Using SAR Satellite Imagery for Potential Green Roof Retrofitting for Flood Mitigation in Urban Environment

被引:4
|
作者
Mobilia, Mirka [1 ]
Longobardi, Antonia [1 ]
机构
[1] Univ Salerno, Dept Civil Engn, Via Giovanni Paolo II 132, Fisciano, SA, Italy
关键词
Green Roof; SAR Images; SWMM; Sarno River Basin; SOLOFRANA RIVER-BASIN;
D O I
10.5220/0010378700590066
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Green roofs (GRs) represent a valid tool to mitigate the negative effects of urban floods. The aim of the present work is to test the hydrological behaviour of GRs at basin scale using Storm Water Management Model (SWMM), with an application to Preturo municipality located within the Sarno river basin (southern Italy) which during the last two decades was interested by the occurrence of many hazardous flash floods. The analysis of two sets of satellite images acquired between 1995 and 2016 by SAR sensors, showed a correlation between the increase of soil sealing and the occurrences of urban flooding during the same period. This finding suggests that the GR extensive adoption could contribute to a successful stormwater management. The suitability for GR retrofit depends on a number of criteria. In Preturo municipality, the fulfilment of these criteria was investigated using satellite images from Google Earth. The GRs retrofit potential of the studied area amounts to 7% of the total surface. The hydrological behaviour of the GR retrofit scenario was compared to the reference one which considers the actual land cover. The GR scenario better performs than the traditional one with a reduction of the runoff volume and peak flow of respectively 3.5% and 18.9% and an increase of the delay time of 8.2%.
引用
收藏
页码:59 / 66
页数:8
相关论文
共 50 条
  • [21] Modeling green infrastructure as a flood mitigation strategy in an urban coastal area
    Martijn Kriebel
    Ting Liu
    Robin Noordhoek
    Leonie Staas
    Jose E. Ramirez-Marquez
    Valentina Prigiobbe
    Urban Ecosystems, 2025, 28 (2)
  • [22] Analysing potential cliff erosivity from ERS SAR satellite imagery
    Manspeizer, N
    Karnieli, A
    Arkin, Y
    Chorowicz, J
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2001, 22 (05) : 807 - 817
  • [23] PROBABILISTIC URBAN FLOOD MAPPING USING SAR DATA
    Chini, Marco
    Hostache, Renaud
    Pelich, Ramona
    Matgen, Patrick
    Pulvirenti, Luca
    Pierdicca, Nazzareno
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4643 - 4645
  • [24] A NEURAL NETWORK APPROACH TO FLOOD MAPPING USING SATELLITE IMAGERY
    Skakun, Sergii
    COMPUTING AND INFORMATICS, 2010, 29 (06) : 1013 - 1024
  • [25] Above ground carbon stock estimation of urban green space using landsat satellite imagery
    Liao, Yuncheng (yunchengliao@163.com), 1600, Universidad Central de Venezuela (55):
  • [26] EXTRACTING URBAN MORPHOLOGY FOR ATMOSPHERIC MODELING FROM MULTISPECTRAL AND SAR SATELLITE IMAGERY
    Wittke, S.
    Karila, K.
    Puttonen, E.
    Hellsten, A.
    Auvinen, M.
    Karjalainen, M.
    ISPRS HANNOVER WORKSHOP: HRIGI 17 - CMRT 17 - ISA 17 - EUROCOW 17, 2017, 42-1 (W1): : 425 - 431
  • [27] Using satellite imagery to investigate Blue-Green Infrastructure establishment time for urban cooling
    Gobatti, L.
    Bach, P. M.
    Scheidegger, A.
    Leita, J. P.
    SUSTAINABLE CITIES AND SOCIETY, 2023, 97
  • [28] Green Roof Mitigation Potential for a Proxy Future Climate Scenario in Chicago, Illinois
    Smith, Kathryn R.
    Roebber, Paul J.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2011, 50 (03) : 507 - 522
  • [29] Cloud Removal From Optical Satellite Imagery With SAR Imagery Using Sparse Representation
    Huang, Bo
    Li, Ying
    Han, Xiaoyu
    Cui, Yuanzheng
    Li, Wenbo
    Li, Rongrong
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (05) : 1046 - 1050
  • [30] Green roof vegetation management alters potential for water quality and temperature mitigation
    Ouellet, Valerie
    Khamis, Kieran
    Croghan, Danny
    Gonzalez, Liliane M. Hernandez
    Rivera, Viviane A.
    Phillips, Collin B.
    Packman, Aaron, I
    Miller, William M.
    Hawke, Richard G.
    Hannah, David M.
    Krause, Stefan
    ECOHYDROLOGY, 2021, 14 (06)