{"title":"多重生态风险指数在尼日利亚阿布贾主要机械村土壤重金属污染评价中的应用","authors":"C. Ekeocha, C. Ogukwe, Joy Nikoro","doi":"10.9734/BJAST/2017/30779","DOIUrl":null,"url":null,"abstract":"Heavy metal contamination has become a serious environmental problem due to their negative effects on humans, organisms, soil quality, underground water and ecosystem. This research was targeted at the use of multiple ecological risk indices approach in assessing the ecological risk associated with heavy metal contamination in soils in some mechanic villages in Abuja, central Nigeria. To achieve this set objective, four pollution indices models namely: contamination factor (C f ), ecological risk factor (E r ), degree of contamination (C D ) and potential ecological risk index (PERI) were explored. Fifteen soil samples were randomly collected with a hand dug auger to a depth range of 0-15 cm with five sample points from each of the three investigated mechanic villages. A control sample was also collected from a distance of 100 km where neither commercial nor industrial activities take place. The sampled soils were further subjected to standard chemical analysis. The automated Atomic Absorption Spectrophotometer (AAS) was used for this purpose. The results of the chemical analysis revealed that concentrations of heavy metals in Apo, Kugbo and Zuba mechanic villages followed a trend of Cu > Zn > Cr > Fe > Pb > Ni > Cd; Zn > Cu > Cr > Ni > Fe > Pb > Cd and Zn > Cr > Cu > Fe > Pb > Ni > Cd respectively. The multiple ecological risk indices models explored in the study showed various ecological risk level associated with heavy metal contamination of soils from the investigated sites with classes ranging from low to very high ecological risks. This could be traceable to anthropogenic activities like indiscriminate discharge of heavy metal containing waste in soil and poor waste management practice in the mechanic villages. This calls for urgent measure in curtailing indiscriminate waste discharge and the introduction of environmental friendly waste management in the mechanic villages so as to avert epidemics and environmental degradation due to heavy metal pollution.","PeriodicalId":91221,"journal":{"name":"British journal of applied science & technology","volume":" ","pages":"1-10"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application of Multiple Ecological Risk Indices for the Assessment of Heavy Metal Pollution in Soils in Major Mechanic Villages in Abuja, Nigeria\",\"authors\":\"C. Ekeocha, C. Ogukwe, Joy Nikoro\",\"doi\":\"10.9734/BJAST/2017/30779\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heavy metal contamination has become a serious environmental problem due to their negative effects on humans, organisms, soil quality, underground water and ecosystem. This research was targeted at the use of multiple ecological risk indices approach in assessing the ecological risk associated with heavy metal contamination in soils in some mechanic villages in Abuja, central Nigeria. To achieve this set objective, four pollution indices models namely: contamination factor (C f ), ecological risk factor (E r ), degree of contamination (C D ) and potential ecological risk index (PERI) were explored. Fifteen soil samples were randomly collected with a hand dug auger to a depth range of 0-15 cm with five sample points from each of the three investigated mechanic villages. A control sample was also collected from a distance of 100 km where neither commercial nor industrial activities take place. The sampled soils were further subjected to standard chemical analysis. The automated Atomic Absorption Spectrophotometer (AAS) was used for this purpose. The results of the chemical analysis revealed that concentrations of heavy metals in Apo, Kugbo and Zuba mechanic villages followed a trend of Cu > Zn > Cr > Fe > Pb > Ni > Cd; Zn > Cu > Cr > Ni > Fe > Pb > Cd and Zn > Cr > Cu > Fe > Pb > Ni > Cd respectively. The multiple ecological risk indices models explored in the study showed various ecological risk level associated with heavy metal contamination of soils from the investigated sites with classes ranging from low to very high ecological risks. This could be traceable to anthropogenic activities like indiscriminate discharge of heavy metal containing waste in soil and poor waste management practice in the mechanic villages. This calls for urgent measure in curtailing indiscriminate waste discharge and the introduction of environmental friendly waste management in the mechanic villages so as to avert epidemics and environmental degradation due to heavy metal pollution.\",\"PeriodicalId\":91221,\"journal\":{\"name\":\"British journal of applied science & technology\",\"volume\":\" \",\"pages\":\"1-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British journal of applied science & technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/BJAST/2017/30779\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British journal of applied science & technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/BJAST/2017/30779","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
重金属污染对人类、生物、土壤质量、地下水和生态系统的负面影响已成为一个严重的环境问题。本研究旨在利用多重生态风险指数方法评估尼日利亚中部阿布贾一些机械村土壤重金属污染的生态风险。为了实现这一既定目标,研究了四种污染指数模型,即污染因子(C f)、生态风险因子(E r)、污染程度(C D)和潜在生态风险指数(PERI)。用手挖螺旋钻随机采集15个土壤样本,深度0 ~ 15 cm,在调查的3个机械村各取5个采样点。对照样本也从100公里以外既没有商业活动也没有工业活动的地方收集。采样土壤进一步进行标准化学分析。采用自动原子吸收分光光度计(AAS)测定。化学分析结果表明,Apo、Kugbo和Zuba机械村重金属浓度呈现Cu b> Zn b> Cr b> Fe b> Pb > Ni > Cd的趋势;Zn > Cu > Cr > Ni > Fe > Pb > Cd和Zn > Cr > Cu > Fe > Pb > Ni > Cd。研究建立的多重生态风险指数模型显示了调查点土壤重金属污染的不同生态风险等级,生态风险等级从低到极高。这可以追溯到人为活动,如在土壤中随意排放含有重金属的废物,以及机械村的废物管理不善。这就要求采取紧急措施,减少随意排放废物,并在技工村实行环境友好型废物管理,以避免因重金属污染造成的流行病和环境退化。
Application of Multiple Ecological Risk Indices for the Assessment of Heavy Metal Pollution in Soils in Major Mechanic Villages in Abuja, Nigeria
Heavy metal contamination has become a serious environmental problem due to their negative effects on humans, organisms, soil quality, underground water and ecosystem. This research was targeted at the use of multiple ecological risk indices approach in assessing the ecological risk associated with heavy metal contamination in soils in some mechanic villages in Abuja, central Nigeria. To achieve this set objective, four pollution indices models namely: contamination factor (C f ), ecological risk factor (E r ), degree of contamination (C D ) and potential ecological risk index (PERI) were explored. Fifteen soil samples were randomly collected with a hand dug auger to a depth range of 0-15 cm with five sample points from each of the three investigated mechanic villages. A control sample was also collected from a distance of 100 km where neither commercial nor industrial activities take place. The sampled soils were further subjected to standard chemical analysis. The automated Atomic Absorption Spectrophotometer (AAS) was used for this purpose. The results of the chemical analysis revealed that concentrations of heavy metals in Apo, Kugbo and Zuba mechanic villages followed a trend of Cu > Zn > Cr > Fe > Pb > Ni > Cd; Zn > Cu > Cr > Ni > Fe > Pb > Cd and Zn > Cr > Cu > Fe > Pb > Ni > Cd respectively. The multiple ecological risk indices models explored in the study showed various ecological risk level associated with heavy metal contamination of soils from the investigated sites with classes ranging from low to very high ecological risks. This could be traceable to anthropogenic activities like indiscriminate discharge of heavy metal containing waste in soil and poor waste management practice in the mechanic villages. This calls for urgent measure in curtailing indiscriminate waste discharge and the introduction of environmental friendly waste management in the mechanic villages so as to avert epidemics and environmental degradation due to heavy metal pollution.