scholarly journals Comprehensive Evaluation of Flood and Flood in the Yellow River Basin Based on Gray Correlation Analysis

2021 ◽  
Vol 09 (01) ◽  
pp. 13-24
Author(s):  
Han Mo
2014 ◽  
Vol 18 (5) ◽  
pp. 1605-1623 ◽  
Author(s):  
K. K. Liu ◽  
C. H. Li ◽  
Y. P. Cai ◽  
M. Xu ◽  
X. H. Xia

Abstract. In this paper, a fuzzy multi-attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left–right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi-attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA), weighted product (WP), cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS). Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco-environment statuses in the above-mentioned provinces should be prioritized in the future planning of the Yellow River basin.


2014 ◽  
Vol 11 (1) ◽  
pp. 371-410
Author(s):  
K. K. Liu ◽  
C. H. Li ◽  
Y. P. Cai ◽  
M. Xu ◽  
X. H. Xia

Abstract. In this paper, a Fuzzy Multi-Attribute Decision Analysis Approach (FMADAA) was adopted in water resources security evaluation for the nine provinces in the Yellow River basin in 2006. A numerical approximation system and a modified left-right scoring approach were adopted to cope with the uncertainties in the acquired information. Four multi-attribute decision making methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA), weighted product (WP), cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS) which could be used for helping rank the water resources security in those nine provinces as well as the criteria alternatives. Moreover, several aggregation methods including average ranking procedure, borda and copeland methods were used to integrate the ranking results. The ranking results showed that the water resources security of the entire basin is in critical, insecurity and absolute insecurity state, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, future planning of the Yellow River basin should mainly focus on the improvement of water eco-environment status in the provinces above.


2021 ◽  
Author(s):  
Jinhui ZHAO ◽  
Yufeng WANG ◽  
Yongbo XIA ◽  
Lijun ZHANG

Abstract Background:The high-quality development in the Yellow River Basin has to be fostered by the coordination of resources, environment, and economy. Therefore, conducting an analysis on the coupling level of resources, environment, and economy in the Yellow River Basin is of major significance to the research on its high-quality development path. Methods:Based on the data of the nine provinces in the Yellow River Basin from 2004 to 2017, a coupling development model is constructed for an analysis of the coupling level in this area and a modeling prediction. A comprehensive evaluation of the development level of Resources-Environment-Economy system and the subsystems in the Yellow River Basin is performed by combining the range change method and entropy weight method. Results:The result shows that despite the rising coupling level of resources, environment, and economy in the Yellow River Basin, the comprehensive evaluation value of the environment subsystem is low, which was merely 0.109 in 2017 and has remained unchanged between 2009 and 2017, resulting in a low coupling coordination degree of Resources-Environment-Economy. In 2017, the coupling coordination degree was only 0.454. The development was on the verge of imbalance and the high-quality coordinated development of the Yellow River Basin has been restricted. The simulated prediction indicates that the coordinated development of Resources-Environment-Economy in the Yellow River Basin can only be realized by overcoming the disadvantages of the ecological and economic systems. Conclusions:When the comprehensive evaluation value of environmental subsystem increases by 0.2 and that of economic subsystem increases by 0.1, all the systems are just coordinated; when the comprehensive evaluation value of each subsystem reaches 0.65, the development of the systems of Resources-Environment-Economy in the Yellow River Basin are well coordinated.


Agronomy ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 271
Author(s):  
Jing Chen ◽  
Liantao Liu ◽  
Zhanbiao Wang ◽  
Hongchun Sun ◽  
Yongjiang Zhang ◽  
...  

The objective of this study was to assess the impacts of nitrogen on the physiological characteristics of the source–sink system of upper fruiting branches under various amounts of nitrogen fertilization. A two-year field experiment was conducted with a Bt cotton cultivar in the Yellow River Basin of China. The growth and yield of cotton of the upper fruiting branches were compared under four nitrogen levels: Control (N0, 0 kg ha−1), low nitrogen (N1, 120 kg ha−1), moderate nitrogen (N2, 240 kg ha−1), and high nitrogen (N3, 480 kg ha−1). The results indicated that in the subtending leaves in upper fruiting branches, chlorophyll content, protein content, and peroxidase (POD) activity dramatically increased with nitrogen application, reaching the highest under the moderate nitrogen treatment. The physiological characters in the seeds had the same trends as in the subtending leaves. Furthermore, the moderate nitrogen rate (240 kg ha−1) had a favorable yield and quality. Our results supported that a moderate nitrogen rate (240 kg ha−1) could coordinate the source–sink growth of cotton in the late stage, enhance the yield and fiber quality, and decrease the cost of fertilizer in the Yellow River Basin of China and other similar ecological areas.


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