scholarly journals Assessment of the Tarim River basin water resources sustainable utilization based on entropy weight set pair theory

2018 ◽  
Vol 19 (3) ◽  
pp. 908-917 ◽  
Author(s):  
Shibao Lu ◽  
Yizi Shang ◽  
Wei Li

Abstract Scientific assessment provides important tools for the sustainable use of water resources. This paper applies the set pair theory of entropy weight to evaluate the uncertainty involved. A preliminary classification of samples is conducted by calculating the connection degree of each evaluation index, and then uniform, differential and confrontational analyses of set pairs are carried out on the samples to identify their level. In identifying the weight of each evaluation index, the entropy value theory of information theory is introduced into the model. Combined with Tarim 2004 to 2007 water resource data, an evaluation of the sustainable water resource utilization in this region is made from the social and economic, water resource and ecological environmental water resource evaluation index system. The results show that the development and utilization of water resources in the Sanyuanliu region of Tarim are saturated, and the utilization of water resources in the Hotan region (III), Aksu region (III) and Kashgar region (III) appears to be unsustainable. After a comparison with other methods, it is concluded that the evaluation result provided by the method is reasonable and objective.

2013 ◽  
Vol 726-731 ◽  
pp. 4123-4130
Author(s):  
Hai Jiao Liu ◽  
Yu Zhi Shi ◽  
Ming Yuan Fan ◽  
Ji Wen Huang ◽  
Hua Wei Chen ◽  
...  

Water resources vulnerability evaluation has important significance to guide the water resources management and water ecological environment protection. This paper builds the water resources vulnerability evaluation index system from three aspects of natural, human and bearing capacity and integrates matter-element theory with entropy weight to construct the matter-element extension evaluation model of water resources vulnerability. The area of Shandong Province is selected for study, and the proposed model and evaluation index system are applied to respectively evaluates the water resources vulnerability of each city, the results show that the proposed model has a efficient performance, and water resources vulnerability evaluated is higher in whole study area and varies significantly in space, moreover, the northwestern cities are higher, on the contrary, the southeastern cities are lower.


2021 ◽  
Vol 13 (14) ◽  
pp. 7589
Author(s):  
Yang Yang ◽  
Shiwei Liu ◽  
Cunde Xiao ◽  
Cuiyang Feng ◽  
Chenyu Li

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.


2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.


2013 ◽  
Vol 864-867 ◽  
pp. 2249-2256
Author(s):  
Xin Jian Guan ◽  
Yu Meng ◽  
Ze Ning Wu

This paper presents a method for selecting indexes based on cloud model. The natural language qualitative evaluation of water resources utilization efficiency (WRUE) indexes from several experts were converted into quantitative score values. The randomness and fuzziness of conversion process could be fully reflected. Based on the basic index set of WRUE and fifty experts` comments, cloud model was used to calculate each index`s value. Finally, eight indexes covering overall, agricultural, industrial and living industry were selected to construct the evaluation index system. Cloud model is convenient, objective, and the calculation process is simple. The construction of evaluation index system lays a good foundation for the evaluation of WURE.


2014 ◽  
Vol 11 (11) ◽  
pp. 12659-12696 ◽  
Author(s):  
G. H. Fang ◽  
J. Yang ◽  
Y. N. Chen ◽  
C. Zammit

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.


2013 ◽  
Vol 671-674 ◽  
pp. 2928-2936 ◽  
Author(s):  
Zheng Yu Wang ◽  
Wei Dong Chen ◽  
Hua Fei Jia ◽  
Chen Bing Li

In the background of the integration, how to scientifically and reasonably distribute transfer hubs becomes the problem needed to be solved urgently on traffic experts. First of all, this paper gives initial selections of transfer hub layout planning; then, on the basis of analyzing the influence factors of the layout planning, the evaluation index system is built; and based on rough set attribute reduction knowledge, the cluster analysis of initial selections is done by using the SOFM neural network, drawing the suboptimal alternatives; afterwards, through the establishment of the TOPSIS model based on entropy weight, the suboptimal alternatives are further optimalized, ultimately getting the optimal solution; finally, taking the haidian district of Beijing as an example, the model and algorithm of the subject are validated.


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