Byamukama Denis, Mach Robert L, Kansiime Frank, Manafi Mohamad, Farnleitner Andreas H
Makerere University Institute of Environment and Natural Resources, Kampala, Uganda.
Appl Environ Microbiol. 2005 Jan;71(1):65-71. doi: 10.1128/AEM.71.1.65-71.2005.
The performance of rapid and practicable techniques that presumptively identify total coliforms (TC), fecal coliforms (FC), Escherichia coli, and Clostridium perfringens spores (CP) by testing them on a pollution gradient in differing aquatic habitats in a high-altitude tropical country was evaluated during a 12-month period. Site selection was based on high and low anthropogenic influence criteria of paired sites including six spring, six stream, and four lakeshore sites spread over central and eastern parts of Uganda. Unlike the chemophysical water quality, which was water source type dependent (i.e., spring, lake, or stream), fecal indicators were associated with the anthropogenic influence status of the respective sites. A total of 79% of the total variability, including all the determined four bacteriological and five chemophysical parameters, could be assigned to either a pollution, a habitat, or a metabolic activity component by principal-component analysis. Bacteriological indicators revealed significant correlations to the pollution component, reflecting that anthropogenic contamination gradients were followed. Discrimination sensitivity analysis revealed high ability of E. coli to differentiate between high and low levels of anthropogenic influence. CP also showed a reasonable level of discrimination, although FC and TC were found to have worse discrimination efficacy. Nonpoint influence by soil erosion could not be detected during the study period by correlation analysis, although a theoretical contamination potential existed, as investigated soils in the immediate surroundings often contained relevant concentrations of fecal indicators. The outcome of this study indicates that rapid techniques for presumptive E. coli and CP determination may be reliable for fecal pollution monitoring in high-altitude tropical developing countries such as those of Eastern Africa.
在一个高海拔热带国家,对不同水生栖息地污染梯度上的样本进行检测,以推测性鉴定总大肠菌群(TC)、粪大肠菌群(FC)、大肠杆菌和产气荚膜梭菌孢子(CP)的快速实用技术,在12个月的时间里进行了评估。根据人为影响程度高低的标准选择采样地点,包括分布在乌干达中部和东部的六处泉水、六条溪流和四个湖岸地点。与取决于水源类型(即泉水、湖泊或溪流)的化学物理水质不同,粪便指标与各采样点的人为影响状况相关。通过主成分分析,所有测定的四个细菌学参数和五个化学物理参数的总变异性中,共有79%可归因于污染、栖息地或代谢活动成分。细菌学指标与污染成分显示出显著相关性,这反映出遵循了人为污染梯度。判别敏感性分析表明,大肠杆菌区分人为影响高低水平的能力很强。CP也显示出合理的判别水平,尽管发现FC和TC的判别效果较差。在研究期间,通过相关性分析未检测到土壤侵蚀的非点源影响,尽管存在理论污染潜力,因为周边调查的土壤中通常含有相关浓度的粪便指标。这项研究的结果表明,在东非等热带高海拔发展中国家,用于推测性测定大肠杆菌和CP的快速技术对于粪便污染监测可能是可靠的。