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Downloaded from orbit.dtu.dk on: Apr 30, 2017
Addressing water challenges on the North China Plain with hydroeconomic
optimization
Martinsen, Grith; Davidsen, Claus; Bauer-Gottwein, Peter; Liu, Suxia; Mo, Xingguo; Jia, Shaofeng
Publication date:
2016
Document Version
Final published version
Link to publication
Citation (APA):
Martinsen, G., Davidsen, C., Bauer-Gottwein, P., Liu, S., Mo, X., & Jia, S. (2016). Addressing water challenges
on the North China Plain with hydroeconomic optimization. Abstract from 7th International Water Resources
Management Conference of ICWRS, bochum, Germany.
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Addressing water challenges on the North China Plain with hydroeconomic optimization
Grith Martinsen1, Claus Davidsen1, Peter Bauer-Gottwein1, Suxia Liu2, Xingguo Mo2, Shaofeng Jia2
1) Department of Environmental Engineering, Technical University of Denmark
2) Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
With its diverse environment and large population, China is facing water resource challenges, both in terms
of quantity and quality. The North China Plain (NCP) is one of the world’s most densely populated areas and
one of the highly water stressed regions of China. It counts for 15% of the Chinese GDP, from both industry
and agriculture. The high water demand for especially irrigation has caused decade long groundwater
depletion, ecosystem deterioration and high pollution loads in the region. To alleviate the water crisis of
Northern China the South-North Water Transfer Project has been constructed. However, the project alone
cannot solve the NCP’s water crisis.
A hydroeconomic optimization model has been developed for the NCP system. The model area represents
the administrative area of the Hai River Commission. The challenges addressed are the spatio-temporal
distribution of costs and curtailments from achieving a sustainable water allocation policy, especially
focusing on groundwater abstraction and ecological minimum flows. Efficient linear programming solvers
(LP) are used to enable adequate representation of the physical water delivery system and to move away
from system simplifications. This enables the representation of links and interactions between the water
resources system and the power system of Northern China. The multi-reservoir LP model is formulated as a
flow path based optimization, which tracks each water delivery from supplier to receiver. This is useful for
the exploration of optimal water allocation as well as water trading policies and other economic measures.
The suggested setup is a move towards a more applicable and implementable model.
A baseline run producing business-as-usual costs and deliveries across space and time is presented and
compared with a model run including sustainability constraints. This shows changes in allocations and costs
of ending groundwater depletion and keeping water quality criteria. It further reflects the conflict between
sustainability and economic output of the energy, food and industrial sectors in a water resource management
framework.