Calculation of the water resources dynamic carrying capacity of Tarim River Basin under climate change

2018 ◽  
Vol 119 ◽  
pp. 243-252
Author(s):  
Xiu-Yu Zhang ◽  
Qi-Ting Zuo ◽  
Qi-Xiang Yang
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Carrying Capacity ◽  
Tarim River ◽  
Tarim River Basin

Effects of climate change on water resources in Tarim River Basin, Northwest China

2007 ◽  
Vol 19 (4) ◽  
pp. 488-493 ◽  
Author(s):  
Ya-ning CHEN ◽  
Wei-hong LI ◽  
Chang-chun XU ◽  
Xin-ming HAO
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Northwest China ◽  
Tarim River ◽  
Tarim River Basin

scholarly journals Variable fuzzy evaluation model for water resources carrying capacity in the Tarim River Basin, China

2021 ◽  
Author(s):  
Lihong Meng ◽  
Youcun Liu ◽  
Weijing Ma ◽  
Qingyun Wang ◽  
Xiaoli Mo ◽  
...  
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Carrying Capacity ◽  
Evaluation Model ◽  
Tarim River ◽  
Tarim River Basin ◽  
Fuzzy Evaluation ◽  
The Tarim River ◽  
Water Resources Carrying Capacity ◽  
The Tarim River Basin

Abstract As one of the most serious water-shortage regions of China, the shortage of water resources and ecological deuteration of the Tarim River Basin has increasingly attracted attention, and management and sustainable utilization of water resources rely mostly on the understanding of their carrying capacity. In the present study, water resources carrying capacity of the Tarim River Basin was evaluated using a multi-dimensional perspective of nature, society and economy factors based on a variable fuzzy evaluation model for the 2018 hydroclimatic conditions. Evaluation model results rated Aksu, Kizilsu, Kashi and Hotan districts as grade 2, where water resources current use and overexploitation have reached a relatively high level combined with a limited water resources carrying capacity. Bazhou district, where the water resources carrying capacity is relatively higher was evaluated and rated as grade 1 by the model. It is urgent to put forward some strategies in order to protect and improve the water resources carrying capacity in the Tarim River Basin which include promoting more efficient utilization of water conservation schemes, strengthening the long-term investment in environmental protection, improving the ratio of industrial wastewater treatment and reducing the industrial water quota. The results of the present study are aimed to be a beneficial guide in the planning and management of the Tarim's River basin water resources and possibly for other similar river basins.

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

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.

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

2014 ◽  
Vol 11 (11) ◽  
pp. 12659-12696 ◽  
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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