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ARS Home » Plains Area » Temple, Texas » Grassland Soil and Water Research Laboratory » Research » Publications at this Location » Publication #312860
Title: Integration of hydrologic and water allocation models in basin-scale water resources management considering crop pattern and climate change: Karkheh River Basin in Iran

Author
item VAGHEFI, S - University Of Tehran
item MOUSAVI, S - University Of Tehran
item ABBASPOUR, K - Swiss Federal Institute
item SRINIVASAN, R - Texas Agricultural Experiment Station
item Arnold, Jeffrey

Submitted to: Regional Environmental Change
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 12/14/2013
Publication Date: 3/1/2015
Publication URL: http://handle.nal.usda.gov/10113/60427
Citation: Vaghefi, S.A., Mousavi, S.J., Abbaspour, K.C., Srinivasan, R., Arnold, J.G. 2015. Integration of hydrologic and water allocation models in basin-scale water resources management considering crop pattern and climate change: Karkheh River Basin in Iran. Regional Environmental Change. 15(3):475-484.

Interpretive Summary: Population growth and uncertainties due to climate change are major challenges to water resources planning and management. In this study, two water resource models were linked to provide an integrated approach. The SWAT (Soil and Water Assessment Tool) model, used for determining the impact of land use and climate on water resources, was linked to MODSIM, used for water rights and water allocation. The integrated model was applied in Southwest Iran to analyze the effects of climate and cropping system changes on agricultural and hydro energy production. The analyses indicate that cropping pattern change can effectively mitigate negative impacts of climate change.

Technical Abstract: The paradigm of integrated water resources management requires coupled analysis of hydrology and water resources in a river basin. Population growth and uncertainties due to climate change make historic data not a reliable source of information for future planning of water resources, hence necessitating climate and land use change impact studies. This work presents an integrated modeling approach by linking Soil and Water Assessment Tool (SWAT) and MODSIM. While SWAT produces hydrologic and water resources information, MODSIM provides a decision support system for water allocation. We used the coupled SWAT-MODSIM to analyze the effects of climate and cropping pattern changes on agricultural and hydro energy production in the Karkheh River Basin, a semiarid region in south-west of Iran. Cropping patterns were considered by limiting the cereal production to 50% (S1, near to historic), 17% (S2), and 83% (S3) of the Canadian Global Coupled Model (CGCM 3.1 version (T63) for A1B, A2, and B1 scenarios. The results showed that based on future climate changes and land use scenarios, wheat production had a large variation in five economically important agricultural regions ranging from 33,000 ton year-1 (S2-A1B) to 74,000 ton pear-1 (S3-A2). Similarly, energy production, while increasing from 614 to 1,100 GWH in A2, decreased from 614 to 464 GWH in B1 climate scenario. Our analyses indicate that cropping pattern change can be used as an effective tool to adapt to the negative impacts of climate change.