Design and operation of a rainwater for drinking (RFD) project in a rural area: case study at Cukhe Elementary School, Vietnam

2017 ◽  
Vol 7 (4) ◽  
pp. 651-658 ◽  
Author(s):  
Anh Dzung Dao ◽  
Duc Canh Nguyen ◽  
Moo Young Han
Keyword(s):  
Water Quality ◽  
Elementary School ◽  
Drinking Water ◽  
Rainwater Harvesting ◽  
Daily Rainfall ◽  
Economic Benefits ◽  
Rainfall Data ◽  
Safe Drinking Water ◽  
Daily Rainfall Data ◽  
Simplified Method

Abstract Since 2014, a well-designed rainwater for drinking (RFD) project has been successfully operating at Cukhe Elementary School, near Hanoi, Vietnam. During that time, daily rainfall data, water consumption, water quality and questionnaires to the community were prepared. Several concerns over the design and operation of RFD projects, such as lack of sufficient rainfall data, water quality concerns, and public acceptance, are identified and overcome. Modeled results from using observed daily rainfall data, and using a simplified method from insufficient monthly data, are compared. The simplified method using insufficient rainfall data is acceptable for design within the error range of 0–11%. Rainwater quality after the use of the point of use treatment device proved that a well-designed rainwater harvesting (RWH) system ensures safe drinking water, which complies with WHO and Vietnam drinking water quality standards (VDWQS) guidelines. The people of the community liked the RFD system because of the satisfactory water quality and the economic benefits of not needing to purchase bottled water. The success of the RFD project at the Cukhe Elementary School proved the potential of promoting rainwater as drinking water in rural areas in developing countries, where a safe drinking water supply is a challenge, and should be promoted as an important means to achieve Sustainable Development Goal 6.

The effect of weather, drainage efficiency and duration of spring cultivations on barley yields in England

1972 ◽  
Vol 7 (2) ◽  
pp. 79-83 ◽  
Author(s):  
L P Smith
Keyword(s):  
Yield Loss ◽  
Daily Rainfall ◽  
Rainfall Data ◽  
Work Schedule ◽  
Average Yield ◽  
Daily Rainfall Data ◽  
Arable Farming ◽  
Work Distribution

Daily rainfall data for twenty years in arable farming areas are analysed with respect to four standards of drainage and for three lengths of schedule of spring work. Distribution and frequency in time of available work days are interpreted in terms of lateness of sowing and of barley yield. Formulae are established to calculate average yield loss in terms of drainage standard and work schedule, enabling estimates to be made of the effect of planned improvements.

scholarly journals Public Demand for Improved Urban Water Supply Services in Multan

2020 ◽  
Vol 16 (1) ◽  
pp. 171-192
Author(s):  
Junaid Alam Memon ◽  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Service Delivery ◽  
Water Supply ◽  
Quality Parameters ◽  
Safe Drinking Water ◽  
Structured Interviews ◽  
Number Of Children ◽  
Awareness Campaigns ◽  
Water Charges

Governments in developing countries face financial constraints to ensure supply of clean drinking water. They may benefit from increasing water charges for those who are be willing to pay little extra in lieu of their demand for improvement in water quality and service. To check the plausibility of this proposal, we investigated drinking water supply and quality, and welloff consumers demand for improved service delivery in Shah-Rukun-e-alam and Mumtazabad towns in Multan city of Pakistan. Qualitative data obtained through a questionnaire survey was analyzed using descriptive and regression techniques. Qualitative information obtained through semi structured interviews was helpful in designing survey questionnaire and to elaborate quantitative results. Results reveal that the respondents accord high importance to the provision of safe drinking water than to other daily household needs. The demand for improvement in water supply parameters exceeds the demand for improvements in water quality parameters, with the reliable supply being the most demanded improvement. Majority realize the government’s budget constraints in improving service delivery. Most respondents would pay PKR 100 in addition to what they are paying now. Their willingness to pay (WTP) this amount correlates with their awareness on water and health nexus, and depends household income, number of children under 14 years age and awareness of actual water quality tested through laboratory. Besides recommending raise of water charges by PKR 100 per month per household in both towns, the service quality improvement may consider interventions such as mobile water testing laboratory and awareness campaigns motivate citizens to pay for safe drinking water.

scholarly journals Bayesian Time Series Modelling of the Italian Daily Rainfall Data using Mixed Distribution

2019 ◽  
Vol 8 (4) ◽  
pp. 2279-2288
Keyword(s):  
Time Series ◽  
Daily Rainfall ◽  
Rainfall Data ◽  
Seasonal Effects ◽  
Model Parameters ◽  
Daily Rainfall Data ◽  
Mixed Distribution ◽  
Time Series Modelling ◽  
Bayesian Time Series ◽  
The Ideal

A combination of continuous and discrete elements is referred to as a mixed distribution. For example, daily rainfall data consist of zero and positive values. We aim to develop a Bayesian time series model that captures the evolution of the daily rainfall data in Italy, focussing on directly linking the amount and occurrence of rainfall. Two gamma (G1 and G2) distributions with different parameterisations and lognormal distribution were investigated to identify the ideal distribution representing the amount process. Truncated Fourier series was used to incorporate the seasonal effects which captures the variability in daily rainfall amounts throughout the year. A first-order Markov chain was used to model rainfall occurrence conditional on the presence or absence of rainfall on the previous day. We also built a hierarchical prior structure to represent our subjective beliefs and capture the initial uncertainties of the unknown model parameters for both amount and occurrence processes. The daily rainfall data from Urbino rain gauge station in Italy were then used to demonstrate the applicability of our proposed methods. Residual analysis and posterior predictive checking method were utilised to assess the adequacy of model fit. In conclusion, we clearly found that our proposed method satisfactorily and accurately fits the Italian daily rainfall data. The gamma distribution was found to be the ideal probability density function to represent the amount of daily rainfall.

Off-flavor as the consumer's measure of drinking water safety

1995 ◽  
Vol 31 (11) ◽  
pp. 1-8 ◽  
Author(s):  
Michael J. McGuire
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Utilities ◽  
Regulatory Environment ◽  
Safe Drinking Water ◽  
Water Safety ◽  
Safe Water ◽  
Drinking Water Safety ◽  
Off Flavors ◽  
Health Related

If consumers detect an off-flavor in their drinking water, they are likely to believe that it probably is not safe. Water utilities will be defeating their best efforts to provide safe drinking water if they only meet health-related regulations and do not provide water that is free of off-flavor problems. The purpose of this paper is to explore the current U.S. regulatory environment and discuss how these regulations can adversely impact the control of off-flavors in drinking water. Utilities should adopt a water quality goal that allows them to not only meet the minimums of the regulations, but also meet the customer's highest standards - water that is free of off-flavors.

scholarly journals Characterizing a Newly Designed Steel-Wool-Based Household Filter for Safe Drinking Water Provision: Hydraulic Conductivity and Efficiency for Pathogen Removal

Processes ◽  
2019 ◽  
Vol 7 (12) ◽  
pp. 966 ◽  
Author(s):  
Raoul Tepong-Tsindé ◽  
Arnaud Igor Ndé-Tchoupé ◽  
Chicgoua Noubactep ◽  
Achille Nassi ◽  
Hans Ruppert
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Hydraulic Conductivity ◽  
Ph Value ◽  
Iron Concentration ◽  
Progressive Increase ◽  
Total Coliform ◽  
Drinking Water Quality ◽  
Safe Drinking Water ◽  
Steel Wool

This study characterizes the decrease of the hydraulic conductivity (permeability loss) of a metallic iron-based household water filter (Fe0 filter) for a duration of 12 months. A commercial steel wool (SW) is used as Fe0 source. The Fe0 unit containing 300 g of SW was sandwiched between two conventional biological sand filters (BSFs). The working solution was slightly turbid natural well water polluted with pathogens (total coliform = 1950 UFC mL−1) and contaminated with nitrate ([NO3−] = 24.0 mg L−1). The system was monitored twice per month for pH value, removal of nitrate, coliforms, and turbidity, the iron concentration, as well as the permeability loss. Results revealed a quantitative removal of coliform (>99%), nitrate (>99%) and turbidity (>96%). The whole column effluent depicted drinking water quality. The permeability loss after one year of operation was about 40%, and the filter was still producing 200 L of drinking water per day at a flow velocity of 12.5 L h−1. A progressive increase of the effluent pH value was also recorded from about 5.0 (influent) to 8.4 at the end of the experiment. The effluent iron concentration was constantly lower than 0.2 mg L−1, which is within the drinking-water quality standards. This study presents an affordable design that can be one-to-one translated into the real world to accelerate the achievement of the UN Sustainable Development Goals for safe drinking water.

scholarly journals Structural break or long memory: an empirical survey on daily rainfall data sets across Malaysia

2013 ◽  
Vol 17 (4) ◽  
pp. 1311-1318 ◽  
Author(s):  
F. Yusof ◽  
I. L. Kane ◽  
Z. Yusop
Keyword(s):  
Long Memory ◽  
Structural Breaks ◽  
Structural Break ◽  
Daily Rainfall ◽  
Least Square ◽  
Rainfall Data ◽  
Data Sets ◽  
Original Series ◽  
Empirical Survey ◽  
Daily Rainfall Data

Abstract. A short memory process that encounters occasional structural breaks in mean can show a slower rate of decay in the autocorrelation function and other properties of fractional integrated I (d) processes. In this paper we employed a procedure for estimating the fractional differencing parameter in semiparametric contexts proposed by Geweke and Porter-Hudak (1983) to analyse nine daily rainfall data sets across Malaysia. The results indicate that all the data sets exhibit long memory. Furthermore, an empirical fluctuation process using the ordinary least square (OLS)-based cumulative sum (CUSUM) test for the break date was applied. Break dates were detected in all data sets. The data sets were partitioned according to their respective break date, and a further test for long memory was applied for all subseries. Results show that all subseries follows the same pattern as the original series. The estimate of the fractional parameters d1 and d2 on the subseries obtained by splitting the original series at the break date confirms that there is a long memory in the data generating process (DGP). Therefore this evidence shows a true long memory not due to structural break.

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