Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, United Kingdom.
Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, United Kingdom.
Sci Total Environ. 2020 Nov 20;744:140898. doi: 10.1016/j.scitotenv.2020.140898. Epub 2020 Jul 16.
Contamination of surface and groundwater systems with human and animal faecal matter leads to exposure of reliant populations to disease causing micro-organisms. This exposure route remains a major cause of infection and mortality in developing countries, particularly rural regions. To meet the UN's sustainable development goal 6: Ensure availability and sustainable management of water and sanitation for all, we need to identify the key controls on faecal contamination across relevant settings. We conducted a high-resolution spatial study of E. coli concentration in catchment drainage waters over 6 months in a mixed land-use catchment in the extensive karst region extending across impoverished southwest China. Using a mixed effects modelling framework, we tested how land-use, karst hydrology, antecedent meteorological conditions, agricultural cycles, hydrochemistry, and position in the catchment system affected E. coli concentrations. Land-use was the best predictor of faecal contamination levels. Sites in urban areas were chronically highly contaminated, but water draining from agricultural land was also consistently contaminated and there was a catchment wide pulse of higher E. coli concentrations, turbidity, and discharge during paddy field drainage. E. coli concentration increased with increasing antecedent rainfall across all land-use types and compartments of the karst hydrological system (underground and surface waters), but decreased with increasing pH. This is interpreted to be a result of processes affecting pH, such as water residence time, rather than the direct effect of pH on E. coli survival. Improved containment and treatment of human waste in areas of higher population density would likely reduce contamination hotspots, and further research is needed to identify the nature and distribution of sources in agricultural land.
人与动物粪便对地表水和地下水系统的污染,导致依赖这些水资源的人群面临致病微生物的暴露风险。这种暴露途径仍然是发展中国家(尤其是农村地区)感染和死亡的主要原因。为了实现联合国可持续发展目标 6:确保人人获得水和环境卫生,我们需要确定相关环境中粪便污染的关键控制因素。我们在广泛的喀斯特地区进行了一项为期 6 个月的混合土地利用流域中集水区排水水中大肠杆菌浓度的高分辨率空间研究。我们使用混合效应建模框架,测试了土地利用、喀斯特水文学、前期气象条件、农业周期、水化学以及集水区系统中的位置如何影响大肠杆菌浓度。土地利用是粪便污染水平的最佳预测因子。城市地区的污染长期居高不下,但农业用地排水也一直受到污染,并且在稻田排水期间,整个集水区都出现了更高的大肠杆菌浓度、浊度和排放量脉冲。在所有土地利用类型和喀斯特水文系统(地下和地表水)中,大肠杆菌浓度随前期降雨量的增加而增加,但随 pH 值的增加而降低。这被解释为影响 pH 值的过程的结果,例如水停留时间,而不是 pH 值对大肠杆菌生存的直接影响。在人口密度较高的地区,改善对人类废物的处理和控制,可能会减少污染热点,需要进一步研究以确定农业用地中污染源的性质和分布。