Department of Civil Engineering, University of Nigeria, Nsukka, Enugu State, 410001, Nigeria.
Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa.
Environ Sci Pollut Res Int. 2021 Apr;28(15):19439-19457. doi: 10.1007/s11356-020-12265-y. Epub 2021 Jan 4.
Improper waste management has assumed a worrisome dimension in cities across many developing countries. One of its commonest features is open dumps. Open dumps in Enugu and Nsukka were investigated in this study. Waste samples were collected from ten dumps located in low-income, low-to-middle income, and high-income zones of the study area. The composition of waste was determined following standard methods and results obtained subjected to statistical analyses. Selected open dumps were subjected to detailed inspection in order to identify possible environmental impacts. Soil samples were also collected from the top soil and subsoil (15 cm) of selected dumps and analyzed for As, Cd, Cr, Cu, Hg, Mn, Pb, Ni, Cd, and Zn. The sources of contamination were determined using the principal component analysis (PCA) and cluster analysis (CA). Results of heavy metal analyses were used to determine extent of soil pollution. Food waste ranged from 29.6 to 56.5% with an average of 42.2%. Analysis along income line showed a decline in the proportion of food and rubber waste from lower to high income. The order of heavy metals concentration in waste dump soils investigated was as follows: Mn > Zn > Cu > Cr > Pb > As > Ni > Cd > Hg. The pollution indices (PI) of the dumpsites ranged from 1.87 for Ni to 1634.6 for Cu in the topsoil, and 0.62 for Ni to 1354.74 for Cu in the subsoil, indicating a severe level of pollution. Pollution load index (PLI) ranged from 25.38 to 75.07 with a mean of 60.75 for the dump surface and from 51.46 to 21.7 with a mean of 33.86 below the dump soil. Forty-three percent (43%) of the topsoil and 40% of the subsoil exhibited ecological risk index values greater than 320, indicating extreme degree of ecological risk. The first principal and second principal components with 36% and 28.2% variance respectively represent the growing impact of electronic waste disposal, specifically mobile phones, personal computers, and other potable electronic devices with short life span on waste dumps. The third principal component (10.2%) represents input from households and other forms of chemicals such as insecticides, paints, and detergents.
在许多发展中国家的城市,废物管理不当已经成为一个令人担忧的问题。其中一个常见的特征是露天垃圾场。本研究调查了埃努古和恩苏卡的露天垃圾场。从研究区域低收入、中低收入和高收入区的 10 个垃圾场收集了废物样本。废物成分按照标准方法确定,结果进行了统计分析。对选定的露天垃圾场进行了详细检查,以确定可能存在的环境影响。还从选定的垃圾场的表土和底土(15 厘米)采集了土壤样品,并分析了砷、镉、铬、铜、汞、锰、铅、镍、锌、镉和汞的含量。使用主成分分析(PCA)和聚类分析(CA)确定了污染源。重金属分析的结果用于确定土壤污染的程度。食物垃圾的比例在 29.6%至 56.5%之间,平均值为 42.2%。按收入线分析表明,从低收入到高收入,食物和橡胶垃圾的比例下降。在所调查的垃圾场土壤中重金属浓度的顺序如下:Mn>Zn>Cu>Cr>Pb>As>Ni>Cd>Hg。垃圾场的污染指数(PI)范围从表土中 Ni 的 1.87 到 Cu 的 1634.6,底土中 Ni 的 0.62 到 Cu 的 1354.74,表明污染严重。污染负荷指数(PLI)范围从 25.38 到 75.07,平均值为 60.75,用于垃圾场表面,从 51.46 到 21.7,平均值为 33.86,用于垃圾场下方土壤。43%的表土和 40%的底土的生态风险指数值大于 320,表明存在极高的生态风险。具有 36%和 28.2%方差的第一主成分和第二主成分分别代表了电子废物处理,特别是手机、个人电脑和其他寿命短的可移动电子设备对垃圾场的日益增长的影响。第三主成分(10.2%)代表了家庭和其他形式的化学品的输入,如杀虫剂、油漆和清洁剂。