Drinking water project chooses polymer bearing

World Pumps ◽  
2021 ◽  
Vol 2021 (6) ◽  
pp. 5





Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2096
Author(s):  
Samayan Narayanamoorthy ◽  
Veerappan Annapoorani ◽  
Samayan Kalaiselvan ◽  
Daekook Kang

Every country’s influence and livelihood is centered on that country’s water source. Therefore, many studies are being conducted worldwide to improve and sustain water resources. In this research paper, we have selected and researched the water scheme for groundwater recharge and drinking water supply of drought prone areas. The water project is aimed at connecting the drought prone areas of the three districts of Tamil Nadu to filling up the ponds in their respective villages and raising the ground water level and meeting the drinking water requirement. We have chosen a multi-criteria decision method to select the best alternative in a complex situation. When reviewing the implementation of this water project, many experts and people who will benefit from this project may have some hesitation and ambiguity in their suggestion on choosing the best water distribution system.We believe that the benefits of this project can be fully availed of if we choose a water distribution system. Our contribution in this article is to choose the best water distribution system for this project by use of our proposed multi-criteria decision making (MCDM) methods, hesitant fuzzy standard deviation with multi-objective optimization method by ratio analysis (HFSDV-MOORA), hesitant fuzzy standard deviation with technique, for order preference by similarity to an ideal solution (HFSDV-TOPSIS) and hesitant fuzzy standard deviation with VIsekriterijumsko Kompromisno Rangiranje (HFSDV-VIKOR), which will provide the best solution for improving the water resource for the drought-prone areas of three districts. Finally, we have identified and compared the correlation coefficient between proposed methods. As a result of the study, it has been found that the best water supply system is closed concrete pipes laid along agricultural land through the rural areas.





Author(s):  
Salem M. Bin Qadhi ◽  
Saeed Y. Bashir ◽  
Taha O. Assaggaf

This paper presents an existing problem of drinking water pollution for a small project and one of the model projects of drinking water in Yemen, designed to save and preserve good quality water for the present and future generations in the area. The paper gives the details of the project and explains the problem of bacteriological pollution and the steps undertaken to solve the problem. Some of the results for short-term solutions and recommendation for the long-term solutions are also given. 



2017 ◽  
Vol 14 (1-2) ◽  
pp. 80-85
Author(s):  
Rabin Adhikari

This paper explored changing social behaviors of the service beneficiaries in drinking water supply schemes. The study included five most accepted types of water schemes like; overhead tank system, shallow tube well system, gravity system, rainwater harvesting and water lifting system. Intrinsic case study methodology was applied to evaluate eleven drinking water project of western region of the country. Field observation, focus group discussion, and key informant interview methods were deployed during collecting information. This study found that all the drinking water schemes are running presently with big social and cultural issues. Beneficiaries are changing their behaviour while getting drinking water services offering by government and non-government mechanism. As so far, for natural and effective use of drinking water schemes it is inevitable to change social stigma and cultural attitude of the local people. Finally, this study reveals the importance of social analysis during drinking water project formulation stage so that issues of changing social behaviour of the beneficiaries can be addressed. Nepalese Journal of Development and Rural StudiesVol. 14 (Joint issue) (1&2), 2017, Page: 80-85





2017 ◽  
Vol 21 ◽  
pp. 537-543
Author(s):  
Victor Cuevas ◽  
Loreto Gatica ◽  
Jaime H. Garcia Palacios

In Chile there are numerous drinking water projects in rural areas, from which it is possible to extract relevant information that could be incorporated into a learning model based on cases to estimate a particular variable. Among the learning models based on cases are Bayesian networks, which have the particularity to predict a variable and quantify its uncertainty. In this paper, a methodology to build a model based on Bayesian networks to estimate the likely investment cost of a new drinking water project in rural areas is proposed. It has a database of 32 projects built between 2009 and 2014, in the region of Los Rios, Chile. Two Bayesian networks structures were created, each with eight common variables to both. The proposed networks were trained with data extracted from 26 randomly selected projects. The remaining 6 projects were used as a control group to evaluate Bayesian networks and compare their results. When each network was evaluated with the control group, it was observed that in general the predicted results were consistent with those observed in 83% of cases. Finally, it was concluded that the constructed model can estimate the likely investment cost of a new drinking water project in rural areas, quantifying prediction uncertainty, expressing the results in probabilistic terms. This model could become a useful management tool, both companies and government agencies whose mission is to assess, allocate resources, and define projects approval and implementation.



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