Real-life efficiency of urine source separation.
نویسندگان
چکیده
Urine source separation (NoMix technology) is a promising innovation in wastewater management. To improve and further develop NoMix technology, it has been implemented in four Swiss households and at our research institute (Eawag). We conducted measurements during one year on frequency of toilet usage (in households 5.2/person/day for weekdays, and 6.3/person/day for weekends), flushing behavior (30-85% small flushes), and recovered urine. We calculate the amount of urine effectively recovered per voiding in NoMix toilets (138 ml/flush in households; 309 ml/flush in women's toilets at Eawag), and waterfree urinals (225 ml/usage). We estimate urine recovery in the households to be maximally 70-75% of the expected quantity, leaving room for technical and behavioral improvements. Based on sampling of N and P concentrations, we suspect nitrogen losses in the extended urine piping system. For households and workplaces, the daily and weekly flushing pattern is recorded. Our results are in accordance with literature data from a shorter period but with more people. These results represent a good dimensioning basis for future urine source separation applications. An example of extrapolation to an entire watershed is presented. The flushing pattern corresponds well with the typical nitrogen loading of a treatment plant.
منابع مشابه
Source Separation of Human Urine - Separation Efficiency and Effects on Water Emissions, Crop Yield, Energy Usage and Reliability
Urine is the waste fraction from households which contains the largest amounts of nutrients. In Sweden it contains approximately 70% of the nitrogen and 50% of the phosphorous and potassium in all household waste and wastewater fractions. During the 1990-ies, urine separation has been thoroughly investigated in waterborne systems in Sweden. Measurements have shown that between 50% and 85% of th...
متن کاملNull space component analysis for noisy blind source separation
We propose an approach called the Null Space Component Analysis (NCA) algorithm to solve the noisy blind source separation (BSS) problem. In a set of m linearly independent source signals, each signal is associated with a separating operator that includes the signal in its null space and repels other signals from the space. The signal model induced by the m operators represents the space where ...
متن کاملNitrogen and Phosphate Recovery from Source-Separated Urine by Dosing with Magnesite and Zeolite
There is increasing interest in source separation and treatment of urine so as to recover nitrogen and phosphate more efficiently than treating combined wastewater. Although previous studies primarily focused on struvite precipitation for the recovery of phosphorus, the composition of urine changes during storage. The present study compared the precipitation conditions for fresh urine and hydro...
متن کاملBlind Signal Separation Using an Extended Infomax Algorithm
The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...
متن کاملBlind Signal Separation Using an Extended Infomax Algorithm
The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of environmental management
دوره 90 5 شماره
صفحات -
تاریخ انتشار 2009