scholarly journals PERT MATHEMATICAL MODEL DEVELOPMENT FOR THE SUPPLY OF DOMESTIC WELL-WATER TREATMENT PLANT

2020 ◽  
Vol 4 (2) ◽  
pp. 552-566
Author(s):  
Matthew O. Arowolo ◽  
Adefemi A. Adekunle ◽  
A. Ezekiel Fadiji

In Nigeria most cities are water stressed, none of the cities are having regular water supply. Quality water for human consumption is a primary duty of the government but they have failed. Also, current cost of boreholes installation has increased beyond their capacity due to Naira devaluation in the world market. Water resources management requires constant monitoring in terms of its qualitative-quantitative values. This study presents potential impact of the Project Evaluation and Review Techniques (PERT) mathematical model software development for the supply of domestic well-water treatment plant. After testing software against the values then, the 37days calculated Expected Time (ET) is unreliable because the risk involved in this project is (100 – 34.23) % = 65.77 %. However, a new completing date can be predicted by PERT mathematical model for supply of domestic well-water treatment plant by varying probability of completion to predict new date of completing the plant. Therefore, concerning this research the Initial probability was moved from 34.23% to 90%. By interpolation with 37 days; the new acceptable date was 97.28 days. The risk involved now (100 – 90) % reduced to 10%, a very good comfortable zone for the project. This information has really helped in two ways: for easy computation and decision making in water supply scheme project. This result is useful in industrialization, individuals, housing estate, small and medium scale industries where quality domestic well-water for crops production is a necessity. Hence, it is recommended that, the developed mathematical models performed 

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Anne Louise de Melo Dores ◽  
Felipe Corrêa Veloso dos Santos

AbstractTo elaborate efficient and economical water supply systems is one of the main objectives in the sanitation companies water system projects. In order to address the challenges faced in reaching this objective, this study aims to identify, first, the relation between the percentage of non-conformed samples in treated water and the inefficiency of the filtering units installed in the water treatment plant, and second, if, by drawing the consumption variation curve it is the most efficient way to predict the storage tanks volume—comparing necessary capacity, determined by the consumption curve, and installed capacity, predict by the outdated Brazilian normative. In order to reach answers for these two questions, this study measured the operating efficiency of the treatment plant as well as have set a quantitative comparison between the two dimensioning criteria for storage tanks volume present in the literature. As a result, the analysis provided the authors to detect a focus of contamination in the single-layered filtering units, limited by the filtering capacity of 2–6 m3/(m2 day), whilst operating at 333.13 m3/(m2 day). As well as to detect by the drawing of the consumption variation curve an oversize of 68% and 60% in the dimensioning of the studied storage tanks. With the results provided by this analysis approach, it was possible to efficiently detect and correct critical impairments in the treatment phase and to conclude that a long-term analysis should be drawn in order to affirm if the consumption variation curve is the best design methodology for the reservoirs.


2016 ◽  
Vol 16 (4) ◽  
pp. 922-930 ◽  
Author(s):  
L. Richard ◽  
E. Mayr ◽  
M. Zunabovic ◽  
R. Allabashi ◽  
R. Perfler

The implementation and evaluation of biological nitrification as a possible treatment option for the small-scale drinking water supply of a rural Upper Austrian community was investigated. The drinking water supply of this community (average system input volume: 20 m3/d) is based on the use of deep anaerobic groundwater with a high ammonium content of geogenic origin (up to 5 mg/l) which must be treated to prevent the formation of nitrites in the drinking water supply system. This paper describes the implementation and operation of biological nitrification despite several constraints including space availability, location and financial and manpower resources. A pilot drinking water treatment plant, including biological nitrification implemented in sand filters, was designed and constructed for a maximum treatment capacity of 1.2 m3/h. Online monitoring of selected physicochemical parameters has provided continuous treatment performance data. Treatment performance of the plant was evaluated under standard operation as well as in the case of selected malfunction events.


2019 ◽  
Vol 169 ◽  
pp. 173-180
Author(s):  
Fidel G. Aparicio Roque ◽  
Betsabe G. Blas Achic ◽  
Roger L. Moreno Jaimes ◽  
Juan M. Roque

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Tety Sriana

Sumber air baku yang direncanakan sebagai sumber air Water Treatment Plant ( WTP ) di Kota Lhokseumawe salah satunya adalah di Desa Ujung Pacu, Kecamatan Muara Satu, Pemerintah Kota Lhokseumawe, yang direncanakan berasal dari air permukaan ( surface water supply) diambil dari Sungai Ujung Pacu. Studi ini bertujuan secara umum untuk melakukan analisis hidrologi dan kualitas air baku sebagai pengembangan potensi Desa Ujong Pacu sebagai kawasan sumber air baku penyediaan air minum bagi Kota Lhokseumawe. Data yang dikumpulkan meliputi data hidrologi ( debit sungai, pengukuran pasang surut, evaporasi ) dan data laboratorium air baku. Dari hasil pengolahan dan analisa data diketahui bahwa debit rerata Sungai Ujong Pacu selama survey pengambilan data adalah 12,279 m3/detik, dengan debit terkecil yang terjadi adalah sebesar 6,627 m3/detik atau 6627 liter/detik. Debit minimum ini telah cukup untuk WTP yang direncanakan dengan kapasitas 50 liter/detik atau 1,524 cfs. Naik dan turun air permukaan sungai karena pasang naik dan surut air laut terjadi mak simal nya rata-rata lebih kurang selama 9 jam tiap harinya. Evaporasi terbesar terjadi pada bulan Agustus, yaitu sebesar 13,868 mm/hari. Nilai evaporasi ini adalah sebesar 10,413% dari total evaporasi harian tiap bulannya selama setahun. Nilai ini masih di bawah nilai persentase evaporasi maksimum yang biasa terjadi pada bulan evaporasi maksimum yaitu sebesar 20%. Sungai Ujong Pacu adalah sungai dengan kandungan bahan organik yang tinggi, air baku tidak ada indikasi tercemar logam berat, meskipun demikian air tidak memenuhi syarat sebagai air minum, tapi memenuhi syarat sebagai sumber bahan baku air minum dengan treatment tertentu.Kata-kata kunci: Water Treatment Plant ( WTP ) , analisis hidrologi, kualitas air baku


2004 ◽  
Vol 4 (5-6) ◽  
pp. 263-270 ◽  
Author(s):  
Th.G.J. Bosklopper ◽  
L.C. Rietveld ◽  
R. Babuska ◽  
B. Smaal ◽  
J. Timmer

Water treatment plants are in general robust and designs are based on the performance of individual processes with pre-set boundary conditions. It is assumed that an integral approach of the entire treatment plant can lead to more efficient operation. Taking into account the developments in sensoring, automation and computation, it is a challenge to improve quality and reliability of the treatment plants and to make maximal use of the installed infrastructure, postponing new investments. At Amsterdam Water Supply (AWS), the first steps have been taken to come to an integral dynamic model of the total water treatment plant and the use of this model as an instrument for integral control. The parameters influencing the performance of the water treatment process will be incorporated in an overall model evaluating the goal factors quality (good, constant and reliable), quantity, costs, environmental impact (low residuals level), redundancy and flexibility. For several individual processes at AWS models have already been developed during the last few years, like models for the ozone process, biological activated carbon filtration and pellet softening. For the final calibration and validation pilot reactors are automated and on-line data are collected. Criteria for evaluation are developed to realise an optimal control of the individual processes in interaction with the goal factors of the total treatment process.


2010 ◽  
Vol 59 (6-7) ◽  
pp. 392-399
Author(s):  
D. Nagashio ◽  
I. Tsuda ◽  
T. Mayahashi ◽  
K. Michishita ◽  
T. Hanamoto

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