scholarly journals Safety Assessment of Urban Water Metabolism Based on PSR Framework—— Taking Tianjin City as an Example

Author(s):  
Jin Xu ◽  
Binke Li ◽  
Zhihao Yu
2016 ◽  
Vol 36 (22) ◽  
Author(s):  
黄初龙 HUANG Chulong ◽  
于昌平 YU Changping ◽  
高兵 GAO Bing ◽  
黄云凤 HUANG Yunfeng

2021 ◽  
Vol 117 (5/6) ◽  
Author(s):  
Ffion Atkins ◽  
Tyrel Flügel ◽  
Rui Hugman

To improve its resilience to increasing climatic uncertainty, the City of Cape Town (the City) aims to become a water sensitive city by 2040. To undertake this challenge, a means to measure progress is needed that quantifies the urban water systems at a scale that enables a whole-of-system approach to water management. Using an urban water metabolism framework, we (1) provide a first city-scale quantification of the urban water cycle integrating its natural and anthropogenic flows, and (2) assess alternative water sources (indicated in the New Water Programme) and whether they support the City towards becoming water sensitive. We employ a spatially explicit method with particular consideration to apply this analysis to other African or Global South cities. At the time of study, centralised potable water demand by the City amounted to 325 gigalitres per annum, 99% of which was supplied externally from surface storage, and the remaining ~1% internally from groundwater storage (Atlantis aquifer). Within the City’s boundary, runoff, wastewater effluent and groundwater represent significant internal resources which could, in theory, improve supply efficiency and internalisation as well as hydrological performance. For the practical use of alternative resources throughout the urban landscape, spatially explicit insight is required regarding the seasonality of runoff, local groundwater storage capacity and the quality of water as it is conveyed through the complex urban landscape. We suggest further research to develop metrics of urban water resilience and equity, both of which are important in a Global South context.


2018 ◽  
Vol 137 ◽  
pp. 395-406 ◽  
Author(s):  
Marguerite A. Renouf ◽  
Steven J. Kenway ◽  
Ka Leung Lam ◽  
Tony Weber ◽  
Estelle Roux ◽  
...  

2019 ◽  
Vol 27 (5) ◽  
pp. 4582-4597 ◽  
Author(s):  
Oriana Landa-Cansigno ◽  
Kourosh Behzadian ◽  
Diego I. Davila-Cano ◽  
Luiza C. Campos

Abstract This paper evaluates the metabolism-based performance of a number of centralised and decentralised water reuse strategies and their impact on integrated urban water systems (UWS) based on the nexus of water-energy-pollution. The performance assessment is based on a comprehensive and quantitative framework of urban water metabolism developed for integrated UWS over a long-term planning horizon. UWS performance is quantified based on the tracking down of mass balance flows/fluxes of water, energy, materials, costs, pollutants, and other environmental impacts using the WaterMet2 tool. The assessment framework is defined as a set of key performance indicators (KPIs) within the context of the water-energy-pollution nexus. The strategies comprise six decentralised water reuse configurations (greywater or domestic wastewater) and three centralised ones, all within three proportions of adoption by domestic users (i.e. 20, 50, and 100%). This methodology was demonstrated in the real-world case study of San Francisco del Rincon and Purisima del Rincon cities in Mexico. The results indicate that decentralised water reuse strategies using domestic wastewater can provide the best performance in the UWS with respect to water conservation, green house gas (GHG) emissions, and eutrophication indicators, while energy saving is almost negligible. On the other hand, centralised strategies can achieve the best performance for energy saving among the water reuse strategies. The results also show metabolism performance assessment in a complex system such as integrated UWS can reveal the magnitude of the interactions between the nexus elements (i.e. water, energy, and pollution). In addition, it can also reveal any unexpected influences of these elements that might exist between the UWS components and overall system.


Cities ◽  
2017 ◽  
Vol 60 ◽  
pp. 13-27 ◽  
Author(s):  
S. Serrao-Neumann ◽  
M. Renouf ◽  
S.J. Kenway ◽  
D. Low Choy

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