
This study assesses the level of radioactivity, its corresponding dose and risk in areas of intense agropastoral activities in the Mayo-Sava, Mayo-Tsanaga and Mayo-Kani Divisions of the Far North region of Cameroon. The ultimate aim is to show that beyond the geological structure and mineralogical composition of the soil, agricultural fertilizers and animal droppings from livestock farming can contribute significantly to the elevation of the 40K-induced radioactivity level in an environment. Natural radionuclide analysis was carried out on 55 soil samples collected from the three aforementioned localities, using a laboratory NaI (Tl) gamma spectrometer. The mean activity concentrations of 238U, 232Th and 40K were 41, 59 and 529 Bq/kg respectively. The total effective dose to the public and the risk of cancer morbidity were generated by RESRAD-ONSITE code version 7.2. The 0.7 mSv/year maximum total effective dose was estimated at time t = 38 years, with contributions of 56%, 37.3%, 3.9%, 2.1%, 0.7% and 0.07% from plant ingestion, external exposure, meat ingestion, milk ingestion, soil ingestion and inhalation, respectively. Potassium-40 (40K) from plant ingestion is the major contributor. The doses in the initial year of agropastoral activity and the total excess cancer risk were 0.3 mSv/year and 1.165×10-3 respectively. The 40K contributions to effective dose from plant ingestion obtained in this work are high compared to areas where agropastoral activities are not intensive. This may be due to the various fertilizers and animal droppings distributed in nature which are very rich in potassium. Although potassium is essential to life, it is nevertheless necessary for radiation protection to take into account this type of radiological exposure which is not without harmful effects on the environment and health.
Citation: Awe Richard, Koyang François, Bineng Guillaume Samuel, Ndimantchi Ayoba, Takoukam Soh Serge Didier, Saïdou. Contribution of 40K arising from agropastoral activities to the total effective dose by plant ingestion in the Far-North, Cameroon[J]. AIMS Environmental Science, 2022, 9(4): 444-460. doi: 10.3934/environsci.2022027
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This study assesses the level of radioactivity, its corresponding dose and risk in areas of intense agropastoral activities in the Mayo-Sava, Mayo-Tsanaga and Mayo-Kani Divisions of the Far North region of Cameroon. The ultimate aim is to show that beyond the geological structure and mineralogical composition of the soil, agricultural fertilizers and animal droppings from livestock farming can contribute significantly to the elevation of the 40K-induced radioactivity level in an environment. Natural radionuclide analysis was carried out on 55 soil samples collected from the three aforementioned localities, using a laboratory NaI (Tl) gamma spectrometer. The mean activity concentrations of 238U, 232Th and 40K were 41, 59 and 529 Bq/kg respectively. The total effective dose to the public and the risk of cancer morbidity were generated by RESRAD-ONSITE code version 7.2. The 0.7 mSv/year maximum total effective dose was estimated at time t = 38 years, with contributions of 56%, 37.3%, 3.9%, 2.1%, 0.7% and 0.07% from plant ingestion, external exposure, meat ingestion, milk ingestion, soil ingestion and inhalation, respectively. Potassium-40 (40K) from plant ingestion is the major contributor. The doses in the initial year of agropastoral activity and the total excess cancer risk were 0.3 mSv/year and 1.165×10-3 respectively. The 40K contributions to effective dose from plant ingestion obtained in this work are high compared to areas where agropastoral activities are not intensive. This may be due to the various fertilizers and animal droppings distributed in nature which are very rich in potassium. Although potassium is essential to life, it is nevertheless necessary for radiation protection to take into account this type of radiological exposure which is not without harmful effects on the environment and health.
Some activities such as agriculture and animal husbandry conducted in the countryside and agropastoral areas may present high risks of natural human exposure to radioactive sources such as 238U, 232Th and 40K [1,2,3]. Agriculture is one of the foundations of the economy in most countries of the world. To become more profitable, agriculture needs fertilizers, which can be natural or industrial. The use of fertilizers in general takes into account the needs of the soil in mineral salts. The most commonly used chemical fertilizers are rich in potassium, nitrogen and phosphorus [4,5,6]. In plants, potassium is necessary for the strengthening of the cell walls, development of the leaf surfaces, and chlorophyll content of the leaves. This inorganic element is also associated with the flow of water in the plant. In general, potassium is the basis for photosynthesis of the plant canopy and the growth of the crop [3].
For humans and animals, potassium is one of the minerals that the body requires in large quantities. It is a chemical element that plays an important role in the regulation of physiological processes such as digestion and heart rate [7]. It is also involved in the reduction of blood sugar levels and the transfer of ions between the membranes of nerve cells. Potassium therefore has many benefits for human health and is essential for life [3]. An average adult has about 0.18% potassium, while a child has about 0.2% [1]. In nature, potassium occurs in three isotopes, two of which are very abundant: 39K (93.26%), 41K (6.73%), and an unstable 40K (0.0117%), which is in trace amounts in natural potassium. Like uranium and thorium, potassium contributes to natural radioactivity of rocks and to the heat of the Earth [1]. In the environment, potassium is much more prevalent in algae, wood ash, guano, mulch, crushed rock, granite, crop wastes and some composts [3]. In addition, this environmental radioisotope is present in bauxite and red mud in small amounts, in some common foods including red meat, potatoes, white meat, carrots, bananas, lima beans and Brazilian nuts [3]. In addition to the various elements mentioned above, potassium also comes from chemical fertilizers manufactured in industries.
Several studies conducted around the world have shown radioactive elements in soil and food samples collected in different regions. In Cameroon, measurements of environmental radioactivity levels revealed the presence of certain radionuclides such as 238U, 232Th, 235U, 234U, 230Th, 228Th, 226Ra and 210Po in samples of crops and some plants collected in the localities of Poli in the north and, Ngombas, Awanda, Bikoué and Melondo located in the southwest of the Cameroon. The Transfer Factor values calculated for this purpose were found to be higher than those proposed by the IAEA [8,9,10,11]. In Iraq, similar work has shown the presence of 40K in wheat and its derivatives (wheat flour, bran, yeast samples) from Wasit mills, as well as in wheat flour samples used in bakeries distributed in Wasit governorate [3].
In Madagascar, radioactivity levels in samples of cocoa beans and some foodstuffs were found to be significant [12,13]. All of these works focus on public exposure to natural radioactivity and possible causes. Unfortunately, they do not suggest other sources of exposure that are not directly related to soil characteristics or mining operations at a site. Literature shows that 40K is an isotope that is 1/1000 of the natural potassium. In addition, it is found in trace amounts in natural potassium. Moreover, it is responsible for more than half of radioactivity in the human body. Apart from possible variations between individuals, the average dose of 40K that each man receives is equivalent to 0.165 mSv/year for an adult and 0.185 mSv/year for a child [1]. Could this average effective dose that an individual receives increase and harm his health when he is in an area where the 40K content in food is very high? If this is the case, beyond the geological structure of a site and the mineralogical composition of the soil, can man, through certain activities such as agriculture and animal husbandry, not contribute to the increase of this 40K content in his environment? It is well known that potassium is an essential plant nutrient. Although 40K appears in trace amounts in natural potassium, because of the importance of potassium in plant life in general, and their growth and production in particular, 40K can be found in large proportions in plants. Unlike 232Th and 238U which are not useful to plants, 40K is. However, man consumes plants considerably and some consumers are essentially vegans. In the same way, certain animals like the herbivores feed essentially on plants. Others like granivores feed on seeds from these plants and vegetables. By eating these animals and birds, humans indirectly consume 40K present in their meat, milk and eggs. It is therefore necessary, even essential; to have knowledge of the proportions of radioactivity induced by 40K in plants in general and in the plants eaten in particular, because beyond a certain threshold, this radioactivity can be very harmful for human health.
Indeed, the soils of the Far North region are arid, poor and bare. Consequently, the use of fertilizers and animal manure, which are very rich in potassium, is necessary and even indispensable for any agricultural activity. Whether organic or inorganic, potassium is an abundant radioactive residue in nature, hence the use of the RESRAD code in this work to estimate the total effective dose received by the public and to assess the risk of exposure. Just like with 238U and 232Th, the risk of natural exposure to 40K for humans can be very high under certain circumstances [3,5,6]. In the present study, the objective is to show that man, through the use of fertilizers in his multiple agricultural activities and animal droppings (fruits of his livestock activities), spread in nature, is a major contributor to the exposure of the public to environmental radioactivity induced by 40K. To this end, soil samples collected in Mayo-Sava, Mayo-Tsanaga and Mayo-Kani, areas of intense agropastoral activities in the Far North region of Cameroon, were analyzed by gamma spectrometry. The concentrations of 238U, 232Th and 40K were determined using a NaI (Tl) scintillation spectrometer. The total effective dose to the public and the risk of cancer morbidity were derived by deterministic and probabilistic analyses generated by RESRAD-ONSITE code version 7.2. As potassium is an essential element for the plant, the different contributions of 40K to the total effective dose related to the ingestion of plants obtained in this work were compared with that of other areas where agropastoral activities are carried out in a relatively intense way.
The present work covers three Divisions in the Far North region (11o30'43, 20''N, 14°33'03, 60''E) of Cameroon: Mayo-Sava, Mayo-Tsanaga and Mayo-Kani having 2,736, 4,393 and 5,033 km2 of surface area respectively [14].
Figure 1 presents the geological map of the study area. It distinguishes Mayo-Sava, Mayo-Tsanaga and Mayo-Kani Divisions, the localities in which this work was conducted. The climate is of the Sudano-Sahelian type, modified by orographic effects. Rainfall is mainly stormy and varies between 800 and 1,000 mm/year with an average value of 700 mm/year. The rainy season extends from June to October causing abundant runoff with a very high risk of erosion [15]. During the year, temperatures vary between 13 ºC (January) and 38 ºC (April) with an average value of 28 ºC. The annual potential evapotranspiration is about 1600 mm [16]. In the field, there are some valleys that are swept by floods, as well as river flood zones and muskeg along the main rivers of the region.
The soil in the study area is made up of sand, clay, lacustrine, granites, gneisses and laterites. Figure 1 shows that syenite constitutes the partial bedrock of Mayo-Kani Division [15]. In literature, a strong relationship has been established between the radioactivity level of a locality and its bedrock. It has also been proven that the contents of certain radioactive elements such as 238U, 232Th and 40K are very high in granite and syenite. In clays, the contents of 238U and 40K are high [17,18,19]. The streams are seasonal. Indeed, it concerns the agricultural and animal husbandry production areas. The three Divisions investigated are known for their traditional sand and granite quarrying, cotton production and cereal production such as maize, millet, peanuts and rice. In 2004 in the Northern Regions of Cameroon, cotton cultivation covered approximately 250,000 hectares and was practiced by nearly 300,000 farmers whose surface area per producer was approximately 0.8 ha. This crop is one of the driving forces of the economy of the Far North region [4]. Livestock is also largely practiced there. Between 2015 and 2018, beyond other domestic animals and birds, 11581483 horses, camels and donkeys were bred there [20]. Most of these animals are raised in the yard. The agricultural fields surround family plots and entire villages. As a result, thousands of tons of animal manure and fertilizer, which are very rich in potassium, are spread in nature. The population is estimated at 313,413,574,864 and 338,448 inhabitants respectively for Mayo-Sava, Mayo-Tsanaga and Mayo-Kani Divisions [14].
Fifty five (55) soil samples were collected randomly from the study areas. The collection of soil samples began with the identification of the sampling point. These were areas around dwellings and grazing fields, schoolyards and public services, markets and agricultural fields. In general, places where people spend a lot of time. An area of 1 m square was defined, ensuring that the sampling surface was free of vegetation cover in order to minimize the effects of contamination (migration, interference) from the coated soil. Using a planter, a core sample of soil 0–5 cm deep was taken at each vertex and in the middle of the square, where the diagonals meet. The 5 cores thus taken constituted a sample of about 1 kg in mass. The variability could be important from one point to another of the sampling site. Such a procedure made it possible to constitute an average sample from the elementary samples collected and to ensure an average and uniform distribution of the radionuclides at the sampling point represented by the square of dimension 1 m. Coarse material larger than 2 cm and plant roots were removed. The cores were then packaged in a plastic bag, sealed and labeled to avoid contamination and confusion between different samples. After collection, the samples were transported to the Research Centre for Nuclear Science and Technology (CRSTN), Institute of Geological and Mining Research (IRGM) for analysis by γ-spectrometry. Once in the laboratory, the wet samples were dried for 48 hours at 105 ºC in an oven. To ensure homogeneity, the samples were crushed and then sieved. Once this step was completed, the samples were placed in 500 mL cylindrical polyethylene Marinelli beakers, partially filled to allow space for outgassing. To prevent heterogeneity, the samples were mechanically shaken. To ensure tightness, a six-micron thick plastic was placed on top of the vial before sealing with its lid. Such a precaution is necessary to prevent the emanation of radon gas. The set was labeled and then placed in a dry place for a period of 30 days to ensure the secular equilibrium between 226Ra and its daughters.
Radioactivity measurements in the soil samples were made using a NaI (Tl) detector at CRSTN-IRGM. It is a Canberra type, Model 802, with a Crystal of dimensions 7.6 cm×7.6 cm. Its relative efficiency is 7.5% for a resolution of 667 keV. The associated electronics consists of a Canberra preamplifier and an Accuspec acquisition card. The data processing is done by the GENIE 2000 software [21]. These steps allowed obtaining spectra that were stripped and then analyzed. The energy calibration was carried out with reference sources 155Eu, 113Sn, 57Co, 137Cs, 58Mn and 85Zn from the International Atomic Energy Agency [22]. Since direct determination was not obvious for the activities of 238U and 232Th by γ-spectrometry, the 609.3 and 1120 keV energy lines of 214Bi, 338.3 and 911.2 keV of 228Ac, γ-emitting daughters, and the 1460 keV lines were used to determine 238U, 232Th and 40K activity concentrations, respectively. The radionuclide concentration was determined using the following equation [1]:
Where is the concentration of the radionuclide in the sample, is the count under the corresponding peak, is the detector efficiency for the specific gamma ray, is the absolute transition probability of the specific gamma, is the counting time in seconds, and m is the sample mass expressed in .
The minimum detectable activities of NaI (Tl) detector system for 40K, 238U and 232Th are 1.10, 0.74 and 0.43 Bq/kg respectively for a counting time of 100,000 s.
The enhanced version 7.2 of the RESRAD-ONSITE code was used in this study. This code was developed by Argonne National Laboratory of the US Department of Energy (DOE) and the US Nuclear Regulatory Commission (NRC). It was used to estimate radiation doses and cancer risks to the public in a radioactively contaminated environment. In addition, it also allows for the monitoring, cleanup and derivation of radionuclide levels from the following human exposure pathways: external gamma, plant ingestion, meat ingestion, milk ingestion, fish ingestion, drinking water ingestion, soil ingestion, and inhalation of radon emitted from contaminated soil over a 1000-year period. In this work, the total effective dose and cancer morbidity risks were derived by probabilistic and deterministic analyses of the RESRAD-ONSITE code using two types of parameters: parameters specific to the different study areas and some default parameters defined by the RESRAD-ONSITE code version 7.2. These different parameters relate to the characteristics of the contamination, meteorological, hydraulic and hydrogeological data specific to the contaminated study site [23,24]. Table 1 shows the different specific and default parameters used in this study.
Parameters | Default values | Site-specific values |
Area of contaminated zone | - | 4500 km2 |
Thickness of contaminated zone | - | 0.05 m |
Cover depth | 0 | - |
Length parallel to aquifer flow | 100 | - |
Density of contaminated zone | 1.5 g/cm3 | - |
Contaminated erosion rate | 0.001 m/year | - |
Contaminated zone total porosity | 0.4 | - |
Contaminated zone b-parameter | 5.3 | - |
Evapotranspiration coefficient | 0.5 | - |
Wind speed | - | 4 m/s |
Precipitation rate | - | 0.7 m/year |
Irrigation rate | 0.2 m/year | - |
Density of saturated zone | 1.5 g/cm3 | - |
Saturated zone total porosity | 0.4 | - |
Saturated zone effective porosity | 0.2 | - |
Saturated hydraulic gradient | 0.02 | - |
Saturated zone b-parameter | 5.3 | - |
Water table drop rate | 0.001 m/year | - |
Well pump intake depth | 10 | - |
Exposure duration | 30 years | - |
Indoor time factor | - | 0.6 |
Outdoor time factor | - | 0.4 |
Fruits and grains consumption rate | - | 148 kg/year |
Leafy vegetable consumption rate | - | 17 kg/year |
Soil ingestion rate | 36.5 g/year | - |
Drinking water intake | - | 689.85 L/year |
Table 2 presents 238U, 232Th and 40K activity concentrations in soil samples collected in Mayo-Sava, Mayo-Tsanaga and Mayo-Kani Divisions. They ranged from 7 ± 1 to 104 ± 17 Bq/kg with an average value of 41 ± 5 Bq/kg for 238U, from 17 ± 1 to 248 ± 20 Bq/kg with an average value of 59 ± 8 Bq/kg for 232Th and, from 144 ± 21 to 1207 ± 152 Bq/kg with an average value of 529 ± 60 Bq/kg for 40K. More than half of the soil samples collected and analyzed in this study had 238U and 232Th concentrations greater than 34 Bq/kg and 47 Bq/kg respectively. All these values are higher than the corresponding world average values given by UNSCEAR [1]. In addition, 18% of the samples had 238U concentrations at least twice as high as 33 Bq/kg, the world average value; 13% of these samples had 232Th concentrations at least twice as high as 45 Bq/kg, the world average value [1]. As for 40K, 51% of the concentrations were above 500 Bq/kg, the median value; this value is higher than the world average value of 420 Bq/kg. In general, the different localities in this study had high 238U, 232Th and 40K concentration values at several points.
Study area | Radionuclide | Mean (Bq/kg) | Median (Bq/kg) | Min - Max (Bq/kg) |
Mayo-Sava | 40K | 684 ± 62 | 704 | 343–1204 |
232Th | 64 ± 7 | 54 | 34–129 | |
238U | 47 ± 5 | 42 | 33–83 | |
Mayo-Tsanaga | 40K | 706 ± 69 | 749 | 217–1207 |
232Th | 64 ± 8 | 56 | 18–90 | |
238U | 47 ± 6 | 45 | 7–87 | |
Mayo-Kani | 40K | 326 ± 47 | 223 | 144–943 |
232Th | 53 ± 10 | 37 | 18–249 | |
238U | 34 ± 5 | 23 | 15–103 | |
All study area | 40K | 529 ± 60 | 500 | 144–1207 |
232Th | 59 ± 8 | 47 | 17–248 | |
238U | 41 ± 5 | 34 | 7–104 |
These high values of activity concentrations of primordial radionuclides can be justified by the fact that part of the present study areas are underlain by syenite (Mayo-Kani). As for the rest of the study areas, sands, clay, granite, gneiss and laterite are abundant [15,16]. Specifically, the study areas are sahelian; hence the abundant presence of sand. This sand certainly comes from the degradation of granite and gneiss which are the essential constituents of the bedrock of the region. In the literature, it is proven that there is a strong correlation between radioactivity level and rock [25,26,27,28,29,30,31,32,33]. Some rocks such as syenite, granite, and clays sometimes have very high uranium and thorium contents [17,19]. Work carried out in the localities of Akongo, Ngombas, Bikoué, Awanda and Lolodorf, in southwestern Cameroon, revealed the presence of 238U, 232Th and 40K at relatively high levels in certain soil and rock samples [2,34,35,36,37]. Indeed, the localities of Ngombas, Akongo, Awanda and Lolodorf are in the same area. Syenite, granite and gneiss are the basic rocks from which their different soils were formed [2]. A study of the vertical distribution of uranium and thorium in the Akongo lateritic profile in southwestern Cameroon over a depth ranging from the superficial layer to the syenite revealed the presence of uranium and thorium at varying levels depending on the different layers of the profile. The average grades in the source rock were 5 ppm (or 20 Bq/kg) for uranium and 3 ppm (or 37 Bq/kg) for thorium. In the matrix of the surface layer, the concentration of uranium decreased until it reached 3ppm (12.18 Bq/kg), while that of thorium increased to values 5 times higher than the initial value (185 Bq/kg) [17]. Similarly, the analysis of several soil and rock samples also showed a high concentration of uranium and thorium in granites and syenites, while they were found to be lower in basalts and very low in peridotites [38]. All these show that there is a strong link between the rock and radioactivity on the one hand, and the syenite, granite, clay and the variations of the concentrations of 238U, 232Th and 40K on the other hand. In view of the above data, it follows that the high concentrations of the primordial radionuclides in the soil samples obtained in this work are the direct consequences of the mineralogical and geological structure of the soil and subsoil of Mayo-Tsanaga, Mayo-Sava and Mayo-Kani localities.
Figure 2 shows the contributions of 40K, 232Th and 238U from all exposure pathways summed over 100 years in the study areas. For the entire study area, the maximum total effective dose of 0.7 mSv/year is obtained at time years. At year, the dose is minimal. Then, it increases and reaches a maximum value before starting to decrease to 0.5 mSv/year at years. For 40K, the highest dose, estimated at 0.23 mSv/year, is obtained in the first year. Thereafter, it decreases slightly. For 232Th, the lowest dose is obtained in the initial year and the highest dose occurs at time years. At years, this value is estimated to be 0.46 mSv/year. During the whole period from 1 to 100 years, 232Th dose has the same behavior as the total effective dose. The 238U dose appears as a trace in the different localities from the initial year to time years. Initially ( year), the total effective doses due to the sum of all radionuclides were 0.32 mSv/year, 0.33 mSv/year, 0.16 mSv/year in Mayo-Sava, Mayo-Tsanaga and Mayo-Kani, respectively. Initially, it was found that among the three radionuclides investigated in the current work, 40K contributes 91%, 92%, 86% and 91% to the total effective dose respectively in Mayo-Sava, Mayo-Tsanaga, Mayo-Kani and the whole study area. In general, this contribution remains maximum during the first 6 years.
Maximum effective doses were estimated at time years for Mayo-Sava and Mayo-Tsanaga, and at years for Mayo-Kani. Their values were 0.55 mSv/year in Mayo-Sava and 0.8 mSv/year in Mayo-Tsanaga, and Mayo-Kani. The contributions of 232Th to the estimated maximum total effective dose from all pathways were the highest, followed by those of 40K. The aforementioned maximum total effective dose values are all lower than1 mSv/year, the limit value set by UNSCEAR [1]. The results show that the effective doses of the different radionuclides vary between locations. This is related to possible variations in the geological and mineralogical structure of the soils. On the other hand, this dose variation can also be justified by the intensive agricultural and livestock activities carried out in these localities [5,20].
Figure 3 illustrates the effective doses from the different exposure pathways over 100 years. In fact, there are thirteen (13) exposure pathways divided into two major groups: water-dependent and water-independent. The maximum total effective dose 0.7 mSv/year in the present study was estimated at time years, with contributions of 56%, 37.3%, 3.9%, 2.1%, 0.7% and 0.07% from plant ingestion, external exposure, meat ingestion, milk ingestion, soil ingestion and inhalation respectively. It can be seen that the pathway that contributed most to the total dose was plant ingestion (water independent), followed by the external gamma radiation pathway. The pathways characterized by the ingestion of meat, milk, water, soil and inhalation contributed small proportions to the total effective dose compared to the other two pathways. Potassium, an essential element for life, is believed to be abundant in plants and meat. The contribution of the various radionuclides in plant ingestion, which is the most dominant exposure pathway, was 0.17%, 0.55%, and 38.4% for 238U, 232Th, and 40K respectively. In the present study areas, 40K is the major contributor in this pathway in the initial year. In addition, this high contribution of 40K can be justified by the intensive practice of agropastoral activities in these different localities. In terms of proportions of fertilizers used, in 2010 for example, 24.5% of organic fertilizers against 75.5% of mineral fertilizer were used to increase agricultural production [4]. As organic manures are produced from animal manure, composts and plants, as a fertilizer used at 24.5% to boost agricultural production, it is inevitable that the soil will be rich in potassium and subsequently crops cultivated in these areas.
This part of the study focuses on 40K and its contribution to the effective dose from plant ingestion. Potassium is an essential plant nutrient. Tables 3 and 4 compare the contributions of 40K to the effective dose from plant ingestion in locations in Cameroon where agropastoral activities are also conducted, but relatively intense. The locations in Tables 3 and 4 are divided into two main groups: the Grand-North and the Grand-South of Cameroon, which differ in climate and vegetation. The Grand-North has a Sudano-Sahelian climate with temperatures ranging from 13 ℃ to 38 ℃ [21]. It is made up of the localities of Mayo-Sava, Mayo-Tsanaga, and Mayo-Kani in the Far North and Poli in the North. The Grand-South has an equatorial climate with temperatures ranging from 25℃ to 26℃ [2]. It is made up of Betaré-Oya in the East, Akongo, Awanda, Eséka, Lolodorf and Ngombas in the Southwest of Cameroon.
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) |
Mayo-Sava | 1.373×10-1 | 1.575×10-1 | 43.33 | 3.164×10-1 | 91.29 |
Mayo-Tsanaga | 1.450×10-1 | 1.652×10-1 | 43.53 | 3.330×10-1 | 91.70 |
Mayo-Kani | 6.705×10-2 | 8.374×10-2 | 40.90 | 1.639×10-1 | 86.17 |
Poli | 1.016×10-1 | 1.104×10-1 | 44.48 | 2.263×10-1 | 94.55 |
Lolodorf | 3.653×10-2 | 5.320×10-2 | 36.70 | 9.955×10-2 | 77.30 |
Betaré-Oya | 3.955×10-2 | 5.129×10-2 | 39.67 | 9.968×10-2 | 83.58 |
Akongo | 2.188×10-2 | 3.624×10-2 | 33.51 | 6.530×10-2 | 70.58 |
Awanda | 1.786×10-2 | 2.449×10-2 | 38.27 | 4.667×10-2 | 80.63 |
Eséka | 1.766×10-2 | 2.859×10-2 | 34.09 | 5.102×10-2 | 71.81 |
Ngombas | 3.645×10-2 | 5.310×10-2 | 36.69 | 9.935×10-2 | 77.29 |
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) | Maximum time (year) |
Mayo-Sava | 1.259×10-1 | 4.539×10-1 | 16.17 | 7.785×10-1 | 34.06 | 37 |
Mayo-Tsanaga | 1.337×10-1 | 4.609×10-1 | 16.77 | 7.993×10-1 | 35.32 | 37 |
Mayo-Kani | 6.089×10-2 | 3.335×10-1 | 10.97 | 5.548×10-1 | 23.12 | 42 |
Poli | 9.261×10-2 | 2.342×10-1 | 22.23 | 4.166×10-1 | 46.84 | 76 |
Lolodorf | 3.223×10-2 | 3.043×10-1 | 6.53 | 4.936×10-1 | 13.76 | 45 |
Betaré-Oya | 3.551×10-2 | 2.256×10-1 | 9.53 | 3.727×10-1 | 20.08 | 42 |
Akongo | 1.916×10-2 | 2.554×10-1 | 4.67 | 4.100×10-1 | 9.84 | 47 |
Awanda | 1.593×10-2 | 1.236×10-1 | 7.84 | 2.020×10-1 | 16.51 | 43 |
Eséka | 1.549×10-2 | 1.952×10-1 | 4.93 | 3.138×10-1 | 10.40 | 47 |
Ngombas | 2.162×10-2 | 2.851×10-1 | 4.52 | 4.787×10-1 | 9.52 | 70 |
Figure 2 shows that the effective dose of 40K is maximum at the initial time point. That is, at the first year when this study was done. During the rest of the time up to year 100, the value of 40K effective dose decreases slightly; but does not cancel out. Table 3 presents the estimated effective doses of 40K at the times when the maximum values were obtained. The total effective dose values related to plant ingestion obtained in the localities of Mayo-Sava, Mayo-Tsanaga, Mayo-Kani, and Poli ranged from 8.37×10-2 to 1.65×10-1 mSv/year.
These values are generally higher than those obtained in Lolodorf, Betaré-Oya, Akongo, Awanda, Eséka, and Ngombas; the latter ranging from 2.45×10-2 to 5.32×10-2 mSv/year. Table 3 also shows that plants contribute nearly 50% to the total effective dose. This large contribution of plants to the total effective dose finds its reason in the proportions 40K occupies in dose related to plant ingestion. Compared to the other locations, the 40K dose from plant ingestion in Mayo-Sava, Mayo-Tsanaga, Mayo-Kani and Poli in the Grand-North are higher. The smallest and largest 40K dose values are 1.83 and 8.14 times higher, respectively, than their counterparts in the Grand-South. These 40K effective dose values are mostly 3 times higher.
Table 4 shows the contributions of 40K to the effective dose from plant ingestion at maximum times; a time that is specific to each locality. Here, the effective dose of 40K in the different study locations no longer contributes predominantly to the effective dose from plant ingestion. This can be justified by the fact that after a relatively long time, the 40K content starts to decrease. Table 4 shows that effective doses from plant ingestion in the Grand-North localities still remain higher than those in other localities. They ranged from 6.089×10-2 to 1.337×10-1 mSv/year. In this part of the country, the 40K contributions are between 1.5 and 3.7 times are higher than in other localities. The highest value of 40K dose was measured in Mayo-Tsanaga locality. The lowest 40K dose estimated at 6.089×10-2 mSv/year in Mayo-Kani. In the other localities, the effective doses of 40K due to plant ingestion ranged from 1.549×10-2 to 3.551×10-2 mSv/year. The highest value was measured at Betaré-Oya, a gold mining locality located in the East of Cameroon. Gold is mined both in an artisanal and industrial manner. The localities of Mayo-Sava, Mayo-Tsanaga, and Mayo-Kani are not recognized as mining nor potential mining areas. On the other hand, Poli, Ngombas, Lolodorf, Akongo, Awanda and Eséka are potential mining areas; but are not yet operational. Previous work in these areas has revealed relatively high concentrations of 40K in soil samples. A study conducted by Saïdou et al. [8] in the uranium bearing region of Poli in Northern Cameroon, revealed the occurrence of potassium anomalies with activity concentrations of 40K reaching 1124 Bq/kg with the average value of 506 Bq/kg.
Compared to the Far North areas, 40K contributions to the effective dose from plant ingestion are lower in Akongo, Eséka and Ngombas localities in the Centre Region, Awanda and Bétaré-Oya in the southern and eastern regions of Cameroon respectively.
This difference can be explained by the many agropastoral activities that are intensively carried out in the far north of the country. In practice, majority of the population of Poli, as well as those of Mayo-Kani, Mayo-Tsanaga and Mayo-Sava live from agriculture and animal husbandry [4,5,20]. In these areas, the soils are very arid. To enrich the soil and increase production, farmers continuously use large amounts of agricultural fertilizers and livestock droppings [4,5]. These products are very rich in potassium. As a result, every year thousands of tons of animal manure, mineral and organic fertilizers, which are very rich in potassium, are released into the environment as radioactive waste. Since potassium is an essential element for plants, the high contributions of 40K in plant ingestion doses are strongly related to the potassium content of the soil. Thus, if the soil is permanently enriched with potassium from any source, the plants in the soil consume it and inevitably become rich in potassium, and 40K.
Figure 4 shows the excess risk of cancer morbidity due to 238U, 232Th and 40K in the different summed exposure pathways. The results generated by the RESRAD code revealed a total excess cancer morbidity risk of 1.165×10-3 across the study area. The cancer morbidity risk was estimated to be 3.585×10-6 for 238U, 4.447×10-4 for 232Th, and 7.168×10-4 for 40K. These different values of excess cancer risk are all higher than 3.00×10-4, the global cut-off value set by World Health Organization [39]. Compared to the work conducted by Shima Ziajahromi et al., the risk of cancer morbidity in Iran due to 238U (4.73×10-2) is higher. In contrast, this risk is lower for 232Th (1.41×10-4) and 40K (1.3×10-4) [39]. In addition, the above results show that the risk of morbidity from prolonged exposure to 40K is higher than all others in this study. In Mayo-Sava, Mayo-Tsanaga and Mayo-Kani localities, the contribution of 40K to the excess cancer risk was 63.21%, 64.45% and 50.35% respectively. For the pathways related to ingestion of meat, milk, water, soil, and inhalation, their different contributions to the total excess cancer risk were low for the entire period. The contributions of 3.9% and 2.1% to the intake of meat and milk respectively, which are not zero, can be explained by the fact that the study areas host activities that spread waste rich in potassium, an element that feeds the plants and is consumed by the animals through these plants. Consequently, it is found in the meat and milk of these animals.
Figure 5 presents the cancer risk induced by 238U, 232Th and 40K in the different exposure routes for 100 years. During the first 30 years, there is a slight increase in the risk values for the external gamma exposure pathway and plant ingestion. These values decrease considerably between 30 and 100 years. The excess cancer risk at the initial year is strongly influenced by plant ingestion and external gamma respectively.
Although it appears in trace amounts in natural potassium, due to the high requirement of potassium for plant life in general and their growth in particular, in the present study 40K is found in large proportions in plants. On the other hand, humans consume plants considerably and some are essentially vegan. Similarly, some animals, such as herbivores, eat mainly plants. Others, such as granivores, live on seeds from these plants and vegetables. Thus, humans, by feeding on these animals and birds, indirectly consume 40K present in their meat, milk and eggs. Beyond a certain threshold, this radioactivity can be very dangerous for our health. It is therefore necessary and even essential to have knowledge on the proportions of radioactivity induced by 40K in plants in general and in the plants we consume in particular.
The levels of natural radioactivity, radiation dose and risk were assessed in Mayo-Sava, Mayo-Tsanaga and Mayo-Kani, three areas of intense agropastoral activities in the Far North region of Cameroon, using a NaI (Tl) scintillation spectrometer and the RESRAD code, respectively. The mean values of 238U, 232Th and 40K activity concentrations obtained were all above their global correspondents set by UNSCEAR. The maximum total effective dose of 0.7 mSv/year for the entire study was estimated at time years, with contributions of 56%, 37.3%, 3.9%, 2.1%, 0.7% and 0.07% from plant ingestion, external exposure, meat ingestion, milk ingestion, soil ingestion and inhalation, respectively. 40K through plant ingestion was the major contributor. Compared to areas where agropastoral activities were not intensively conducted, the contributions of 40K to the effective dose from plant ingestion were higher. Besides the geological structure and mineralogical composition of the soil, the present state of affairs may be due to the various fertilizers and animal droppings that are very rich in potassium and are distributed in the environment. Although potassium is essential to life, it is necessary, even indispensable, to have knowledge of the proportions of radioactivity induced by 40K in plants in general and in plants that humans consume in particular. This is because beyond a threshold, radioactivity induced by 40K can be very dangerous for health.
The Ministry of Scientific Research and Innovation of Cameroon is acknowledged for funding the field work through the 2019 Public Investment Budget allocated to the Institute of Geological and Mining Research.
All authors declare no conflict of interest in this paper.
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Parameters | Default values | Site-specific values |
Area of contaminated zone | - | 4500 km2 |
Thickness of contaminated zone | - | 0.05 m |
Cover depth | 0 | - |
Length parallel to aquifer flow | 100 | - |
Density of contaminated zone | 1.5 g/cm3 | - |
Contaminated erosion rate | 0.001 m/year | - |
Contaminated zone total porosity | 0.4 | - |
Contaminated zone b-parameter | 5.3 | - |
Evapotranspiration coefficient | 0.5 | - |
Wind speed | - | 4 m/s |
Precipitation rate | - | 0.7 m/year |
Irrigation rate | 0.2 m/year | - |
Density of saturated zone | 1.5 g/cm3 | - |
Saturated zone total porosity | 0.4 | - |
Saturated zone effective porosity | 0.2 | - |
Saturated hydraulic gradient | 0.02 | - |
Saturated zone b-parameter | 5.3 | - |
Water table drop rate | 0.001 m/year | - |
Well pump intake depth | 10 | - |
Exposure duration | 30 years | - |
Indoor time factor | - | 0.6 |
Outdoor time factor | - | 0.4 |
Fruits and grains consumption rate | - | 148 kg/year |
Leafy vegetable consumption rate | - | 17 kg/year |
Soil ingestion rate | 36.5 g/year | - |
Drinking water intake | - | 689.85 L/year |
Study area | Radionuclide | Mean (Bq/kg) | Median (Bq/kg) | Min - Max (Bq/kg) |
Mayo-Sava | 40K | 684 ± 62 | 704 | 343–1204 |
232Th | 64 ± 7 | 54 | 34–129 | |
238U | 47 ± 5 | 42 | 33–83 | |
Mayo-Tsanaga | 40K | 706 ± 69 | 749 | 217–1207 |
232Th | 64 ± 8 | 56 | 18–90 | |
238U | 47 ± 6 | 45 | 7–87 | |
Mayo-Kani | 40K | 326 ± 47 | 223 | 144–943 |
232Th | 53 ± 10 | 37 | 18–249 | |
238U | 34 ± 5 | 23 | 15–103 | |
All study area | 40K | 529 ± 60 | 500 | 144–1207 |
232Th | 59 ± 8 | 47 | 17–248 | |
238U | 41 ± 5 | 34 | 7–104 |
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) |
Mayo-Sava | 1.373×10-1 | 1.575×10-1 | 43.33 | 3.164×10-1 | 91.29 |
Mayo-Tsanaga | 1.450×10-1 | 1.652×10-1 | 43.53 | 3.330×10-1 | 91.70 |
Mayo-Kani | 6.705×10-2 | 8.374×10-2 | 40.90 | 1.639×10-1 | 86.17 |
Poli | 1.016×10-1 | 1.104×10-1 | 44.48 | 2.263×10-1 | 94.55 |
Lolodorf | 3.653×10-2 | 5.320×10-2 | 36.70 | 9.955×10-2 | 77.30 |
Betaré-Oya | 3.955×10-2 | 5.129×10-2 | 39.67 | 9.968×10-2 | 83.58 |
Akongo | 2.188×10-2 | 3.624×10-2 | 33.51 | 6.530×10-2 | 70.58 |
Awanda | 1.786×10-2 | 2.449×10-2 | 38.27 | 4.667×10-2 | 80.63 |
Eséka | 1.766×10-2 | 2.859×10-2 | 34.09 | 5.102×10-2 | 71.81 |
Ngombas | 3.645×10-2 | 5.310×10-2 | 36.69 | 9.935×10-2 | 77.29 |
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) | Maximum time (year) |
Mayo-Sava | 1.259×10-1 | 4.539×10-1 | 16.17 | 7.785×10-1 | 34.06 | 37 |
Mayo-Tsanaga | 1.337×10-1 | 4.609×10-1 | 16.77 | 7.993×10-1 | 35.32 | 37 |
Mayo-Kani | 6.089×10-2 | 3.335×10-1 | 10.97 | 5.548×10-1 | 23.12 | 42 |
Poli | 9.261×10-2 | 2.342×10-1 | 22.23 | 4.166×10-1 | 46.84 | 76 |
Lolodorf | 3.223×10-2 | 3.043×10-1 | 6.53 | 4.936×10-1 | 13.76 | 45 |
Betaré-Oya | 3.551×10-2 | 2.256×10-1 | 9.53 | 3.727×10-1 | 20.08 | 42 |
Akongo | 1.916×10-2 | 2.554×10-1 | 4.67 | 4.100×10-1 | 9.84 | 47 |
Awanda | 1.593×10-2 | 1.236×10-1 | 7.84 | 2.020×10-1 | 16.51 | 43 |
Eséka | 1.549×10-2 | 1.952×10-1 | 4.93 | 3.138×10-1 | 10.40 | 47 |
Ngombas | 2.162×10-2 | 2.851×10-1 | 4.52 | 4.787×10-1 | 9.52 | 70 |
Parameters | Default values | Site-specific values |
Area of contaminated zone | - | 4500 km2 |
Thickness of contaminated zone | - | 0.05 m |
Cover depth | 0 | - |
Length parallel to aquifer flow | 100 | - |
Density of contaminated zone | 1.5 g/cm3 | - |
Contaminated erosion rate | 0.001 m/year | - |
Contaminated zone total porosity | 0.4 | - |
Contaminated zone b-parameter | 5.3 | - |
Evapotranspiration coefficient | 0.5 | - |
Wind speed | - | 4 m/s |
Precipitation rate | - | 0.7 m/year |
Irrigation rate | 0.2 m/year | - |
Density of saturated zone | 1.5 g/cm3 | - |
Saturated zone total porosity | 0.4 | - |
Saturated zone effective porosity | 0.2 | - |
Saturated hydraulic gradient | 0.02 | - |
Saturated zone b-parameter | 5.3 | - |
Water table drop rate | 0.001 m/year | - |
Well pump intake depth | 10 | - |
Exposure duration | 30 years | - |
Indoor time factor | - | 0.6 |
Outdoor time factor | - | 0.4 |
Fruits and grains consumption rate | - | 148 kg/year |
Leafy vegetable consumption rate | - | 17 kg/year |
Soil ingestion rate | 36.5 g/year | - |
Drinking water intake | - | 689.85 L/year |
Study area | Radionuclide | Mean (Bq/kg) | Median (Bq/kg) | Min - Max (Bq/kg) |
Mayo-Sava | 40K | 684 ± 62 | 704 | 343–1204 |
232Th | 64 ± 7 | 54 | 34–129 | |
238U | 47 ± 5 | 42 | 33–83 | |
Mayo-Tsanaga | 40K | 706 ± 69 | 749 | 217–1207 |
232Th | 64 ± 8 | 56 | 18–90 | |
238U | 47 ± 6 | 45 | 7–87 | |
Mayo-Kani | 40K | 326 ± 47 | 223 | 144–943 |
232Th | 53 ± 10 | 37 | 18–249 | |
238U | 34 ± 5 | 23 | 15–103 | |
All study area | 40K | 529 ± 60 | 500 | 144–1207 |
232Th | 59 ± 8 | 47 | 17–248 | |
238U | 41 ± 5 | 34 | 7–104 |
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) |
Mayo-Sava | 1.373×10-1 | 1.575×10-1 | 43.33 | 3.164×10-1 | 91.29 |
Mayo-Tsanaga | 1.450×10-1 | 1.652×10-1 | 43.53 | 3.330×10-1 | 91.70 |
Mayo-Kani | 6.705×10-2 | 8.374×10-2 | 40.90 | 1.639×10-1 | 86.17 |
Poli | 1.016×10-1 | 1.104×10-1 | 44.48 | 2.263×10-1 | 94.55 |
Lolodorf | 3.653×10-2 | 5.320×10-2 | 36.70 | 9.955×10-2 | 77.30 |
Betaré-Oya | 3.955×10-2 | 5.129×10-2 | 39.67 | 9.968×10-2 | 83.58 |
Akongo | 2.188×10-2 | 3.624×10-2 | 33.51 | 6.530×10-2 | 70.58 |
Awanda | 1.786×10-2 | 2.449×10-2 | 38.27 | 4.667×10-2 | 80.63 |
Eséka | 1.766×10-2 | 2.859×10-2 | 34.09 | 5.102×10-2 | 71.81 |
Ngombas | 3.645×10-2 | 5.310×10-2 | 36.69 | 9.935×10-2 | 77.29 |
Localities | Effective dose from 40K in plant ingestion (mSv/year) | Total effective dose from plant ingestion (mSv/year) | Contribution of 40K to the effective dose from plant ingestion | Total effective dose (mSv/year) | Contribution of 40K to the total effective dose (%) | Maximum time (year) |
Mayo-Sava | 1.259×10-1 | 4.539×10-1 | 16.17 | 7.785×10-1 | 34.06 | 37 |
Mayo-Tsanaga | 1.337×10-1 | 4.609×10-1 | 16.77 | 7.993×10-1 | 35.32 | 37 |
Mayo-Kani | 6.089×10-2 | 3.335×10-1 | 10.97 | 5.548×10-1 | 23.12 | 42 |
Poli | 9.261×10-2 | 2.342×10-1 | 22.23 | 4.166×10-1 | 46.84 | 76 |
Lolodorf | 3.223×10-2 | 3.043×10-1 | 6.53 | 4.936×10-1 | 13.76 | 45 |
Betaré-Oya | 3.551×10-2 | 2.256×10-1 | 9.53 | 3.727×10-1 | 20.08 | 42 |
Akongo | 1.916×10-2 | 2.554×10-1 | 4.67 | 4.100×10-1 | 9.84 | 47 |
Awanda | 1.593×10-2 | 1.236×10-1 | 7.84 | 2.020×10-1 | 16.51 | 43 |
Eséka | 1.549×10-2 | 1.952×10-1 | 4.93 | 3.138×10-1 | 10.40 | 47 |
Ngombas | 2.162×10-2 | 2.851×10-1 | 4.52 | 4.787×10-1 | 9.52 | 70 |