scholarly journals Risk and benefit analysis of multifunctional reservoir staged operating

Author(s):  
Chongxun Mo ◽  
Yifan Wu ◽  
Yuli Ruan ◽  
Shutan Zhao ◽  
Juliang Jin

Abstract An optimal flood-limiting water level (FLWL) is needed to solve the contradiction between flood control safety measures and utilizable benefits. Therefore, this paper took the Chengbi River reservoir as an example, applied the Monte Carlo stochastic simulation and water consumption rate per unit of electrical energy methods to calculate the flood control risks and benefits associated with raising the FLWL in stages, and used the fuzzy comprehensive evaluation method to select the optimal FLWL for each stage of the flood season, which provided a scientific basis for the effective use of rainfall and flood data in the reservoir. The major outcomes of the study are as follows: (1) The reservoir flood season can be divided into a preflood season (April to May), a main flood season (June to August), and a later flood season (September to October). (2) The flood risks and power generation benefits of the reservoir are calculated after raising the FLWL, the optimal FLWL for the main flood season is 185.5 m, and the optimal FLWL for the later flood season is 187.50 m, while the FLWL in the preflood season should be kept at 185.0 m. The above results can provide scientific support for flood control safety planning and the optimal operation of reservoirs.

2013 ◽  
Vol 671-674 ◽  
pp. 35-38
Author(s):  
Chun Yuan Liu ◽  
Jian Zhu Sun ◽  
Yu Liu

In this paper, taking the Zhengding new district of Shijiazhuang city as an example, we put forward to take advantages of analytic hierarchy process and rough set theory and combine them with fuzzy comprehensive evaluation method to do the quantitative analysis of suitability of the engineering geology conditions of urban construction land .It can make the evaluation more objective. This paper divides study area into the most suitable,suitable,less suitable and unsuitable,and provides a strong scientific basis for the design and planning.


2014 ◽  
Vol 962-965 ◽  
pp. 2621-2625
Author(s):  
Wen Bo Wang ◽  
Kai Chen ◽  
Dong Xi Shi ◽  
Xue Jiao Li ◽  
Ming Nan Ji

Many factors affect mining village relocation, with ambiguity and uncertainty among themselves. Fuzzy comprehensive evaluation method can consider various influencing factors with hierarchical design, thus quantitative studies various fuzzy relationships; ultimately get the fuzzy evaluation results by fuzzy operation. Practice shows that it is objective practical to use fuzzy comprehensive evaluation method to research village relocation, which will provide scientific basis for design-making.


2012 ◽  
Vol 170-173 ◽  
pp. 1893-1896
Author(s):  
Jun Pan ◽  
Te Leng

Shifosi reservoir is a collection of flood control and urban water supply function in one of the plain reservoir. After reservoir water built, the surrounding residential and agricultural cultivated land produced serious phenomenon of immersion. In order to solve the environmental geological disaster problems caused by Shifosi reservoir retain water, this paper uses the fuzzy comprehensive evaluation method to evaluate the immersion. It used fuzzy math theory and analysed the produce condition of reservoir immersion, then built the immersion grade evaluation target system and standard value , and maked out the estimating index weight with analytic hierarchy process, which influence immersion grade. According to the evaluation results, puts forward well pumping water solution, and finally achieve control ling the phenomenon of immersion ,at the same time pumping groundwater can be as Shenyang water supply sources. To achieve the effect of kill two birds with one stone. On this study of Shifosi reservoir immersion to solve engineering problems and provide the scientific and feasible basis. This study selected of evaluation factors immersion degree. Evaluation standards to similar problems of great reference value, and for immersion degree of evaluation has provided a new way.


2014 ◽  
Vol 644-650 ◽  
pp. 3463-3467
Author(s):  
Xiang Ping Meng ◽  
Lin Li ◽  
Hui Wang ◽  
Xiu Ji

It is very vital for the distribution transformer in the distribution system, crucially ensuring its reliable operation is, therefore, timely and accurately grasping the state of the transformer is very meaningful for guiding the condition maintenance of transformer and improving the operation reliability of distribution system. It is very difficult for AHP to inspect and adjust the consistency of judgment matrix, and its inspection standard lacks of scientific basis, so we put forward a fuzzy comprehensive evaluation method which uses five-demarcation method to establish the fuzzy complementary matrix on the condition assessment of distribution transformer. Through an example analysis, which proposed method is proved to be rationality and validity.


2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.


2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.


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