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Annals of Environmental Science and Ecology

Elimination of Urinary Fluoride in the Population of Diamaré in Relation to Water Contamination

Abstract Citation INTRODUCTION METHOD RESULTS: COMPARISON OF CONCENTRATIONS OF FLUORIDE IONS IN WATER TO NATIONAL NORMS VALUE. COMPARISON OF CONCENTRATIONS OF FLUORIDE IONS IN WATER TO WHO NORMS VALUE VARIATION OF FLUORIDE IN URINE SAMPLE WITH AGE. MEAN CONCENTRATION AND STANDARD DEVIATION OF FLUORIDE IN URINE DISCUSSION THE CONCENTRATION OF FLUORIDE IONS IN WATER AND URINE, AND THE CONCENTRATION OF CALCIUM AND ALKALINE PHOSPHATASES IN BLOOD. CONCLUSION REFERENCES
Details

Received: 30-Jun-2025

Accepted: 08-Aug-2025

Published: 09-Aug-2025

Antoine Vayaraï MANAODA1*, SAMIRA Amadou2, YINYANG Jacques1, NGOULE Charles2, ETAME LOE Giselle2 and ADIOGO Dieudonné1

1Toxicology and Pharmacology Laboratory of the Department of Pharmaceutical Sciences, University of Douala, Cameroon

2Laboratory of the Center for The Study and Control of Communicable Diseases of the Faculty of Medicine and Biomedical Sciences of the University of Yaoundé, Cameroon

Corresponding Author:

Antoine Vayaraï MANAODA, Toxicology and Pharmacology Laboratory of the Department of Pharmaceutical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Cameroon, B.P. 2701 Douala, Cameroon.

Keywords

Fluorosis; Population; Fluorine; Sources Of Water.

Abstract

Introduction: Fluorosis, also known as fluorine poisoning is a disease caused by the disruption of various metabolic pathways, one of which includes calcium metabolism implicated in dental and bone formation due to the replacement of calcium by fluoride ions in bone matrix. The aim of study was to determine the presence of fluorine of the population consuming water contaminated at the Diamaré Division.

Method: A cross sectional analytic study design in 7 villages at the Diamaré division from 1st December 2021 to 30th May 2022 was carried out. Participants who gave consent and filled the selection criteria were included. The socio-demographic characteristics, medical history, eating habits and clinical characteristics of the participants were obtained using a questionnaire. Samples of urine, blood of participants and water were collected for analysis at the Centre for Study and Control of Communicable Diseases at the Faculty of Medicine and Biomedical Sciences of the University of Yaoundé. Fluoride concentration in water and urine. Data entry and analysis was done using Epi info; Associations were derived from bivariate analysis.

Results: We had bore holes, wells and river as water sources used of water for drinking, cooking and household activities. 152 participants were recruited and the most common water source used was bore holes (N=94; 61.84.7%). Some used water from one source only; others from two sources or more. Majority had Joint pains (78.7%). Dental fluorosis accounted for 26%., bowed legs 4.7%, skeletal deformities 6%, immobilization of joints 41.3% and knocked knees 1.3%. A mean water fluoride concentration of 1.30 ±1.68mg/l ranging from 0.04-5.75mg/l was obtained from 30 samples of water collected while that of 2.89 ±2.87mg/l ranging from 0.05-14.35 mg/l was obtained from urine.

Conclusion: The majority of water sources (wells and boreholes) used by our study population for consumption are contaminated with fluoride which is eliminated in urine by the entire population.

Citation

MANAODA AV, Amadou S, Jacques Y, Charles N, Giselle EL, et al. (2025) Elimination of Urinary Fluoride in the Population of Diamaré in Relation to Water Contamination. Ann Environ Sci Ecol 3: 6.

INTRODUCTION

The element fluorine is a gas which exists only in a combined state in fluoride compounds of the earth crust [1, 2]. The intake of fluorine beyond safe limits leads to fluorine poisoning which can be acute or chronic according to the amount and period of consumption [1]. Acute toxicity is related to a single ingestion of a large amount of fluoride leading to diffuse abdominal pain, respiratory arrest, cardiac depression, neurotoxicity, diarrhea, vomiting, excess salivation and thirst [1-4]. Whereas chronic toxicity is related to a long-term ingestion of smaller amounts of fluoride in drinking water leading to dental fluorosis, skeletal fluorosis, non-skeletal fluorosis in soft tissues, bone fractures, kidney damage, chromosome damage, thyroid changes, growth retardation, infertility, skin lesions, cardiovascular disorders and neurological defects associated with reduced IQ in children [1-5].

A study carried out in 2017 estimated that about 200 million individuals worldwide are exposed to fluorine poisoning, with India and China being the most exposed [5], exceeding the WHO safe limits of 1,5 mg/l [6].

Whereas in Africa, studies on fluorine poisoning were carried out in certain countries like Tanzania, Kenya, Uganda, Nigeria, Ethiopia, Sudan and South Africa [7-10]. A study done in 2010 in Tanzania revealed that more than 90% of children aged from 7-10 years had dental and skeletal fluorosis with dental fluorosis in majority [9].

To the best of our knowledge, we have not seen any study on the impact of fluorine toxicity in the calcium metabolic pathway in the country. Chronic fluorosis can be linked to a broad number of problems with many reports on dental and skeletal fluorosis. Hence, we had an aim to evaluate the level of bone troubles related to chronic fluorosis at the Diamaré Division.

METHOD

A cross sectional analytic study design in 7 villages at the Diamare division from 1st December 2021 to 30th May 2022 was carried out. Participants who gave consent and filled the selection criteria were included. The socio-demographic characteristics, medical history, eating habits and clinical characteristics of the participants were obtained using a questionnaire. Samples of urine, blood of participants and water were collected for analysis at the Centre for Study and Control of Communicable Diseases at the Faculty of Medicine and Biomedical Sciences of the University of Yaoundé. Fluoride concentration in water and urine, calcium and ALP levels in serum of participants were obtained.

Data entry and analysis was done using Epi info; Associations were derived from bivariate analysis.

RESULTS:

Enrolment Process One hundred and fifty three participants were enrolled at the chosen villages with high fluoride concentration at the Diamare division. One participant was excluded because of a short term residence (<1 year) in the area of study. The Figure 1 below shows the flowchart of the enrolment of participants.

Figure 1: Flow Chart of Enrolment Process.

A total of 152 participants were included in our study. Their socio demographic data distribution is seen on Table 1.

Table 1: Socio-Demographic Characteristics of Participants

 

 

Variables

 

Frequency (N=152)

 

Percentage(%)

Age Group (Years)

 

 

20-30

25

16.45%

31-40

29

19.08%

41-50

34

22.37%

51-60

29

19.08%

61-70

19

12.50%

>70

16

10.53%

Total

152

100%

Sex

 

 

Male

105

69.08%

Female

47

30.92%

 

Village

 

 

 

Tchere

 

53

 

34.87%

 

Meri

 

9

 

05.92%

 

Douvangar

 

14

 

09.21%

 

Guinlaye

 

28

 

18.42%

 

Baouli

 

11

 

07.24%

 

Mikiri

 

20

 

13.16%

 

Gouzoulam

 

17

 

11.18%

 

Religion

 

 

 

Islam

 

78

 

51.32%

 

Christianity

 

51

 

33.55%

 

None

 

23

 

15.13%

 

Level of Education

 

 

 

Primary

 

41

 

26.97%

 

Secondary

 

13

 

8.55%

 

No Formal Education

 

98

 

64.47%

Most of the participants were in the age group of 41-50 years (N=34; 22.4%). The mean age was 48.7(±16.5) years and ranging from 20-19 years old. Most of the participants came from the Tchere village (N=53; 34.9%). The sex ratio was 105:47 (2.23) with the majority of participants being males (N=105; 69.1%) and most of them were Muslims (N=78; 51.3%). In addition, 64.5% of them had no formal education.

Water Sources and Uses by Inhabitants

We identified rivers, wells and bore holes as water sources used by the inhabitants at the Diamare division. The most common water source used by the participants was bore holes (N=94; 61.84 %) as shown in table VIII. Some of the participants used water from one source only, two sources or more. 12% of them (N= 18) used water from the three kinds of sources identified. They all (N=150; 100%) used the water sources for drinking, cooking, bathing, laundry, dish washing, farming and animal rearing (Table 2).

Table 2: Frequencies and Proportions of General and Detailed Water Usage by Participants (N=150)

Source

Frequency (N)

Percentage (%)

 

General water usage per source

 

 

 

Well

 

70

 

46.05%

Bore hole

94

61.84%

 

River

 

24

 

15.79%

 

Detailed water usage

 

 

 

Bore hole only

 

77

 

50.66%

 

Well only

 

34

 

22.37%

 

River only

 

2

 

1.32%

 

Well, Bore hole and River

 

3

 

1.97%

 

Bore hole and Well

 

17

 

11.18%

 

Bore hole and river

 

1

 

0.66%

 

Well and River

 

18

 

11.84%

 

Total

 

152

 

100.00%

Joint pains was the most common symptom experienced by most of the participants (N=119; 78.29%).7 people (4.6%) had bowed legs while 9 participants (6%) had skeletal deformities. More so, 26% of them had dental fluorosis. Part of the participants (40.79%) suffered from immobilization of joints while 1.32% presented with knocked knees. 23.68% of the participants had dental caries (Table 3).

Table 3: Clinical Features of Chronic Fluoride Toxicity Presented By the Participants

Variables

Frequency (n)

Percentage (%)

Dental Flourosis

39

25.66%

Dental Caries

36

23.68%

Skeletal Deformities

9

5.92%

Bowed Legs

7

4.61%

Knocked Knees

2

1.32%

Joint Pains

119

78.29%

Immobilization of Joints

62

40.79%

The proportion of participants drinking milk on a daily basis was 29.61% (n=45). 70.4% of the participants did not consume milk at all (Table 4).

Table 4: Milk Consumption by Participants

Milk Consumption

Frequency(n)

Percentage (%)

No

107

70.39%

Yes

45

29.61%

Total

152

100%

Mean Concentration and Standard Deviation of Fluoride Concentration in Water

Q1: 1st quartile, Q3:3rd quartile

The mean concentration of fluoride ions in all the water samples was 1.30 ±1.68 mg/l ranging from 0.04-5.75 mg/l with median 0.05mg/l and mode 0.05mg/l.

The mean concentration in wells was 1.64mg/l while that of bore holes was 1.02mg/l. Both are superior to national norm of 0.7mg/l but only the concentration of fluoride in wells was superior to the WHO norm of fluoride water levels (Table 5).

Table 5: Mean and SD of Fluoride Concentration in Water

Mean

Standard deviation

Coefficient of variation

(%)

Minimum

Q1

Median

Q3

Maximum

Mode

1.30

1.68

124.15

0.04

0.05

0.275

2.15

5.75

0.05

COMPARISON OF CONCENTRATIONS OF FLUORIDE IONS IN WATER TO NATIONAL NORMS VALUE.

From the concentrations obtained, 17(56.66%) samples of water had concentrations inferior to the national norm value of 0.7mg/l, 13(43.33%) were superior. Majority of samples in Meri (80%) and Mikiri (100%) had concentrations above the national norm of 0.7mg/l (Table 6).

Table 6: Proportions of Levels Fluoride Concentration in Water per Village Compared to National Norm

Village

National Norm(0.7mg/l) of Fluoride in Water

 

<0.7mg/L

>0.7mg/L

Total

Baouli

1 (100%)

0 (0.00%)

1 (100%)

Douvangar

7 (53.85%)

6 (46.15%)

13 (100%)

Gouzoulam

1 (50%)

1 (50%)

2 (100%)

Guinlaye

1 (100%)

0 (0.00%)

1 (100%)

Meri

1 (20.00%)

4 (80.00%)

5 (100%)

Mikiri

0 (0.00%)

1 (100%)

1 (100%)

Tchere

6 (85.71%)

1 (14.29%)

7 (100%)

Total

17(56.66%)

13(43.33%)

30(100%)

COMPARISON OF CONCENTRATIONS OF FLUORIDE IONS IN WATER TO WHO NORMS VALUE

From the concentrations obtained, 21(70%) samples of water had concentrations of fluoride in water inferior to the WHO norm value of 1.5mg/l, 9(30%) were superior. Majority of samples in Meri (80%) had concentrations of fluoride in water superior to the WHO norm value of 1.5mg/l norm (Table 7).

Table 7: Proportions of Levels Fluoride Concentration in Water per Village Compared to WHO Norms

Village

WHO Norms (1.5mg/l) of Fluoride In Water

 

<1.5mg/L

>1.5mg/L

Total

Baouli

1 (100%)

0 (0,00%)

1 (100%)

 

Douvangar

 

9 (69.23%)

 

4 (30.77%)

 

13 (100%)

Gouzoulam

2 (100%)

0 (0.00%)

2 (100%)

Guinlaye

1 (100%)

0 (0.00%)

1 (100%)

 

Meri

 

1 (20.00%)

 

4 (80.00%)

 

5 (100%)

 

Mikiri

 

1 (100%)

 

0 (0.00%)

 

1 (100%)

 

Tchere

 

6 (85.71%)

 

1 (14.29%)

 

7 (100%)

 

Total

 

21(70%)

 

9(30%)

 

30(100%)

VARIATION OF FLUORIDE IN URINE SAMPLE WITH AGE.

Figure 2 shows that the presence of fluoride in urine is not linked to age and was unevenly distributed among all ages.

Figure 2: Distribution curve of fluoride in urine samples against age.

Variation of Fluoride in Urine Sample with Sex.

Fluoride in urine samples of our participants was unevenly distributed among all sexes. The absence of fluoride in urine was the same for all sexes but majority of those who had fluoride in their urine were males (71 Percent). So Figure 3 shows that fluoride is more present in males than in females.

Figure 3: Distribution of fluoride in urine samples in the two sexes.

Distribution of Fluoride Ions in Urine samples.

From the dosage of fluoride ions in urine of participants, 10.53% did not have fluoride in their urine while 89.47% had fluoride in their urine samples. All participants in Gouzoulam (100%) had fluoride in their urine. More than 70% of participants in each village had fluoride in their urine (Table 8).

Table 8: Distribution of Fluoride Ions in Urine samples, N=152

Village

Presence

 

N (%)

Absence

 

N (%)

 

Total

Baouli

50 (94.34%)

3 (5.66%)

53 (100%)

Douvangar

8 (88.89%)

1 (11.11%)

9 (100%)

Gouzoulam

14 (100%)

0 (0.00%)

14 (100%)

Guinlaye

23 (82.14%)

5 (17.86%)

28 (100%)

Meri

8 (72.73%)

3 (27.27%)

11 (100%)

Mikiri

19 (95%)

1 (5%)

20 (100%)

Tchere

14 (82.35%)

3 (17.65%)

17 (100%)

Total

136(89.47%)

16(10.53%)

152(100%)

MEAN CONCENTRATION AND STANDARD DEVIATION OF FLUORIDE IN URINE

Q1: 1st quartile, Q3:3rd quartile

The mean concentration of fluoride ions in urine was 2.89 ±2.87 mg/l ranging from 0.05-14.35 mg/l with median 2.2mg/l and mode 0.05mg/l (Table 9).

Table 9: Representation of Mean and Range of Fluoride Concentration in Urine Samples

 

Mean

Standard deviation

Coefficient

of variation (%)

 

Minimum

 

Q1

 

Min

 

Q3

 

Max

 

Mode

2.89

2.87

99.32

0.05

0.75

2.2

3.85

14.35

0.05

DISCUSSION

Fluorine poisoning is a public health issue in the world and also has an impact in Cameroon, more precisely in the Far North region [12]. There is paucity of data on its impact on calcium levels implicated in both dental and bone health as in the case of our study. Hence, the aim of our study was to assess the impact of chronic fluorosis on the levels of calcium and alkaline phosphatases at the Diamaré division .This will help us provide a global approach to improve their health and lifestyle.

Socio-Demographic Characteristics

Our study population included adults of 20-90 years. The mean age in our study was 48.7 years. Similar findings was seen in Canada with a mean age of 46.49 years [14-17]. However, a lower mean age of 39.8 years was found in a study by Eklund et al [18]. This difference could be explained by the study population where only women were included while we recruited both males and females. Majority of our participants were males (N=105; 69.1%). However, another study had more women than men (sex ratio=1.04) [19].This difference is because most women were resilient to participate and most of them remained indoors in our study.

Various Sources of Water and Their Uses by the Inhabitants

Boreholes, wells and a river were identified as water sources in our study. Similar findings were reported in a study done in Tanzania having bore holes, well, river as well as pipe water as sources [9]. The most used water source in our study was boreholes probably because of the recent increasing number of boreholes construction through water management projects. This is also due to the fact that bore hole water is more potable than the other sources used in the village. In contrast, the most used source in another study was wells because of partial access to other sources [9].

Clinical features of chronic fluorosis presented by the participants

Most of our participants (78%) experienced severe joint pains as a clinical feature of chronic fluorosis. This could be explained by the fact that fluorine poisoning is known to cause joint pains, skeletal deformities, mottling of teeth and immobilisation of joints as a result of disorders of calcium/phosphorus metabolism occurring during growth [20].

THE CONCENTRATION OF FLUORIDE IONS IN WATER AND URINE, AND THE CONCENTRATION OF CALCIUM AND ALKALINE PHOSPHATASES IN BLOOD.

Concentration of fluoride obtained in water sources

The mean concentration of fluoride obtained in water sources was 1.3mg/l with the highest concentration of 5.75mg/l obtained from a well (P13) in Douvangar. The mean concentration in wells was 1.64mg/l and that of boreholes was 1.02mg/l. This shows that there is more fluoride at the surface than in deeper levels since bore holes are deeper but does not exclude the fact that it is still high in boreholes. The fact that majority use water from boreholes in search of potable water is a matter of concern. However, a higher mean concentration of 2.22mg/l was seen in a study in India [13]. This is due to the difference in the rock types bearing different quantities of fluoride-bearing minerals. 30% of our samples exceeded the WHO norm of fluoride levels which is similar to the study done by Fantong et al., at the Mayo Tsanaga river basin which was 26.7% above the WHO limit of 1.5 mg/l [11]. Geological sources and fertilizers used in agriculture can be the possible contributors of fluoride in groundwater in our study whereas. Industrial input was absent due to lack of industries in our area of study.

Concentration of fluoride in urine

The mean concentration of fluoride in urine obtained was 2.89 ±2.87 mg/l ranging from 0.05-14.35mg/l. The presence of fluorine in our samples of urine reflects the fluorine exposure of our participants in our area of study. The quantity of water we take in depends on the atmospheric temperature; so extremely hot conditions present in our study area make the inhabitants consume more water and thus accumulate fluoride more than the normal range in the body. In 2016, Carmen et al reported a mean concentration of 1.27 ± 1.2 mg/l [21] lower than what we obtained. This is because of the difference in the study population, which included only children. Fluoride excretion rate is considerably lower in children than adults [22].

CONCLUSION

Our participants used water from boreholes, wells and river for consumption and household activities. They used water mostly from bore holes. Some used water from one source while others used water from two or more sources. Thus, they used underground water for all their different activities where water is implicated.

Our participants presented clinical features of chronic fluorine poisoning with joint pains being the most experienced symptom by majority of the participants. These clinical symptoms, precisely skeletal deformities and immobilisation of joints were exacerbated by a lack of milk consumption due to poor diet. Thus, troubles linked to bone metabolism are frequent in this population.

The different water sources identified in our study are contaminated with fluoride with many sources having concentrations of fluoride superior to the safe limits of national and international norms. Fluoride has been found to be eliminated in urine by the entire population. The levels of fluoride in urine increased with age and eliminated more in men than women. The levels of calcium and ALP showed majority of them being hypocalceamic and having high ALP levels.

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Assessing Environmental and Pharmaceutical Vulnerability Using NDVI: A Case Study of the EF-3 Tornado in Rocky Mount, North Carolina

On July 19, 2023, an EF-3 tornado struck Rocky Mount, North Carolina, severely impacting the environment and damaging Pfizer’s pharmaceutical facility. This project uses the Normalized Difference Vegetation Index (NDVI) to analyze environmental vulnerability before and after the tornado. Landsat 8 satellite imagery was used to compare NDVI data from two weeks before and four weeks after the event. Using ArcGIS, zonal statistics and raster analysis identified areas of significant vegetation loss across urban, forested, and agricultural zones along the 16-mile tornado path. Results revealed notable decreases in NDVI values, indicating widespread loss of vegetation and soil disruption. Damage to the Pfizer plant, which produces about 25% of U.S.hospital-injectable medicines, emphasized the tornado’s critical pharmaceutical impact. This study demonstrates how geospatial science tools like NDVI can assess environmental vulnerability and disaster impact, helping guide future planning, emergency response, and infrastructure resilience in a changing climate.

Keywords: EF-3 Tornado; Environmental Impact; Geospatial Analysis; Disaster Resilience; Vegetation change.

Logan McNeil, Daniel Chu and Rajendra Nath Dasari*


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Evaluating Changes in Contaminants of Emerging Concern in Municipal Wastewater Effluents Following Treatment Plant Upgrades

Contaminants of emerging concern (CEC) are known to affect aquatic organisms downstream of wastewater treatment plant effluent discharges. Studies in the Grand River watershed on the small-bodied, benthic rainbow darter (Etheostoma caeruleum) have shown altered gene expression, sex steroid levels, gonad size and expression of intersex (testis-ova) associated with wastewater outfalls. Due to these observed biological impacts, over $450M has been spent by the municipal government to upgrade the two major wastewater treatment plants (WWTP) within the Grand River watershed (Waterloo, Kitchener). In this study we monitored process upgrades at each of the WWTPs between 2010 to 2019 for a suite of chemicals including nutrients, CECs, hormones and total estrogenicity. Effluent samples for select CECs and total estrogenicity were analyzed by LC-MS/MS and yeast estrogen screen (YES) assay, respectively. Estrogenicity of the effluent declined rapidly after upgrades were completed. The removal of key CECs varied depending on their physiochemical properties. Although treatment process upgrades lead to greatly reduced environmental exposure to many CECs such as naproxen, some remain at relatively high concentrations (i. e. carbamazepine) that may continue to represent a risk to the environment.

Nivetha Srikanthan1 , Azar Fattahi1*, E. Katie McCann1 , Leslie M. Bragg1 , Hadi Dhiyebi1 , Diana M. Cardenas-Soraca1 , Pam Law2 , Dominika Celmer-Repin2 , Sonya Kleywegt3 , Wayne J. Parker1 and Mark R. Servos1


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Disastrous Effects of Hurricane Helene in the Southern Appalachian Mountains Including a Review of Mechanisms Producing Extreme Rainfall

Hurricane Helene made landfall near Perry (Latitude 30.1N) in the Big Bend area of Florida with a central pressure of 939hPa. It moved northwards creating devastating damage and loss of life; however, the greatest damage and number of fatalities occurred well to the north around the City of Ashville (Latitude 35.6N) where extreme rainfall fell and some of the strongest wind gusts were reported [1-3]. This paper describes the change in the hurricane’s structure as it tracked northwards, how it gathered tropical moisture from the Atlantic and a turning wind profile between the 850hPa and 500hPa elevations which led to such extreme rainfall. This turning wind profile is shown to be associated with extreme rainfall and loss of life from drowning and landslides around the globe. The area around Ashville suffered 157 fatalities which is a significant proportion of the 250 fatalities so far recorded in the whole United Stares from Helene. This is of extreme concern and should be investigated in detail as the public generally expect the greatest impact from hurricanes to be confined to coastal areas near the landfall site. It is another example of increased death tolls from tropical cyclones moving inland and generating heavy rainfall. As the global population increases and inland centres become more urbanised, run off from such rainfall increases which causes greater devastation.

Jeff Callaghan*


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Commentary Pathways and Therapeutic Targets of Ozone induced Lung Disease

Chronic exposure to ambient Ozone (O3) air pollution induces respiratory inflammation and hyperreactivity, emphysema and interstitial lung fibrosis. O3-induced oxidative stress causes epithelial barrier injury and cell death activating Toll-like receptors, DNA sensing pathways and inflammasomes with production of a range of inflammatory chemokines with a mixed phenotype of COPD and asthma. O3 exposure is often associated with other pollutants causing exacerbation leading to severe respiratory disease. Here, we review mechanisms and therapeutic targets to control O3-induced COPD-like disease.

Remo C. Russo1 and Bernhard Ryffel2,3*


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Heavy Metal Contamination in Seawater in Darsait, Azaibah and Seeb in Oman: An Assessment of Environmental Pollution

This study investigates heavy metal contamination in seawater and sediments in three coastal regions of Oman – Darsait, Azaibah and Seeb. In 2022, sample collections were made in subtidal ecosystems in these three areas, and the samples were analysed to assess the potential environmental impacts of treated wastewater. The study employed a comprehensive sampling strategy adhering to the Oman Environmental Impact Assessment (EIA) Guidelines to evaluate key parameters such as temperature, salinity, dissolved oxygen, and heavy metal concentrations see Appendix 1. Results indicate that the levels of most heavy metals contamination had not changed significantly since the baseline surveys in 2009 and 2012, but that some levels were still above EIA guidelines. Recommendations are made to reduce these levels, ensuring the protection of marine environments and humans while supporting industrial growth. This research contributes to our understanding of anthropogenic impacts on marine ecosystems in Oman and highlights the importance of regular monitoring and adaptive management practices.

Amran Al Kamzari1*, Sulaiman Al Shehhi1, Mohammed Al Kalbani1 and Tim Gray2


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Detecting Sources of Drinking Water Contamination Originated by Wildfires

The paper introduces a machine learning method of detecting multiple sources of water contamination caused by wildfire. The method includes changing the water flow regime, monitoring the time series of the contaminant concentration caused by regime changes, and associating the signature of the contaminant changes over time with sources locations. The contaminant signature from multiple sources starting at the moment of changing water velocity are defined by extending the approach for one contamination source. The intensity, location of each source, and diffusion coefficient are defined to satisfy the minimum square between monitoring and theoretical concentrations. The equations derived from the criteria of the best fit between experimental and modeling data are solved using the theory of hypernumbers. The initial values for hypernumber solutions are computed using the transient process of contaminant transport curve analysis. The defined in this paper algorithm can by used for detecting location of the arbitrary impurity in water network system.

Arkadiy Dantsker1*, Oscar Zhuk1 and Jane Brito1