Journal of
Soil Science and Environmental Management

  • Abbreviation: J. Soil Sci. Environ. Manage.
  • Language: English
  • ISSN: 2141-2391
  • DOI: 10.5897/JSSEM
  • Start Year: 2010
  • Published Articles: 287

Full Length Research Paper

Spatial distribution of heavy metals in soil with distance from Tazama pipeline through the Mikumi National Park, Tanzania

Doreen Jeremiah Mrimi
  • Doreen Jeremiah Mrimi
  • Department of Conservation Biology Faculty of Biology, University of Dodoma (UDOM), Tanzania.
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Julius William Nyahongo
  • Julius William Nyahongo
  • Department of Conservation Biology Faculty of Biology, University of Dodoma (UDOM), Tanzania.
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Pål Olav Vedeld
  • Pål Olav Vedeld
  • Department of International Environment and Development studies, Faculty of Land and Society Norwegian University Life Sciences, (NMBU), Norway.
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Boniface Hussein Massawe
  • Boniface Hussein Massawe
  • Department of Soil and Geological Sciences, Faculty of Agriculture, Sokoine University of Agriculture (SUA), Tanzania.
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Charlotte Nakakaawa Jjunju
  • Charlotte Nakakaawa Jjunju
  • Department of Geography, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology (NTNU), Norway.
  • Google Scholar

  •  Received: 16 May 2019
  •  Accepted: 12 July 2019
  •  Published: 31 July 2019


A total concentration of six studied heavy metals Arsenic (As), Lead (Pb), Chromium(Cr), Mercury (Hg) Cadmium (Cd) and Copper (Cu) were measured in soil across distances from TAZAMA pipeline in transects which have incidences of oil spillage and those which have no history of oil spillage. All studied heavy metals were detected in the study area. As, Pb and Cr were detected in both transects, that is, with oils spills and those with no history of oil spillage to a distance of 0-35 m from the edge of the pipeline, with higher mean concentration in transects with oil spillage compared to those with none. From 50-200 m away from the pipeline these four metals were detected in transects with oil spillage only. Hg and Cd were detected in transects with history of oil spillage only.  Cu was detected in all transects and at all ranges of distance. Concentration of studied heavy metals decreased with increased distance from the edge of the pipeline in both transects to all directions. The decrease was statistically significant in transects with oil spillage and insignificant with transects of no history of oil spillage.

Key words: Soil contamination, pollution, oil spill effects, Mikumi National Park ecosystem, endangered species.



The global increase of oil need has resulted in exploration of new crude oil production sites and construction of new pipelines as a means of transportation. Pipelines are widely used due to their advantages like low cost, high efficiency and large volume of transportation (Saadi et al., 2018). Despite their advantages pipelines pose many challenges to the biotic and abiotic environment that they pass through.

Likewise, protected areas worldwide are under pressure of oil development.   More  than  25%  of  World  heritage sites are in the pressure of existing or future oil activities (Osti et al., 2011). Major challenges facing protected areas from oil pipelines are pollution and habitats destruction, raising a concern among biodiversity conservationists all over the world (Hebblewhite, 2017).

The Tanzania Zambia Mafuta (TAZAMA) pipeline started operation in 1968; by the year 1973 it had experienced 100 spills at different locations along its route (TAZAMA 2016). Oil spillage in the soil contributes to the addition of heavy metals, some of which are very hazardous to flora and fauna inhabiting a particular soil (Gordon et al., 2018). Moreover, oil pollutants present a major threat to many ecosystems (Xie et al., 2018). The effects of pollution are extended to many flora and fauna since some of oil pollutants including heavy metals can persist in soils for decades (Buskey et al., 2016; Pennings et al., 2014). Studies have documented effects of crude oil pipelines leakages on soil health and plants biological diversity (Allison et al., 2017; Asadirad et al., 2016; Oriaku et al., 2017). Crude oil spillage from pipelines is experienced along pipelines during times of construction, operation and maintenance (Vaezi and Verma, 2018).

Mikumi National Park is an important ecosystem as it shares boundary with Selous Game Reserve – a world heritage site. Crude oils contain hazardous pollutants including heavy metals and hydrocarbons. These pollutants are very toxic and are furthermore not easily degraded once in soil (Bai et al., 2019).

Despite the importance of the global ecosystem in Mikumi, the sensitivity of the general infrastructure element running through the area and the possible pollutants from oil, little is known about the amount of heavy metals that have been released to the environment and its spatial distribution in Mikumi National Park. Therefore, this study was conducted to examine the spatial distribution of heavy metals across the segment of the TAZAMA pipeline through the Mikumi National Park (MINAPA). Moreover, no Environmental Impact Assessment was conducted during the construction of the pipeline and hence no baseline information is available (TAZAMA, 2016). To cover that gap, the study involved a comparison between segments of the pipeline with history of and segments, which never experienced leakages. The following objectives were addressed during the study:

(i) What is the concentration of total heavy metals in soil in oil spilled compared to non-oil spilled segments of the pipeline?

(ii) Does the concentration of heavy metals in soil vary significantly with distance from the edge of the pipeline?



Study area

The study was conducted in Mikumi National Park, Tanzania across the segment of the TAZAMA pipeline. Five transects across the pipeline were studies, three with known history of oil spillage and two, which never experienced oil spills (Figure 1).



Soil sampling and heavy metals analysis

Transects were set at each site perpendicular to the pipeline. Soil was sampled at a distance of 0 m, 5, 20, 35, 50, 100 and 200 m away from the edge of the pipeline to the North and South. At distance of 0 m, soil samples were taken by auger to a depth of 80 cm in spilled transects and 60 cm in non-spilled transects. More depth was possible at 0 m on oil spilled transects because there were piles of soil above the general soil surface resulting from re-covering of the sites after addressing the spillage by the TAZAMA staff. At distances 5, 20 and 35 m from the pipeline soil profiles were excavated to a depth of 1.5 m or a limiting layer, total of 30 soil profiles were excavated. At 50 m, 100 m and 200 m soil samples were also taken by auger to a depth of 60 cm. Soil samples were taken from each designated horizon described using the FAO guidelines for soil profiles description (FAO 2006)(Figure 2).



Heavy metals checked were the ones, which reflect the chemistry of the oil through the TAZAMA pipeline. Six heavy metals were analysed from the soil samples including Hg, As, Pb, Cd, Cr and Cu. Total trace elements were extracted from soil by acid digestion Nitric/Perchloric acid 5:1 as described by Stewart et al. (1974). During digestion large amount of the sample was taken, that is 100 g of soil was mixed with 50 ml Nitric/Perchloric acid and digested using hot plate until the sample became colourless. After digestion the samples were filtered through suction pump and the leaching of minerals facilitated by adding 100 ml of dionazed water. The filtrate was collected in to 250 ml flask after which metals were concentrated by removing excess water using rota vapour at 60°C. The resulting concentrated solution of 10 ml was analysed for heavy metals. Metals’ concentration were done to offset the detection limits using AAS which is 0.01-0.001 depending on metal detection limits according to the calculation below.

The analysis of the levels of heavy metals was done at the University of Dar es Salaam Tanzania, using Perkin-Elmer 3100 Atomic Absorption Spectrophotometer. For each sampling point, samples were analysed in triplicates; therefore the values presented are the means of three samples.

Data analysis

Continuous vertical variability of heavy metals was modelled using equal area spline functions to get values for each soil depth (Bishop et al., 1999). Descriptive statistics were involved in calculating the mean and range of concentration of heavy metals. Linear regression analysis was involved in determination of the rate of change concentration of heavy metal along the distances from the edge of the pipeline.





Comparison between spilled and non-oil spilled transects

All  six  studied  heavy  metals were detected in the study area. As, Pb and Cr were detected in both transects, that is, with oils spills and those without history of oil spillage to a distance of 0-35 m from the edge of the pipeline, with higher mean concentration in transects with oil spillage compared to those without (Table 1). From 50-200 m away these four metals were detected in transects with oil spillage only. Hg and Cd were detected in transects, with history of oil spillage only. Cu was detected in all transects and at all ranges of distance. In the manner of abundance metals were Cu>Pb>Cr>As>Hg>Cd. Copper was the most abundant metal of all and Cadmium was the least found.



Variation of concentration of heavy metals with distance from the edge of the pipeline

Concentration of all detected heavy metals decreased with increased distance from the pipeline to both North and South direction. The rate of change of concentration of each metal per 1 m increases in distance, at each transects in both direction (Table 2). Rate of change of concentration was statistically significant in transects with oil spills for As, Pb and Cr; in transects with no oil spillage the change was not statistically significant. Hg and Cd decreased with increased distance but the increase is not statistically significant. Cu decreased with increased distance on both transects but the increase is not statistically significant (Table 4). Total concentration of all detected heavy metals were below those established by World Health Organisation WHO (Solek-Podwika et al., 2016) and Tanzania soil quality-limits for soil contaminants in habitat and agriculture (Tanzania Bureau of Standards, 2007) maximum permissible levels (Table 3).






Crude oils vary in their Chemistry hence their heavy metals contents vary from one to another. The oil transported through the TAZAMA pipeline is a murban crude oil, which is composed of gas oil and naphtha. Total heavy metals contained in the TAZAMA pipeline are Pb, As, Hg, Cr and Cu (TAZAMA, 2016). Therefore, these were the selected  metals  which  were  checked  in sampled soils. Transects with oil spillage had higher mean heavy metals concentrations compared to those without. This suggests crude oil from the pipelines contributes to the addition of concentration of heavy metals in soils (Fei et al., 2019). Total heavy metals concentration decreased with increased distance from the pipeline in both transects. This may be due to the increased distance from the source of pollution. Same findings were reported by Sun et al. (2019) when assessing the level, source and distribution of heavy metals from a typical coal industrial city of Tangshan China. The decrease of concentration of heavy metals in both transects suggests that the pipeline leads to the increase of heavy metals with and without oil spills. According to Jasper (2012), oil leakage happens in pipelines during their check-ups and maintenance. This can lead to the emission of heavy metals to the soil even when a recorded oil spillage has not occurred. Metals like Hg and Cd were only detected in transects with oil spillage. This  may  be  due to the fact that their presence is mainly attributed by anthropogenic sources particularly petroleum (Yadav et al., 2019). Fernández-Martínez et al. (2019) suggest that Hg total concentration in soils is mainly due to petroleum activities and mines than other anthropogenic activities. Higher concentration of heavy metals in transects with oil spillage than without may be due to presence of petroleum pollutants. Cu was detected in abundance in both transects; the rate of change of Cu was insignificant in all transects at all intervals. This may be due to the fact that it is an essential micronutrient in the soil. According to Chrysargyris et al. (2019), Cu is among the essential micronutrients though its availability in excessive levels may be harmful to the plants (Wyszkowski, 2019). The concentration of heavy metals in all transects were below the WHO and TZS maximum permissible limits in soils. Moreover, the TZS limits are too general and do not specify the kind of land use for a particular soil. However, more attention should be paid to the pipeline safety and maintenance since the concentration in transects with oil spillage is higher compared to the ones without.




The level of heavy metals concentration detected in all the transects is below the WHO and the Tanzania soil quality-limits for soil contaminants in habitat and agriculture (TZS) maximum permissible limits. However, the concentration is higher  in  transects with history of oil spillage compared to  those  without.  This calls  for  more attention since  prevention  of  heavy  metals  pollution  is currently a global agenda. For the Mikumi National Park in particular, more attention should be given for the TAZAMA pipeline since it is a home for various species of flora and fauna including the endangered and critically endangered species.



The authors have not declared any conflict of interests.



The researcher expresses her gratitude to the PELIBIGO Project under EnPe (Energy and Petroleum) Norway, for funding this study.



Allison C, Godwin O, Prince EN, Jamiu AS (2017). "Dealing with Oil Spill Scenarios in the Niger Delta: Lessons from the Past." In The Political Ecology of Oil and Gas Activities in the Nigerian Aquatic Ecosystem.


Asadirad MHA, Mazaheri MA, H Rashedi, Nejadsattari T (2016). "Effects of Indigenous Microbial Consortium in Crude Oil Degradation: A Microcosm Experiment." International Journal of Environmental Research 10(4):491-498.


Bai J, Guangliang Z, Qingqing Z, Qiongqiong L (2019). "Arsenic and Heavy Metals Pollution along a Salinity Gradient in Drained Coastal Wetland Soils: Depth Distributions, Sources and Toxic Risks." Ecological Indicators 69:331-339. 


Bishop TFA, McBratney AB, Laslett GM (1999). "Modelling Soil Attribute Depth Functions with Equal-Area Quadratic Smoothing Splines." Geoderma 91(1-2):27-45. 


Buskey EJ, White HK, Esbaugh AJ (2016). "Impact of Oil Spills on Marine Life in the Gulf of Mexico." Oceanography 29(3):174-181. 


Chrysargyris A, Eleftheria P, Spyridon AP, Nikolaos T (2019). "The Combined and Single Effect of Salinity and Copper Stress on Growth and Quality of Mentha Spicata Plants." Journal of Hazardous Materials 368(1):584-593. 


FAO (2006). "Soil Profile Description Guideline." 



Fei X, Christakos G, Reen Z (2019). "Improved Heavy Metal Mapping and Pollution Source Apportionment in Shanghai City Soils Using Auxiliary Information." Science of the Total Environment 661(12):168077. 


Fernández-Martínez R, Jose Ma, Pablo H, Isabel R (2019). "Comparison of Mercury Distribution and Mobility in Soils Affected by Anthropogenic Pollution around Chloralkali Plants and Ancient Mining Sites." Science of The Total Environment 671:1066-76. 


Gordon G, Ilan S, Uri S, Ravid R (2018). "Oil Spill Effects on Soil Hydrophobicity and Related Properties in a Hyper-Arid Region." Geoderma 312:114-120 


Hebblewhite M (2017). "Billion Dollar Boreal Woodland Caribou and the Biodiversity Impacts of the Global Oil and Gas Industry." Biological Conservation 206:102-111 


Jasper A (2012). "Oil/Gas Pipeline Leak Inspection and Repair in Underwater Poor Visibility Conditions: Challenges and Perspectives." Journal of Environmental Protection 3(5):394. 


Oriaku TO, Udo NA, Iwuala IS (2017). "Assessment of Oil Spill Occurrences in Sections of the Niger Delta Region: Causes, Effects and Remedial Actions." In Nigeria Annual International Conference and Exhibition 


Osti M, Lauren C, Joshua BF, Bastian B, Jonathan MH (2011). "Oil and Gas Development in the World Heritage and Wider Protected Area Network in Sub-Saharan Africa." Biodiversity and Conservation 19(1):2010. 


Pennings SC, Brittany DM, Linda HB (2014). "Effects of Oil Spills on Terrestrial Arthropods in Coastal Wetlands." BioScience64(9):789-795. 


Saadi FH, Nathan SL, Eric WM (2018). "Relative Costs of Transporting Electrical and Chemical Energy." Energy and Environmental Science 11(3):469-475. 


Sołek-Podwika K, Krystyna C, Dorota K (2016). "Assessment of the Risk of Pollution by Sulfur Compounds and Heavy Metals in Soils Located in the Proximity of a Disused for 20 Years Sulfur Mine (SE Poland)." Journal of Environmental Management 180:450-458. 


Sun L, Dengkui G, Ke L, Hui M (2019). "Levels, Sources, and Spatial Distribution of Heavy Metals in Soils from a Typical Coal Industrial City of Tangshan, China." Catena 75:101-109. 


Stewart EA, Grimshaw HM, John AP, Christopher Q (1974). "Chemical analysis of ecological materials" Journal of Chromatographic Science 16(6):14a. 10.1093/chromsci/16.6.14A-a


Tanzania Bureau of Standards (2007). "Tanzania Standards, Soil Quality - Limits for Soil Contaminants in Habitat and Agriculture (TZS 972:2007)." 3(5842).


TAZAMA (2016). "Brief Notes on Tazama Operations." 



Vaezi A, Manish V (2018). "Railroad Transportation of Crude Oil in Canada: Developing Long-Term Forecasts, and Evaluating the Impact of Proposed Pipeline Projects." Journal of Transport Geography 69(C): 98-111.


Wyszkowski M (2019). "Soil Contamination with Copper and Its Effect on Selected Soil Properties After Applying Neutralizing Substances." Polish Journal of Environmental Studies 28(4):2465-2471. 


Xie Y, Xiaowei Z, Jianghua Y, Seonjin Kim, Seongjin H, John PG, Un HY, Won JS, Hongxia Y, Jong SK (2018). "EDNA-Based Bioassessment of Coastal Sediments Impacted by an Oil Spill." Environmental Pollution 238:739-748. 


Yadav IC, Devi NL, Singh VK, Li J (2019). "Spatial Distribution, Source Analysis, and Health Risk Assessment of Heavy Metals Contamination in House Dust and Surface Soil from Four Major Cities of Nepal." Chemosphere 218(3):1100-1113.