Spatio-topological network analysis of hydrological infrastructure as a decision support tool for flood mitigation in coastal mega-cities
Bibliographic Data
| ID | 21247014 |
|---|---|
| Authors | Robert Ogie (0000-0002-6476-2309, University of Wollongong, corresponding author), Tomas Holderness (University of Wollongong), Michelle Dunbar (University of Wollongong), Etienne Turpin (University of Wollongong) |
| Year | 2017 |
| Volume | 44 |
| Issue | 4 |
| Pages | 718-739 |
| Publication date | 2017-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0265813516637608 |
| OpenAlex | W2331307844 |
| Language | EN |
| Citations received | 5 |
| References cited | 41 |
Hydrological infrastructure components such as pumps, floodgates, and flood gauges are invaluable assets for mitigating flooding, which threatens millions of lives and damages property worth billions of dollars in coastal mega-cities around the world. By improving the understanding of how these hydrological infrastructure components are both spatially and topologically connected through waterways (rivers, canals, streams, etc.) within coastal mega-cities, more precise decisions can be made regarding the most appropriate hydrological infrastructure components required to mitigate flooding during emergency conditions. This paper explores the use of graph theory to create a spatio-topological model of a real world hydrological infrastructure network for one of the most representative coastal mega-cities—Jakarta, Indonesia. The network is modeled as a directed multigraph, with hydrological infrastructure represented as network nodes and waterways as edges. The article demonstrates how the network model can be used as a real-time decision support tool for responding to flooding events by alerting decision makers to the occurrence of rising water levels in any given area and, suggesting the most appropriate infrastructure components to engage in order to prevent a given area from flooding
Business · Climate change · Coastal flood · Damages · Decision support system · Environmental planning · Environmental resource management · Flood mitigation · Flood myth · Geography · Mega · Network analysis · Computer Science · Engineering · Environmental Science · Flood Risk Assessment and Management · Geographic Information Systems Studies · Land Use and Ecosystem Services · Geology
Optimal placement of water-level sensors to facilitate data-driven management of hydrological infrastructure assets in coastal mega-cities of developing nations
Assessing the vulnerability of pumping stations to trash blockage in coastal mega-cities of developing nations
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction
Analyzing the topology characteristic and effectiveness of the China city network
Anomalous human activity fluctuations from digital trace data signal flood inundation status
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,56 |
| Citation span | 2017 - 2022 (6) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |