Research Center for Environmental Quality Management, Graduate School of Engineering, Kyoto University, 1-2 Yumihama, Otsu 520-0811, Japan.
Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Sci Total Environ. 2021 Jun 20;774:145075. doi: 10.1016/j.scitotenv.2021.145075. Epub 2021 Feb 3.
The Soil and Water Assessment Tool (SWAT) ecohydrological model was utilized to simulate fecal contamination in the 1937 km Selangor River Watershed in Malaysia. The watershed conditions posed considerable challenges owing to data scarcity and tropical climate conditions, which are very different from the original conditions that SWAT was developed and tested for. Insufficient data were compensated by publicly available data (e.g., land cover, soil, and weather) to run SWAT. In addition, field monitoring and interviews clarified representative situations of pollution sources and loads, which were used as input for the model. Model parameters determined by empirical analyses in the USA (e.g., surface runoff, evapotranspiration, and temperature adjustment for bacteria die-off) are thoroughly discussed. In particular, due consideration was given to tropical climate characteristics such as intense rainfall, high potential evapotranspiration, and high temperatures throughout the year. As a result, the developed SWAT successfully simulated fecal contamination ranging several orders of magnitude along with its spatial distribution (i.e., Nash-Sutcliffe Efficiency (NSE) = 0.64, Root Mean Square Error-Observations Standard Deviation Ratio (RSR) = 0.64 at six mainstem sites, and NSE = 0.67 and RSR = 0.57 at 12 major tributaries). Moreover, mitigation countermeasures for future worsening of fecal contamination (i.e., E.coli concentration > 20,000 CFU/100 mL for 690 days during nine years at a raw water intake point for Kuala Lumpur [KL] residents) were analyzed through scenario simulations, thereby contributing to discussing effective watershed management. The results propose improving decentralized sewage treatment systems and treating chicken manure with effective microorganisms in order to guarantee water safety for KL residents (i.e., E.coli concentrations <20,000 CFU/100 mL throughout the period, considering Malaysian standards). Accordingly, this study verified the applicability of SWAT to simulate fecal contamination in areas that are difficult to model and suggests solutions for watershed management based on quantitative evidence.
利用土壤和水评估工具 (SWAT) 生态水文模型模拟马来西亚雪兰莪河流域 1937 公里范围内的粪便污染。由于数据稀缺和热带气候条件与 SWAT 开发和测试的原始条件非常不同,该流域情况带来了相当大的挑战。通过公开可用的数据(例如土地覆盖、土壤和天气)来弥补数据不足,以运行 SWAT。此外,实地监测和访谈澄清了污染源和负荷的代表性情况,这些情况被用作模型的输入。通过在美国进行的经验分析确定的模型参数(例如地表径流、蒸散和细菌死亡的温度调整)进行了深入讨论。特别是,充分考虑了热带气候特征,例如强降雨、高潜在蒸散量和全年高温。结果,开发的 SWAT 成功地模拟了粪便污染的几个数量级及其空间分布(即在六个干流站点,纳什-苏特克里夫效率 (NSE) = 0.64,观测标准偏差比 (RSR) = 0.64,在 12 个主要支流站点,NSE = 0.67 和 RSR = 0.57)。此外,通过情景模拟分析了未来粪便污染恶化的缓解对策(即,在吉隆坡[KL]居民的原水入口点,在九年的 690 天内,大肠杆菌浓度> 20,000 CFU/100 mL),从而有助于讨论有效的流域管理。结果提出改善分散式污水处理系统和用有效微生物处理鸡粪,以保证 KL 居民的用水安全(即,考虑到马来西亚标准,整个期间大肠杆菌浓度<20,000 CFU/100 mL)。因此,本研究验证了 SWAT 对难以建模的地区模拟粪便污染的适用性,并基于定量证据提出了流域管理解决方案。