Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139934 - 139934
Published: Nov. 29, 2023
Language: Английский
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139934 - 139934
Published: Nov. 29, 2023
Language: Английский
Water Research, Journal Year: 2023, Volume and Issue: 232, P. 119720 - 119720
Published: Feb. 9, 2023
Language: Английский
Citations
73Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111137 - 111137
Published: Oct. 29, 2023
Urban flooding risks, often overlooked by conventional methods, can be profoundly affected city configurations. However, explainable Artificial Intelligence could provide insights into how urban configurations flooding. This study, taking entered on Shenzhen City, deploys an XGBoost, integrating SHapley Additive exPlanation and Partial Dependency Plots, to assess morphology influences susceptibility. The models strategies presented in this study aimed adapt extreme storms from the perspective of spatial configuration planning. findings underscore varying impact disaster variables flooding, with morphological attributes becoming highly significant during severe inundations. In analysis, mean building volume emerged as a pivotal parameter, SHAP value 0.0107 m contribution ratio 9.70 %. indicates that should optimized minimize risks. It is recommended Mean Building Volume (MBV) maintained within range 1.25 km3 2.5 km3, Standard Deviation (SDBV) kept below 2.814 km3. By harnessing algorithms, offers intricate relationship between forms flood risk, thereby informing development effective adaptation strategies.
Language: Английский
Citations
65Journal of Hydrology, Journal Year: 2023, Volume and Issue: 620, P. 129381 - 129381
Published: March 11, 2023
Language: Английский
Citations
49Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 91, P. 104436 - 104436
Published: Jan. 31, 2023
Language: Английский
Citations
44Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123091 - 123091
Published: Jan. 6, 2025
Language: Английский
Citations
10Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 87, P. 104223 - 104223
Published: Oct. 2, 2022
Language: Английский
Citations
62Water, Journal Year: 2023, Volume and Issue: 15(3), P. 523 - 523
Published: Jan. 28, 2023
Urban flood resilience can critically diminish the negative effects of extreme climatic conditions. In recent decades, green infrastructure has been gaining attention among researchers and authorities in terms its use urban contexts to enhance resilience. This paper tries provide knowledge on how recently approached through infrastructure. To do this, distribution topics interest, authors, sources/regions publication are investigated a systematic review articles. Additionally, methodological approaches typologies examined. Findings show an agglomeration publications developed countries. It was also observed that there is predominance quantitative low connectivity for some hot within this field research (e.g., biodiversity). The most common used discussed. noticeable more than half papers general park/open space) describe rather using technical providing information water flow management characteristics. outcomes discussed give overview latest hotspots gaps research, which gives future directions/expectations be followed forthcoming investigations.
Language: Английский
Citations
39Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118599 - 118599
Published: July 7, 2023
Language: Английский
Citations
38Applied Sciences, Journal Year: 2024, Volume and Issue: 14(2), P. 634 - 634
Published: Jan. 11, 2024
This study introduces the Risk-Informed Asset-Centric (RIACT) process, a novel approach aimed at enhancing safety and resilience of urban infrastructures against natural man-made disasters. The RIACT method stands out for its comprehensive analysis potential disruptions to areas, encompassing their susceptibility disasters, vulnerability factors, recovery capabilities. study’s primary focus is on Portugal’s 308 municipalities, assessing preparedness ability recover from earthquake events. Methodologically, involved employing geographic information system (GIS) mapping evaluate risks, combining data regional risk demographic economic profiles, capacities. provides detailed understanding each municipality’s strengths areas in need improvement, encouraging collaborative framework sharing implementing best practices. results reveal significant variations across different regions, highlighting tailored strategies. Conclusively, not only enhances individual municipalities but also contributes broader national strategy resilience, offering valuable insights effective disaster management planning.
Language: Английский
Citations
9Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 90, P. 104379 - 104379
Published: Dec. 28, 2022
Language: Английский
Citations
35