A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation

Yan, Yan; Zhang, Yu; Wang, Hu; Guo, Xiaojun; Ma, Chao; Wang, Ziang; Zhang, Qun

doi:10.1007/s11629-019-5812-1

Cited by 9 publications

(7 citation statements)

References 70 publications

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“…The method, providing a path for the objective selection of the I-D curve, used receiver operating characteristic curve (ROC) to find the equilibrium solution under the conditions of minimum false/fail alarm rate and maximum accuracy rate based on the outputs from the upper limit method and the lower limit method (Staley et al, 2013). Besides, as an empirical statistical method, the same purpose, that is, objectively setting the critical point, can also be realized by using trial and error or multi-objective optimization algorithms (Wu et al, 2018;Yan et al, 2020).…”

Section: Rainfall Indicator Methodsmentioning

confidence: 99%

Research Progress of Initial Mechanism on Debris Flow and Related Discrimination Methods: A Review

Fan

et al. 2021

Front. Earth Sci.

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The initial of debris flow can be classified into two types based on their triggering positions, that is, debris flow from slope and debris flow from gully or channel. For the former, great progress has been achieved on the mechanisms of soil failure and liquefaction. The framework established by a series of theories or laws, such as the Mohr–Coulomb criteria, the unsaturated soil mechanics, and the critical state of soil mass, has been used widely in industry and research. However, the details and discrimination basis for the transformation process from landslide into debris flow still need to be further clarified. Relatively, debris flow from gully or channel is more complex due to its various mass sources and the diversity of processes. Nevertheless, through a great number of case studies and experimental statistics, people have gradually recognized the influential rule and critical condition of factors from landform, hydrology, and other aspects on debris flow initiation. Furthermore, based on the theories of granular flow, continuum mechanics, and rheological law, some typical event-based scenarios can also be reproduced by different single-/two-phase depth integral/average numerical models. However, some key knowledge on mechanism and application level is still insufficient, such as the erosion and entrainment mechanism of materials from different sources, the boundary tractions and materials exchange, as well as the selection of prediction indicators. Three current discriminated methodologies for debris flow initiation, that is, the safety factor method, the rainfall indicator method, and the comprehensive assessment method, were summarized in this article. Considering the technical limitation of each methodology, it is believed that the establishment or improvement of a unified, stable, and open-access database system for event registration and query, as well as the development of large-scale and high-precision rainfall monitoring, is still regarded as the important aspect of debris flow prevention in the future. In addition, as an economic and efficiency means for obtaining information on potential threats and real-time hazard messages, the multielement method for debris flow is recommended as a long-term reference.

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Section: Rainfall Indicator Methodsmentioning

confidence: 99%

Research Progress of Initial Mechanism on Debris Flow and Related Discrimination Methods: A Review

Fan

et al. 2021

Front. Earth Sci.

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“…We have established an early warning system driven by both the physical model and the data model. Within the framework of the traditional physical early warning model, the early warning threshold is continuously adjusted and optimized through the multiobjective evolutionary optimization method (Yan et al, 2020). Once the occurrence of hazards is forewarned, numerical simulation scenarios and data mining methods are used to quickly make recommendations for downstream risks.…”

Section: Trend Estimation and Recommendationsmentioning

confidence: 99%

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

et al. 2022

Self Cite

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Pipelines are important methods of oil and gas transportation and are fundamental to many country’s economies. Pipeline safety is a critical issue; over 96% of pipeline accidents due to ground movement are caused by slope hazards and these can lead to serious personnel and property losses. Therefore, effective pipeline slope hazard monitoring and early warning is crucial, but there are many limitations to existing measures. The recent advance in remote sensing technologies enables the collection of slope hazards information that maps the spatial distribution of landslide. But this approach cannot provide real-time monitoring and early warning as there is a time lag due to image processing. Also, pipelines are considered separately from the slope hazard, with only slope event occurrence assessed rather than quantification of the impact of the hazard on the pipeline. Here, we report on a whole process risk management system for the pipeline slope hazard, incorporating monitoring and early warning of pipeline slope hazards. Three sites at risk of slope hazard on the Guangdong Dapeng Liquefied Natural Gas (LNG) Company pipeline in Guandong, South China - Zhangmutou, Huoshaogang and Dapeng New District - were selected for research and implementation of the whole process risk management, monitoring and early warning system. The system is shown to operate well and, overall, we found that the three sites are relatively stable at present. This research provides widely applicable guidance for the prevention, control, and early warning of pipeline slope hazards.

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“…Bnyak penetian mengenai program tujuan ganda. Banyak aplikasi dari program tujuan ganda antara lainnya yaitu pada cash management (Salas-Molina & Rodríguez-Aguilar, 2018), inisiasi aliran debris (Yan et al, 2020), industri fashion (Du et al, 2015), persoalan rute kendaraan (Biswas et al, 2021).Dalam perencanaan perlu didlakukan analisis target dimasa depan dengan teknik peramalan (forecasting). Banyak aplikasi dalam peramalan dalam optimisasi program tujuan ganda antara lain peramalan pada beban listrik (Zhang et al, 2019), kecepatan angin (Wang et al, 2021), regional ekonomi (Yang, 2021), irigasi air (Luo et al, 2021) Dalam pengambilan keputusan terkadang harus memperhatikan prioritas tujuan (Zuhanda, et al, 2020).…”

Section: Pendahuluanunclassified

Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits

Zuhanda

Suwilo

Sitompul

et al. 2022

JITE

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In today's business competition, educational institutions or courses require optimizing profits. However, this is not easy because, in its implementation, there are many priority objective functions that must be fulfilled. In this case, the course institution has different class programs, namely literacy, numeracy, and math olympiad programs, with various operational costs per program type and course fees per program type. This problem requires setting priorities because of the limited number of revenues, operating costs, and profit targets. In this paper, the researcher uses Winter's Exponential Smoothing forecasting model to determine the number of students, operating costs, and profits in the following year. Then the researcher analyzes the planning with the goal programming method to minimize the deviation of the multi-objective programming. This research shows that the number of student admissions who can meet market demand for January 2021 decreased by 5.41%, in February decreased by 3.20%, in March decreased by 1.29%, April remained constant, in May increased by 1.44%, June increased by 2.16%, July increased 2.82%, August increased 2.78%, September increased 3.47%, October increased 3.22%, November an increase of 3.33%, and for December an increase of 2.69%. The total operational cost that does not exceed the target limit is Rp. 30,475,0000 for one year. The total profit has reached the target to be achieved, which is Rp. 322,150,000 for one year.

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A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation

Cited by 9 publications

References 70 publications

Research Progress of Initial Mechanism on Debris Flow and Related Discrimination Methods: A Review

Research Progress of Initial Mechanism on Debris Flow and Related Discrimination Methods: A Review

A Whole Process Risk Management System for the Monitoring and Early Warning of Slope Hazards Affecting Gas and Oil Pipelines

Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits

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