Studying Intense Convective Rainfall in Turin's Urban Area for Urban Flooding Early Warning System Implementation

被引:0
|
作者
Cremonini, Roberto [1 ]
Tiranti, Davide [1 ]
Burzio, Edoardo [2 ]
Brussolo, Elisa [2 ]
机构
[1] Reg Agcy Environm Protect Piemonte Arpa Piemonte, Dept Nat & Environm Risks, I-10135 Turin, Italy
[2] Sc Metropolitana Acque Torino SpA, Res Ctr, I-10127 Turin, Italy
来源
GEOHAZARDS | 2024年 / 5卷 / 03期
关键词
rainfall thresholds; weather radar; rainstorms; runoff erosion; landslides; risk reduction; resilience; CLIMATE-CHANGE; VARIABILITY; ALPINE;
D O I
10.3390/geohazards5030040
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The effects of global warming, coupled with the continuing expansion of urbanization, have significantly increased vulnerability to urban flooding, widespread erosion risks, and related phenomena such as shallow landslides and mudflows. These challenges are particularly evident in both lowland and hill/foothill environments of urbanized regions. Improving resilience to urban flooding has emerged as a top priority at various levels of governance. This paper aims to perform an initial analysis with the goal of developing an early warning system to efficiently manage intense convective rainfall events in urban areas. To address this need, the paper emphasizes the importance of analyzing different hazard scenarios. This involves examining different hydro-meteorological conditions and exploring management alternatives, as a fundamental step in designing and evaluating interventions to improve urban flood resilience. The Turin Metropolitan Area (TMA), located in north-western Italy, represents a unique case due to its complex orography, with a mountainous sector in the west and a flat or hilly part in the east. During the warm season, this urban area is exposed to strong atmospheric convection, resulting in frequent hailstorms and high-intensity rainfall. These weather conditions pose a threat to urban infrastructure, such as drainage systems and road networks, and require effective management strategies to mitigate risks and losses. The TMA's urban areas are monitored by polarimetric Doppler weather radars and a dense network of rain gauges. By examining various summer precipitation events leading to urban flooding between 2007 and 2021, this study assesses the practicability of deploying a weather-radar early-warning system. The focus is on identifying rainfall thresholds that distinguish urban flooding in lowland areas and runoff erosion phenomena in urbanized hills and foothills.
引用
收藏
页码:799 / 815
页数:17
相关论文
共 50 条
  • [1] The Urban Flooding Early Warning System of the Greater Turin (North-Western Italy) Based on Weather-Radar Observations
    Cremonini, Roberto
    Tiranti, Davide
    Barbero, Secondo
    [J]. ENGINEERING GEOLOGY FOR SOCIETY AND TERRITORY, VOL 5: URBAN GEOLOGY, SUSTAINABLE PLANNING AND LANDSCAPE EXPLOITATION, 2015, : 837 - 842
  • [2] Design and Implementation of Monitoring and Early Warning System for Urban Roads Waterlogging
    Liu, Yang
    Du, Mingyi
    Jing, Changfeng
    Cai, Guoyin
    [J]. Computer and Computing Technologies in Agriculture VIII, 2015, 452 : 610 - 615
  • [3] Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin
    Melisa Acosta-Coll
    Francisco Ballester-Merelo
    Marcos Martínez-Peiró
    [J]. Natural Hazards, 2018, 92 : 1237 - 1265
  • [4] Early warning system for detection of urban pluvial flooding hazard levels in an ungauged basin
    Acosta-Coll, Melisa
    Ballester-Merelo, Francisco
    Martinez-Peiro, Marcos
    [J]. NATURAL HAZARDS, 2018, 92 (02) : 1237 - 1265
  • [5] An empirical rainfall threshold approach for the civil protection flood warning system on the Milan urban area
    Gambini, Enrico
    Ceppi, Alessandro
    Ravazzani, Giovanni
    Mancini, Marco
    Valsecchi, Ismaele Quinto
    Cucchi, Alessandro
    Negretti, Alberto
    Tolone, Immacolata
    [J]. JOURNAL OF HYDROLOGY, 2024, 628
  • [6] Integrated dynamic framework for predicting urban flooding and providing early warning
    Zhou, Yihong
    Wu, Zening
    Xu, Hongshi
    Wang, Huiliang
    Ma, Bingyan
    Lv, Hong
    [J]. JOURNAL OF HYDROLOGY, 2023, 618
  • [7] LIFE BAETULO Project: Implementation of an Integrated Early Warning System to cope with urban floods
    Martinez Puentes, Montse
    Russo, Beniamino
    Paindelli, Andrea
    Recolons Lopez-Pinto, Paula
    Hernandez Perez, Rubens
    Bofill Ananos, Joaquin
    Montes Carretero, Josep
    [J]. INGENIERIA DEL AGUA, 2023, 27 (02): : 93 - 110
  • [8] Research on Urban Residential Area Early Warning System based on Artificial Neural Network
    Xiao, Lan
    [J]. AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2250 - 2254
  • [9] Rapid Identification and Early Warning of Urban Waterlogging Risk Using Flooding Model
    Xu, Mei
    Liu, Shu
    Sun, Yang
    Yao, Yonghui
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2020, 45 (08): : 1185 - 1194
  • [10] Development of Integrated Flooding Early Warning and Rainfall Runoff Management Platform for Downtown Area of Shanghai
    Shi, Zhenbao
    Shen, Qingran
    Tan, Qiong
    Li, Tian
    [J]. SUSTAINABILITY, 2021, 13 (20)