The exploration application of MIKE SHE model in Qingtongxia irrigation area water recycle
- https://doi.org/10.2991/eesed-16.2017.79How to use a DOI?
- Qingtongxia irrigation area; water-cycle model; MIKE SHE model; parameter calibration
The water diversion-transportation-drainage-return had become the dominant regional hydrological processes in Qingtongxia irrigation area. For the reason of systematically mastering water cycle rules of Qingtongxia irrigation area, this study chose MIKE SHE distributed hydrological model with physical basis to build water-cycle model of Qingtongxia irrigation area, calculated the parameters with data of underground water level and drainage flow from 2007 to 2009, and validated the parameters with same data from 2010 to 2012. Using this model, this study simulated and analyzed the conversion relationship of different water cycle factors in Qingtongxia irrigation area. The results shown that annual average evapotranspiration was 3.537 billion mü, total drainage ditches flow was about 2.832 billion mü, and the groundwater runoff into Yellow River was about 55 million mü. This study firstly quantitative clarified the relationship between recharge and discharge of Qingtongxia irrigation area and the Yellow River. These will lay the foundation for studying the water circulation evolution mechanism and water resources efficient utilization under changing environment.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jun-Tao Wang AU - Hui-Min Zhang AU - Bu-Hui Chang PY - 2016/08 DA - 2016/08 TI - The exploration application of MIKE SHE model in Qingtongxia irrigation area water recycle BT - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016) PB - Atlantis Press SP - 570 EP - 576 SN - 2352-5401 UR - https://doi.org/10.2991/eesed-16.2017.79 DO - https://doi.org/10.2991/eesed-16.2017.79 ID - Wang2016/08 ER -