A cooperative game model with bankruptcy theory for Water Allocation: A case study in China Tarim River Basin

Abstract China Tarim River Basin is located in an arid area, whose rapid socioeconomic development intensifies the current water resources shortage. To allocate water resources reasonably, this paper introduces the bankruptcy theory into the cooperative game model to contract a linear function describing the degree of satisfaction of each region's declared water demand. Bankruptcy theory solves the problem of insufficient information about players in the cooperative game. From the perspective of the cooperative game's stability, the bankruptcy allocation stability index (BASI) is used to evaluate and compare water resource allocation results in the Tarim River Basin in 2025 and 2030 under different scenarios. Moreover, this paper uses the improved TOPSIS model to build the harmony index of water-economy-environment (HWEE) to evaluate the harmony of water resources, economy and environment in each region. The results show that the model is more suitable for the actual water allocation game and has a good application value than the classical bankruptcy theory. Moreover, the stability index and HWEE proposed in this paper also have better applicability, and the allocation scheme with the same game weight in each region is more stable.

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A cooperative game model with bankruptcy theory for water allocation: a case study in China Tarim River Basin

Environmental Science and Pollution Research ◽

10.1007/s11356-021-15748-8 ◽

2021 ◽

Author(s):

Jiahe Tian ◽

Yang Yu ◽

Tongshu Li ◽

Yi Zhou ◽

Jingjun Li ◽

...

Keyword(s):

River Basin ◽

Cooperative Game ◽

Water Allocation ◽

Tarim River ◽

Tarim River Basin ◽

Game Model ◽

Bankruptcy Theory ◽

Cooperative Game Model

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Evaluating Cryospheric Water Withdrawal and Virtual Water Flows in Tarim River Basin of China: An Input–Output Analysis

Sustainability ◽

10.3390/su13147589 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7589

Author(s):

Yang Yang ◽

Shiwei Liu ◽

Cunde Xiao ◽

Cuiyang Feng ◽

Chenyu Li

Keyword(s):

Water Resources ◽

River Basin ◽

Socioeconomic Development ◽

Virtual Water ◽

Water Withdrawal ◽

Tarim River ◽

Tarim River Basin ◽

Input Output ◽

Output Analysis ◽

Water Flows

In Tarim River Basin (TRB), the retreat of glacier and snow cover reduction due to climate warming threatens the regional economy of downstream basins that critically depends on meltwater. However, the quantitative evaluation of its impact on multiple sectors of the socioeconomic system is incomplete. Based on compiled regional input–output table of the year 2012, this study developed a method to analyze the relationships between economic activities and related meltwater withdrawal, as well as sectoral transfer. The results show that the direct meltwater withdrawal intensity (DMWI) of agriculture was much higher than other sectors, reaching 2348.02 m3/10,000 CNY. Except for A01 (agriculture) and A02 (mining and washing of coal), the embodied meltwater withdrawal (EMW) driven by the final demand of other sectors was greater than direct meltwater withdrawal, and all sectors required inflows of virtual water (72.45 × 108 m3, accounting for 29% of total supply from cryospheric water resources) for their production processes in 2012. For sectors with high DMWI, improving water-use efficiency is an effective way to reduce water withdrawal. To some extent, the unbalanced supply of cryospheric water resources due to geographical segregation can be regulated by virtual water flows from water-saving to water-intensive sectors. Such decisions can affect the balance between socioeconomic development and environment conservation for long-term sustainability.

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Comparing bias correction methods in downscaling meteorological variables for hydrologic impact study in an arid area in China

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-11-12659-2014 ◽

2014 ◽

Vol 11 (11) ◽

pp. 12659-12696 ◽

Cited By ~ 4

Author(s):

G. H. Fang ◽

J. Yang ◽

Y. N. Chen ◽

C. Zammit

Keyword(s):

Water Resources ◽

River Basin ◽

Bias Correction ◽

Meteorological Data ◽

Hydrologic Model ◽

Temperature Correction ◽

Arid Area ◽

Tarim River ◽

Tarim River Basin ◽

Impact Study

Abstract. Water resources are essential to the ecosystem and social economy in the desert and oasis of the arid Tarim River Basin, Northwest China, and expected to be vulnerable to climate change. Regional Climate Models (RCM) have been proved to provide more reliable results for regional impact study of climate change (e.g. on water resources) than GCM models. However, it is still necessary to apply bias correction before they are used for water resources research due to often considerable biases. In this paper, after a sensitivity analysis on input meteorological variables based on Sobol' method, we compared five precipitation correction methods and three temperature correction methods to the output of a RCM model with its application to the Kaidu River Basin, one of the headwaters of the Tarim River Basin. Precipitation correction methods include Linear Scaling (LS), LOCal Intensity scaling (LOCI), Power Transformation (PT), Distribution Mapping (DM) and Quantile Mapping (QM); and temperature correction methods include LS, VARIance scaling (VARI) and DM. These corrected precipitation and temperature were compared to the observed meteorological data, and then their impacts on streamflow were also compared by driving a distributed hydrologic model. The results show: (1) precipitation, temperature, solar radiation are sensitivity to streamflow while relative humidity and wind speed are not, (2) raw RCM simulations are heavily biased from observed meteorological data, which results in biases in the simulated streamflows, and all bias correction methods effectively improved theses simulations, (3) for precipitation, PT and QM methods performed equally best in correcting the frequency-based indices (e.g. SD, percentile values) while LOCI method performed best in terms of the time series based indices (e.g. Nash–Sutcliffe coefficient, R2), (4) for temperature, all bias correction methods performed equally well in correcting raw temperature. (5) For simulated streamflow, precipitation correction methods have more significant influence than temperature correction methods and the performances of streamflow simulations are consistent with these of corrected precipitation, i.e. PT and QM methods performed equally best in correcting flow duration curve and peak flow while LOCI method performed best in terms of the time series based indices. The case study is for an arid area in China based on a specific RCM and hydrologic model, but the methodology and some results can be applied to other area and other models.

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