Potential arsenic contamination in drinking water sources of Tanzania and its link with local geology

Julian Ijumulana, F. Mtalo, Prosun Bhattacharya
{"title":"Potential arsenic contamination in drinking water sources of Tanzania and its link with local geology","authors":"Julian Ijumulana, F. Mtalo, Prosun Bhattacharya","doi":"10.1201/9781351046633-24","DOIUrl":null,"url":null,"abstract":"Recent studies on arsenic (As) occurrence particularly in African waters show that several sources of drinking water have elevated concentrations above national and international guidelines. In Tanzania, elevated concentrations of As above WHO guideline (10 μg/L) in Lake Victoria Gold fields is emerging as a threat to public health depending on groundwater and surface water as drinking water sources. In this study, spatial statistics and GIS tools have been used to delineate the relationship between As occurrence and local geological settings. Among the 12 mapped local geological units, the most targeted aquifers for potable water are characterized by granitoids, migmatite, mafic and ultramafic meta-sediments (~50% of water points). The probability of having As levels above WHO guideline was 0.71 and 0.33 for surface water and groundwater systems respectively. 2.3 Water sampling and laboratory analysis Water sampling was carried out at the end of dry season during October 2016. A total of 29 water samples were collected, of which 18 samples were taken from groundwater sources and 11 samples from surface water sources were collected (Fig. 1). The physio-chemical parameters such as, pH, temperature (T), electrical conductivity (EC), redox potential (Eh) and elevation (H) were measured in the field. Major anions were analyzed by ion chromatography (IC Dionex DX-120) in the Land and Water Resources Engineering laboratory at KTH Royal Institute of Technology. Major cations were determined by inductively coupled plasma-optical emission spectrometry (ICP-OES) at Linköping University in the Department of Thematic Studies. 2.4 Creation of spatial database and data analysis ArcGIS software was used to create spatial database comprising the location and description of each water sample, physio-chemical parameters and major ions and As. The data analysis part involved calculating and mapping of summary statistics, i.e. minimum, maximum, average and standard deviation. 3 RESULTS AND DISCUSSION 3.1 Spatial exploration of water quality parameters with local geological settings The collected water samples were from abstraction points targeting aquifers with following sediment types: i) predominantly alluvial and eluvial sediments (aQ) with slightly alkaline pH (7.4) and high Eh (mean +416 mV); ii) migmatite-granitoid-metasediment complex (miNA) with neutral pH (7.0) and higher Eh (356.4 mV mean); and iii) volcanosedimentary complex-Greenstone Belt with banded iron formation (BIF) with approximately neutral pH (6.9). The higher EC values between 715 and 843 μS/cm indicate that aquifer sediments originate from the parent rocks in Tanzanian Craton. Similarly, the higher mean Eh values between 356-416 mV suggest an oxidizing environment in all geologic units. 3.2 Probability of occurrence of arsenic contamination in groundwater The probability of having contaminated aquifers was calculated based on number of samples with arsenic concentrations exceeding WHO guideline value constrained by local geologic units. Figure 2 shows a probability map of potential arsenic contaminated aquifers. The most probable aquifers with As levels exceeding 10 μg/L are found in the lithologic groups aQ and gsNA rocks/sediments (50-90%). Aquifers in the migmatite-granitoid-meta-sediment complex (miNA) indicate comparatively less likelihood of elevated levels of As in well water. However, this is just a preliminary observation based on the small sample size, and work is currently in progress to link the overall hydrogeochemical characteristics, such as major ions, As and other trace elements with the mapped geological units. Figure 2: Probability map of arsenic contaminated drinking water sources in Lake Victoria Gold Fields in Mara region. 4 CONCLUSIONS AND RECOMMENDATIONS Arsenic contamination in Lake Victoria Basin is a really problem in drinking water sources. The most targeted aquifers composed of migmatite-granitoidmetasediment complex and metasediments seem to have high levels of arsenic exceeding WHO guideline. The drilling practice during potable water supply should consider the type of geological units and sediments to avoid continual exposure to arsenic toxicity among Lake Victoria Basin communities. The behaviour of excess arsenic needs to be investigated with respect to seasonal variations and depth.","PeriodicalId":347244,"journal":{"name":"Environmental Arsenic in a Changing World","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Arsenic in a Changing World","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781351046633-24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Recent studies on arsenic (As) occurrence particularly in African waters show that several sources of drinking water have elevated concentrations above national and international guidelines. In Tanzania, elevated concentrations of As above WHO guideline (10 μg/L) in Lake Victoria Gold fields is emerging as a threat to public health depending on groundwater and surface water as drinking water sources. In this study, spatial statistics and GIS tools have been used to delineate the relationship between As occurrence and local geological settings. Among the 12 mapped local geological units, the most targeted aquifers for potable water are characterized by granitoids, migmatite, mafic and ultramafic meta-sediments (~50% of water points). The probability of having As levels above WHO guideline was 0.71 and 0.33 for surface water and groundwater systems respectively. 2.3 Water sampling and laboratory analysis Water sampling was carried out at the end of dry season during October 2016. A total of 29 water samples were collected, of which 18 samples were taken from groundwater sources and 11 samples from surface water sources were collected (Fig. 1). The physio-chemical parameters such as, pH, temperature (T), electrical conductivity (EC), redox potential (Eh) and elevation (H) were measured in the field. Major anions were analyzed by ion chromatography (IC Dionex DX-120) in the Land and Water Resources Engineering laboratory at KTH Royal Institute of Technology. Major cations were determined by inductively coupled plasma-optical emission spectrometry (ICP-OES) at Linköping University in the Department of Thematic Studies. 2.4 Creation of spatial database and data analysis ArcGIS software was used to create spatial database comprising the location and description of each water sample, physio-chemical parameters and major ions and As. The data analysis part involved calculating and mapping of summary statistics, i.e. minimum, maximum, average and standard deviation. 3 RESULTS AND DISCUSSION 3.1 Spatial exploration of water quality parameters with local geological settings The collected water samples were from abstraction points targeting aquifers with following sediment types: i) predominantly alluvial and eluvial sediments (aQ) with slightly alkaline pH (7.4) and high Eh (mean +416 mV); ii) migmatite-granitoid-metasediment complex (miNA) with neutral pH (7.0) and higher Eh (356.4 mV mean); and iii) volcanosedimentary complex-Greenstone Belt with banded iron formation (BIF) with approximately neutral pH (6.9). The higher EC values between 715 and 843 μS/cm indicate that aquifer sediments originate from the parent rocks in Tanzanian Craton. Similarly, the higher mean Eh values between 356-416 mV suggest an oxidizing environment in all geologic units. 3.2 Probability of occurrence of arsenic contamination in groundwater The probability of having contaminated aquifers was calculated based on number of samples with arsenic concentrations exceeding WHO guideline value constrained by local geologic units. Figure 2 shows a probability map of potential arsenic contaminated aquifers. The most probable aquifers with As levels exceeding 10 μg/L are found in the lithologic groups aQ and gsNA rocks/sediments (50-90%). Aquifers in the migmatite-granitoid-meta-sediment complex (miNA) indicate comparatively less likelihood of elevated levels of As in well water. However, this is just a preliminary observation based on the small sample size, and work is currently in progress to link the overall hydrogeochemical characteristics, such as major ions, As and other trace elements with the mapped geological units. Figure 2: Probability map of arsenic contaminated drinking water sources in Lake Victoria Gold Fields in Mara region. 4 CONCLUSIONS AND RECOMMENDATIONS Arsenic contamination in Lake Victoria Basin is a really problem in drinking water sources. The most targeted aquifers composed of migmatite-granitoidmetasediment complex and metasediments seem to have high levels of arsenic exceeding WHO guideline. The drilling practice during potable water supply should consider the type of geological units and sediments to avoid continual exposure to arsenic toxicity among Lake Victoria Basin communities. The behaviour of excess arsenic needs to be investigated with respect to seasonal variations and depth.
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坦桑尼亚饮用水源中潜在的砷污染及其与当地地质的关系
最近关于砷(As)发生情况的研究,特别是在非洲水域的研究表明,一些饮用水源的浓度高于国家和国际准则。在坦桑尼亚,维多利亚湖金矿的砷浓度高于世卫组织准则(10 μg/L),正在对依赖地下水和地表水作为饮用水源的公众健康构成威胁。在这项研究中,空间统计和地理信息系统工具被用来描述砷的发生与当地地质环境之间的关系。在绘制的12个局部地质单元中,饮用水的目标含水层以花岗岩类、混辉岩、基性和超基性元沉积物(约占水点的50%)为特征。地表水和地下水系统的砷含量高于世卫组织准则的概率分别为0.71和0.33。2.3取水及实验室分析取水时间为2016年10月旱季末。共采集了29个水样,其中地下水18个,地表水11个(图1)。现场测量了pH、温度(T)、电导率(EC)、氧化还原电位(Eh)、高程(H)等理化参数。主要阴离子在KTH皇家理工学院国土与水资源工程实验室用离子色谱法(IC Dionex DX-120)进行分析。2.4空间数据库的建立和数据分析利用ArcGIS软件建立空间数据库,包括每个水样的位置和描述、理化参数、主要离子和As。数据分析部分涉及汇总统计量的计算和映射,即最小值、最大值、平均值和标准差。3.1局部地质环境下水质参数的空间探索所采集的水样来自以下沉积物类型的含水层:1)以冲积和淋积沉积物(aQ)为主,pH值为7.4,Eh值高(平均+416 mV);ii)混合岩-花岗岩-沉积复合体(miNA), pH值为7.0,Eh值较高(平均356.4 mV);火山-沉积杂岩-绿岩带带状铁(BIF), pH值约为中性(6.9)。EC值在715 ~ 843 μS/cm之间,表明含水层沉积物来源于坦桑尼亚克拉通母岩。同样,在356-416 mV之间较高的平均Eh值表明在所有地质单元中都存在氧化环境。3.2地下水砷污染发生的概率在当地地质单位的约束下,根据砷浓度超过WHO指导值的样本数计算含水层受污染的概率。图2显示了潜在砷污染含水层的概率图。砷含量超过10 μg/L的含水层最可能出现在aQ和gsNA岩性组的岩石/沉积物中(50-90%)。混杂岩-花岗岩-元沉积物复合体(miNA)的含水层表明井水中砷含量升高的可能性相对较小。然而,这只是基于小样本量的初步观察,目前正在进行将主要离子、as等微量元素等整体水文地球化学特征与绘制的地质单元联系起来的工作。图2马拉地区维多利亚湖金矿饮用水源砷污染概率图。结论和建议维多利亚湖流域饮用水源砷污染问题严重。由混杂岩-花岗岩-交代沉积物复合体和交代沉积物组成的最受关注的含水层的砷含量似乎超过了世卫组织的指导标准。在饮用水供应过程中,钻井作业应考虑地质单元和沉积物的类型,以避免维多利亚湖盆地社区持续暴露于砷毒性。过量砷的行为需要根据季节变化和深度进行调查。
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