A catastrophe progression approach based index sensitivity analysis model for the multivariate flooding process

Wang, Lina; Chen, Xiaohong; Xu, Yongxin; Huang, Mingzhi

doi:10.1007/s00477-016-1339-y

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…This technique is derived from change in the state of a nonlinear system, and is very easy to understand and operate. Since it considers the relative importance of evaluation indices instead of merely weighting them, the subjectivity is significantly reduced [47].…”

Section: Techniques Applied In Comprehensive Evaluationmentioning

confidence: 99%

Applying catastrophe progression method to evaluate the service quality of cold chain logistics

Zhang

Shi

Qiu

2020

Complex Intell. Syst.

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Logistics service quality (LSQ) is one of the key influential factors in the success of an ecommerce business. In view of the complexity of the topic, this paper proposes a novel model for fresh ecommerce cold chain LSQ evaluation based on the catastrophe progression method. In the proposed methodology, first an index system for evaluating the fresh ecommerce cold chain LSQ is established from the perspective of service recipients. Then, the comprehensive weight of each evaluation index is determined using a combination weighting approach based on maximizing deviations and fuzzy set theory. The priority weights and the ranking of the indices are determined using the catastrophe progression method. Finally, the model is applied in a case study of two representative enterprises. The study demonstrates the validity and practical applicability of the proposed model. Also, based on the evaluation results and findings, some improvement suggestions are made for improving the cold chain LSQ of similar kinds of fresh ecommerce companies.

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Section: Techniques Applied In Comprehensive Evaluationmentioning

confidence: 99%

Applying catastrophe progression method to evaluate the service quality of cold chain logistics

Zhang

Shi

Qiu

2020

Complex Intell. Syst.

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“…On global scale, climate warming will very likely cause more flood inundations in coastal regions in the future. Coastal urban areas are floodplains with low-lying terrain and face the influence of multiple natural drivers (Wang et al 2018), such as sea level rise, storm surge, rainfall, river discharge, astronomical high tide level, etc, any of which drivers can directly lead to flooding in the region. In reality, heavy rains and high tide levels often occur simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions

Zhang

Liu

Tang

et al. 2022

Stoch Environ Res Risk Assess

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With climate change leading to sea level rise and the frequent occurrence of extreme weather events, extreme flood disasters occur frequently in coastal cities, especially under the combined influence of heavy rainfall, fluvial floods, and storm surges. Compound floods from multiple sources are prone to superimposing effects, greatly aggravating the flooding. In addition, the influence of anthropogenic activities such as man-made flood control projects in coastal regions also need exploring. With Ling River Basin in the eastern coastal area of China as the case study, this study investigated the impacts of natural and human drivers on the spatio-temporal distribution of extreme floods based on a 1D-2D coupled hydrodynamic model. The hydrodynamic model was calibrated and validated based on historical flood events, then validated model was further used to reproduce the devastating flooding of Typhoon Lekima in 2019. Results show that the model has great capability and accuracy in simulating both the flood occurrence process and its inundation extent under natural and anthropogenic influence. It also indicates that the huge amount of discharge from the upper reaches of the Ling River was the main driver that caused the catastrophic consequences. Comparatively, the failure of flood protection measures (FPM), which was a human driver, aggravated the influence of floods in local regions. By assessing the individual and superimposed effects of natural and human drivers on flooding is helpful to enhance the resilience of flooded coastal areas.

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Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province

Song

Yang

2018

Journal of Water and Climate Change

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In order to assess the water resources carrying capacity (WRCC) of Hubei province, an improved catastrophe progression method based on M-K test and correlation analysis was established. This model includes evaluation, abrupt change test and correlation analysis. It can make a comprehensive assessment of water resource carrying capacity in a certain area. The evaluation results of this model are clear and can effectively avoid the effects of subjective weight and, in addition, it can also streamline the index system. We applied the model to study the WRCC of Hubei province from 2005 to 2016, considering the supply and demand of water resources, ecological environment, economy and society. The results showed that the WRCC of Hubei province is at the ‘weak’ level, presenting a certain development and utilization potential, but it must be strictly controlled and moderately developed. The WRCC of Hubei province is improving, but must be adjusted by water conservation facilities and long-term management policies to prevent the foreseeable deterioration. Water supply and demand systems and ecological environment systems were found to be the driving factors of WRCC through correlation analysis. This approach gives the decision-makers suggestions about water resource sustainable utilization.

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A catastrophe progression approach based index sensitivity analysis model for the multivariate flooding process

Cited by 4 publications

References 31 publications

Applying catastrophe progression method to evaluate the service quality of cold chain logistics

Applying catastrophe progression method to evaluate the service quality of cold chain logistics

Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions

Catastrophe progression method based on M-K test and correlation analysis for assessing water resources carrying capacity in Hubei province

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