Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation

Wang, Tao; Chen, Jiansheng; Wang, Ting; Wang, Shuang

doi:10.1007/s11069-014-1515-7

Cited by 42 publications

(22 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fourth is intermediately weathered quartz sandstone, with developed fissures, and the fissure surface is disseminated by iron-manganese. The last presents weakly weathered quartz sandstone with less fracture, with a cinereous color and a 10-25 cm cylindrical rock core [11].…”

Section: Tests and Resultsmentioning

confidence: 99%

“…Although these techniques allow for the uncertainty to be considered more explicitly, studies of the seepage system in a complex rock mass dam still suffer from major problems such as the small sample sizes and limited information. Therefore, dam leakage investigation through estimating the spatial distribution of the seepage field is quite difficult [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, it has been extensively used for tracer techniques in boreholes, such as a temperature indication, a conductivity tracer, and an interconnection test [11][12][13][14][15]. The parameters associated with the seepage velocity in the field are estimated either from the hydraulic conductivity obtained from a slug test and the observed head gradient, or by the point dilution method in boreholes [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of Seepage Velocity beneath a Complex Rock Mass Dam Based on Entropy Theory

Chen

Wang

et al. 2016

Entropy

Self Cite

View full text Add to dashboard Cite

Abstract:Owing to the randomness in the fracture flow system, the seepage system beneath a complex rock mass dam is inherently complex and highly uncertain, an investigation of the dam leakage by estimating the spatial distribution of the seepage field by conventional methods is quite difficult. In this paper, the entropy theory, as a relation between the definiteness and probability, is used to probabilistically analyze the characteristics of the seepage system in a complex rock mass dam. Based on the principle of maximum entropy, an equation for the vertical distribution of the seepage velocity in a dam borehole is derived. The achieved distribution is tested and compared with actual field data, and the results show good agreement. According to the entropy of flow velocity in boreholes, the rupture degree of a dam bedrock has been successfully estimated. Moreover, a new sampling scheme is presented. The sampling frequency has a negative correlation with the distance to the site of the minimum velocity, which is preferable to the traditional one. This paper demonstrates the significant advantage of applying the entropy theory for seepage velocity analysis in a complex rock mass dam.

show abstract

Section: Tests and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characterization of Seepage Velocity beneath a Complex Rock Mass Dam Based on Entropy Theory

Chen

Wang

et al. 2016

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…SPA is a multifunctional assessment method that is simple in concept and easy to apply [22], and it is a systematic analysis method that deals with uncertain problems; it is also an uncertainty theory that integrates certainty and uncertainty [23]. SPA is practical in various fields and can be used in the investigation of leaking water from a dam [24], quality assessment of groundwater [25], evaluation of surrounding rock stability [26], hazard assessment of debris flow and landslides [22,27], assessment of a water resources system [28], comprehensive risk assessment of floods [23], safety assessment of thermal power plants [29], risk assessment of water pollution sources [30], prediction analysis of integrated carrying capacity [31], and so on. In SPA, one of the cores is the confirmation of assessment index weight.…”

Section: Introductionmentioning

confidence: 99%

“…Several methods are involved in the confirmation of index weight. The information entropy method (IEM) can be utilized to confirm the index weight [22,24,25,30]. AHP can also be used to confirm the index weight [32,33].…”

Section: Introductionmentioning

confidence: 99%

Application of a Cloud Model-Set Pair Analysis in Hazard Assessment for Biomass Gasification Stations

Yan

2017

PLoS ONE

View full text Add to dashboard Cite

Because a biomass gasification station includes various hazard factors, hazard assessment is needed and significant. In this article, the cloud model (CM) is employed to improve set pair analysis (SPA), and a novel hazard assessment method for a biomass gasification station is proposed based on the cloud model-set pair analysis (CM-SPA). In this method, cloud weight is proposed to be the weight of index. In contrast to the index weight of other methods, cloud weight is shown by cloud descriptors; hence, the randomness and fuzziness of cloud weight will make it effective to reflect the linguistic variables of experts. Then, the cloud connection degree (CCD) is proposed to replace the connection degree (CD); the calculation algorithm of CCD is also worked out. By utilizing the CCD, the hazard assessment results are shown by some normal clouds, and the normal clouds are reflected by cloud descriptors; meanwhile, the hazard grade is confirmed by analyzing the cloud descriptors. After that, two biomass gasification stations undergo hazard assessment via CM-SPA and AHP based SPA, respectively. The comparison of assessment results illustrates that the CM-SPA is suitable and effective for the hazard assessment of a biomass gasification station and that CM-SPA will make the assessment results more reasonable and scientific.

show abstract

Changing of flood risk due to climate and development in Huaihe River basin, China

Zhong

et al. 2016

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation

Cited by 42 publications

References 56 publications

Characterization of Seepage Velocity beneath a Complex Rock Mass Dam Based on Entropy Theory

Characterization of Seepage Velocity beneath a Complex Rock Mass Dam Based on Entropy Theory

Application of a Cloud Model-Set Pair Analysis in Hazard Assessment for Biomass Gasification Stations

Changing of flood risk due to climate and development in Huaihe River basin, China

Contact Info

Product

Resources

About