Resultados del diagnnstico del rea comercial para fortalecimiento de 4 OOAPAS en Michoaccn, MMxico (Results of the Diagnosis of the Commercial Area to Strengthen 4 Water Companies in Michoaccn, MMxico)

2017 ◽  
Author(s):  
Edgar Anttnez ◽  
Luis GGmez ◽  
Patricia Hansen ◽  
Jorge A. Casados
2018 ◽  
Vol 18 (1) ◽  
pp. 41-51
Author(s):  
Mincheol Cho ◽  
◽  
Yeonhee Kim ◽  
Yoonkook Lee ◽  
Jeongwon Jang ◽  
...  

Author(s):  
Aliza Sultana ◽  
Ashok Kumar Paul ◽  
Meher Un Nessa

This study was conducted in the Khulna metropolitan city to determine the status of noise pollution at major traffic intersections and assess the possible effect of noise on regular noise afflicted people. For this research, five busiest roadways and traffic intersections; two mixed zone and three commercial zones were selected purposively and 'ST-8850 Sound Level Meter' was used to record the noise pressure level. Average noise pressure level and some noise parameters (Leq, L10, L50, L90, and Lnp) were measured at different shifts in each location both on working days and holidays. The result evidently specified that noise level in all major traffic circles of Khulna metropolitan city was much higher than the recommended threshold of acceptable noise level set by the Department of Environment (DOE) of Bangladesh. It was observed that the mixed area (Sonadanga, Gollamari) tends to have a higher average noise level than those of the commercial area (Shibbari, Notunrasta, Dakbangla). The noise pollution level (Lnp) in mixed areas varied from 92.77 dB (A) to 104.74 dB(A) on working days and 86.9 dB(A) to 105.5 dB(A) on holidays. On working days, the highest Leq was observed 92.65 ± 4.15 dB(A) in Sonadanga (mixed area), whereas the lowest was 85.13 ± 2.83 dB(A) in Dakbangla (commercial area). However, on holidays the highest level of Leq was found 90.41 ± 2.25 dB(A) in Sonadanga, while the lowest levels were 80.43 ± 3.20 dB(A) in Dakbangla. One-way ANOVA with LSD post-hoc test results illustrated that on working days there was a significant difference between the noise pollution levels (NPL) in different shifts of day time (F = 8.412, p < .05). The respondents of the study area addressed that they were the most affected by annoyance (70%), headache (62%), and hearing loss (46%) due to regular exposure to the traffic noise. Therefore, it is recommended to enhance awareness regarding the cause and effect of noise pollution among the noise producers and oppressed people. Subsequently, administrative measures have to take to attenuate noise pollution and indemnify the quality health of the citizens.


2020 ◽  
Vol 2 (2) ◽  
pp. 149-165

Brunei is seeing a proliferation of bottled companies established in the country in the last decade, driven by cheap water supplies, easily available water filtering systems and demand by the public. This research found 16 ‘companies,’ ‘producing’ and distributing over 34 brands of bottled waters in the country. Since bottled water industry is ‘popular,’ it is necessary to understand how the industry is being monitored and regulated by the government as it involved products consumed by the public. Since most of the bottled water companies use water drawn from the pipes supplied by the government, it is also important to understand how the government is protecting, monitoring and regulating this valuable resource from exploitation. This paper is a preliminary research on the bottled water industry in Brunei Darussalam.


2005 ◽  
Vol 5 (2) ◽  
pp. 107-113
Author(s):  
F. Zuleta ◽  
A. Merlano ◽  
A. Alvarez ◽  
M. Montoya ◽  
E. Restrepo

A common characteristic of water utility and wastewater companies in developing countries is management problems and limited commercial vocation. In the biggest Latin American cities there is a level of infrastructure enough for providing a substantially better service than the one currently supplied to their badly served customers. For years decisions have moved between two extremes: public management – usually corrupted with playing politics and inefficiency problems, and privatization – sharply criticized by many, and which has shown tendencies to inequality that leave it far away from earning panacea status. This paper is intended to expose the advantages of a novel model in which a state-run company with commercial management problems, the EAAB, solves its limitations by keeping the ownership of its assets and successfully incorporating the participation of better practices from other specialized operators, one of which is a state-owned player, EEPPM. This scheme demonstrates how the service indicators of a system serving eight million inhabitants in the Colombian capital improved significantly with state-owned assets and private participation, without giving in to privatization pressures or stagnating in the usual inefficiency typical of public management in developing countries. This is proposed as a replicable experience that can be used in medium and large cities in other countries with similar management problems, with certain adjustments to fit the solution to the specific cases. This is also a practical case for conducting a comparison of competitiveness within a city, of interest for regulatory entities and investigators on the potential of comparative efficiency in a traditionally monopolistic industry.


2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Peter Hammond ◽  
Michael Suttie ◽  
Vaughan T. Lewis ◽  
Ashley P. Smith ◽  
Andrew C. Singer

AbstractMonitoring and regulating discharges of wastewater pollution in water bodies in England is the duty of the Environment Agency. Identification and reporting of pollution events from wastewater treatment plants is the duty of operators. Nevertheless, in 2018, over 400 sewage pollution incidents in England were reported by the public. We present novel pollution event reporting methodologies to identify likely untreated sewage spills from wastewater treatment plants. Daily effluent flow patterns at two wastewater treatment plants were supplemented by operator-reported incidents of untreated sewage discharges. Using machine learning, known spill events served as training data. The probability of correctly classifying a randomly selected pair of ‘spill’ and ‘no-spill’ effluent patterns was above 96%. Of 7160 days without operator-reported spills, 926 were classified as involving a ‘spill’. The analysis also suggests that both wastewater treatment plants made non-compliant discharges of untreated sewage between 2009 and 2020. This proof-of-principle use of machine learning to detect untreated wastewater discharges can help water companies identify malfunctioning treatment plants and inform agencies of unsatisfactory regulatory oversight. Real-time, open access flow and alarm data and analytical approaches will empower professional and citizen scientific scrutiny of the frequency and impact of untreated wastewater discharges, particularly those unreported by operators.


2021 ◽  
Vol 11 (7) ◽  
Author(s):  
H. J. Surendra ◽  
B. T. Suresh ◽  
T. D. Ullas ◽  
T. Vinayak ◽  
Vinay P. Hegde

AbstractWater companies and their consumers affected with leakages in water distribution system worldwide. This has attracted many practitioner’s attention as well as researchers over the past years. Selected study area suffers from water losses of about 10 to 15% which accounts to loss of about 9 to 9.75 million liters per month. The present study was under taken to understand, analyze and evaluate the losses and suggest preventive measures of wrapping and repair clamping for control of these losses. The assessment of water losses is done through comparative analysis of data using Microsoft Excel software. Population forecasting is done in context of assessing the amount of water lost that can be prevented in future decades, adjusting to increased water demand and losses. For better efficiency of the suggested methods, experimental analysis was carried out on a reduced scale model of a single stretched pipeline. Cost estimation of the preventive measures was done by obtaining information about the materials used by trading professionals.


2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Md Azizul Bari ◽  
Lubna Alam ◽  
Md. Mahmudul Alam ◽  
Labonnah Farzana Rahman ◽  
Joy Jacqueline Pereira
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