Abstract

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.

Highlights

  • Floods are one of the most brutal catastrophes among the natural hazards [1,2,3], affect more human beings compared to other natural disasters [4,5], have the most calamitous environmental impacts [6,7], and root up enormous social–civil conflicts [8]

  • The study area is divided in two components: (1) the upper catchment, which inThe study area is divided in two components: (1) the upper catchment, which includes cludes 20 subbasins contributing the flows to the Marala barrage, and (2) the lower

  • The hydrological modeling in Hydrologic Engineering Centre–Hydrologic Modeling System (HEC-HMS) indicated that the Integrated Multisatellite Retrievals-Final (IMERG-F) precipitation product performed well in calibration, validation, and application periods as compared to

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Summary

Introduction

Floods are one of the most brutal catastrophes among the natural hazards [1,2,3], affect more human beings compared to other natural disasters [4,5], have the most calamitous environmental impacts [6,7], and root up enormous social–civil conflicts [8]. Floods caused an economic loss of more than $1 trillion USD from 1980 to 2013 across the globe [12], deteriorated the Asian economy by $136 billion USD, and claimed an average of 22,800 lives per year [13]. Pakistan is a developing country that has faced a total life loss of about 12,502 in 25 major floods in its history due to extreme weather conditions. These catastrophic events caused a total economic loss of $38.171 billion USD, out of which 50%

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