Journal of Geographical Sciences >
Optimizing water resources allocation in the
Haihe River basin under groundwater sustainability constraints
Author: Grith Martinsen (1988-), PhD Candidate, specialized in water resources modelling and hydroeconomic optimization for water resources management. E-mail: grma@env.dtu.dk
Received date: 2018-05-12
Accepted date: 2018-11-23
Online published: 2019-06-25
Supported by
National Key Research and Development Program of China, No.2016YFC0401402
National Natural Science Foundation of China, No.41471026
Copyright
This study applies a hydroeconomic optimization method for water resources management in the highly water stressed Haihe River basin. A multi-objective, multi-temporal deterministic hydroeconomic optimization model has been built to quantify the economic trade-offs and reveal “minimum cost strategies” when reducing groundwater abstraction to sustainable levels. A complex basin representation, with ~140,000 decision variables is formulated where each decision variable represents a flow-path from a water source to a sink. Available water sources are runoff generated by the sub-basins upstream the nine major surface water reservoirs, the inter-basin transfers from Yellow River and South to North Water Transfer Project (SNWTP) and the natural groundwater recharge to the three main groundwater aquifers. Water demands, i.e. sinks, are aggregated for each model sub-basin in categories of the major agricultural users, domestic, industrial and ecological water demands. Each demand is associated with a curtailment cost and groundwater abstraction with a pumping cost. Groundwater overdraft is constrained in each model scenario, ranging from unlimited overdraft in the plain area groundwater aquifer to sustainable abstractions over an 8-year period. Inflow upstream Yuqiao reservoir, and the inter-basin transfers from SNWTP and Yellow River are identified as the water resources with the highest increase in average shadow prices when limiting groundwater overdraft. An increase in inflow shadow prices of 37.5% indicates that these water sources will be most valuable if sustainable groundwater abstraction should be achieved. The shadow prices of water sources reveal when and where in the Haihe River basin users are curtailed if water resources are managed in the most optimal way. Average shadow prices of 1.6 yuan/m3 for all surface water sources in the sustainable abstraction scenarios shows that overdraft can be avoided by curtailment of users with a willingness-to-pay ≤1.6 yuan/m3. The shadow prices of the existing surface water reservoirs represented in the model shows that no costs can be saved from expanding their capacities. Finally, the cost of achieving sustainable groundwater abstraction with present water resource availability is found to be minimum 8.2 billion yuan/year.
Grith MARTINSEN
,
LIU Suxia
,
MO Xingguo
,
BAUER-GOTTWEIN Peter
. Optimizing water resources allocation in the
Haihe River basin under groundwater sustainability constraints[J]. Journal of Geographical Sciences, 2019
, 29(6)
: 935
-958
.
DOI: 10.1007/s11442-019-1638-6
Figure 1 Conceptual model of the Haihe River basin with the nine major surface water reservoirs and their respective names, the transfer schemes and the 16 model sub-basins (1. Tumahe, 2. Miyun, 3. Panjiakou, 4. Yuqiao, 5. Guanting, 6. Wangkuai, 7. Gangnan, 8. Pingshan, 9. Zhangweihe, 10. Yuecheng, 11. Beijing, 12. Heilonggangyundong, 13. Plain mid, 14. Plain north, 15. Tianjin, 16. Xidayang) and the three groundwater units within Haihe River basin |
Figure 2 Outline of calibration (red) and simulation (grey) basins of Haihe River basin (black) (a), and rainfall forcing data (grey bars), observed in-situ runoff (blue) and simulated runoff (red) from Budyko model calibration (b) |
Table 1 Capacities and yearly allocations of inter-basin transfers from neighboring river basins to Haihe River basin (Wang et al., 2015; NSBD, 2016a; NSBD, 2016b) |
SNWTP east | SNWTP mid | Yellow River east | Yellow River mid | Yellow River Datong link | |
---|---|---|---|---|---|
Water transfers (M m3/year) | 2,000 | 5,700 | 1,490 | 1,490 | 1,490 |
Table 2 Recharge areas (USGS, 1990) and rates * (Kendy et al., 2003; Shu et al., 2012; Cao, 2013) of the model’s three groundwater aquifer units |
Plain area | North mountainous | West mountainous | |
---|---|---|---|
Groundwater reservoir recharge area (M m2) | 141,398 | 6,648 | 7,673 |
Recharge rate (mm/year) | 120* | 92 | 115 |
Figure 3 Estimated monthly agricultural water demands for the model sub-basin 13 |
Table 3 List of abbreviations and units for the decision variables of the hydroeconomic optimization model |
Abbreviation | Explanation | Unit |
---|---|---|
FPSW | Flow via any surface water source flow path to a downstream user node | [M m3/month] |
FPGRSnorth | Flow via any North mountainous groundwater aquifer flow path to any connected user node | [M m3/month] |
FPGRSwest | Flow via any West mountainous groundwater aquifer flow path to any connected user node | [M m3/month] |
FPGRSplain | Flow via any plain area groundwater aquifer flow path to any connected user node | [M m3/month] |
Def | Water deficit for any water user node from not having its Dem fulfilled | [M m3/month] |
GRSplain | Groundwater aquifer storage in the plain area aquifer | [M m3] |
RR | Surface water reservoir release - a subset of FPSW | [M m3/month] |
RS | Surface water reservoir storage - a subset of FPSW | [M m3/month] |
Table 4 List of abbreviations and units for the parameters of the hydroeconomic optimization model |
Abbreviation | Explanation | Unit |
---|---|---|
Dem | Water demand for any water user node | [M m3/month] |
cc | Curtailment cost for any water user from a water demand deficit | [yuan/m3] |
cpump | Cost of delivering one unit of groundwater | [yuan/m3] |
I | Surface water inflow from either runoff or inter-basin transfer | [M m3/month] |
Re | Groundwater recharge to any given groundwater aquifer unit | [M m3/month] |
RSvol | Maximum storage capacity of any of the nine reservoirs | [M m3] |
Table 5 Curtailment costs of water demands for each of the 16 model sub-basins, seen in Figure 1 |
Sub-basin Curtailment cost | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low value crops1) | 1.8 | 1 | 1.3 | 1.3 | 1.6 | 1.6 | 1.2 | 1.2 | 1.6 | 1.2 | 1 | 1.8 | 3.3 | 1.3 | 1 | 1.6 |
High value crops1) | 13.6 | 7.4 | 12.3 | 12.3 | 24.7 | 24.7 | 39.2 | 39.2 | 14.95 | 39.2 | 7.4 | 13.6 | 14.2 | 12.3 | 7.4 | 24.7 |
Domestic2) | 2 | 2.7 | 2.7 | 2.7 | 2.6 | 2.3 | 2.3 | 2.5 | 2.1 | 2.6 | 5 | 4 | 3.2 | 3.5 | 4.9 | 2.3 |
Industry2) | 2.4 | 5.6 | 5.6 | 5.6 | 4.2 | 3.1 | 3.1 | 3.9 | 2.8 | 4.8 | 9.9 | 6.3 | 4.7 | 5.9 | 7.9 | 3.1 |
Ecological3) | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 | 1.5 |
Data sources: 1) Gan et al. (2008), 2) H2O (2017), 3) WB (2001) |
Table 6 Budyko model calibration results and associated Nash-Sutcliffe efficiency |
Calibration basin | Budyko parameters | Nash-Sutcliffe efficiency | ||||
---|---|---|---|---|---|---|
α1 | α2 | d | Smax | K | ||
Goutaizi | 0.33 | 0.95 | 0.89 | 1012 | 29 | 0.11 |
Pingshan | 0.52 | 0.85 | 0.0029 | 75 | 61 | 0.43 |
Kuangmenkou | 0.37 | 0.56 | 0.99 | 995 | 22 | 0.66 |
Figure 4 Runoff time series from all nine mountainous sub-basins in Haihe River basin upstream the nine model reservoirs, simulated with a calibrated Budyko rainfall-runoff model using meteorological forcing data from 2007 to 2014 |
Figure 5 Temporal groundwater storage of the plain area groundwater aquifer during the eight-year optimization period for the 11 model scenarios, from unlimited overdraft to sustainable groundwater abstractions |
Figure 6 Average shadow prices (yuan/m3) of surface water sources from the sub-basins in Haihe River basin (a. the unconstrained; b. the sustainable groundwater abstraction scenario; c. percentage increase in average shadow prices from constraining groundwater abstraction to a sustainable level) |
Figure 7 Temporal shadow prices of (a) surface water sources upstream Wangkuai reservoir and the West mountainous groundwater aquifer; (b) the inter-basin transfers from SNWTP and Yellow River and the plain area groundwater aquifer; (c) the geographic location of the sub-basins and groundwater aquifers |
Figure 8 Pareto front of all eleven groundwater overdraft scenarios from 100% to 0% overdraft |
Figure 9 Fractions of SNWTP mid line water resources allocations (a), and source specific absolute water allocations to Beijing (No.11) (b) |
Figure 10 Sensitivity analysis of four model output responses to a ±10% variation of various model input data |
The authors have declared that no competing interests exist.
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
Central Committee of the Communist Party of China (CPC), 2016. The 13th Five-Year Plan for Economic and Social Development of the People’s Republic of China, viewed 13/02/2018. .
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
Government of the People’s Republic of China (
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
[42] |
|
[43] |
|
[44] |
|
[45] |
|
[46] |
|
[47] |
|
[48] |
|
[49] |
|
[50] |
|
[51] |
|
[52] |
|
[53] |
|
[54] |
|
[55] |
|
[56] |
|
[57] |
|
[58] |
|
[59] |
|
[60] |
|
[61] |
|
[62] |
|
[63] |
|
/
〈 |
|
〉 |