RTI International India, New Delhi 110 037, India.
Center for Water, Sanitation, Hygiene and Infectious Disease (WASH-AID), Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA.
Sci Total Environ. 2023 Jan 20;857(Pt 1):159178. doi: 10.1016/j.scitotenv.2022.159178. Epub 2022 Oct 3.
Urine diversion in a No-Mix Toilet is a promising approach for sustainable fertilizers and reduction of the nutrient load for wastewater treatment; however, user adoption remains a challenge. This study evaluates the Urine Trap, a passive No-Mix toilet design based on the teapot effect, wherein the urine stream inlet is invisible to the user and therefore it does not impact the user experience for increased adoption. This study evaluated the nutrient separation performance of a Urine Trap flush toilet in a bathroom shared by women in two sites in India. Over three different testing periods, 841 uses of this squat plate were recorded in 50 days. Analytical measurements found 36 % separation efficiency for total nitrogen (TN). While effective, the Urine Trap under test by users did not yield a 70-80 % TN separation efficiency observed under engineering characterization. High temporal resolution data from sensors on waste collection tanks, the opening of the bathroom door, and cleansing water flow were used to gain insights into hygiene practices. The data showed a frequent habit of wetting the squat plate during physiological excretion, a hygienic practice that eases cleaning but degrades the teapot separation effect of the Urine Trap design. By using sensors, we demonstrate a method to non-invasively gain quantitative insights into hygiene practices to inform sanitation technologies deployment strategies for improved outcomes.
尿液分流式非混合厕所是一种很有前景的可持续肥料生产方式,可减少污水处理中的营养负荷;然而,其用户接受度仍然是一个挑战。本研究评估了基于茶壶效应的被动式非混合厕所尿液隔离器设计,尿液流入口对使用者不可见,因此不会影响用户体验,从而提高接受度。本研究在印度的两个地点的女性共用浴室中评估了尿液隔离器冲洗厕所的养分分离性能。在三个不同的测试期内,在 50 天内记录了 841 次蹲便器使用情况。分析测量发现总氮(TN)的分离效率为 36%。虽然有效,但用户测试的尿液隔离器并未达到工程特性测试中观察到的 70-80%TN 分离效率。废物收集罐上的传感器、浴室门的开启和清洁水流量的高时间分辨率数据被用来深入了解卫生习惯。数据显示,在生理排泄过程中经常有润湿蹲便器的习惯,这种卫生习惯虽然便于清洁,但会降低尿液隔离器设计的茶壶分离效果。通过使用传感器,我们展示了一种非侵入性方法,可以定量了解卫生习惯,从而为改善卫生技术部署策略提供信息。