Smart Technologies and Water Supply Planning II

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 8370

Special Issue Editors


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Guest Editor
Institute for Sustainable Industries & Liveable Cities and College of Engineering and Science, Victoria University, Ballarat Road, Footscray, Melbourne, VIC 3011, Australia
Interests: urban water; wastewater and stormwater systems; decentralised systems; hydraulic and hydrology; integrated urban water management; sustainability assessment; water resources; water sensitive urban design
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute for Sustainable Industries & Liveable Cities, Victoria University, Ballarat Rd, Footscray, Melbourne, VIC 3011, Australia
Interests: decentralised and on-site sewerage systems; integrated urban water management; water sensitive urban design; irrigation systems; wastewater recycling; system thinking as applied to the urban water cycle, metabolism of ecologically sensitive subdivision (water, energy and nutrient balances); quantitative microbial risk assessment of alternative urban water supplies, etc.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Urbanisation, population growth and climate change drive the planning of water supply systems. Urban developments are facing a shortage of fresh water resources, yet somewhat perversely, an increase in their wastewater and stormwater generation; adverse impacts on the ecology of the receiving water environment; aging infrastructure; and financial constraints and increase in GHG emissions.

Smart technologies can play an important role in the better planning, design, implementation, operation and maintenance of water supply systems. These technologies may include application of geospatial technologies, including remote sensing; pressure-reducing systems to mitigate potable water mains pipe bursts; maintaining demand-driven pressure in systems; minimising non-revenue water through timely location of leaks; real-time monitoring of systems; application of IoT for water quantity and quality monitoring; use of ITC and control systems; real-time water network analysis for system control; management of rainwater storages for reducing peak runoff rates; and real-time feed back of water consumption and price to customers, alerting customers to hidden (sub surface) water leaks.

The application of smart technologies is also being promoted in water systems for the management of stormwater-harvesting systems; local aquifers to store stormwater (ASR); real-time detection of pathogens using chip-based DNA technology; critical control points to ensure “out of spec water” does not pass onto the next treatment step; and real-time sensors and alert systems for cross-connection in dual reticulation systems in suburbs and on-demand UV systems (i.e., LED-based) to reduce energy use from “under the sink” domestic installations.

Assoc. Prof. Ashok Sharma
Prof. Ted Gardner
Guest Editors

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Keywords

  • water supply systems
  • smart technologies
  • real-time monitoring
  • control system
  • IoT
  • remote sensing

Published Papers (2 papers)

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Research

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21 pages, 1353 KiB  
Article
Water Supply Portfolio Planning and Policy Evaluation under Climate Change: A Case Study of Central Taiwan
by Yen-Chen Huang, Chien-Ming Lee and Yue-Rong Hong
Water 2021, 13(4), 567; https://doi.org/10.3390/w13040567 - 23 Feb 2021
Viewed by 2750
Abstract
The present study examines the optimal water supply portfolio under the impact of climate change constructed by the authors previously. It incorporates feasibility planning for water supply projects, assesses a feasible water supply portfolio for central Taiwan, and uses the shadow price method [...] Read more.
The present study examines the optimal water supply portfolio under the impact of climate change constructed by the authors previously. It incorporates feasibility planning for water supply projects, assesses a feasible water supply portfolio for central Taiwan, and uses the shadow price method to assess the rationality of the compensation policy for transferring agricultural water to ensure water supply security for the industrial sector. The study finds that Changhua and Yunlin have the highest per-unit costs of raw water, and the Nantou region has the highest carbon emission coefficient (carbon footprint) per unit of water produced. The cumulative value (2021–2031) of the water resources policy to reallocate agricultural water to achieve water supply security is about TWD 15.904–31.13 billion. The shadow price of industrial water is about TWD 40.18/cubic meter. Therefore, a compensation price for agricultural water transfer of less than TWD 40.18/cubic meter represents a rational policy. Full article
(This article belongs to the Special Issue Smart Technologies and Water Supply Planning II)
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Review

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17 pages, 1048 KiB  
Review
Development of an Intelligent Urban Water Network System
by Kiran Joseph, Ashok K. Sharma and Rudi van Staden
Water 2022, 14(9), 1320; https://doi.org/10.3390/w14091320 - 19 Apr 2022
Cited by 8 | Viewed by 4946
Abstract
Water and wastewater services have been provided through centralised systems for more than a century. The operational and management approaches of the water systems face challenges induced by population growth, urbanisation, and ageing infrastructure. Recent advancements in water system engineering include the development [...] Read more.
Water and wastewater services have been provided through centralised systems for more than a century. The operational and management approaches of the water systems face challenges induced by population growth, urbanisation, and ageing infrastructure. Recent advancements in water system engineering include the development of intelligent water networks. These intelligent networks address management and operational challenges associated with pressure and flow variations in the water network and it reduces the time for identification of pipe bursts and leakages. Research is required into the development of intelligent water networks to ensure consistent data collection and analysis that can filter and aggregate into actionable events to reduce water leakage, leakage cost, customer disruptions, and damages. Implementation of an intelligent algorithm with an integrated Supervisory Control and Data Acquisition (SCADA) system, high-efficiency smart sensors, and flow meters, including a tracking mechanism, will significantly reduce system management and operational issues and ensure improved service delivery for the community. This paper discusses the history of water systems, traditional water supply systems, need for intelligent water network, and design/development of the intelligent water networks. A framework for the intelligent water network has also been presented in this paper. Full article
(This article belongs to the Special Issue Smart Technologies and Water Supply Planning II)
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