scholarly journals Introducing an economic agricultural water distribution in a hyper-arid region: a case study in Iran

2021 ◽  
Author(s):  
Mehdi Yaltaghian Khiabani ◽  
Seied Mehdy Hashemy Shahdan ◽  
Yousef Hassani ◽  
Jose M. Maestre
Keyword(s):  
Distribution System ◽  
Water Distribution ◽  
Economic Value ◽  
Water Shortage ◽  
Agricultural Water ◽  
Water Losses ◽  
Irrigation Network ◽  
Economic Strategies ◽  
Operational Management ◽  
Positive Mathematical Programming

Abstract Operational management of agricultural water based on an economic perspective was investigated as a sustainable approach in water shortage periods. Accordingly, an automatic water distribution system was coupled with the Positive Mathematical Programming economic model for a sustainable agricultural water operation in the Roodasht irrigation network, Iran. Operational management was carried out based on the economic value of water in each irrigated unit. According to the results, the existing operating system was able to supply 71 and 22% of farmers’ water requirements under normal and water shortage conditions, respectively. However, employing the proposed automated operational-economic approach reduced water consumption by 14.3%, while maintaining the cultivation area by 11% and increasing farmers’ net profit to 840,000 USD under water scarcity. The economic operation can reduce water losses, implement economic strategies in those districts without water marketing mechanisms, and provide sustainable management of limited water resources in hyper-arid regions.

scholarly journals Economic design of alternative system to reduce the water distribution losses for sustainability

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
H. J. Surendra ◽  
B. T. Suresh ◽  
T. D. Ullas ◽  
T. Vinayak ◽  
Vinay P. Hegde
Keyword(s):  
Cost Estimation ◽  
Distribution System ◽  
Water Distribution ◽  
Preventive Measures ◽  
Scale Model ◽  
Microsoft Excel ◽  
Water Losses ◽  
Population Forecasting ◽  
Water Companies ◽  
Materials Used

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.

DETERMINANTS OF NON-REVENUE WATER

2021 ◽  
Vol 6 (1) ◽  
pp. 642
Author(s):  
Haslinda Ab Malek ◽  
Mohamad Hafizi Zakaria ◽  
Muhammad Luqman Zulkifli ◽  
Nur Farahin Roslan
Keyword(s):  
Water Distribution ◽  
Water System ◽  
Multiple Linear Regression Model ◽  
Water Shortage ◽  
Water Losses ◽  
Efficient Management ◽  
The People ◽  
Water Plant ◽  
Production Quantity ◽  
Non Revenue Water

Water is one of the most essential needs in human daily life. Water losses or Non-Revenue Water (NRW) refers to the treated water that has been produced from water plant which did not reach to the customer. This waste of water has caused the company to suffer losses and hence, burdens the people with increasing water tariff. Moreover, it becomes one of the challenges for commercial water system management because the water company must fulfil the demand from the society which keep increasing day by day. In addition, the demand for water is increasing, as the population is growing. Despite having the rainfall throughout the year in Malaysia, many cities are experiencing water shortage and frequent water supply disruptions. Therefore, efficient management of water distribution is required to minimise the water losses and to make sure the sustainability of water reserve for a long period. This study focuses on identifying the significant factors that influence the Non-Revenue Water and modelling the data using Multiple Linear Regression Model. The sample size used in this study were 212 observations and the variables involved were Length of Connection, Number of Connection, Production Quantity, Consumption Quantity and Non-Revenue Water. It is found that the variables of Number of Connection, Consumption Quantity and Production Quantity were significant to Non-Revenue Water whereas the variable of Length of Connection was not significant. It is hoped that the result from this study can be used by the water authority company in improving the water distribution and thus reduce water losses and cost.

scholarly journals Integrating water distribution system efficiency into the water conservation strategy for California: a Los Angeles perspective

Water Policy ◽  
2017 ◽  
Vol 19 (6) ◽  
pp. 1030-1048 ◽  
Author(s):  
Kartiki S. Naik ◽  
Madelyn Glickfeld
Keyword(s):  
Water Management ◽  
Los Angeles ◽  
Water Loss ◽  
Water Conservation ◽  
Distribution System ◽  
Water Distribution ◽  
Conservation Strategy ◽  
Water Losses ◽  
High Data ◽  
Distribution Efficiency

Abstract Improving water management in California requires a transition from imported to local water resources used efficiently. To assess this transitional capacity of water retailers in metropolitan Los Angeles County, we focused on a key water management metric: the water distribution efficiency. We traced the evolution of water loss reduction policy and practices globally with emphasis on California. California Senate Bills 1420 and 555 mandate annual water auditing and reporting for urban water suppliers. We surveyed and evaluated ten water retailers' approaches to monitor and reduce losses. Four of ten sampled water retailers monitored real losses, averaging 3–4% of total water supplied. Only three of ten sampled water retailers employed leak detection technology. Of the six sampled retailers with annual pipe replacement strategies, four retailers followed inadequate rehabilitation schedules. Most of the sampled retailers monitor water losses in percent, which misrepresents the actual volume. While a necessary step, California water loss legislation relies on the American Water Works Association Water Audit software. Verifying reported data for randomly selected retailers can ensure high data quality. Small retailers are exempt from mandatory water loss monitoring, and they need state support and resource pooling to improve their water distribution efficiency.

scholarly journals A Six Sigma Approach to Water Savings

2017 ◽  
Vol 6 (2) ◽  
pp. 98
Author(s):  
Ryland Cairns ◽  
Michael Macpherson
Keyword(s):  
Six Sigma ◽  
Distribution System ◽  
Water Distribution ◽  
Demand Management ◽  
Distribution Networks ◽  
Water Losses ◽  
Water Savings ◽  
Wide Range ◽  
Six Sigma Approach

The purpose of this paper is to explore the potential of a six sigma approach to reducing water losses through a combination of water efficiency and leak detection on a private distribution system. The paper takes the form of a case study that investigates the implementation of water reduction strategy across an estate with 26 miles of potable water pipe and over 200 facilities. This incorporates methods developed in the water industry such as water loss reduction and water demand management. The paper demonstrates that large water savings could be made through adoption of a six sigma approach. The approach has the potential to be applied to a wide range of situations including sites with limited technology. This case study provides a useful source for Facilities Managers involved in the management of utilities to determine suitable water saving approaches and strategies for large estates with private water distribution networks.

Use of district metered areas coupled with pressure optimisation to reduce leakage

2008 ◽  
Vol 8 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Bambos Charalambous
Keyword(s):  
Water Loss ◽  
Distribution Systems ◽  
Water Distribution ◽  
Task Force ◽  
Early Stage ◽  
Supply And Demand ◽  
Integrated Approach ◽  
Water Shortage ◽  
Climatic Conditions ◽  
Water Losses

Water shortage and the future threat posed by changing climatic conditions has intensified the need for the development of appropriate water management approaches, which aim at keeping a balance between water supply and demand. Losses from water distribution systems must be of concern to every water utility, especially in areas of our planet where water is found in very limited quantities. It is therefore imperative that water utilities apply simple and effective methodologies in accounting for water losses from their transmission and distribution systems. The Water Loss Task Force (WLTF) of the International Water Association (IWA) has established a water audit method, which traces water from its source right through the system and derives at the end the revenue and non-revenue component, in other words is a methodology for water accountability and an integrated approach to water loss control. The Water Board of Lemesos, Cyprus recognised at a very early stage the importance and significance of establishing a proper water audit system and has over the years developed its infrastructure in such a way in order to be able to account efficiently and accurately for all water produced. Reduction and control of water loss was achieved through the application of a holistic strategy based on the approach developed by the WLTF of the IWA. Integral part of this approach is the establishment and operation of DMAs.

scholarly journals Prediction model for the leakage rate in a water distribution system

2021 ◽  
Author(s):  
Burak Kizilöz
Keyword(s):  
Transmission Lines ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Leakage Rate ◽  
Pressure Effects ◽  
Model Accuracy ◽  
Water Losses ◽  
Modelling Studies ◽  
Artificial Neural Network Ann

Abstract Leakages cause real losses in water distribution systems (WDSs) from transmission lines, storage tanks, networks, and service connections. In particular, the amount of leakage increases in aging networks due to pressure effects, resulting in severe water losses. In this study, various artificial neural network (ANN) models are considered for determining monthly leakage rates and the variables that affect leakage. The monthly data, which are standardized by Z-score for the years 2016–2019, are used in these models by selecting four independent variables that affect the leakage rate regarding district metered areas and pressure metered areas in WDSs. The pressure effects are taken into consideration directly as input. The model accuracy is determined by comparing the predicted and measured data. Furthermore, the leakage rates are estimated by directly modelling the actual data with ANNs. Consequently, it is found that the model results after data standardization are somewhat better than the original nonstandardized data model results when 30 neurons are used in a single hidden layer. The reason for the higher accuracy in the standardized case compared with previous modelling studies is that the pressure effect is taken into consideration. The suggested models improve the model accuracy, and hence, the methodology of this paper supports an improved pressure management system and leakage reduction.

scholarly journals Impact of monitoring on the mean time to repair of the water supply network

2018 ◽  
Vol 44 ◽  
pp. 00101
Author(s):  
Magdalena Łój-Pilch ◽  
Anita Zakrzewska
Keyword(s):  
Water Supply ◽  
Distribution System ◽  
Water Distribution ◽  
Repair Time ◽  
Supply Network ◽  
Water Losses ◽  
Water Supply Network ◽  
Quality Of Water ◽  
Before And After

The introduction of monitoring to a water supply network results in reducing its failure rate, increasing its reliability as well as improving the quality of water supplied to consumers, reducing water losses and increasing work safety in a water distribution system. Monitoring enables detection of leakages that could go unnoticed without this system, facilitates detection of leakages and location of failures, i.e. it shortens the repair time — or rather its component — the awaiting-repair time. This paper presents the results of the reliability analysis for a city located in the Upper Silesian Industrial Region before and after the implementation of monitoring to the water supply network.

A Practical Approach for Prioritizing The Replacement of Water Pipes in Mexico City

2010 ◽  
Vol 1278 ◽  
Author(s):  
V. Tzatchkov ◽  
M. P. Hansen ◽  
H. Ramírez
Keyword(s):  
Mexico City ◽  
Distribution System ◽  
Water Distribution ◽  
Water Pressure ◽  
Distribution Networks ◽  
Practical Approach ◽  
List Type ◽  
Water Losses ◽  
One Year ◽  
The City

AbstractIn Mexico City, one of the largest cities in the world, large losses occur in the drinking water distribution system, mainly due to the age of the pipes and the type of materials used in water delivery to the end user. In the past, most of the water distribution networks in the city were built with asbestos-cement pipes. Currently, policies dictate that they be replaced by polyethylene pipes. While the size of the city leads to limited financial resources, it is important to prioritize pipe replacement; therefore, a practical approach based on Deterioration Point Allocation (DPA) is proposed to define the priority level. In the next set of factors, each is represented by appropriate indicators:1. Failures in pipes and service connectionsa. Number of failures (leaks) in pipes repaired in one year for every 100 km of pipeline.b. Number of failures (leaks) repaired in one year per 1000 service connections.c. Spatial concentration of failures (leaks) in a pipe2. Annual pipe and service connections rehabilitation or replacement level per year.3. Operating parameters of the network: intermittent water supply, water pressure, and water losses4. Deterioration status of pipes and service connections5. Land subsidenceA score and a weight are assigned to each factor. The score depends on the values of the indicator, and the weight on the relative importance of the factor. The final score is used to prioritize the replacement and it is calculated by adding up the scores of each factor.Considering that available information is incomplete and unstructured, two levels of use are proposed: basic (with available data, using MS Excel) and advanced (using a GIS).

scholarly journals Water Demand Forecasting using Deep Learning in IoT Enabled Water Distribution Network

2020 ◽  
Vol 15 (6) ◽  
Author(s):  
Lakshmi Kanthan Narayanan ◽  
Suresh Sankaranarayanan ◽  
Joel J P C Rodrigues ◽  
Sergei Kozlov
Keyword(s):  
Deep Learning ◽  
Water Demand ◽  
Distribution System ◽  
Water Distribution ◽  
Short Term Memory ◽  
Water Distribution System ◽  
Distribution Network ◽  
Demand Forecasting ◽  
Water Distribution Network ◽  
Water Losses

Most of the water losses occur during water distribution in pipelines during transportation. In order to eradicate the losses, an “IoT based water distribution system” integrated with “Fog and Cloud Computing" proposed for water distribution and underground health monitoring of pipes. For developing an effective water distribution system based on Internet of Things (IoT), the demand of the consumer should be analysed. So, towards predicting the water demand for consumers, Deep learning methodology called Long Short-Term Memory (LSTM) is compared with traditional Time Series methodology called Auto Regressive Integrated Moving Average (ARIMA) in terms of error and accuracy. Now based on demand prediction with higher accuracy, an IoT integrated “Water Distribution Network (WDN)” is designed using hydraulic engineering. This WDN design will ensure minimal losses during transportation and quality of water to the consumers. This will lead to development of a smart system for water distribution.

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