Flood Inundation Modeling by Integrating HEC-RAS and Satellite Imagery: A Case Study of the Indus River Basin

被引:13
|
作者
Afzal, Muhammad Adeel [1 ]
Ali, Sikandar [1 ,2 ]
Nazeer, Aftab [3 ,4 ]
Khan, Muhammad Imran [1 ]
Waqas, Muhammad Mohsin [5 ]
Aslam, Rana Ammar [6 ]
Cheema, Muhammad Jehanzeb Masud [7 ]
Nadeem, Muhammad [8 ]
Saddique, Naeem [1 ]
Muzammil, Muhammad [1 ,9 ]
Shah, Adnan Noor [5 ]
机构
[1] Univ Agr Faisalabad, Fac Agr Engn & Technol, Dept Irrigat & Drainage, Faisalabad 38000, Pakistan
[2] Univ Agr Faisalabad, Agr Remote Sensing Lab, Faisalabad 38000, Pakistan
[3] Delft Univ Technol, Dept Water Management, NL-2600 GA Delft, Netherlands
[4] Bahauddin Zakariya Univ, Dept Agr Engn, Multan 60800, Pakistan
[5] Khwaja Fareed Univ Engn & Informat Technol, Dept Agr Engn, Rahim Yar Khan 64200, Pakistan
[6] Univ Agr Faisalabad, Fac Agr Engn & Technol, Dept Struct & Environm Engn, Faisalabad 38000, Pakistan
[7] PMAS Arid Agr Univ, Fac Agr Engn & Technol, Dept Land & Water Conservat Engn, Rawalpindi 46000, Pakistan
[8] Univ Agr Faisalabad, Fac Agr Engn & Technol, Dept Farm Machinery & Power, Faisalabad 38000, Pakistan
[9] Justus Liebig Univ, Res Ctr BioSyst Land Use & Nutr IFZ, Inst Landscape Ecol & Resources Management ILR, D-35392 Giessen, Germany
关键词
Indus River; HEC-RAS; inundation modeling; flood warning; MODIS; Landsat; DIFFERENCE WATER INDEX; FINITE-ELEMENT; TOPOGRAPHIC DATA; AFFECTED AREA; RESOLUTION; IMPACT; RISK; PAKISTAN; RUNOFF; MODIS;
D O I
10.3390/w14192984
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Floods are brutal, catastrophic natural hazards which affect most human beings in terms of economy and life loss, especially in the large river basins worldwide. The Indus River basin is considered as one of the world's large river basins, comprising several major tributaries, and has experienced severe floods in its history. There is currently no proper early flood warning system for the Indus River which can help administrative authorities cope with such natural hazards. Hence, it is necessary to develop an early flood warning system by integrating a hydrodynamic model, in situ information, and satellite imagery. This study used Hydrologic Engineering Center-River Analysis System (HEC-RAS) to predict river dynamics under extreme flow events and inundation modeling. The calibration and validation of the HEC-RAS v5 model was performed for 2010 and 2015 flood events, respectively. Manning's roughness coefficient (n) values were extracted using the land use information of the rivers and floodplains. Multiple combinations of n values were used and optimized in the simulation process for the rivers and floodplains. The Landsat 5 Thematic Mapper (TM), Landsat 8 Operational Land Imager (OLI), Moderate Resolution Imaging Spectroradiometer (MODIS) MOD09A1, and MOD09GA products were used in the analysis. The Normalized Difference Water Index (NDWI), Modified NDWI1 (MNDWI1), and MNDWI2, were applied for the delineation of water bodies, and the output of all indices were blended to produce standard flood maps for accurate assessment of the HEC-RAS-based simulated flood extent. The optimized n values for rivers and floodplains were 0.055 and 0.06, respectively, with significant satisfaction of statistical parameters, indicating good agreement between simulated and observed flood extents. The HEC-RAS v5 model integrated with satellite imagery can be further used for early flood warnings in the central part of the Indus River basin.
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页数:19
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