Flood mapping using hydraulic modeling and Sentinel-1 image: Case study of Medjerda Basin, northern Tunisia

被引:17
|
作者
Ezzine, Ahmed [1 ,2 ,6 ]
Saidi, Salwa [2 ,3 ]
Hermassi, Taoufik [4 ]
Kammessi, Ichrak [5 ]
Darragi, Fadila [2 ]
Rajhi, Hamadi [1 ]
机构
[1] Natl Ctr Mapping & Remote Sensing, Aouina, Tunisia
[2] Fac Sci Tunis, Geol Dept, Tunis, Tunisia
[3] Water Energy & Environm Lab, Sfax, Tunisia
[4] Natl Res Inst Rural Engn Water & Forests, Tunis, Tunisia
[5] Natl Inst Agron Tunis, Tunis, Tunisia
[6] FST, Campus Univ El Manar, El Manar 2092, Tunisia
关键词
Flood; 2D simulation; Mapping; Medjerda; HEC-RAS; Sentinel-1;
D O I
10.1016/j.ejrs.2020.03.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In northwestern Tunisia, floods are the most widespread natural hazard. Indeed, this problem is posed seriously in the Medjerda basin. In fact, the plain of Jendouba - Bou Salem is the most affected area by this plague. It has the form of a shallows that collects runoff water and promotes flood extent and duration. So the main objective of this study is to determine the extent of the hydraulic hazard through the flood mapping of February 2015 event which has seriously affected the urban and peri-urban landscape of the plain. The hydraulic hazard extent mapping was determined through the HEC-RAS model. It's one of the most popular free hydraulic models developed by the Hydrological Engineers Center of the U.S. Army Corps. The new version (HEC-RAS v-5) is a two dimensional (2D) model based on the resolution of hydraulic Saint Venant which can simulate floodplain inundation, determine the water surface elevation and velocity distribution of floods. It allows modeling flow with permanent and non-permanent free surface by evaluating water flows and heights over the all sections of a river so it allows to integrate hydraulic works (bridge, dam ...). The result showed that this flood reached heights of more than six (6) meters in flooded areas.The result from the HEC-RAS model was validated using the Sentinel-1 radar image acquired on February 28th, 2015.The study shows the applicability and the capabilities of the 2D HEC-RAS version for flood studies.& COPY; 2020 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
引用
收藏
页码:303 / 310
页数:8
相关论文
共 50 条
  • [21] FLOOD MAPPING IN MOUNTAINOUS AREAS USING SENTINEL-1 & 2 DATA AND GLCM FEATURES
    Tavus, Beste
    Kocaman, Sultan
    GEOSPATIAL WEEK 2023, VOL. 48-1, 2023, : 1575 - 1580
  • [22] ANALYSING FLOOD AFFECTED REGION IN MERIC RIVER BASIN USING SENTINEL-1 AND SENTINEL-2 DATA
    Senel, Gizem
    Eroglu, Mehmet
    Balcik, Filiz Bektas
    Goksel, Cigdem
    8TH INTERNATIONAL CONFERENCE ON CARTOGRAPHY AND GIS, VOL. 1, 2020, : 710 - 716
  • [23] Uncovering the Extent of Flood Damage using Sentinel-1 SAR Imagery: A Case Study of the July 2020 Flood in Assam
    Thirugnanasammandamoorthi, Puviyarasi
    Ghosh, Debabrata
    Dewangan, Ram Kishan
    COMPUTER VISION AND IMAGE PROCESSING, CVIP 2023, PT II, 2024, 2010 : 102 - 114
  • [24] Flood Mapping Using Multi-temporal Sentinel-1 SAR Images: A Case Study—Inaouene Watershed from Northeast of Morocco
    Brahim Benzougagh
    Pierre-Louis Frison
    Sarita Gajbhiye Meshram
    Larbi Boudad
    Abdallah Dridri
    Driss Sadkaoui
    Khalid Mimich
    Khaled Mohamed Khedher
    Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022, 46 : 1481 - 1490
  • [25] Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia
    Dobrinic, Dino
    Gasparovic, Mateo
    Medak, Damir
    REMOTE SENSING, 2021, 13 (12)
  • [26] Multi-temporal mapping of flood damage to crops using sentinel-1 imagery: a case study of the Sesia River (October 2020)
    Samuele, De Petris
    Filippo, Sarvia
    Enrico, Borgogno-Mondino
    REMOTE SENSING LETTERS, 2021, 12 (05) : 459 - 469
  • [27] Application of Convolution Neural Network for Rapid Flood Mapping Using Sentinel-1 Imagery-A Case Study in Central Region of Vietnam
    La, Hien Phu
    Van Ngo, Quan
    ADVANCES IN RESEARCH ON WATER RESOURCES AND ENVIRONMENTAL SYSTEMS, 2023, : 431 - 443
  • [28] RAPID FLOOD MAPPING USING SENTINEL-1A IMAGES: A CASE STUDY OF FLOOD IN PANAMARAM, KERALA
    Meghanadh, D.
    Jaiswal, A. K.
    Maurya, V. K.
    Dwivedi, R.
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 6883 - 6885
  • [29] REMOTE SENSING FOR FLOOD INUNDATION MAPPING USING VARIOUS PROCESSING METHODS WITH SENTINEL-1 AND SENTINEL-2
    Stoyanova, E.
    39TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT ISRSE-39 FROM HUMAN NEEDS TO SDGS, VOL. 48-M-1, 2023, : 339 - 346
  • [30] Flood Monitoring in Rural Areas of the Pearl River Basin (China) Using Sentinel-1 SAR
    Qiu, Junliang
    Cao, Bowen
    Park, Edward
    Yang, Xiankun
    Zhang, Wenxin
    Tarolli, Paolo
    REMOTE SENSING, 2021, 13 (07)