Leakage estimation in water networks based on two categories of night-time users: a case study of a developing country network

2013 ◽  
Vol 14 (2) ◽  
pp. 329-336 ◽  
Author(s):  
P. K. Amoatey ◽  
R. Minke ◽  
H. Steinmetz
Keyword(s):  
Demographic Characteristics ◽  
Total Water ◽  
Night Time ◽  
Water Utility ◽  
Active Population ◽  
Water Closet ◽  
Minimum Night Flow ◽  
Social Habits ◽  
District Metered Area

The proportion of total water loss that is due to leakages and bursts in a district metered area in the Baifikrom supply network in the Central region of Ghana was investigated using the minimum night flow method. Legitimate customer night use was estimated specifically for the study area based on social habits, active population at night and demographic characteristics of two categories of night-time users identified – water closet users and ventilated improved pits users. It was estimated that 12% of the daily supply volume was lost through leakage indicating that apparent losses constitute 28%. This suggests that the water utility has to investigate the components of apparent losses and plan measures to reduce them in addition to reducing leakage.

Impact of the divorce experience on the marital and family mindsets

2018 ◽  
pp. 88-96
Author(s):  
Елена Лактюхина ◽  
Elena Laktyukhina ◽  
Георгий Антонов ◽  
Georgy Antonov
Keyword(s):  
Comparative Analysis ◽  
Demographic Characteristics ◽  
Representative Sampling ◽  
First Marriage ◽  
Active Population ◽  
Volgograd Region ◽  
The Social ◽  
Marriage Stability ◽  
Main Factors ◽  
The Individual

The article presents a comparative analysis of marital and family mindsets of two categories of the demographically active population of modern Russia: (1) individuals that have no experience of a divorce and (2) those who have already experienced one or more official termination of a marriage. The empirical base of the analysis is the data of the author’s questionnaire survey conducted by representative sampling in Volgograd and Volgograd Region in 2015–2016. The analysis was made on the following basic empiric indicators: optimal (from the viewpoint of the respondents) age for the first marriage, frequency of mentioning marital and family statuses as the respondents describe their own social and demographic “portrait”, legitimate causes of a divorce and a number of others. It is found that, in the case of sufficiently strong traditional marital and family mindsets, perception of marital norms is adjusted, if an “abnormal” event (such as a divorce) occurs in the individual’s life course. At the same time, perception of the marriage stability is less variable and does not depend on the social and demographic characteristics of the respondents, including the presence/absence of a marriage termination experience. The “strongest” factor that affects the change of the marital and family mindsets is age. With age (and, consequently, experience accumulation), importance of the majority of main factors capable of preventing the individual from a divorce decreases and, therefore, the risk of such event increases.

From Community to Public Familiarity: Neighborhood, Sociability, and Belonging in the Neoliberal City

2021 ◽  
pp. 107808742110215
Author(s):  
Felipe Link ◽  
Andrés Señoret ◽  
Felipe Valenzuela
Keyword(s):  
Social Relations ◽  
Sense Of Belonging ◽  
Regression Models ◽  
Secondary Data ◽  
Critical Factor ◽  
Urban Morphology ◽  
Demographic Characteristics ◽  
Logistic Regression Models ◽  
Pedestrian Space

Current urban neoliberalism processes have shaped and changed contemporary cities, including the local scale’s built environment and social relations. This article aims to study how such transformations affect local sociability by analyzing the effects of neighborhoods’ morphology and socio-demographic characteristics on different forms of interactions and how they affect the sense of belonging. Taking the Metropolitan Area of Santiago, Chile, as a case study, we gathered secondary data on urban morphology and surveyed ten neighborhoods to measure sociability patterns. The results obtained from multilevel logistic regression models show that time living in the neighborhood and public pedestrian space is the most critical factor affecting neighborhood sociability. Moreover, instead of local ties, public familiarity is the form of sociability with the most substantial effects on a sense of belonging. We conclude that recent neighborhoods, formed by neoliberal urbanization, tend to discourage neighborhood sociability and a sense of belonging.

Energy Benchmarking of Water and Wastewater Treatment, Distribution and Collection: A Case Study of Austin Water Utility

2013 ◽  
Author(s):  
Jill B. Kjellsson ◽  
David Greene ◽  
Raj Bhattarai ◽  
Michael E. Webber
Keyword(s):  
Water Distribution ◽  
Energy Intensity ◽  
Potable Water ◽  
Energy Savings ◽  
Operating Cost ◽  
Electric Energy ◽  
Water And Wastewater Treatment ◽  
Water Utility ◽  
Water And Wastewater

Nationally, 4% of electricity usage goes towards moving and treating water and wastewater. The energy intensity of the water and wastewater utility sector is affected by many factors including water source, water quality, and the distance and elevation that water must be transported. Furthermore, energy accounts for 10% or more of a utility’s total operating cost, suggesting that energy savings can account for significant cost savings. Better knowledge of where and when energy is used could support strategic energy interventions and reveal opportunities for efficiency. Accordingly, this investigation quantifies energy intensity by process and type, including electricity and natural gas, and explores the time-varying nature of electric energy consumption for potable water distribution using the Austin Water Utility (AWU) in Austin, Texas as a case study. This research found that most of energy consumed by the AWU is for pumping throughout the distribution network (57%) and at lift stations (10%) while potable water treatment accounts for the least (5%). Though the focus is site specific, the methodology shown herein can be applied to other utilities with sufficient data.

scholarly journals HYBRID GRIDS ANALYSIS WITH RENEWABLE ENERGY AND THERMAL ENERGY FOR STREET LIGHT -A CASE STUDY

2018 ◽  
Vol 6 (2) ◽  
pp. 246-254
Author(s):  
Rajeev Ranjan ◽  
Mahesh kr Nagar ◽  
M.Nithin Choudary ◽  
M.K. Paswan ◽  
Manish Kumar
Keyword(s):  
Economic Assessment ◽  
Energy System ◽  
Solar Panel ◽  
Small Scale ◽  
Night Time ◽  
Generator System ◽  
Hybrid Energy ◽  
Dc System ◽  
Planning And Design

This paper presents a techno-economic assessment for a unique Isolated Hybrid Power System (IHPS) design which could be used for remote areas isolated from the grid which also has the capability of being operated as a smart the hybrid energy system considering solar and wind energy sources for the purpose of street lighting. Solar-Wind Street light is an intelligent, small scale, and off grid LED lighting system. The modelling design and simulations were based on Simulations conducted using the Data collected and HOMER Energy Planning and Design software tools. Its components are solar panel, wind generator system (PVC blowers), Dynamo, LDRs, battery, LED light, charge controller. The energy stored in battery during day time due to solar panel, get extracted by LEDs during the night time (because LDRs get activated due to absence of sun light). Wind also charges the batteries due to wind which is used for glowing street light. The advantage of this idea is to avoid daily running cost and make the system purely off-grid. In this prototype, we have used 12V DC system to supply energy to the lights.

Decorporatization of a municipal water utility: A case study from Italy

2019 ◽  
Vol 57 ◽  
pp. 43-47 ◽  
Author(s):  
Loris Landriani ◽  
Luigi Lepore ◽  
Gabriella D'Amore ◽  
Stefano Pozzoli ◽  
Federico Alvino
Keyword(s):  
Water Utility ◽  
Municipal Water

scholarly journals Post-Earthquake Night-Time Light Piecewise (PNLP) Pattern Based on NPP/VIIRS Night-Time Light Data: A Case Study of the 2015 Nepal Earthquake

2020 ◽  
Vol 12 (12) ◽  
pp. 2009 ◽  
Author(s):  
Shengjun Gao ◽  
Yunhao Chen ◽  
Long Liang ◽  
Adu Gong
Keyword(s):  
Infrared Imaging ◽  
Random Noise ◽  
Development Rate ◽  
Night Time ◽  
Nepal Earthquake ◽  
Decomposition Procedure ◽  
Spatiotemporal Changes ◽  
Reconstruction Rate ◽  
2015 Nepal Earthquake

Earthquakes are unpredictable and potentially destructive natural disasters that take a long time to recover from. Monitoring post-earthquake human activity (HA) is of great significance to recovery and reconstruction work. There is a strong correlation between night-time light (NTL) and HA, which aid in the study of spatiotemporal changes in post-earthquake human activities. However, seasonal and noise impact from National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) data greatly limits their application. To tackle these issues, random noise and seasonal fluctuation of NPP/VIIRS from January 2014 to December 2018 is removed by adopting the seasonal-trend decomposition procedure based on loess (STL). Based on the theory of post-earthquake recovery model, a post-earthquake night-time light piecewise (PNLP) pattern is explored by employing the National Polar-Orbiting Partnership Satellite Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) monthly data. PNLP indicators, including pre-earthquake development rate (kp), recovery rate (kr1), reconstruction rate (kr2), development rate (kd), relative reconstruction rate (krp) and loss (S), are defined to describe the PNLP pattern. Furthermore, the 2015 Nepal earthquake is chosen as a case study and the spatiotemporal changes in different areas are analyzed. The results reveal that: (1) STL is an effective algorithm for obtaining HA trend from the time series of denoising NTL; (2) the PNLP pattern, divided into four phases, namely the emergency phase (EP), recovery phase (RP-1), reconstruction phase (RP-2), and development phase (DP), aptly describes the variation in post-earthquake HA; (3) PNLP indicators are capable of evaluating the recovery differences across regions. The main socio-economic factors affecting the PNLP pattern and PNLP indicators are energy source for lighting, type of building, agricultural economy, and human poverty index. Based on the NPP/VIIRS data, the PNLP pattern can reflect the periodical changes of HA after earthquakes and provide an effective means for the analysis and evaluation of post-earthquake recovery and reconstruction.

scholarly journals Minimum Night Flow Analysis and Application of the Fixed and Variable Area Discharges Model for Characterizing Leakage in the Gorino Ferrarese (FE-Italy) District

2020 ◽  
Vol 2 (1) ◽  
pp. 8
Author(s):  
Irene Marzola ◽  
Stefano Alvisi ◽  
Marco Franchini
Keyword(s):  
Time Series ◽  
Distribution Systems ◽  
Water Distribution ◽  
Flow Analysis ◽  
Water Utilities ◽  
Smart Meters ◽  
Minimum Night Flow ◽  
Major Interest ◽  
The Relationship ◽  
District Metered Area

Leakage in water distribution systems is an important issue and of major interest for water utilities. In this study, the Minimum Night Flow (MNF) method to quantify the amount of water lost and the equations representing the relationship between pressure and leakage in power and FAVAD (Fixed and Variable Area Discharge) forms were applied to a District Metered Area (DMA) located in Gorino Ferrarese (FE, Italy) equipped with smart meters. The analysis carried out by exploiting the collected time series of user water consumption, DMA inflow, and pressure highlighted that: (a) the MNF method can lead to significant inaccuracy in leakage estimation in the presence of users with irregular consumptions, when based on literature values, and (b) the estimation of the parameters of the power and FAVAD equation is highly affected by the number and types of observed data used.

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