioactivity, Gamma Spectrometry, Fish, Marine Sediments, Radiological Hazards Indices, 226Ra, 40K, Tanzania Coastal Areas

1. Introduction
Coastal areas are in many cases considered highly favorable for various socio-economic activities including manufacturing, mining, agriculture, oil and gas exploration, tourism and fisheries . It is for this reason coastal areas are generally highly populated. Because of the large population coupled with different economic activities, these areas are prone to environmental pollution caused by organic, chemicals and mineral contaminants produced from the economic activities . Among the chemical contaminants of concern are the radionuclides. These are elements that reside in different environments including soil, underground water, marine sediment, sand beach and biota (both flora and fauna).
Although radionuclides are naturally present in the environment at low concentrations, their concentration may be significantly escalated by the release of radioactive wastes from different economic activities . The released radionuclides may enters the marine environment directly or indirectly through different pathways, including rivers and rainwater which discharge the waste into the sea. It follows that, radionuclides in the coastal areas may be classified as primordial, cosmogenic and anthropogenic radionuclides. Anthropogenic radionuclides mostly originate from socio-economical activities such as gas and oil production, fertilizer production, mineral exploration and mining . Anthropogenic radionuclides may also originate from activities like nuclear tests and operation of nuclear reactors. Nuclear reactor accidents, such as those of Chernobyl (1986) and Fukushima (2011) that happened in the past are also a considerable source of anthropogenic radionuclides .
The presence of radionuclides, irrespective of their category, in the environment may lead to radiation exposure to both human beings and animals . According to UNSCEAR (United Nations Scientific Committee on the Effect of Atomic Radiation) , natural radionuclides contribute the largest share of radiation exposure to the world population, giving an average annual effective dose of about 2.4 mSv. Of this, decay series radionuclides (mainly from the Uranium (238U) and Thorium (232Th) series, including radon and its progeny) contribute roughly 70-80% of the total dose, while primordial radionuclides such as Potassium (40K) account for about 15-20%. Continuous exposure to ionizing radiation may pose serious harmful biological effects such as DNA (deoxyribonucleic acid) damage or cancer . Hence, there is need to monitor and control the concentrations of radionuclides in the environment in order to maintain the safety of populations.
As coastal areas host large populations, it is important to have a clear knowledge of the concentrations and distribution of radionuclides in the seafood, soil, water, air and sediments . Although the distribution and level of natural radionuclides has been studied widely over the world, a few studies are available in sub-Saharan Africa focusing heavily on countries bordering the Mediterranean and Red seas . In Tanzania no data on radionuclide pollution have been published along the coastal areas except some studies that have been reported on radioactivity focus on soils, surface water, fish and foodstuff around mining and phosphate industries . This lack of data hinders the development of an effective regulatory framework for radiation protection in this study area.
Tanzania’s coastal area has recently been experiencing rapid changes due to urbanization and industrialization in such way there is a significant increase of buildings and road construction as well as the use of fertilizer and pesticides in farming . Also, activities like mining, gas and oil exploration and production have all increased significantly. Despite the economic benefits of these activities, it is envisaged that the generation of solid wastes in coastal areas will reach about 26 million tons by the end of 2030 . This implies that there some possibility of elevation of radioactivity concentrations in the marine environment, which may lead to detrimental effect to the coastal habitats. Therefore, monitoring the radioactivity pollution in these areas is of paramount importance in order to ensure the population safety. Hence, this study is set to assess the radioactivity levels and the associated radiological risks in Tanzania’s coastal marine environment and then estimating the annual effective dose due to consumption of fish. Understanding the radiological risk associated with anthropogenic activities and annual effective dose due to consumption of fish is essential for improving safety measures and environmental practices. Also the result of this study will help the regulatory bodies in formulating radiation protection policies and determine the suitability of using sediments material for various applications.
2. Materials and Methods
2.1. Study Area
Tanzania coastal area covers a distance of over 800 km stretching from latitude 4° 49' S to latitude 10° 28' S and respective longitudes 38° and 42° E as shown Figure 1. The study area is characterized with primarily of Mesozoic to Cenozoic sedimentary rocks basins (sandstone, shale limestone). The sedimentary rocks, vary in age from Jurassic, cretaceous to tertiary and quaternary. Also, the study area is featured shallow, unconfined, and semi-confined alluvial and limestone aquifer with vulnerable to saltwater intrusion and major river deltas. The drainage pattern is of perennial and seasonal rivers draining into the Indian Ocean basin. The major rivers including Pangani, Wami, Ruvu, Rufiji and Ruvuma. The other small rivers are Matandu, Mbwemkuru, Lukuledi, and Msimbazi . Other features of the study area include estuaries, mangrove forests, coral reefs, sandy beaches, cliffs, seagrass beds and muddy tidal flats. The study area is also characterized by three big ports which are Dar es Salaam port, Tanga port and Mtwara port as displayed in Figure 1. This area was of interest to this study because of the activities in the region. For instance along rivers Wami, Ruvu and Pangani there are a big farms of rice, maize and other crops. Meanwhile, natural gas extraction is taking place at Songosongo Island in Lindi region, as well as Mnazi Bay and Madimba in Mtwara region. These activities produce wastes that are discharged to marine environments through rivers such as Matandu, Mbwemkuru, Lukuledi and Ruvuma. Besides, all industries operating in Dar es Salaam, Tanga, Lindi and Mtwara are discharge their waste to marine areas through either of the mentioned rivers.
Figure 1. Map of the Coastal area of Tanzania showing the sampling Stations (Source: IRA GIS Lab).
2.2. Sample Collection and Preparation
A total of 49 samples were first randomized to minimize impartiality and then composited to reduce objectivity and then manageable samples were collected under the study area. Out of these, 12 fish samples were randomly collected from fishermen in the fishing areas around ferries at Dar es Salaam, Tanga and Mtwara. Table 1 shows the fish species names and their sources.
Table 1. The sampled fish species and their source.

S/No.

Species Name

Common name

Local name

Sample Code

Source

1

Scarus Sordidus

Parrot fish

Pono

F 001

Marine water

FT 002

Marine water

FM 002

Marine water

2

Epinephelus Caeruleopunctatus

Grouper fish

Chewa

F 002

Marine water

FT 001

Marine water

FM 003

Marine water

3

Panaeus Monodon

Prawns

Kamba Mti

F 003

Marine water

FT 003

Marine water

FM 001

Marine water

4

Caranx Melampygus

Jack Fish

Kolekole

F 004

Marine water

FT 004

Marine water

FM 004

Marine water

Meanwhile, 37 sediment samples were randomly collected from estuaries, sewage pipelines, areas around ports and ocean during low tide. These samples were collected along the coastline at points separated by a distance of 200 m. Each sample was collected at a depth of 5 - 10 cm using open end stainless-steel hand-held Auger corer with a 70 mm diameter. Table 2 shows the sediment samples with their identity and locations. One should note that, in some areas samples were not collected due to several challenges at the sites.
Table 2. Samples Identity and locations in Estuaries, Sewage discharge and Port areas along the Coastal Marine areas of Tanzania.

S/No.

Sample Code

Type of Sample

Location

1

F 001

Fish

Dar es Salaam Ferry

2

F 002

Fish

Dar es Salaam Ferry

3

F 003

Fish

Dar es Salaam Ferry

4

F 004

Fish

Dar es Salaam Ferry

5

FT 001

Fish

Deep Sea Tanga Ferry

6

FT 002

Fish

Deep Sea Tanga Ferry

7

FT 003

Fish

Deep Sea Tanga Ferry

8

FT 004

Fish

Deep Sea Tanga Ferry

9

FM 001

Fish

Mtwara Ferry

10

FM 002

Fish

Mtwara Ferry

11

FM 003

Fish

Mtwara Ferry

12

FM 004

Fish

Mtwara Ferry

13

E6 001

Sediments

Upper Msimbazi River

14

E6 002

Sediments

Down Msimbazi River

15

E6 003

Sediments

Midpoint Msimbazi & Ocean

16

E6 004

Sediments

Upper Msimbazi River

17

E6 005

Sediments

Along the Ocean

18

E7 001

Sediments

Midpoint Mzinga & Kizinga

19

E7 002

Sediments

Upper Mzinga river

20

E7 003

Sediments

Upper Kizinga river

21

SWP 001

Sediments

Sewage discharge point Dar

22

SWP 002

Sediments

Sewage discharge point Dar

23

SWP 003

Sediments

Sewage discharge point Dar

24

SWP 004

Sediments

Sewage discharge point Dar

25

DP 001

Sediments

Dar port near Ferry

26

DP 002

Sediments

Dar port near Ferry

27

DP 003

Sediments

Dar point near Ferry

28

E1 001

Sediments

Midpoint Pangani & Ocean

29

E1 002

Sediments

Down Pangani river

30

E1 003

Sediments

Down Pangani river

31

E1 004

Sediments

Upper Pangani river

32

SWPT 001

Sediments

Sewage discharge point Tanga

33

SWPT 002

Sediments

Sewage discharge point Tanga

34

SWPT 003

Sediments

Sewage discharge point Tanga

35

SWPT 004

Sediments

Sewage discharge point Tanga

36

SWPT 005

Sediments

Sewage discharge point Tanga

37

TP 001

Sediments

Baggage point at Tanga port

38

TP 002

Sediments

Dredging area at Tanga port

39

TP 003

Sediments

Dredging area at Tanga port

40

TP 004

Sediments

Dredging area at Tanga port

41

TP 005

Sediments

Dredging area at Tanga port

42

E4 001

Sediments

Upper Matandu river

43

E4 002

Sediments

Down Matandu river

44

E4 003

Sediments

Midpoint Matandu & Ocean

45

E4 004

Sediments

Upper Matandu river

46

MP 001

Sediments

Mtwara Ferry near port

47

MP 002

Sediments

Mtwara Ferry near port

48

MP 003

Sediments

Mtwara Ferry near port

49

MP 004

Sediments

Mtwara Ferry at cargo point

All these samples were packed in air tight polyethylene bags, stored in ice box and transported to TAEC (Tanzania Atomic Energy Commission) laboratories for preparation and analysis. The sediments samples were air dried under shade for about seven hours then dried in an automatic oven for about three days at a temperature 80°C until constant weight was reached, in order to evaporate water until only the dried sediment remained. Then, the samples were ground with machine and cleaned with acetone to avoid contamination; then sieved to powder of 500 µm grain size. The samples were then weighed and packed in well labelled and air tight canisters of a specific geometry (100mm diameter and 40 mm in height) similar to that of the calibration source provided by IAEA (International Atomic Energy Agency). All the canisters containing samples were then stored for 30 days for uranium and thorium radionuclide daughters to attain secular equilibrium between short- lived and respective long-lived (226Ra from 238U) and (228Ra from 232Th) before gamma spectrometric analysis . The guidelines regarding the measurement of radionuclides in food and the environment were observed throughout, as guided by IAEA .
In the case of fish samples, the collected fishes were of approximately the same size and identified with the help of ferry fishery officers and fishermen. First, fish samples were melted naturally at room temperature, then rinsed using deionized water. Afterwards, each fish was dissected to remove edible tissues. The tissues were air-dried and then oven-dried at a temperature of 80°C for about three days until they reached constant weight (to ensure that they were completely dried). The dry samples were now ground using an agate mortar before being sieved to powder of 500 µm grain size mesh to obtain homogeneous fish powder . Thereafter, the samples were weighed and packed in clean canisters with a specific geometry similar to that of the calibration source provided by the IAEA. They were well labelled then closed tightly with cello tape to prevent radon from escaping. Samples were then stored for 30 days so that uranium and thorium radionuclide daughters could attain secular equilibrium between short- lived progeny and the respective long-lived (226Ra from 238U) and (228Ra from 232Th) before gamma spectrometric analysis . After 30 days, all the samples were analyzed to determine the activity concentrations of radionuclides using the HPGe (High - Purity Germanium) gamma spectrometry as well.
2.3. Sample Analysis
After 30 days, all the samples were analyzed to determine the activity concentrations of the present radionuclides. This was accomplished by using p-type coaxial high-purity germanium detector (ORTEC®GEM40-83SMP) inside lead shielding and connected to a multichannel analyzer. The detector, with 40% relative efficiency and specific energy resolutions, was calibrated with a CBSS2 multi-nuclide standard source which containing 241Am, 109Cd, 139Ce, 57Co, 60Co, 137Cs, 113Sn, 85Sr, 88Y, and 51Cr. The data acquisition and analysis were performed using an ORTEC®DSPEC-LF digital signal processor. The Gamma Vision® software was used in spectrum analysis .
The specific activity concentration of 226Ra radionuclide in sample was estimated using the 351.9 keV photo peak from the decay of 214Pb as well as the 609.3 keV, 1120.3 keV, 1728.6 keV and 1764 keV photo peaks from the decay of 214Bi. Likewise, the activity concentration of 232Th radionuclide was estimated using the 911.2 keV photo peak from the decay of 228Ac and the 583.1.6 keV photo peak from the decay of 208Tl. Finally, the activity concentration of 40K was determined using the 1460.8 keV photo peak. The actual time used for measurement of every sample was 172800 seconds. Therefore, activity concentration for each radionuclide of interest was computed using equation (1).
Data analysis was performed using gamma vision software and Origin Pro 2018 64-bit software through descriptive approach whereby means, standard deviation and charts/graphs were used in describing the data pattern to meet the objective of the study. Further, inferential analysis was done using an independent sample t-test in comparing means at the significance level of 0.05.
3. Analytical Methods
3.1. Activity Concentration and Uncertainty of the Activity
The activity concentrations (As) of the natural radionuclides of interest in this work were computed using equation (1) .
As(Bqkg-1) = Cn/ ƐPγMs(1)
where: Cn is the net counting rate under the corresponding peak, ε is the detector efficiency at the specific gamma-ray energy, Pγ is the absolute transition probability of the specific gamma-ray and Ms is the mass of the sample (kg). The obtained values of activity concentrations were then used to compute other analytical parameters as discussed here.
3.2. Radium Equivalent Activity (Raeq)
Radium equivalent activity (Raeq) is the most widely used for radiation hazard index and common used to assess the consistency of radiation exposure. Raeq is a weighted sum of activities of the three natural radionuclides in fish and sediment based on the estimation that 370 Bqkg-1 of 226Ra, 259 Bqkg-1 of 232Th and 4810 Bqkg-1 of 40K will produce the gamma-ray dose rate. Raeq was computed using equation (2) .
Raeq(Bqkg-1) = ARa+ 1.43ATh+ 0.077AK(2)
where: ARa, ATh and Ak are activity concentrations (Bqkg-1) of 226Ra, 232Th and 40K respectively.
3.3. Absorbed Gamma Dose Rates
The absorbed gamma dose rate (D) is the index used to describe the intensity of the energy deposited in a small amount of a tissue anywhere in the body and is used to assess the potential damage to a particular organ, tissue or material. The absorbed gamma dose rates due to gamma radiations in air at 1m above the ground surface for the uniform distribution of the naturally occurring radionuclides (226Ra, 232Th and 40K) was calculated using equation (3) based on guidelines provided by UNSCEAR for fish and sediments samples . The conversion factors used to compute the absorbed gamma dose rate in air per unit activity concentration in Bq/kg (dry weight) corresponds to 0.427nGy/h for 226Ra, 0.623nGy/h for 232Th and 0.043 nGy/h for 40K.
D (nGyh-1) = 0.427ARa+ 0.623ATh+ 0.043Ak(3)
where: ARa, ATh and Ak are activity concentrations (Bqkg-1) of 226Ra, 232Th and 40K respectively.
3.4. External and Internal Hazard Index
The external hazard index was calculated from Raeq expression through assumption that its maximum allowed value (equal to unity) matches the upper limit of Raeq (370 Bqkg-1) for safe use. The external hazard index (Hex) is used to indicate the significance of external radiation exposure while internal hazard index (Hin) is used to assess the hazardous effects to the human respiratory organ through inhalation process. So both index are used to predict the effect of radiation on human health and should be less than unity for the purpose of keeping the radiation hazard insignificant. In this work, the external hazard index (Hex) was computed using Equation (4) while the internal hazard index (Hin) was computed using equation (5) .
Hex= ARa/370 + ATh/259 + AK/4810(4)
Hin= ARa/185 + ATh/259 + AK/4810(5)
where: ARa, ATh and Ak are activity concentrations in (Bqkg-1) of 226Ra, 232Th and 40K respectively.
3.5. Representative Gamma Level Index
Representative gamma level index (Iγ) was used to examine the level of gamma radiation hazard associated with the characteristics radionuclides in the sediment samples collected in the coastal marine areas of Tanzania. Addition, gamma level index normally help to indicate the radiological safety of the building materials and must be equal or less than unity for low to negligible level of radiation exposure . This index was computed using equation (6) .
Iγ= ARa/150 + ATh/100 + AK/1500(6)
where: ARa, ATh and Ak are activity concentrations (Bqkg-1) of 226Ra, 232Th and 40K respectively.
3.6. Annual Gonadal Dose Equivalent
The AGDE (Annual gonadal dose equivalent) is the radiation index used to assess potential radiation effect to gonads since are more relative sensitive to ionizing radiation when you compare to other organs of the body and hence they are considered to be at a high risk of radiation exposure . The AGDE was computed using equation (7) to estimate the potential radiation dose that gonads may receive from 226R, 232Th and 40K .
AGDE (nGyh-1) = 0.3.09ARa+ 4.18ATh+ 0.314Ak(7)
where: ARa, ATh and Ak are activity concentrations in Bqkg-1 of 226Ra, 232Th and 40K respectively.
3.7. Annual Effective Dose Equivalent
The annual effective dose equivalent (Eeff) is another parameter which define the radiation hazards. The Eeff was computed from absorbed dose by applying the dose conversion factor of 0.7SvGy-1 with the outdoor and indoor occupancy factors of 0.2 and 0.8 respectively. The Eeff, was computed using equation (8) , and the limit of 1mSv/y is considered acceptable for the general public .
Eeff(uSvy-1) = D (nGyh-1) x 24h x 365.25 days x 0.2 x 0.7 Sv Gyy-1x 10-3(8)
3.8. Excess Lifetime Cancer Risk
The ELCR (Excess lifetime cancer risk) is another parameter which describes the effect of radiation exposure. The ELCR can be defined as the probability of developing stochastic effect at a lifetime due to low doses of ionizing radiation to human being over a given period . The ELCR in this work was calculated using equation (9) .
ELCR = EeffX DL X RF(9)
where: Eeff is the annual effective dose equivalent, DL represents the average duration of life (estimated to be 70 years) and RF is a risk factor (Sv-1). The risk factor can be defined as the fatal cancer risk per Sievert. For stochastic effects, the value for RF = 0.05 Sv-1 for public members .
3.9. Dose Assessment
The radioactivity of fish obtained from the study was used to estimate the total annual effective committed dose (HT) of the population in the study area. The total dose ingested through the consumption of fish can be calculated by summing the doses derived from each radionuclides (226Ra, 232Th, and 40K). However, 40K is an essential biological element distributed throughout the body and its concentration in human tissue are under metabolic (homeostatic) control. In estimating the total annual effective committed dose we used the annual fish consumption rate value that is 8.5 kg/y reported in 2020 . Therefore, the total annual effective committed dose was computed using equation (10) adopted from ICRP (International Commission on Radiological Protection) report .
HT, r= ∑ (Uix Cir) x gTr(10)
Where; i denotes the food group, Ui is the consumption rate per capital (kg/y), Cir the activity concentration of a radionuclides r of interest (Bq/kg), and gTr is the dose conversion coefficient for the ingestion of radionuclide r (Sv/Bq) in tissue. This is given as 226Ra, 232Th, and 40K, with conversion factors of 2.8 x 10-7, 2.3 x 10-7, and 6.2 x 10-9 in Sv / Bq respectively .
4. Results and Discussion
4.1. Radioactivity Levels in Fish
The analysis of radionuclides concentrations in fish samples yielded the results presented in Table 3. These results shows that the activity concentrations of 40K in almost all fish samples were higher than the world average value . Meanwhile, the activity concentrations of 226Ra were lower than the world average values. Besides, it was observed that the activity concentrations of 232Th in all samples were BDL (below detection limit) of the gamma spectrometry system used for sample analysis. From the result it shows that the species with code F002, FT001 and FM 003 accumulate more 226Ra while species with code FT001 accumulate more 40K. This may be due to the different feeding habits of these species, geographical location and conditions as well as solubility of 40K in water . This observation is supported by literature like a study by Khan et al. , which reported that radionuclide accumulation rates in fishes are influenced by their feeding habits and geographical location conditions. Also from the result, it has shown that concentration of 40K in fish samples was so high than the recommended value, but the computed total annual effective committed dose (Table 4) due to the consumption of fish was below the recommended limit . This implies that consumers of fish from marine coastal areas are safe. Besides, it has been reported that the 40K level in human body are not affected by variations in the environmental level, as result its radiation dose within the body remain constant .
Table 3. Activity Concentration of radionuclides (Bq/kg) in fish samples from coastal marine areas in Tanzania; values are expressed as mean ±SEM (p>0.05 and sample size n=12).

S/No.

Sample Code

Activity (Bq/kg) 226Ra

Activity (Bq/kg) 232Th

Activity (Bq/g) 40K

1

F001

BDL

BDL

573.1 ± 72.3

2

F 002

4.6 ± 1.5

BDL

286.0 ± 30.3

3

F003

1.5 ± 0.8

BDL

353.3 ± 34.5

4

F 004

BDL

BDL

620.3 ± 78.8

5

FT 001

10.4 ± 2.4

BDL

693.6 ± 48.9

6

FT 002

BDL

BDL

574.2 ± 63.2

7

FT 003

BDL

BDL

438.4 ± 50.6

8

FT 004

BDL

BDL

492.6 ± 30.4

9

FM 001

BDL

BDL

460.6 ± 28.6

10

FM 002

BDL

BDL

543.3 ± 64.3

11

FM 003

3.0 ± 1.3

BDL

373.9 ± 39.1

12

FM 004

BDL

BDL

456.6 ± 50.1

Min

1.5 ± 0.8

286.0 ± 30.3

Max

10.4 ± 2.4

693.6 ± 48.9

Mean ± SEM

4.9 ± 1.9

BDL

488.8 ± 34.1

BDL- Below Detection Limit
Table 4. Total Annual Effective Dose from 226Ra and 40K compared to recommended limits (mSv/y).

Radionuclides

Effective dose (mSv/y)

References

226Ra

0.0117

40K

0.0258

Total

0.0375

This study

Recommended limits

1

The mean activity concentration of 40K reported in this study was higher than the values reported in other parts of the world like Nigeria , Libya , Bangladesh , Pakistan , and Malaysia . Figure 2 shows the comparison of radionuclides concentrations in fish observed in this study with the concentrations reported elsewhere as well as the recommended average values.
Figure 2. Shows the comparison of radionuclides concentration in fish observed in the study area and parts of the world as well as recommended average value.
4.2. Radiological Risk Indices in Fish
Following the high concentrations of radionuclides in fish, it was important to compute the radiological risk indices associated with consumption of fish in the study area. The Hin and ELCR were determined as presented in Table 5. The average values of all these indices were observed to be below the values recommended by UNSCEAR , as shown in Table 5. Hence, although some fish samples appeared to have high activity concentrations of 40K, the computation of radiological risk indices and total annual effective committed dose (Table 4) revealed no significant health risks posed by consumption of fish from the marine coastal areas in Tanzania.
Table 5. Computed radiological risk indices due to consumption of fish in the study area; values are expressed as mean ± SEM (p>0.05 and sample size n=12).

S/No.

Sample code

Hin

ELCR X 10-6

1

F001

0.1

105.7

2

F 002

0.06

52.9

3

F003

0.08

67.9

4

F 004

0.1

114.5

5

FT 001

0.2

147.4

6

FT 002

0.1

106.1

7

FT 003

0.09

81.2

8

FT 004

0.1

90.7

9

FM 001

0.1

85.1

10

FM 002

0.1

100.5

11

FM 003

0.09

74.6

12

FM 004

0.09

84

Min

0.06

52.9

Max

0.2

147.4

Mean±SEM

0.1±0.01

92.6±7.1

Recommended mean values

1

290

4.3. Radioactivity Levels in Sediments
The activity concentration of natural radionuclides in sediments samples was computed and presented in Table 6. It was found that activity concentration of 40K was higher than other radionuclides in the study area which may be influenced by organic enrichment in sediments as a result of the waste discharges draining by rivers from mainland or coastal activities like farming, industrial and domestic municipal waste. The result also shows that the samples collected upper stream of the rivers, E6 001, E6 004, E7 002, E7 003, E1 004, E4 001 and E4 004 have more activity concentration when compare with those sample collected downstream, midpoint and along the ocean in each river and sewage pipeline except sample E7 001 and SWPT 003. This may justify that the natural radionuclide are draining from farming places, industrial places, domestic waste discharge, mineral exploration activities, oil and fuel extraction in the mainland and coastal itself and not from Ocean activities.
Again from Table 6, it shows that the activity concentration of natural radionuclides of sample collected from port station and ferry station were higher than those from river estuaries and sewage pipeline. The samples collected from Tanga port station were containing more activity than other port stations and ferry stations except sample with code MP002 because there was a dredging excise which was undertaken and samples were collected there. The higher concentration observed in port stations and ferry stations may be due to the geological and morphological of the rock formation. This observation was supported from the literature by Ramli et al. , and Yii et al. . Also, it is reported that the radioactivity of 226Ra and 232Th is linked with heavy minerals, while that of 40K is associated with clay minerals .
Moreover, from Table 6 it was observed that the ratio of 226Ra/40K, 232Th/40K and 226Ra/232Th were comparable with recommended average by UNSCEAR . The ratio of 226Ra and 232Th shows that there was disequilibria of radionuclides in the study area which may be caused by anthropogenic activities. This observation can be supported from the literature by Higgy .
Table 6. Activity Concentration of radionuclides in the sediment samples from the coastal marine areas in Tanzania; values are expressed as mean ±SEM (sample size n= 37).

S/No.

Sample code

Activity Bq/Kg Ra-226

Activity in Bq/Kg Th-232

Activity in Bq/Kg K-40

Ra-226 / K-40

Th-232 / K-40

Ra- 226 / Th-232

1

E6 001

15.4±1.8

15.0 ± 1.9

568.3 ± 54.5

0.03

0.03

1.03

2

E6 002

9.3 ± 1.4

14.1 ± 1.6

285.4 ± 29.1

0.03

0.05

0.66

3

E6 003

3.7 ± 0.8

3.2 ± 0.9

370.2 ± 36.5

0.01

0.01

1.16

4

E6 004

7.6 ± 0.5

6.0 ± 0.7

643.8 ± 15.1

0.01

0.01

1.27

5

E6 005

3.6 ± 0.6

2.4 ± 0.5

180.4 ± 17.5

0.02

0.01

1.5

6

E7 001

11.6±1.7

10.3 ± 1.3

405.5 ± 41.0

0.03

0.03

1.13

7

E7 002

8.7 ± 1.2

10.2 ± 1.3

488.7 ± 48.9

0.02

0.02

0.85

8

E7 003

14.3±1.6

20.2 ± 2.0

372.5 ± 35.1

0.04

0.05

0.71

9

SWP 001

4.5 ± 0.8

< MDA

202.9 ± 19.1

0.02

10

SWP 002

7.8 ± 0.6

7.6 ± 0.7

100.5 ± 6.2

0.08

0.08

1.03

11

SWP 003

5.8 ± 0.9

6.2 ± 0.8

311.5 ± 30.0

0.02

0.02

0.94

12

SWP 004

4.2 ± 1.1

3.4 ± 1.0

399.1 ± 40.7

0.01

0.01

1.24

13

DP 001

7.2 ± 0.3

4.6 ± 0.3

177.3 ± 4.8

0.04

0.03

1.57

14

DP 002

7.5 ± 0.5

4.2 ± 0.6

195.9 ± 6.6

0.04

0.02

1.79

15

DP 003

12.6±1.0

14.7 ± 1.0

314.9 ± 13.4

0.04

0.05

0.86

16

E1 001

7.6 ± 0.4

< MDA

420.2 ± 11.4

0.02

17

E1 002

8.4 ± 0.5

< MDA

396.0 ± 10.2

0.02

18

E1 003

7.1 ±1.6

7.6 ± 1.2

467.6 ± 46.7

0.02

0.02

0.93

19

E1 004

17.0±2.0

25.8 ± 3.6

395.8 ± 39.8

0.04

0.07

0.66

20

SWPT01

9.6 ± 1.6

7.4 ± 1.2

63.0 ± 11.4

0.15

0.12

1.29

21

SWPT02

7.7 ±0.7

7.6 ± 0.4

92.1 ± 4.1

0.08

0.08

1.01

22

SWPT03

46.6±6.9

47.1 ± 5.5

312.9 ± 44.0

0.15

0.15

0.99

23

SWPT04

9.0 ± 0.4

< MDA

86.9 ± 3.0

0.1

24

SWPT05

11.8±1.1

7.4 ± 0.7

153.6 ± 12.1

0.08

0.05

1.59

25

TP 001

15.4±0.8

12.7 ± 0.8

324.2 ± 14.7

0.05

0.04

1.21

26

TP 002

32.1±0.7

19.5 ± 0.7

210.9 ± 5.1

0.15

0.09

1.65

27

TP 003

31.2±2.2

21.9 ± 1.4

238.1 ± 16.4

0.13

0.09

1.42

28

TP 004

28.6±3.1

23.1 ± 2.4

196.1 ± 21.4

0.15

0.12

1.24

29

TP 005

27.9±1.5

22.7 ± 1.1

267.5 ± 14.1

0.1

0.08

1.23

30

E4 001

16.0±1.2

25.5 ± 1.5

607.0 ± 28.7

0.03

0.04

0.63

31

E4 002

10.3±1.4

21.5 ± 2.3

560.8 ± 55.4

0.02

0.04

0.48

32

E4 003

6.9 ± 1.1

10.1 ± 1.2

524.0 ± 50.3

0.01

0.02

0.68

33

E4 004

16.3±1.9

41.1 ± 4.1

641.9 ± 62.2

0.03

0.06

0.39

34

MP 001

12.3±0.5

12.3 ± 0.9

285.2 ± 9.1

0.04

0.04

1

35

MP 002

64.7±3.0

(117.2 ± 5.4)

234.9 ± 11.2

0.28

36

MP 003

12.5±0.6

9.5 ± 0.6

281.2 ± 8.0

0.04

0.03

1.32

37

MP 004

17.3±2.3

20.9 ± 2.7

354.2 ± 36.4

0.05

0.06

0.83

Min.

3.6 ± 0.6

2.4 ± 0.5

63.0 ± 11.4

0.01

0.01

0.39

Max.

64.7±3.0

47.1 ± 5.5

643.8 ± 15.1

0.28

0.15

1.79

Mean±SEM

15.1±2.2

14.9 ±2.02

320.8±27.4

0.06±0

0.05±0

1.08±0.1

Recommended mean values

0.067

0.067

1.0

The result in the brackets () are outliers and excluded from average.
Figure 3 shows bar chart graph illustrating the distribution of mean activity concentration of 226Ra, 232Th and 40K in the study area. It was observed that the mean activity concentration of 40K in river estuaries (E6, E7, E4, E1) are so high compared to sewage pipelines and port/ferry site. The Tanga sewage pipeline (SWPT) contain the least mean activity concentration of 40K. The other radionuclides 226Ra and 232Th at the TP, MP, E4 and SWPT site contain a bit higher mean activity concentration compared to other sites.
Figure 3. The average activity concentration of 226Ra, 232Th and 40K in Bq/kg of the sediment sample for the locations under the study area.
Figure 4 and Figure 5 were plotted to test for correlation between 232Th and 226Ra and 40K and 226Ra respectively. It is noted that a moderate to strong good correlation between 232Th and 226Ra was observed with correlation coefficient of 0.79 (r= 0.79, p< 0.0001), this indicate that the correlation is highly statistically significant and hence the two radionuclide are in the same origin. Also the correlation was observed between 226 Ra and 40K with correlation coefficient of -0.103 (r= -0.103, p≈ 0.545) which is very weak negative correlation that means no statistically significant correlation and suggest that no significant linear relationship between activity concentration of 40K and 226Ra.
Figure 4. The correlation between activity concentrations of 232Th and 226R.
Figure 5. The correlation between activity concentrations of 40K and 226Ra.
Following the comparison between the ranges and mean activity concentration of radionuclide (226Ra, 232Th and 40K) in sediments samples collected in coastal marine areas of Tanzania and some other countries of the world was presented in Table 7. The radioactivity levels in the coastal marine areas of Tanzania sediments was found to be higher than the levels reported for the Mediterranean coast of Egypt , coastal structure in Kuwait , coast of Oman sea, Iran , Qatar , and coast of Greater Accra, Ghana , except 226Ra in Kuwait and 232Th in Ghana were higher compared to the current study. Also for Patras Harbour, Greece , Mumbai Harbour, India , Red Seashore sediment, Egypt , Coastal Marine Sediments, Gulf of Oman , Yangtze estuary, China , Izmit Bay, Turkey , and Malaysia Coast, South China sea , the levels are comparable with the current study, except the radioactivity of 40K in Greece, India, Egypt, Turkey and China is higher than the current study.
Moreover, from Table 7, when you compare the ranges, the radioactivity levels of the current study was found to be higher than the levels reported for Qatar , and northern coast of Oman Sea, Iran . The Yangtze Estuary, China , was found to be comparable with the current study except the ranges of 232Th and 40K was higher than the current study. Therefore, the mean and ranges of the radioactivity levels in sediment samples of the current study were lower than recommended values reported worldwide by UNSCEAR , but mostly comparable with other part of the world. Hence the sediments collected from coastal marine areas of Tanzania cannot pose radiological effect to human being as well as biota animals.
Table 7. Comparison of average /ranges of Activity Concentration of 40K, 232Th and 226Ra (Bq/kg) from study area, other parts of the world and the recommended values.

S/No.

Location

Average/ranges of Activity Concentration in Bq/kg

Reference

Ra - 226

Th - 232

K - 40

1

Kuwait

36

6

227

2

Greece

22.6

24.5

497

3

India

10.6

436

4

Egypt

5

2.1

46

5

Ghana

22.04

108.6

29.78

6

Egypt

24.7

31.4

427.5

7

Iran

11.8 -22.7

10.7 - 25.0

223 - 535

8

Qatar

4.2 - 19.5

1.0 - 6.0

11 - 188

9

China

13.7 - 52

26.1 - 71.9

392 - 898

10

Turkey

0.0 - 18.0

568

11

Oman

0.0 - 16.2

0.0 - 34.5

54.7

12

Malaysia

27.7

73.3

13

World range

17.0 - 60.0

11.0 -64.0

140.0 - 850.0

14

World average

35

30

400

15

Tanzania, range

3.6 - 64.7

2.4 - 47.1

63.0 - 643.8

Current study

16

Tanzania, average

14.6

14.6

327.9

Current study

4.4. Radiological Risk Indices in Sediments
The radiological indices and hazard indices for sediments samples collected from study area were computed and presented in Table 8. Generally it observed that the radiological hazards indices were below the recommended values as reported by UNSCEAR , as shown in Table 8.
Moreover, when you compare the current study with the reported study recorded in Table 8, it shows that the Suliman et al. in Egypt and Al-Trabulsy et al. in Saudi Arabia have higher values for Raeq and D compared with current study. At the same times Papeefthymiou et al. in Ghana reported to have lower values for Raeq and Eeff and Ramasamy et al. in India reported to have lower value for ELCR compared to the current study.
Hence, in view the radiological hazard indices calculated in sediments samples and compared to the recommended values and other studies reported over the world it shows that the radioactivity levels in the coastal marine areas of Tanzania sediments have no radiological concern for human health and biotic environment. Therefore, the sediment around the study can be used for building materials or other various applications.
Table 8. Using Average Activity Concentration to Computed Raeq, Hex, D, Eeff, Iγ, AGDE and ELCR for Sediments Samples from present study and sediments from other parts of world as well the recommended value; values are expressed as mean± SEM (p<0.05 and sample size n=9).

S/No.

Sample code

Raeq Bq/kg

Hex

D nGy/h

Eeff µSv/y

Iγ

AGDE µSv/y

ELCR x 10-6

Reference

1

E6

51

0.1

26

31.9

0.4

164.9

111.7

2

E7

63.5

0.2

31.5

38.6

0.5

193

135.1

3

SWP

33.4

0.1

16.9

20.7

0.3

105.6

72.5

4

DP

37.9

0.1

18.6

22.8

0.3

107.5

79.8

5

E1

57.6

0.2

29.1

35.7

0.5

182.1

124.9

6

SWPT

49.8

0.1

22.9

28.1

0.4

114.1

98.4

7

TP

74.4

0.2

34.5

42.3

0.5

168.9

148.1

8

E4

92.5

0.2

45.7

56

0.7

289.9

196

9

MP

69.3

0.2

32.7

40.1

0.3

105.6

72.5

Min

33.4

0.1

16.9

20.7

0.1

55.1

32.6

Max

92.5

0.2

45.7

56

0.7

289.9

196

Mean±SEM

58.8±6.2

0.2±0

28.7±2.9

35.1±3.6

0.4±0

159.1±20.2

115.4±13.6

Mean values, others areas

Red Seashore, Egypt

101

42

Coast of Accra, Ghana

9

0.5

77

0.1

India

0.002

Saudi Arabia

92.9

0.1

45.6

56

0.3

Recommended value

370

1

59

70

1

300

290

5. Conclusion
The activity concentrations of 226Ra, 232Th and 40K of fish and sediments samples along the coastal areas of Tanzania was determined using the gamma spectrometry. The mean activity concentrations of 226Ra in fish (4.9 ± 1.9 Bq kg−1) and sediments (15.1 ± 2.2 Bq kg−1), 232Th in fish was below detection limit (BDL) and sediments (14.9 ± 2.0 Bq kg−1) were compared to the global averages of 35 Bq kg−1, and 45 Bqkg-1respectively. The 40K in fish (488.8 ± 34.1 Bq kg−1) and sediments (320.8 ± 27.4 Bq kg−1) were compared to the global average value of 420 Bq kg−1. The study also revealed that the computed annual effective committed dose was below the recommended limit by ICRP although the mean activity concentration of 40K in fish samples was higher than the value recommended worldwide. Additionally, the current study also has shown that the radiological hazards indices computed for fish and sediments samples were below recommended values. Likewise, the study also has shown strong good correlation between 226Ra and 232Th, while a weak correlation was observed between 40K and 226Ra as well as 232Th in sediments samples.
Therefore, this study may conclude that the level of radioactivity in fish consumed in this study areas does not pose a significant radiological risk to fish consumers as well as sediments if it will be used for any purpose. This study also will be used as baseline for coastal marine areas of Tanzania for radioactivity and the data may be used by regulatory bodies during enforcing radiation protection policies. Lastly, the study recommends that research should be extended to other species of fish and the areas left behind during sample collection and extend the methodology to include further radionuclides of interest to nuclear security and safeguards.
Abbreviations

UNSCEAR

United Nations Scientific Committee on the Effects of Atomic Radiation

DNA

Deoxyribonucleic Acid

TAEC

Tanzania Atomic Energy Commission

IAEA

International Atomic Energy Agency

HPGe

High - Purity Germanium

AGDE

Annual Gonadal Dose Equivalent

ELCR

Excess Lifetime Cancer Risk

ICRP

International Commission on Radiological

BDL

Below Detection Limit

Acknowledgments
The authors acknowledge the financial support from Tanzania Atomic Energy Commission (TAEC) and the valuable logistics support from University of Dar es Salaam, Department of Physics.
Author Contributions
Melchior Ludovick Mungubariki: Conceptualization, Data curation, Formal Analysis, Methodology, Resources, Validation, Visualization, Poject administration, Writing– original draft, Writing– review & editing
Mwingereza John Kumwenda: Supervision, Validation, Visualization, Writing – review & editing
Innocent Jimmy Lugendo: Methodology, Supervision, Validation, Visualization, Writing – review & editing
Conflicts of Interest
The authors declares that they have no conflicts of interest.
References
[1] Lo, K. F. A., Gunasiri, C. W. D. Impact of coastal land use change on shoreline dynamics in Yunlin County, Taiwan. Environments, 2014, (1), 124 -136.
[2] Yi, L., Chen, J., Jin, Z., Quan, Y., Han, P., Guan, S., Jiang, X. Impacts of human activities on coastal ecological environment during the rapid urbanization process in Shenzhen, China. Ocean Coast. Manag. 2018, (154), 121 - 132.
[3] Al-Howiti, N. S., Othmen, Z. O. B., Othmane, A. B., Chaffai, A. H. Use of Tridacna maxima, a bivalve in the biomonitoring of the Saudi Arabian Red Sea coast. Mar. Pollut. Bull. 2020, ID 150, 11076.
[4] UNSCEAR. Sources, Effects and risks of Ionizing Radiation: Report to the General Assembly with Scientific Annexes A and B, 120 (2020) New York.
[5] Yii, M. W., Zaharudin, A., Abdul-Kadir, I. Distribution of naturally occurring radionuclides activity concentration in East Malaysian marine sediment. Appl. Radiat. Isot., 2009, (67), 630-635.
[6] El- Taher, A., Abdelhalim, M. A. K. Elemental analysis of limestone by instrumental neutron activation analysis. J. Radioanal. Nucl. Chem., 2014, (299), 1949 - 1953.
[7] Kurnaz, A., and Ku, B. Determination of radioactivity levels and hazards of soil and sediment samples in Firtina Valley, Turkey. J. Appl. Radiat. Isotopes, 2007 (65), 1281-12 89.
[8] UNSCEAR. Sources and Effects of Ionizing Radiation: Sources (Vol. 1). New York, (2013), United Nations Publications.
[9] Kam, E., Bozkurt, A. Environmental radioactivity measurements in Kastamonu region of northern Turkey. Applied Radiation and Isotopes, 2007, 65(4), 440- 444.
[10] UNSCEAR. Sources and Effects of Ionizing Radiation: Report Vol. 1 to the General Assembly, with scientific annexes, United Nations Sales Publication, United Nations, New York, 2008.
[11] Ravanat, J. L., Breton, J., Douki, T., Gasparutto, D., Grand, A., Rachidi, W., Sauvaigo, S. Radiation-mediated formation of complex damage to DNA: a chemical aspect overview. Br. J. Radiol., 2014 (87), 20130715.
[12] ICRP. Radiological Protection from Naturally Occurring Radioactive Material (NORM) in industrial processes, vol. 48, SAGE publication Ltd, (2019).
[13] Harb S. Natural radioactivity concentration and annual effective dose in selected vegetables and fruits. J. Nucl. Particle Phys., 2015, (5), 70 - 73.
[14] Azouazi, M., Ouahidi, Y., Fakhi, S., Andres, Y., Abbe, J. C., Benmansour, M. Natural radioactivity in phosphates, phosphogypsum and natural waters in Morocco. J. Environ. Radioact. 2001, (54), 231-242.
[15] El-Gamal, A., Nasr, S., El-Taher, A. Study of the spatial distribution of natural radioactivity in the upper Egypt Nile River sediments. Radiat. Meas., 2007, (42), 457- 465.
[16] Radi Dar, M. A., El-Saharty, A. A. Some radioactive elements in the coastal sediments of the Mediterranean Sea. Radiat. Prot. Dosim., 2013, (153), 361-368.
[17] Banzi, F. P., Kifanga, L. D., Bundala, F. M. Natural radioactivity and radiation exposure at Minjingu phosphate mine in Tanzania. Radiation Protection, 2000, (20), 41 - 51.
[18] Lolila, F. Establishment of baseline data of external ionizing radiation dose at proposed uranium mining sites and their neighbouring residential areas in Tanzania. Msc thesis. University of Dar es Salaam, Tanzania, November, 2011.
[19] Mohammed, N. K., Mazunga, M. S. Natural radioactivity in soil and water from likuyu Village in the neighbourhood of Mkuju uranium deposit. International Journal of Analytical Chemistry, 2013, ID 501856.
[20] Leonid L. Nkuba and Najat K. Mohammed. Determination of radioactivity in maize and mung beans grown in the neighbourhood of Minjingu phosphate mine, Tanzania. Tanz. J. Sci. 2014, (40).
[21] Kazoka, A. R., Mwalilino, J., Mtoni, P. A radiological risk assessment of 226Ra, 228Ra and 40K isotpes in Tilapia Fish and its granite environment in Singida Municipality, Tanzania. Earth 2023, 4 pp 540-551.
[22] URT. Tanzania in figures. National Bureau of Statistics, Ministry of Finance and Planning, Dodoma June, 2020.
[23] URT. Investment guide on waste management in Tanzania. The United Republic of Tanzania. Dodoma: Vice Presidents’ office, March, 2020.
[24] World Bank. Fertilizer consumption (kilogram per hectare of arable land) - Tanzania.
[25] NEMC. State of the Coast for Mainland Tanzania. National Environment Management Council (NEMC). Dodoma, Tanzania. 2014, Pp. xxxiv+293p.
[26] Ravisankar, R., Chandranohan, J., Chandrasekaran, A., Jebakumar, J. P. P., Vijayalakshmi, I., Vijayagopal, P., Venkatraman, B. Assessment of radioactivity concentration of natural radionuclides and radiological hazards indices in sediments samples from the East Coast of Tamilnadu, India with statistical approach. Mar. Pollut. Bull. 2015, (97), 419-430.
[27] IAEA. Measurement of radionuclides in food and the environment; IAEA Technical Report Series no. 295; International Atomic Energy Agency: Vienna, Austria, 1989.
[28] ORTEC. ORTEC Gamma Vision® Maestro-PRO®. 2020.
[29] El-Taher, A., Madkour, H. A. Environmental and radioecological studies on shallow marine sediments from harbour areas along the Red Sea coast of Egypt for identification of anthropogenic impacts. Isotopes in environmental and health studies, 2014, 50 (1), 120-133.
[30] Liu, X., Lin, W. Natural radioactivity in the beach sand and soil along the coastline of Guangxi Province, China. Mar. Pollut. Bull., 2018, (135), 446 - 450.
[31] Akpanowo, M. A., Umaru, I., Iyakwari, S., Joshua, E. O., Yusuf, S., Ekong, G. B. Determination of natural radioactivity levels and radiological hazards in environmental samples from artisanal mining sites of Anka, North-West Nigeria. Scientific African, 10(2020) e00561.
[32] Ayeni D. A, Adebiyi F. M. Evaluation of natural radioactivity and radiation hazards of soils around petroleum products marketing company using gamma-ray spectrometry. Tanz. J. Sci. 2022. 48(2), pp. 304-312.
[33] Darwish D. A. E, Abul-Nasr K. T. M, EL-Khayatt A. M. The assessment of natural radioactivity and its associated radiological hazards and dose parameters in granite samples from South Sinai, Egypt. Journal of Radiation Research & Applies Sciences. 2015, 8(1), pp. 17 - 25.
[34] Yachiso G. T., Chaubey A. K., Turi B. Measurement of natural radionuclide levels and hazards in the Lega Dembi Gold mine, Oromia, Ethiopia. Isotopes in Environmental and Health Studies, 2023, 59(4-6), pp. 554-566.
[35] Adebiyi F. M., Ore O. T., Adeola A. O., Durodola S. S., Akeremale O. F., Olubodun K. O., Akeremale O. K. Occurrence and remediation of naturally occurring radioactive materials in Nigeria: Areviw. Environmental Chemistry letters, 2021, 19(4), pp. 3243 - 3262.
[36] Taskin H., Karavus M., Ay P., Topuzoglu A., Hidiroglus S., Karahan G. Radionuclide concentration in soil and lifetime cancer risk due to gamma radioactivity in Kirlareli, Turkey. Journal of Environmental Radioactivity, 2009, 100(1), pp. 49- 53.
[37] FAO. The state of World Fisheries and Aquaculture 2020. Sustainability in Action. Rome, 2020.
[38] Peart, J., Tran N., Chan, C. Y., Maskaeva, A., Shoko, A. P., Kimirei, I. A., Madalla, N. A. A review of fish supply-demand in Tanzania. Penang, Malaysia: World Fish, 2021. Program Report: 2021-2032.
[39] ICRP. Annals of the ICRP; ICRP Publication 103: Boston, MA, USA, 2007.
[40] Khan, M. F., Raj, Y. L., Ross, E. M., Wesley, S. G. Concentration of natural (40K, 228Ra and 226Ra) in seafood and their dose to coastal adult inhabitants around Kudankulam, Gulf of Mannar, South India. Int. J. Low Radiation, 2007, 4 (3), 217-231.
[41] Shanthi G, Maniyan C. G, Allan G, Gnana R, Thampi T. J. Radioactivity in food crops from high background radiation area in Southwest India. Curr. Sci. 2009, 97(9): 1331- 1335.
[42] Adamu, R., Zakari, Y. I., Ahmed, A. Y., Abubakar, S., Vatsa, A. M. Analysis of Activity Concentration due to Natural Radionuclides in the Fish of Kainji Lake. Advances in Applied Science Research, 2013, 4 (4), 283 - 287.
[43] Hamad, R., Ikraiam, F., Hasan, H. Determination of specific natural radionuclides in the bones of some local fish commonly consumed from the Eastern Libyan Coast. J. Rad. Nucl. Appl., 2023, 8(30), 283-289.
[44] Ghose, S., Alam, M. N., Islam, M. N. Radiation dose estimation from the analysis of radionuclides in marine fish of the Bay of Bengal. Radiat. Prot. Dosim., 2000, 87, 287-291.
[45] Tahir, S. N. A., Alaamer, A. S., Ayub, M., Khan, M. Z. Radiometric analysis of samples of domestic fish species and radiological implications. Health Physics, 2010, 98(5), 7 41-744.
[46] Khandaker, M. U., Olatunji, M. A., Shuib, K. S. K., Hakimi, N. A., Nasir, N. L. M., Asaduzzaman, K. Y. M., Amin, Y. M., Kassim, H. A. Natural radioactivity and effective dose due to the bottom sea and estuaries marine animals in the coastal waters around Peninsular Malaysia. Radiation Protection Dosimetry, 2015, 167(1-3), 196-200.
[47] Ramli, A. T., Abdel-Wahab, M. A., Lee, M. H. Geological influence on terrestrial gamma ray dose rate in the Malaysian state of Johore. Appl. Radiat. Isot. 2000, 54, 327 - 333.
[48] Nyarko, E., Botwe, B., Ansong, J., Delfanti, R., Barsanti, M., Schirone, A., Delbono, L. Determination of 210Pb, 226Ra and 137Cs in beach sands along the coastline of Ghana. African Journal of Environmental Pollution and Health, 2011, 9, 17-23.
[49] Higgy, R. H. Natural radionuclides and plutonium isotopes in soil and shore sediments on Alexandria Mediterranean Sea coast of Egypt. Radiochim Acta, 2000, 88, 47-54.
[50] Saad, H. R., Al-Azmi, D. Radioactivity concentrations in sediments and their correlation to the coastal structure in Kuwait. Applied Radiation and Isotopes, 2002, 56, 991 - 997.
[51] Zare, M. R., Mostajaboddavati, M., Kamali, M., Abdi, M. R., Mortazavi, M. S. 235U, 238U, 232Th, 40K and 137Cs activity concentrations in marine sediments along the northern coast of Oman Sea using high-resolution gamma-ray spectrometry. Mar. Pollut. Bull., 2012, 64, 1956-1961.
[52] Al-Qaradawi, I., Abdel-Moati, M., Al-Yafei, M. A. A., Al-Ansari E., Al-Maslamani, I., Holm E., Al-Shaikh, I., Mauring, A., Pinto, P. V., Abdulmalik, D., Amir, A., Miller, M., Yigiterhan, O., Person, B. Radioactivity levels in the marine environment along the Exclusive Economic Zone (EEZ) of Qatar. Mar. Pollut. Bull., 2015, 90, 323-329.
[53] Amekudzie, A., Emi-Reynolds, G., Faanu, A., Darko, E. O., Awudu, A. R., Adukpo, O., Quaye, L. A. N., Kpordzro, R., Agvemang, B., Ibrahim, A. Natural radioactivity concentrations and dose assessment in shore sediments along the coast of Greater Accra, Ghana. World Applied Sciences Journal, 2011, 13(11), 2338 - 2343.
[54] Papaefthymiou, H., Papatheodorou, G., Moustakli, A., Christodoulou, D., Geraga, M. Natural radionuclides and 137Cs distributions and their relationship with sedimentological processes in Patras Harbour, Greece. Journal of Environmental Radioactivity, 2007, 94(2), 55 - 74.
[55] Sugandhi S, Joshi V. M, Ravi P. Studies on natural and anthropogenic radionuclides in sediment and biota of Mumbai Harbour Bay. Journal of Radioanalytical and Nuclear Chemistry, 2014, 300(1): 67 - 70.
[56] El-Mamoney, M. H., Khater, A. E. M. Environmental characterization and radioecological impacts of non-nuclear industries on the Red Sea coast. Journal of Environmental Radioactivity, 2004, 73 (2), 151-168.
[57] Suliman, I. I., Alsafi, K. Radiological risk to human and non-human Biota due to radioactivity in Coastal sand and marine sediments, Gulf of Oman. Life, 2021, 11, 549.
[58] Wang, J., Du, J., Bi, Q. Natural radioactivity assessment of surface sediments in the Yangtze Estuary. Mar. Pollut. Bull., 2017 (114), 602-608.
[59] Ergul, H. A., Belivermis, M., Kilic, O., Topcuoglus, S., Cotuk, Y. Natural and Artificial radionuclide activity concentrations in surface sediments of Izmit Bay, Turkey. Journal of Environmental Radioactivity, 2013, (126), 125-132.
[60] Mohamed, C. A. R., Mahmood, Z. U. W., Ahmad, Z., Ishak, A. K. Enrichment of natural radium isotopes in the southern South China Sea surface sediments. Coastal Marine Science, 2010, 34(1), 165 - 171.
[61] Al-Trabulsy, H. A., Khater, A. E. M., Habbani, F. I. Radioactivity levels and radiological hazard indices at the Saudi coastline of the Gulf of Aqaba. Radiat. Phys. Chem., 2011, 80 (3), 343-348.
[62] Ramasamy, V., Suresh, G., Meenakshisundaram, V., Gajendran, V. Evaluation of natural radionuclide content in river sediments and excess lifetime cancer risk due to gamma radioactivity. Research Journal of Environmental and Earth Sciences, 2009, 1(1), 6 - 10.
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    Mungubariki, M. L., Kumwenda, M. J., Lugendo, I. J. (2026). Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania. Advances in Applied Sciences, 11(3), 121-138. https://doi.org/10.11648/j.aas.20261103.18

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    Mungubariki, M. L.; Kumwenda, M. J.; Lugendo, I. J. Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania. Adv. Appl. Sci. 2026, 11(3), 121-138. doi: 10.11648/j.aas.20261103.18

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    AMA Style

    Mungubariki ML, Kumwenda MJ, Lugendo IJ. Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania. Adv Appl Sci. 2026;11(3):121-138. doi: 10.11648/j.aas.20261103.18

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  • @article{10.11648/j.aas.20261103.18,
      author = {Melchior Ludovick Mungubariki and Mwingereza John Kumwenda and Innocent Jimmy Lugendo},
      title = {Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania},
      journal = {Advances in Applied Sciences},
      volume = {11},
      number = {3},
      pages = {121-138},
      doi = {10.11648/j.aas.20261103.18},
      url = {https://doi.org/10.11648/j.aas.20261103.18},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20261103.18},
      abstract = {Environmental radioactivity monitoring is essential for assessing potential exposure risks to humans and marine ecosystem, particularly in coastal marine areas where anthropogenic and natural radionuclides may accumulate. However, research studies on natural radioactivity in Tanzania's coastal marine areas remain scarce. This study was therefore conducted to assess the radioactivity levels of natural radionuclides (226Ra, 232Th, and 40K) in marine sediments and fish samples from the Tanzanian coastal areas, and to estimate the associated radiological health hazards for both humans and marine ecosystem. A total of 49 samples comprising both sediment and fish were randomly collected from 12 coastal sites and composited for analysis. Radioactivity concentrations were measured using gamma spectrometry. For fish samples, the mean activity concentrations were 4.9 ± 1.9 Bq kg⁻1 dry weight (dw) for 226Ra, 488.8 ± 34.1 Bq kg⁻1 dw for 40K, while 232Th was below the detection limit. In sediments, the corresponding mean values were 15.1 ± 2.2, 14.9 ± 2.0, and 320.8 ± 27.4 Bq kg⁻1 dw for 226Ra, 232Th, and 40K, respectively. Based on these data, a comprehensive set of radiological hazard indices was computed, including radium equivalent activity (Raₑq), absorbed dose rate (D), annual effective dose equivalent (Eₑff), external and internal hazard indices (Hₑₓ and Hᵢₙ), representative gamma index (Iᵧ), annual gonadal dose equivalent (AGDE), excess lifetime cancer risk (ELCR), and annual effective dose (AED). The results showed that the computed total annual effective committed dose for fish consumption was below the 1 mSv y⁻1 as recommended by the ICRP, although the mean 40K activity in fish exceeded the global average of 420 Bq kg⁻1. All evaluated hazard indices (Raeq, Hex, D, Eeff, Iγ, AGDE, and ELCR) for sediments, as well as Hᵢₙ and ELCR for fish, were within permissible levels values. In conclusion, the current radioactivity levels in the studied coastal area do not pose a significant radiological risk to human health or the marine ecosystem. Nevertheless, it is advisable to keep monitoring for purpose of detecting any future changes due to natural or anthropogenic influences.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Assessment of Radioactivity Levels and Radiological Hazards Indices in Sediments and Fish from Coastal Marine Areas of Tanzania
    AU  - Melchior Ludovick Mungubariki
    AU  - Mwingereza John Kumwenda
    AU  - Innocent Jimmy Lugendo
    Y1  - 2026/08/18
    PY  - 2026
    N1  - https://doi.org/10.11648/j.aas.20261103.18
    DO  - 10.11648/j.aas.20261103.18
    T2  - Advances in Applied Sciences
    JF  - Advances in Applied Sciences
    JO  - Advances in Applied Sciences
    SP  - 121
    EP  - 138
    PB  - Science Publishing Group
    SN  - 2575-1514
    UR  - https://doi.org/10.11648/j.aas.20261103.18
    AB  - Environmental radioactivity monitoring is essential for assessing potential exposure risks to humans and marine ecosystem, particularly in coastal marine areas where anthropogenic and natural radionuclides may accumulate. However, research studies on natural radioactivity in Tanzania's coastal marine areas remain scarce. This study was therefore conducted to assess the radioactivity levels of natural radionuclides (226Ra, 232Th, and 40K) in marine sediments and fish samples from the Tanzanian coastal areas, and to estimate the associated radiological health hazards for both humans and marine ecosystem. A total of 49 samples comprising both sediment and fish were randomly collected from 12 coastal sites and composited for analysis. Radioactivity concentrations were measured using gamma spectrometry. For fish samples, the mean activity concentrations were 4.9 ± 1.9 Bq kg⁻1 dry weight (dw) for 226Ra, 488.8 ± 34.1 Bq kg⁻1 dw for 40K, while 232Th was below the detection limit. In sediments, the corresponding mean values were 15.1 ± 2.2, 14.9 ± 2.0, and 320.8 ± 27.4 Bq kg⁻1 dw for 226Ra, 232Th, and 40K, respectively. Based on these data, a comprehensive set of radiological hazard indices was computed, including radium equivalent activity (Raₑq), absorbed dose rate (D), annual effective dose equivalent (Eₑff), external and internal hazard indices (Hₑₓ and Hᵢₙ), representative gamma index (Iᵧ), annual gonadal dose equivalent (AGDE), excess lifetime cancer risk (ELCR), and annual effective dose (AED). The results showed that the computed total annual effective committed dose for fish consumption was below the 1 mSv y⁻1 as recommended by the ICRP, although the mean 40K activity in fish exceeded the global average of 420 Bq kg⁻1. All evaluated hazard indices (Raeq, Hex, D, Eeff, Iγ, AGDE, and ELCR) for sediments, as well as Hᵢₙ and ELCR for fish, were within permissible levels values. In conclusion, the current radioactivity levels in the studied coastal area do not pose a significant radiological risk to human health or the marine ecosystem. Nevertheless, it is advisable to keep monitoring for purpose of detecting any future changes due to natural or anthropogenic influences.
    VL  - 11
    IS  - 3
    ER  - 

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  • Abstract
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  • Document Sections

    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Analytical Methods
    4. 4. Results and Discussion
    5. 5. Conclusion
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