Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 139934 - 139934
Опубликована: Ноя. 29, 2023
Язык: Английский
Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 139934 - 139934
Опубликована: Ноя. 29, 2023
Язык: Английский
Water Research, Год журнала: 2023, Номер 232, С. 119720 - 119720
Опубликована: Фев. 9, 2023
Язык: Английский
Процитировано
73Ecological Indicators, Год журнала: 2023, Номер 156, С. 111137 - 111137
Опубликована: Окт. 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.
Язык: Английский
Процитировано
65Journal of Hydrology, Год журнала: 2023, Номер 620, С. 129381 - 129381
Опубликована: Март 11, 2023
Язык: Английский
Процитировано
49Sustainable Cities and Society, Год журнала: 2023, Номер 91, С. 104436 - 104436
Опубликована: Янв. 31, 2023
Язык: Английский
Процитировано
44Water Research, Год журнала: 2025, Номер 274, С. 123091 - 123091
Опубликована: Янв. 6, 2025
Язык: Английский
Процитировано
10Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104223 - 104223
Опубликована: Окт. 2, 2022
Язык: Английский
Процитировано
62Water, Год журнала: 2023, Номер 15(3), С. 523 - 523
Опубликована: Янв. 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.
Язык: Английский
Процитировано
39Journal of Environmental Management, Год журнала: 2023, Номер 345, С. 118599 - 118599
Опубликована: Июль 7, 2023
Язык: Английский
Процитировано
38Applied Sciences, Год журнала: 2024, Номер 14(2), С. 634 - 634
Опубликована: Янв. 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.
Язык: Английский
Процитировано
9Sustainable Cities and Society, Год журнала: 2022, Номер 90, С. 104379 - 104379
Опубликована: Дек. 28, 2022
Язык: Английский
Процитировано
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