Smart Water Grid International Conference 2017

This thematic series contains invited extensions of papers presented at Smart Water Grid International Conference 2017 (SWGIC 2017) held at Songdo, Incheon, Korea during Nov. 2nd and 3rd, 2017. The conference theme was "The Nexus between Carbon Mineral Recycling and Smart Water Grid at Circular Economy Period". The papers included here cover a broad range of emerging issues in smart water management, the solution approaches, and their real-world applications.

Experimental and numerical investigations of primary flow patterns and mixing in laboratory meandering channel

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, sed...

Authors: Sung Won Park and Jungkyu Ahn

Citation: Smart Water 2019 4:4

Content type: Research Published on: 10 May 2019
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Overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network

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 f...

Authors: Dong-Eon Kim, Philippe Gourbesville and Shie-Yui Liong

Citation: Smart Water 2019 4:2

Content type: Research Published on: 9 January 2019
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Adaptation of multiple regression analysis to identify effective factors of water losses in water distribution systems

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 (N...

Authors: Dongwoo Jang, Gyewoon Choi and Hyoseon Park

Citation: Smart Water 2019 4:1

Content type: Research Published on: 8 January 2019
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Physical-based rainfall-triggered shallow landslide forecasting

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...

Authors: Yung-Chia Hsu, Yin-Lung Chang, Che-Hao Chang, Jinn-Chuang Yang and Yeou-Koung Tung

Citation: Smart Water 2018 3:3

Content type: Research Published on: 29 October 2018
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Smart Water Grid International Conference 2017

Experimental and numerical investigations of primary flow patterns and mixing in laboratory meandering channel

Overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network

Adaptation of multiple regression analysis to identify effective factors of water losses in water distribution systems

Physical-based rainfall-triggered shallow landslide forecasting