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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 364
Proc. IAHS, 364, 88–93, 2014
https://doi.org/10.5194/piahs-364-88-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 364, 88–93, 2014
https://doi.org/10.5194/piahs-364-88-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

  16 Sep 2014

16 Sep 2014

Where does blue water go in the semi-arid area of northern China under changing environments?

L. Ren, F. Yuan, B. Yong, S. Jiang, X. Yang, L. Gong, M. Ma, Y. Liu, and H. Shen L. Ren et al.
  • State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Hydrology and Water Resources, Hohai University, No. 1 Xikang Road, Nanjing, 210098, China

Keywords: Runoff, evapotranspiration, blue water, green water, land use and cover changes, water balance

Abstract. River flow regimes in the semi-arid region of northern China show a decreasing trend in terms of quantity. River runoff (i.e. blue water) reduction within the Laohahe catchment, the source area of the Liaohe River basin, manifests the aridity that exists widely in northern China. According to the water balance equation, during the past half-century, observed streamflow records in the Laohahe catchment show that blue water was re-directed to green water flow (i.e. evapotranspiration) over annual and decadal time scales, whereas precipitation did not vary much. Human activities and land-use/land-cover changes are the fundamental reasons for such runoff change. In the studied catchment, extensive land reclamation for agriculture, water withdrawal from streams, and abstraction from aquifers for irrigation are the direct and main causes leading to the decrease in observed blue water. These factors further demonstrate that a land-use decision is also a decision about water. Therefore, there is a need for an integrated modelling framework to intrinsically link climate, hydrological, and agricultural models with social and economic analyses.

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