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Assessing the water metabolism of coastal urban areas based on the water mass balance framework across time periods: A case study of Cape Town, South Africa
被引:0
|作者:
Wang, Ziyu
[1
,2
]
Lu, Zehua
[2
]
Ma, Jiaqi
[2
]
Huang, Guohe
[3
]
An, Chunjiang
[1
]
机构:
[1] Concordia Univ, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G 1M8, Canada
[2] Univ Victoria, Dept Civil Engn, POB 1700 STN CSC, Victoria, BC V8W 2Y2, Canada
[3] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada
基金:
加拿大自然科学与工程研究理事会;
关键词:
Coastal cities;
Water metabolism;
Water-energy nexus;
Water mass balance;
Water efficiency;
ENERGY;
NEXUS;
PERSPECTIVE;
D O I:
10.1016/j.ocecoaman.2024.107434
中图分类号:
P7 [海洋学];
学科分类号:
0707 ;
摘要:
The status of water resources in many coastal cities has become increasingly fragile. In a changing climate, the amount and intensity of rainfall have continued to decline, causing some coastal regions to experience severe drought and deteriorated water supply situation. This article presents a comprehensive study of the urban water metabolism of Cape Town, South Africa. A water mass balance framework was utilized to examine the city's water system across four distinct periods. In addition, the water-energy nexus before and after the drought crisis was evaluated. The key findings include a large amount of surface runoff in the Cape Town area that was not utilized before the drought crisis, resulting in a natural loss potential of water supply that is 2.54 times greater than water used for supply systems. During the drought, per capita water consumption dropped by a substantial 25%; at the same time, the total rate of water loss experienced a substantial decrease of approximately 21%. Since the pandemic, Cape Town's water resources policy has shifted to diversifying water sources, and the use of wastewater and natural water losses will be optimized by more than 32% in 2040 to achieve a water-sensitive city. Future research should explore the temporal and spatial dynamics of urban water flows, the impact of socioeconomic factors, and the integration of water system optimization models for enhanced urban water management.
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