Flood risk mapping using artificial intelligence “application to the east Algerian region” DOI
Faiza Bukenya,

Bareqa Salah,

Keblouti Mehdi

и другие.

STUDIES IN ENGINEERING AND EXACT SCIENCES, Год журнала: 2024, Номер 5(2), С. e10985 - e10985

Опубликована: Ноя. 22, 2024

The increased needs of the actors in land management mean that static maps no longer meet requirements scientists and decision-makers. Access is needed to data, methods tools produce complex response different stages risk evaluation response. availability high spatial resolution remote sensing data makes it possible detect objects close human size and, therefore, interest for studying anthropogenic activities. development new knowledge using detailed coupled with use Geographic Information System (GIS), naturally becomes beneficial risks analysis. Indeed, extraction information from specific processes, such as vegetation indices, can be used variables water heights, flow velocities, rates submersion predict potential consequences a flood. functionalities GIS cartographic overlay make identify flood zones according level flood, thus making useful decision-making tool. This study was carried out on territory watersheds Annaba region, East Algeria. choice guided by (satellites images, maps, hydrology, etc.) hydrological specificities (proximity an urban area). adopted model divided into two parts. first part establish methodology preservation wetland biodiversity protection areas against floods. second consisted integration cadastral map obtained our research. In other words, through machine learning algorithms, particular decision trees AdaBoost, we have generated specified catchment area region. results showed AdaBoost satisfactory compared field reality most optimal under curve (AUC) value 0.90. While tree had 0.68. findings this are planning implementing mitigation strategies

Язык: Английский

Urban waterlogging structure risk assessment and enhancement DOI
Yi Ding, Hao Wang, Yan Liu

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 352, С. 120074 - 120074

Опубликована: Янв. 23, 2024

Язык: Английский

Процитировано

13

Characteristics and drivers of flooding in recently built urban infrastructure during extreme rainfall DOI
Chenchen Fan, Jingming Hou, Donglai Li

и другие.

Urban Climate, Год журнала: 2024, Номер 56, С. 102018 - 102018

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

7

The Exacerbating Effect Mechanism of Tidal Jacking on Waterlogging Hazards in Coastal Cities DOI Creative Commons
Yan Liu, Hao Wang, Yi Ding

и другие.

Water Resources Research, Год журнала: 2025, Номер 61(3)

Опубликована: Март 1, 2025

Abstract The tidal jacking effect is a crucial factor exacerbating waterlogging in coastal cities, but its mechanism complex and difficult to quantify. In this study, comprehensive framework established explore how exacerbates waterlogging. includes three components: hydrodynamic simulations of urban combing rainfall tide levels, analysis the drainage system reveal impedes water flow waterlogging, quantification changes flooded buildings assess impact hazards. Taking Liede River Basin Guangzhou, China, as case results show that levels intensify through series cascading processes: outfalls, impeded pipeline drainage, pipe overflow, eventually surface When encounters jacking, number duration jacked outfalls increase, extending full pipes. This leads 9%–43% increase overflow 4%–27% expansion area. exceeds under jacking. Tidal proportion areas with different risk concentrating higher downstream. also causes differential losses among building types. study provides essential insights into level offers evidence for mitigating

Язык: Английский

Процитировано

1

A cost-benefit ‘source-receptor’ framework for implementation of Blue-Green flood risk management DOI Creative Commons
Christos Iliadis, Vassilis Glenis, Chris Kilsby

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 634, С. 131113 - 131113

Опубликована: Март 26, 2024

As floods are a major and growing source of risk in urban areas, there is necessity to improve flood management frameworks civil protection through planning interventions that modify surface flow pathways introduce storage. Despite the complexity densely urbanised areas (topography, buildings, green spaces, roads), modern models can represent features characteristics order help researchers, local authorities, insurance companies develop efficient achieve resilience cities. A cost-benefit driven 'source-receptor' framework developed this study identify (1) locations contributing flooding (sources), (2) buildings at high (receptors), (3) nexus between 'source' 'receptor', finally (4) ways mitigate 'receptor' by adding Blue-Green Infrastructure (BGI) critical locations. The analysis based on five steps area exposure damages arising from available spaces with best potential add sustainable resilient solutions reduce flooding. was using detailed hydrodynamic model CityCAT case city centre Newcastle upon Tyne, UK. novelty firstly, multiple storm magnitudes (i.e. small large floods) used combined method locate prioritized set places upstream downstream. Secondly, decisions informed considering benefit reduced properties cost construct BGI options rather than restricted hydraulic only depths storages isolation real world economics.

Язык: Английский

Процитировано

6

The spatial overlay effect of urban waterlogging risk and land use value DOI
Yi Ding, Hao Wang, Yan Liu

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 174290 - 174290

Опубликована: Июль 3, 2024

Язык: Английский

Процитировано

6

A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China DOI
Haocheng Huang, Xiaohui Lei, Weihong Liao

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 904, С. 165834 - 165834

Опубликована: Июль 28, 2023

Язык: Английский

Процитировано

13

Assessment and Improvement of Emergency Rescue Service Accessibility under Urban Waterlogging Disasters DOI Open Access
Jiafu Shi, Hao Wang, Jinjun Zhou

и другие.

Water, Год журнала: 2024, Номер 16(5), С. 693 - 693

Опубликована: Фев. 27, 2024

With the acceleration of urbanization and impact climate change, frequent occurrence urban waterlogging not only leads to road closures traffic congestion but also severely affects timeliness emergency rescue. To accurately assess enhance response capability rescue under storm-induced scenarios, a hydrodynamic model was developed simulate conditions various design rainfall scenarios. By identifying risks blocked roads, as well combining Two-Step Floating Catchment Area (2SFCA) method, accessibility services for points interest (POIs) with different vulnerabilities evaluated. The Liwan District Guangzhou City selected case study assessment improvement simulation. results indicate that increase in return period rainfall, both area depth waterlogged regions increased number roads affected by rose, leading an length from 11 km 49 km, over 300%. Additionally, POIs inaccessible increased, while accessible decreased, resulting significant downward trend overall accessibility. deploying mobile pumping vehicles, periods were reduced 10%, decreased more than 12%. findings highlight hinders flow reduces services. Through strategic deployment can be effectively improved, mitigating on functions public safety.

Язык: Английский

Процитировано

4

Spatial Correlation between Urban Planning Patterns and Vulnerability to Flooding Risk: A Case Study in Murcia (Spain) DOI Creative Commons
Salvador García-Ayllón, Ángela María Franco

Land, Год журнала: 2023, Номер 12(3), С. 543 - 543

Опубликована: Фев. 23, 2023

Cities in the Spanish Mediterranean regions have undergone an extensive process of urban growth recent decades. This transformation has often failed to consider variable flooding its planning. Such a situation, combined with current meteorological changes derived from climate change phenomena that increasingly cause less frequent but more extreme rainfall events this part planet, caused sharp increase vulnerability many areas against flooding. research aims analyze, spatiotemporal approach, case study Murcia, city southeastern Spain, existing spatial statistical correlation between planning patterns and risk due Using GIS-based multivariate indicators geostatistical analysis, behavior said will be numerically evaluated, possible future trends scenarios for problem raised.

Язык: Английский

Процитировано

9

Influence of Terrain Factors on Urban Pluvial Flooding Characteristics: A Case Study of a Small Watershed in Guangzhou, China DOI Open Access
Xuelian Zhang,

Aiqing Kang,

Mao Ye

и другие.

Water, Год журнала: 2023, Номер 15(12), С. 2261 - 2261

Опубликована: Июнь 16, 2023

Urban roads in China, particularly low-lying areas such as underpasses, tunnels, and culverts, are highly vulnerable to the dangers of urban pluvial flooding. We used spatial interpolation methods limited measured data assign elevation values road surface. The network was divided into tiny squares, enabling us calculate each square’s elevation, slope, curvature. Statistical analysis then employed evaluate impact terrain on flood characteristics systems. Our reveals a strong correspondence between distribution flood-prone points curvature parameters terrain. coincidence rate can reach 100% when an appropriate sampling scale is chosen. presence depressions necessary but insufficient for forming points. In lowland/gentle slope (LL/GS) with higher drainage pressure, we observe significant negative correlation (Spearman’s r = 0.205, p < 0.01). However, highland/steep (HL/SS) areas, find no them. Notably, matters, effective more influential areas. maximum depth (MFD), submerged area, ponding volume during flooding constrained by depression topography, while upstream catchment area also play role determining MFD peak lag time(FPLT). Larger longer flow paths normally result greater emergency response times/FPLT. Additionally, path gradient will directly contribute increased risk (greater shorter FPLT). These findings have important implications identification development mitigation strategies.

Язык: Английский

Процитировано

9

Effects of Digital Elevation Model resolution on Rain-on-Grid simulations: a case study in a Slovenian watershed DOI
Marcos Julien Alexopoulos, Panayiotis Dimitriadis, Theano Iliopoulou

и другие.

Hydrological Sciences Journal, Год журнала: 2024, Номер 69(11), С. 1468 - 1485

Опубликована: Июль 9, 2024

Язык: Английский

Процитировано

3