Regression Tree (RT) forecasting models are widely used in short-term demand forecasting. Likewise, Self-Organizing Maps (SOM) models are known for their ability to cluster and organize unlabeled big data. Herein, a combination of these two Machine Learning (ML) techniques is proposed and compared to a standalone RT and a Seasonal Autoregressive Integrated Moving Average (SARIMA) models, in forecasting

Future changes in river bed were predicted under the assumption that flow velocity of past and changes in flow rate at upstream river due to construction of large-scale artificial structures downstream occur in the future. Therefore, the long-term runoff volume from the downstream part of Hosan Stream was estimated using the SSARR (Stream Synthesis and Reservoir Regulation Model). Changes in the river

Smart water meter, which incorporates IoT (Internet of Things) technology, is receiving high attention due to recent development of information and communication technology. If traditional mechanical water meters are replaced by electronic ultrasonic water meters, micro flow rate can be measured and the measurement uncertainty can be improved due to the age of use. This enables smart metering such

Leaks in resource transmission pipelines is a growing concern for the water transmission industry. This creates a need to prevent the threat of leaks and minimize their damages through extensive research in leak detection technology. This research work provides a thorough investigation into the history of leak detection in pipelines by surveying the web of knowledge database and visualizing the outputs

Considering fundamental hydraulics, fluid dynamics, and experimental analysis should be analyzed simultaneously with mathematical methods due to the effects of hydraulic properties such as meandering form, sediment, and so on. In this research, to reveal the effects of hydraulic characteristics and longitudinal and transverse coefficients based on the two-dimensional advection-dispersion equation,

A discolouration concept is proposed describing simultaneous pipe wall material accumulation and mobilisation processes that define discolouration in drinking water distribution systems, one of the biggest causes of customer dissatisfaction. Validation of these mathematical forms is presented. The model formulation was shown to maintain the mobilisation functionality of previous validated shear-stress-dependant

Many urban cities in Southeast Asia are vulnerable to climate change. However, these cities are unable to take effective countermeasures to address vulnerabilities and adaptation due to insufficient data for flood analysis. Two important inputs required in flood analysis are high accuracy Digital Elevation Model (DEM), and long term rainfall record. This paper presents an innovative and cost-effective

It is important to manage leaks in water distribution systems by smart water technologies. In order to reduce the water loss, researches on the main factors of water pipe network affecting non-revenue water (NRW) are being actively carried out. In recent years, research has been conducted to estimate NRW using statistical analysis techniques such as Artificial Neural Network (ANN) and Principle Component

Most pattern classification systems are usually developed based on the training of historical data, and as a result, the performance of these models relies heavily on the amount of collected information. However, in many cases, such data collection process is relatively costly, which eventually limits the efficiency as well as the widespread implementation of the final developed model. In this context

This study demonstrates the applications of two physical-based early warning methods for rainfall-induced shallow landslide and compare their relative performance. One method is rainfall threshold-based method and the other method is by real-time simulation. The former establishes landslide threshold in advance using 50 historical rainfall events, in conjunction with physical-based rainfall-triggered

Conventional water metering has a tendency of being unreliable, inaccurate, and a source of dispute and disquiet among customers, and hence it is considered to be one primary reason why water service providers perform poorly and have very low revenue collection figures. The result of this poor performance spirals into poor management, ineffective maintenance, inaccurate billing and high non-revenue

The world is becoming smarter and faster than ever before. Smart technologies are helping improve the quality of human life in all aspects, e.g., the way humans are transported (“smart mobility”), the way we live (“smart homes”), the way we communicate with each other (“smart communications”), the way we manage our health (“smart health”), and the way we are educated (“smart education”), among others

Extreme weather and climate events such as super typhoons and unprecedented recorded high intensity rainfall events have increased in recent years due to climate change. Such extreme weather events generate floods and cause loss of life and property. Therefore, efficient strategies and measures for flood mitigation and prevention are essential. Computer-aided techniques can increase the speed of emergency

Water mains, especially old pipelines, are consistently threatened by the formation of leaks. Leaks inherit increased direct and indirect costs and impacts on various levels such as the economic field and the environmental level. Recently, financially capable municipalities are testing acoustic early detection systems that utilize wireless noise loggers. Noise loggers would be distributed throughout

Water play important role in industrial operation of food processing, such ingredient of the product, operation of equipment such as boilers, cooling towers, cleaning purposes to ensure a sufficient level of hygiene and food safety etc. Rwanda is rapidly developing and this development is associated with increase in population, urbanization, industrialization, modification of agricultural practices

Smart solutions for water quality monitoring are gaining importance with advancement in communication technology. This paper presents a detailed overview of recent works carried out in the field of smart water quality monitoring. Also, a power efficient, simpler solution for in-pipe water quality monitoring based on Internet of Things technology is presented. The model developed is used for testing

In Singapore, the implementation of a Smart Water Grid system supports the Public Utilities Board (PUB)’s mission to supply good water 24/7 to its customers. With sensors and analytic tools deployed island-wide to provide a real-time monitoring and decision support system, the Smart Water Grid system enables PUB to manage the water supply network efficiently, ensuring that all Singaporeans will continue

Future water shortages require immediate action on development of resources, reduction of demand and higher efficiency in treatment and transmission. Future flood risk management requires immediate action in risk assessment, defence and alleviation systems, forecasting and warning systems and institutional and governance measures. Technology has been revolutionized over recent years and now, matured

Being a small low-lying island nation, Singapore has a high density population, recreational and industrial facilities along the coast. It is thus highly vulnerable to weather extremes including storm surges. Strong sea level surges due to the northeast monsoon when coinciding with spring tides may lead to coastal floods in the southwest regions of the South China Sea including Singapore Strait, with

The seriousness of water related issues is increasing due to regional imbalances of water use and damages from water related disasters. Various technologies are being applied to resolve water related issues. Recently, interest in SWM, water management methods converging with ICT, is increasing. K-water, as a Korean government owned corporation, suggested SWMI as a new paradigm to resolve water related