In-home performance and variability of biosand filters treating turbid surface and rain water in rural Kenya

2013 ◽  
Vol 3 (2) ◽  
pp. 189-198 ◽  
Author(s):  
Erica R. McKenzie ◽  
Marion W. Jenkins ◽  
Sangya-Sangam K. Tiwari ◽  
Jeanie Darby ◽  
Wycliffe Saenyi ◽  
...  

Thirty low-income Kenyan households using turbid river and relatively cleaner rain water participated in a 6 month in-home Biosand filter (BSF) performance study comprised of surveys and monthly monitoring of BSF influent and effluent water for turbidity and fecal coliforms (FC). River–river (influent–effluent) sample pairs (n = 155; 90% of observations) resulted in average BSF instantaneous FC and turbidity removals of 1.41 log10 (96.1%) and 32.5%, respectively. Cumulative distributions of influent and effluent quality demonstrated unambiguous improvement of river water but rain water improvement was limited and less reliable. Filter performance varied considerably within and across units. A hierarchical set of hypothesized factors affecting filter bacterial performance variability was assessed. BSF effluent FCs were positively correlated with influent (flush water) FCs and influent and effluent turbidity, and negatively correlated with turbidity applied to-date and days since maintenance. Interrupted use and moving the BSF negatively impacted effluent quality. Households with children age 6–10 collecting BSF filtered drinking water, or with more members, had higher effluent FCs. BSFs fed only river water performed better, on average, than mixed-source filters. Implications for BSF implementation in developing countries are discussed, including aqueous chemistry aspects of performance.

2020 ◽  
Vol 10 (1) ◽  
pp. 166-170 ◽  
Author(s):  
Kevin D. Curry ◽  
Christopher P. Bloch ◽  
Vantha Hem

Abstract Alum is often recommended by WASH agencies as a pretreatment flocculent to improve filtration in biosand filters (BSFs) for communities using a turbid drinking water source. Floating villages on the Tonle Sap Lake in Cambodia using BSFs encounter severe declines in filtration rates while using alum, resulting in reduced use of the BSF. We tested the effect of rock alum treatment on flow rate and turbidity. The flow rate of all BSFs declined over time, but degradation of flow was more rapid for alum-treated water than untreated water. Rock alum treatments significantly reduced the turbidity of borrow pit source water. Filters switched to untreated river water decreased in turbidity to levels ≤ rock alum-treated river water. Rock alum treatments increased aluminum in source water 4–15 times, but filtration by BSFs decreased levels of aluminum to near 0.05 mg/L. Though rock alum effectively reduces turbidity in source water, we believe it continues its coagulation inside the BSF during pause periods, negatively impacting flow rates.


2001 ◽  
Vol 44 (11-12) ◽  
pp. 223-230 ◽  
Author(s):  
T.A. Stentström ◽  
A. Carlander

The interest in constructed wetlands for municipal wastewater and stormwater treatment has recently increased but data for the reduction efficiency of indicator organisms are often restricted to the water phase. In a full-scale wastewater wetland in Sweden fecal coliforms and enterococci were reduced by 97-99.9% and coliphages by approximately 70%. The factors affecting the reduction are however less well understood. In two full-scale wetlands, for stormwater and wastewater treatment, an assessment has been done of the particle associated fraction of indicator organisms. No significant differences in the particle-associated numbers were seen between the inlet and the outlet of the wetlands, but the amounts of sedimenting particles varied between the two sites. In the stormwater wetland the amount of sedimenting particles at the outlet was 3% of the amount at the inlet, while the wastewater wetland had much lower particle removal efficiency. The reduction of suspended particles seems to be the main factor for bacterial elimination from the water phase, governed by vegetation and design. In the sediment, survival of presumptive E.coli, fecal enterococci, Clostridium and coliphages were long with T90-values of 27, 27, 252 and 370 days, respectively. The organisms can however be reintroduced by resuspension. Viruses in the water phase may be of main concern for a risk assessment of receiving waters.


Author(s):  
SHAKEEL AHMAD MIR

Objective: The aim is to study the effect of various sociodemographic factors on patient compliance in long-term therapies. Methods: This is a questionnaire-based study of 195 adult outdoor patients suffering from chronic illnesses and receiving long-term drug therapy. Various sociodemographic factors were noted in a validated questionnaire. Questions about drugs being taken were asked. The compliance was measured by General Medication Adherence Scale. Results: The study population consists of 51.3% of males and 48.7% of females. About 39.0% of participants were literate and 61.0% were illiterate. About 72.3% belonged to the rural area, 13.3% urban, and 14.4% to the main city. About 33.3% were self-employed or unemployed, 17.4% government employees, and 49.3% were private employees. About 20.0% belonged to high-income group, and 40.0% to middle- and 40.0% to low-income group. Statistically significant correlation was found between compliance and age, gender, area of residence, education, and marital status (p<0.05). Better compliance was observed in men, unmarried,middle-aged, literate, and urban populations. Conclusions: We conclude that some sociodemographic factors correlate with compliance to long-term therapies.


2002 ◽  
Vol 68 (3) ◽  
pp. 1122-1131 ◽  
Author(s):  
Lester W. Sinton ◽  
Carollyn H. Hall ◽  
Philippa A. Lynch ◽  
Robert J. Davies-Colley

ABSTRACT Sunlight inactivation in fresh (river) water of fecal coliforms, enterococci, Escherichia coli, somatic coliphages, and F-RNA phages from waste stabilization pond (WSP) effluent was compared. Ten experiments were conducted outdoors in 300-liter chambers, held at 14°C (mean river water temperature). Sunlight inactivation (k S) rates, as a function of cumulative global solar radiation (insolation), were all more than 10 times higher than the corresponding dark inactivation (k D) rates in enclosed (control) chambers. The overall k S ranking (from greatest to least inactivation) was as follows: enterococci > fecal coliforms ≥ E. coli > somatic coliphages > F-RNA phages. In winter, fecal coliform and enterococci inactivation rates were similar but, in summer, enterococci were inactivated far more rapidly. In four experiments that included freshwater-raw sewage mixtures, enterococci survived longer than fecal coliforms (a pattern opposite to that observed with the WSP effluent), but there was little difference in phage inactivation between effluents. In two experiments which included simulated estuarine water and seawater, sunlight inactivation of all of the indicators increased with increasing salinity. Inactivation rates in freshwater, as seen under different optical filters, decreased with the increase in the spectral cutoff (50% light transmission) wavelength. The enterococci and F-RNA phages were inactivated by a wide range of wavelengths, suggesting photooxidative damage. Inactivation of fecal coliforms and somatic coliphages was mainly by shorter (UV-B) wavelengths, a result consistent with photobiological damage. Fecal coliform repair mechanisms appear to be activated in WSPs, and the surviving cells exhibit greater sunlight resistance in natural waters than those from raw sewage. In contrast, enterococci appear to suffer photooxidative damage in WSPs, rendering them susceptible to further photooxidative damage after discharge. This suggests that they are unsuitable as indicators of WSP effluent discharges to natural waters. Although somatic coliphages are more sunlight resistant than the other indicators in seawater, F-RNA phages are the most resistant in freshwater, where they may thus better represent enteric virus survival.


2013 ◽  
Vol 838-841 ◽  
pp. 3156-3162 ◽  
Author(s):  
Noor Yasmin Zainun ◽  
Nadzirah Roslan ◽  
Aftab Hameed Memon

Housing is one of the basic needs of human. Population in Malaysia is increasing and expected to reach up to 35 million in year 2020. This phenomenon creates high demand for housing. To tackle the squatter problems, the government introduces low-cost housing. Low cost house is known as the government house, where the price is cheaper but still comfortable. Although there are many of low-cost housing projects have been completed to cope with the need of the citizen especially for low-income group. However, census report reveled that these is huge demand of low-cost housing. This demand might be because of various factors which are very essential to identify in order to meet the required demand of low cost houses. Hence, this study is carried out to assesse the demand of low cost housing in Melaka, determine the significant factors affecting demand of low-cost housing, and establish PLS-SEM model for assessing factors affecting low-cost housing demand. In this study, data are collected by distributing questionnaire in Melaka state. The collected data from survey was analyzed using statistical software SPSS and presented in graphs and chart. Further, factors affecting low cost housing demand in Melaka were modeled with the SmartPLS v2.0. The model shows the relationship between low cost housing demand and its indicators. The finding of the study showed that most significant indicators affecting the demand of low-cost housing in Melaka are the economic factors which include housing stock, inflation rate and Gross Domestic Products (GDP). The Goodness of Fit showed that the model has substantial explaining power for the assessing factors affecting low cost housing demand in Melaka which the values is 0.481. This means that the economic factor has a great influence on the low-cost housing demand in Melaka.


2008 ◽  
Vol 57 (7) ◽  
pp. 1037-1045 ◽  
Author(s):  
G. Mannina ◽  
G. Mancini ◽  
M. Torregrossa ◽  
G. Viviani

A semi-empirical mechanistic model able to simulate the dynamics of a stabilization reservoir was developed incorporating both settling of particulate components and chemical/biological processes. Several factors affecting the reservoir effluent quality were taken into account: hydraulics and hydrology, solar radiation, atmospheric reaeration, algae, zooplankton, organic matter, pathogen bacteria, and sediment-water interaction. The model quantifies the specific influence of each factor on effluent quality, evaluating the correlation between the different considered factors. State variables included in the model were: algae, dissolved oxygen, organic matter, zooplankton and indicator bacteria. The model was transferred into a computational code in order to provide a useful and versatile tool for water resource planning management issues. The model was verified by comparing simulated results with full-scale data collected from a small reservoir (Sicily, IT) filled with partially treated wastewater. The reservoir has a volume of 11,000 m3, a maximum depth of 6.3 m and a mean depth of about 5 m. The monitoring period lasted four months during which the reservoir operated in different hydraulics conditions: as a standard batch reactor and as a continuous flow reactor. The model was able to reproduce the behaviour of the principal simulated parameters thus representing a potential tool for the management and performance optimization of these peculiar storage/treatment systems.


1685 ◽  
Vol 15 (167) ◽  
pp. 849-853

I. The Weight of a Cubical foot of Sea-Water, fresh River-Water, Spring-Water and Rain-Water ; as also of Ale, French Wine, Brandy, Metheglin and Spanish Wine, Oil-Olive, Rape-Oil and Train-Oil?


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