Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins

This study quantifies the sensitivity of surface runoff to drought and climate change in the Diyala watershed shared between Iraq and Iran. This was achieved through a combined use of a wide range of changes in the amount of precipitation (a decline between 0% and −40%) and in the potential evapotra...

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Main Authors: Furat A. M. Al-Faraj, Miklas Scholz, Dimitris Tigkas
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/6/10/3033
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spelling doaj-594cb91367164cea970a0b9920681a562020-11-24T23:07:18ZengMDPI AGWater2073-44412014-10-016103033304810.3390/w6103033w6103033Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River BasinsFurat A. M. Al-Faraj0Miklas Scholz1Dimitris Tigkas2School of Computing, Science and Engineering, The University of Salford, Salford, Greater Manchester M5 4WT, UKSchool of Computing, Science and Engineering, The University of Salford, Salford, Greater Manchester M5 4WT, UKLaboratory of Reclamation Works and Water Resources Management, School of Rural and Surveying Engineering, National Technical University of Athens, Iroon Polytechniou 9, Athens 15780, GreeceThis study quantifies the sensitivity of surface runoff to drought and climate change in the Diyala watershed shared between Iraq and Iran. This was achieved through a combined use of a wide range of changes in the amount of precipitation (a decline between 0% and −40%) and in the potential evapotranspiration rate (an increase between 0% and +30%). The Medbasin-monthly rainfall-runoff model (Medbasin-M) was used for runoff simulation. The model was calibrated for twelve hydrologic years (1962−1973), and the simulation results were validated with the observed annual runoff for nine water years (1974−1982). For the calibration period, the correlation coefficient (r), the root mean squared error (RMSE), the mean absolute error (MAE) and the index of agreement (IoA) were 0.893, 2.117, 1.733 and 0.852, respectively. The corresponding values for validation were 0.762, 1.250, 1.093 and 0.863, in this order. The Reconnaissance Drought Index (RDI) and the Streamflow Drought Index (SDI) were analysed using DrinC software. Three nomographs were introduced to quantify the projected reductions in the annual runoff and the anticipated RDI and SDI values, respectively. The proposed methodology offers a simple, powerful and generic approach for predicting the rate of change (%) in annual runoff under climate change scenarios.http://www.mdpi.com/2073-4441/6/10/3033climate alterationtransboundary watershedriver flowMedbasin modelreconnaissance drought indexstreamflow drought indexnomographwater managementsoil storage capacityrunoff curve number
collection DOAJ
language English
format Article
sources DOAJ
author Furat A. M. Al-Faraj
Miklas Scholz
Dimitris Tigkas
spellingShingle Furat A. M. Al-Faraj
Miklas Scholz
Dimitris Tigkas
Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
Water
climate alteration
transboundary watershed
river flow
Medbasin model
reconnaissance drought index
streamflow drought index
nomograph
water management
soil storage capacity
runoff curve number
author_facet Furat A. M. Al-Faraj
Miklas Scholz
Dimitris Tigkas
author_sort Furat A. M. Al-Faraj
title Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
title_short Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
title_full Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
title_fullStr Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
title_full_unstemmed Sensitivity of Surface Runoff to Drought and Climate Change: Application for Shared River Basins
title_sort sensitivity of surface runoff to drought and climate change: application for shared river basins
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2014-10-01
description This study quantifies the sensitivity of surface runoff to drought and climate change in the Diyala watershed shared between Iraq and Iran. This was achieved through a combined use of a wide range of changes in the amount of precipitation (a decline between 0% and −40%) and in the potential evapotranspiration rate (an increase between 0% and +30%). The Medbasin-monthly rainfall-runoff model (Medbasin-M) was used for runoff simulation. The model was calibrated for twelve hydrologic years (1962−1973), and the simulation results were validated with the observed annual runoff for nine water years (1974−1982). For the calibration period, the correlation coefficient (r), the root mean squared error (RMSE), the mean absolute error (MAE) and the index of agreement (IoA) were 0.893, 2.117, 1.733 and 0.852, respectively. The corresponding values for validation were 0.762, 1.250, 1.093 and 0.863, in this order. The Reconnaissance Drought Index (RDI) and the Streamflow Drought Index (SDI) were analysed using DrinC software. Three nomographs were introduced to quantify the projected reductions in the annual runoff and the anticipated RDI and SDI values, respectively. The proposed methodology offers a simple, powerful and generic approach for predicting the rate of change (%) in annual runoff under climate change scenarios.
topic climate alteration
transboundary watershed
river flow
Medbasin model
reconnaissance drought index
streamflow drought index
nomograph
water management
soil storage capacity
runoff curve number
url http://www.mdpi.com/2073-4441/6/10/3033
work_keys_str_mv AT furatamalfaraj sensitivityofsurfacerunofftodroughtandclimatechangeapplicationforsharedriverbasins
AT miklasscholz sensitivityofsurfacerunofftodroughtandclimatechangeapplicationforsharedriverbasins
AT dimitristigkas sensitivityofsurfacerunofftodroughtandclimatechangeapplicationforsharedriverbasins
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