Influence Analysis of Flow-Sediment Processes on River Health

2011 ◽  
Vol 356-360 ◽  
pp. 2389-2392
Author(s):  
Xue Lan Sun ◽  
Chun Hong Hu ◽  
Jing Qi Xie

The paper analyses the affecting factors of river health points that river channel health is the key and foundation of river health. It proposes the index system for the Lower Yellow River's channel health and sets the appropriate evaluation criteria and indicator weight. It evaluates the Lower Yellow River's channel health using fuzzy comprehensive evaluation method and gets the conclusion that the Lower Yellow River's channel health has deteriorated in 50 years and has not improved until the beginning of this century. Finally, the paper points that river health is closely related to flow-sediment processes and the coordination of flow-sediment relationship is the key to maintaining the health of the Lower Yellow River.

2011 ◽  
Vol 368-373 ◽  
pp. 1241-1244
Author(s):  
Xue Lan Sun ◽  
Chun Hong Hu ◽  
Jing Qi Xie

Based on the current situation of the Lower Yellow River channel, this paper analyses the factors affecting river health, points out that river channel health is the foundation and key to river health. It evaluates the Yellow River's downstream channel health using fuzzy comprehensive evaluation method and gets the conclusion that the Yellow River's downstream channel health has deteriorated in 50 years and has improved in the beginning of this century. This paper analyses and points out that the reservoir to regulate natural flow-sediment process is the primary means that the human impact on river health. The regulation of reservoir has duality that "excessive" regulation will seriously damage river health and "moderate" regulation can better maintain and restore river health. Coordination of flow-sediment relationship is the key to maintaining the health of the Lower Yellow River.


2011 ◽  
Vol 71-78 ◽  
pp. 3946-3949 ◽  
Author(s):  
Na Dong ◽  
Jing Zhang ◽  
Min Jiu Yu

A competitive contractor is the guarantee of project’s success, so how to choose a suitable contractor is critical for the owners. However, among the influencing factors considered in the selection, some can be quantitatively evaluated with clear evaluation criteria while others can only be qualitative evaluated so that no specific scores can be obtained. For the above reasons an improved fuzzy comprehensive evaluation method is proposed in which all assessment factors are divided into two categories and are evaluated with different criteria. The method integrates the advantage of quantitative evaluation and qualitative evaluation. Finally it is verified by a case and the result shows that the application of the improved fuzzy approach to choose contractor is effective and reasonable.


2012 ◽  
Vol 463-464 ◽  
pp. 1533-1537
Author(s):  
Zhi Bin Zhang

This article based on the analysis of the characteristics and the content of the Mobile Scaffolding System (MSS) safety assessment, and according to the on-site inspection of the two MSSs, constructed the MSS metal structure safety assessment index system, and applied the expert scoring method to give the importance degree of every index, finally put forward the fuzzy comprehensive evaluation method for the evaluation criteria.


2019 ◽  
Vol 10 (2) ◽  
pp. 35 ◽  
Author(s):  
Qiushuo Li ◽  
Yong Xiao ◽  
Shuaishuai Zhao ◽  
Xianwen Zhu ◽  
Zongyi Wang ◽  
...  

Performance status evaluation is essential for the safe running of electric vehicle (EV) charging infrastructure. With the development of the EV industry, the EV charging infrastructure industry has advanced considerably. Safe and reliable operation of the charging infrastructure is important for the development of EVs. As such, we propose a comprehensive evaluation method to assess the performance condition of an EV charging infrastructure. First, based on the analysis of the existing EV charging principles, we established an evaluation index system for EV charging infrastructure. Second, the subjective weight, objective weight, and comprehensive weight of the index system were determined through analytic hierarchy processes (AHP) and the entropy weight method. Then, we used fuzzy comprehensive evaluation to appraise the performance of the charging infrastructure through expert investigation. Finally, based on the actual data from an EV charger, the performance conditions of the EV charging infrastructure were evaluated to demonstrate the feasibility of the method and the reliability of the index system.


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