Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management
Rapid and reliable flood information is crucial for minimizing post-event catastrophes in the complex river basins of the world. The Chenab River basin is one of the complex river basins of the world, facing adverse hydrometeorological conditions with unpredictable hydrologic response. Resultantly,...
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MDPI AG
2021-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/19/3916 |
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| author | Sikandar Ali Muhammad Jehanzeb Masud Cheema Muhammad Mohsin Waqas Muhammad Waseem Megersa Kebede Leta Muhammad Uzair Qamar Usman Khalid Awan Muhammad Bilal Muhammad Habib ur Rahman |
| author_facet | Sikandar Ali Muhammad Jehanzeb Masud Cheema Muhammad Mohsin Waqas Muhammad Waseem Megersa Kebede Leta Muhammad Uzair Qamar Usman Khalid Awan Muhammad Bilal Muhammad Habib ur Rahman |
| author_sort | Sikandar Ali |
| collection | DOAJ |
| description | Rapid and reliable flood information is crucial for minimizing post-event catastrophes in the complex river basins of the world. The Chenab River basin is one of the complex river basins of the world, facing adverse hydrometeorological conditions with unpredictable hydrologic response. Resultantly, many vicinities along the river undergo destructive inundation, resulting in huge life and economic losses. In this study, Hydrologic Engineering Centre–Hydrologic Modeling System (HEC-HMS) and HEC–River Analysis System (HEC-RAS) models were used for flood forecasting and inundation modeling of the Chenab River basin. The HEC-HMS model was used for peak flow simulation of 2014 flood event using Global Precipitation Mission (GMP) Integrated Multisatellite Retrievals-Final (IMERG-F), Tropical Rainfall Measuring Mission_Real Time (TRMM_3B42RT), and Global Satellite Mapping of Precipitation_Near Real Time (GSMaP_NRT) precipitation products. The calibration and validation of the HEC-RAS model were carried out for flood events of 1992 and 2014, respectively. The comparison of observed and simulated flow at the outlet indicated that IMERG-F has good peak flow simulation results. The simulated inundation extent revealed an overall accuracy of more than 90% when compared with satellite imagery. The HEC-RAS model performed well at Manning’s n of 0.06 for the river and the floodplain. From the results, it can be concluded that remote sensing integrated with HEC-HMS and HEC-RAS models could be one of the workable solutions for flood forecasting, inundation modeling, and early warning. The concept of integrated flood management (IFM) has also been translated into practical implementation for joint Indo-Pak management for flood mitigation in the transboundary Chenab River basin. |
| first_indexed | 2024-03-10T06:53:37Z |
| format | Article |
| id | doaj.art-fbb78973815045f28c3093da7cd0a306 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T06:53:37Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fbb78973815045f28c3093da7cd0a3062023-11-22T16:42:48ZengMDPI AGRemote Sensing2072-42922021-09-011319391610.3390/rs13193916Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to ManagementSikandar Ali0Muhammad Jehanzeb Masud Cheema1Muhammad Mohsin Waqas2Muhammad Waseem3Megersa Kebede Leta4Muhammad Uzair Qamar5Usman Khalid Awan6Muhammad Bilal7Muhammad Habib ur Rahman8Department of Irrigation and Drainage, Faculty of Agricultural Engineering and Technology, University of Agriculture, Faisalabad 38000, PakistanDepartment of Land and Water Conservation Engineering, Faculty of Agricultural Engineering and Technology, PMAS Arid Agriculture University, Rawalpindi 46000, PakistanDepartment of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, PakistanDepartment of Civil Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi 23460, PakistanFaculty of Agriculture and Environmental Sciences, University of Rostock, 18059 Rostock, GermanyDepartment of Irrigation and Drainage, Faculty of Agricultural Engineering and Technology, University of Agriculture, Faisalabad 38000, PakistanInternational Water Management Institute (IWMI), Lahore 53700, PakistanSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaCrop Science, Institute of Crop Science and Resources Conservation, University of Bonn, 53115 Bonn, GermanyRapid and reliable flood information is crucial for minimizing post-event catastrophes in the complex river basins of the world. The Chenab River basin is one of the complex river basins of the world, facing adverse hydrometeorological conditions with unpredictable hydrologic response. Resultantly, many vicinities along the river undergo destructive inundation, resulting in huge life and economic losses. In this study, Hydrologic Engineering Centre–Hydrologic Modeling System (HEC-HMS) and HEC–River Analysis System (HEC-RAS) models were used for flood forecasting and inundation modeling of the Chenab River basin. The HEC-HMS model was used for peak flow simulation of 2014 flood event using Global Precipitation Mission (GMP) Integrated Multisatellite Retrievals-Final (IMERG-F), Tropical Rainfall Measuring Mission_Real Time (TRMM_3B42RT), and Global Satellite Mapping of Precipitation_Near Real Time (GSMaP_NRT) precipitation products. The calibration and validation of the HEC-RAS model were carried out for flood events of 1992 and 2014, respectively. The comparison of observed and simulated flow at the outlet indicated that IMERG-F has good peak flow simulation results. The simulated inundation extent revealed an overall accuracy of more than 90% when compared with satellite imagery. The HEC-RAS model performed well at Manning’s n of 0.06 for the river and the floodplain. From the results, it can be concluded that remote sensing integrated with HEC-HMS and HEC-RAS models could be one of the workable solutions for flood forecasting, inundation modeling, and early warning. The concept of integrated flood management (IFM) has also been translated into practical implementation for joint Indo-Pak management for flood mitigation in the transboundary Chenab River basin.https://www.mdpi.com/2072-4292/13/19/3916Chenab Riverflood forecastinginundation modelingremote sensingHEC-HMSHEC-RAS |
| spellingShingle | Sikandar Ali Muhammad Jehanzeb Masud Cheema Muhammad Mohsin Waqas Muhammad Waseem Megersa Kebede Leta Muhammad Uzair Qamar Usman Khalid Awan Muhammad Bilal Muhammad Habib ur Rahman Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management Remote Sensing Chenab River flood forecasting inundation modeling remote sensing HEC-HMS HEC-RAS |
| title | Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management |
| title_full | Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management |
| title_fullStr | Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management |
| title_full_unstemmed | Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management |
| title_short | Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management |
| title_sort | flood mitigation in the transboundary chenab river basin a basin wise approach from flood forecasting to management |
| topic | Chenab River flood forecasting inundation modeling remote sensing HEC-HMS HEC-RAS |
| url | https://www.mdpi.com/2072-4292/13/19/3916 |
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