Simulation of Rainfall-Runoff in the Diyala River Basin in Iraq using Hydrological Model by HMS with remote sensing, Geo-HMS and ArcGIS

Abstract

In Iraq, the Diyala River (DR) occasionally experiences both droughts and floods. The DR is supplying the amount of water to Tigris River at the south of Baghdad. Estimation of runoff from precipitation is very important because of its impact on decision-making in water resources management. The conceptual and distributed hydrological model was adopted and by HEC-HMS, Geo-HMS, and GIS software, remote digital elevation models were processed. The sensitivity, calibration, and validation were made through the period 2017-2021. The estimated CN values were from 60 to 100 with distributed related ratios between 0.6% to 52.8%. The differences between the observed and estimated inlet discharge of Hemrin Dam were for (+0.1 to -0.2) % with some more at peak discharge point. The HEC-HMS, using data from NASA and FAO, was acceptable model. The results with an accuracy of 95%, which is indicated by the value of R2 and PBIAS indicators.

Runoff Estimation for the Central Region of the Lesser Zab River Watershed Using the SCS-Curve Number Method and GIS

“…Hamdan et al [2021] made a hydrological model of Al-Adhaim River catchment in the northeast of Iraq using the HEC-HMS software and based on the SCS-CN method to estimate the runoff volume, they concluded that the SCS-CN based model was very effective with R 2 equal to 0.9, also they concluded that the CN and the initial abstraction (Ia) were the most sensitive parameters in the model. Alrammahi and Hamdan [2022] made a hydrological model of the Diyala River catchment in Iraq using the HEC-HMS and GIS software, they were doing a sensitivity analysis as well as a calibration and verification for the model through the period of 2017-2021, they get an accuracy of the results of about 95%.…”