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Water 2015, 7(6), 2821-2839; doi:10.3390/w7062821

Large-Scale Hydrological Modeling and Decision-Making for Agricultural Water Consumption and Allocation in the Main Stem Tarim River, China

1
Chair of Hydrology and River Basin Management, Technical University of Munich (TUM), Arcisstrasse 21, Munich 80333, Germany
2
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS), No. 818 South Beijing Road, Urumqi 830011, Xinjiang, China
3
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Chaoyang District, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Received: 2 April 2015 / Accepted: 3 June 2015 / Published: 12 June 2015
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Abstract

A large-scale hydrological model (MIKE HYDRO) was established for the purpose of sustainable agricultural water management in the main stem Tarim River, located in northwest China. In this arid region, agricultural water consumption and allocation management are crucial to address the conflicts among irrigation water users from upstream to downstream. The results of model calibration indicated a close correlation between simulated and observed values. Scenarios with the change on irrigation strategies and land use distributions were investigated. Irrigation scenarios revealed that the available irrigation water has significant and varying effects on the yields of different crops. Irrigation water saving could reach up to 40% in the water-saving irrigation scenario. Land use scenarios illustrated that an increase of farmland area in the lower reach gravely aggravated the water deficit, while a decrease of farmland in the upper reaches resulted in considerable benefits for all sub-catchments. A substitution of crops was also investigated, which demonstrated the potential for saving considerable amounts of irrigation water in upper and middle reaches. Overall, the results of this study provide a scientific basis for decision-making on agricultural water consumption and allocation in the study area. View Full-Text
Keywords: MIKE HYDRO; water scarcity; agricultural water allocation; irrigation water demand; irrigation and land use scenarios; Tarim River basin MIKE HYDRO; water scarcity; agricultural water allocation; irrigation water demand; irrigation and land use scenarios; Tarim River basin
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yu, Y.; Disse, M.; Yu, R.; Yu, G.; Sun, L.; Huttner, P.; Rumbaur, C. Large-Scale Hydrological Modeling and Decision-Making for Agricultural Water Consumption and Allocation in the Main Stem Tarim River, China. Water 2015, 7, 2821-2839.

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