Using Fuzzy Inference System to the Analysis of Debris Flow Hazard

2009 ◽  
Author(s):  
Pao H. Lin ◽  
K. H. Chen
Keyword(s):  
Debris Flow ◽  
Interface Design ◽  
Debris Flows ◽  
Evaluation System ◽  
Fuzzy Inference ◽  
Hazard Evaluation ◽  
Graphic User Interface ◽  
Design Environment ◽  
Inference System ◽  
Debris Flow Hazard

In this study 11 factors influential to the evolvement of debris flows are identified via literature review and a thorough comparison among previous studies. Aided by MATLAB software and the concept of property in Fuzzy logic theory, an evaluation system for debris flow hazard is developed. Also, the proposed inference system is facilitated with Graphic User Interface Design Environment, so that observers or researchers may easily become familiar with system operation and utilize the system’s estimation as references for hazard judgment. Validation results with simulated cases of three different degrees of hazard severity evidenced that the present evaluation system on debris flows was effective with debris flows of high, low, and median hazards, as well as acceptable feasibility. Further, based on data gathered from rivers subject to debris flow and several actual cases in Taiwan, this proposed system was proved to achieve acceptable precision on the hazard evaluation of debris flow.

scholarly journals DETEKSI TINGKAT KERUSAKAN SISTEM KELISTRIKAN PADA MOBIL MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

2021 ◽  
Vol 8 (1) ◽  
pp. 114
Author(s):  
Rizky Prabowo ◽  
Zuliana Nurfadlilah ◽  
Favorisen Rosyking Lumbanraja ◽  
Didik Kurniawan
Keyword(s):  
User Interface ◽  
Membership Function ◽  
Fuzzy Inference System ◽  
Interface Design ◽  
Fuzzy Inference ◽  
Production Capacity ◽  
Graphic User Interface ◽  
Electrical System ◽  
Inference System ◽  
Neuro Fuzzy

<p><em>The automotive industry in Indonesia has significant increase in the past decade. A famous car company opened a manufacturing branch to increase its production capacity in Indonesia. An increase in sales is directly proportional to an increase in service to customers. Damage on electrical system is the majority of modern car. Unfortunately, car users have minimal knowledge of car electricity. This article describes the technique of detecting the level of damage to a car's electrical system using the Adaptive Neuro-Fuzzy Inference System (Anfis) concept. As a case study in designing the system in question is the electrical system on the Toyota Avanza. Formation of a fuzzy inference system which is used for the system formation process through a GUI-based interface design (Graphic User Interface). The output of the system is a fuzzy analysis based on the membership function of the Gaussian, Triangular and Trapezoid methods to obtain an analysis of the level of damage to the electrical system on a Toyota Avanza. From the results of the system test for starter system, firewire system and lighting system,  it is concluded that the analysis of the level of damage to the electrical system on the car using Anfis based on the Gaussian membership function model is more accurate(reach 85%) in predicting the level of damage to the analyzed electrical system.</em></p><p><em><strong>Keywords</strong></em><em>: Anfis, Electrical System, Fuzzy Inference System, Toyota Avanza</em> </p><p><em>Industri otomotif di Indonesia mengalami peningkatan signifikan dalam kurun waktu satu dekade belakangan ini. Perusahaan mobil terkenal membuka pabrik manufaktur untuk meningkatkan kapasitas produksinya di Indonesia. Peningkatan penjualan berbanding lurus dengan peningkatan layanan kepada pelanggan. Kerusakan sistem kelistrikan merupakan kerusakan yang mayoritas dialami pengguna kendaraan mobil terbaru masa kini. Sayangnya, pengguna kendaraan mobil memiliki pengetahuan yang kurang tentang kelistrikan. Artikel ini mendeskripsikan tentang teknik mendeteksi tingkat kerusakan sistem kelistrikan mobil dengan menggunakan konsep Adaptive Neuro-Fuzzy Inference System (ANFIS). Sebagai studi kasus dalam mendesain sistem yang dimaksud adalah sistem kelistrikan pada Mobil Toyota Avanza. Pembentukan fuzzy inference system yang kemudian digunakan untuk proses pembentukan sistem melalui desain interface berbasis GUI (Graphic User Interface). Keluaran dari sistem yang dibuat adalah analisa fuzzy berdasarkan fungsi keanggotaan metode Gaussian, Triangular dan Trapezoid untuk mendapatkan analisa tingkat kerusakan sistem kelistrikan pada mobil Toyota Avanza. Dari hasil uji sistem yang dilakukan pada sistem starter, sistem pengapian dan sistem penerangan diperoleh kesimpulan analisis tingkat kerusakan sistem kelistrikan pada mobil dengan menggunakan Anfis berdasarkan model membership function Gaussian adalah lebih akurat (mencapai 85%) dalam menduga tingkat kerusakan sistem kelistrikan yang dianalisa.</em></p><p><em><strong>Kata kunci</strong></em><em>: Anfis; Fuzzy Inference System; Sistem Kelistrikan; Toyota Avanza</em></p>

scholarly journals Applications of simulation technique on debris-flow hazard zone delineation: a case study in Hualien County, Taiwan

2010 ◽  
Vol 10 (3) ◽  
pp. 535-545 ◽  
Author(s):  
S. M. Hsu ◽  
L. B. Chiou ◽  
G. F. Lin ◽  
C. H. Chao ◽  
H. Y. Wen ◽  
...  
Keyword(s):  
Debris Flow ◽  
Yield Stress ◽  
Empirical Model ◽  
Water Conservation ◽  
Debris Flows ◽  
Sediment Concentration ◽  
Hazard Zone ◽  
Debris Flow Hazard ◽  
Debris Flow Disaster ◽  
Soil And Water

Abstract. Debris flows pose severe hazards to communities in mountainous areas, often resulting in the loss of life and property. Helping debris-flow-prone communities delineate potential hazard zones provides local authorities with useful information for developing emergency plans and disaster management policies. In 2003, the Soil and Water Conservation Bureau of Taiwan proposed an empirical model to delineate hazard zones for all creeks (1420 in total) with potential of debris flows and utilized the model to help establish a hazard prevention system. However, the model does not fully consider hydrologic and physiographical conditions for a given creek in simulation. The objective of this study is to propose new approaches that can improve hazard zone delineation accuracy and simulate hazard zones in response to different rainfall intensity. In this study, a two-dimensional commercial model FLO-2D, physically based and taking into account the momentum and energy conservation of flow, was used to simulate debris-flow inundated areas. Sensitivity analysis with the model was conducted to determine the main influence parameters which affect debris flow simulation. Results indicate that the roughness coefficient, yield stress and volumetric sediment concentration dominate the computed results. To improve accuracy of the model, the study examined the performance of the rainfall-runoff model of FLO-2D as compared with that of the HSPF (Hydrological Simulation Program Fortran) model, and then the proper values of the significant parameters were evaluated through the calibration process. Results reveal that the HSPF model has a better performance than the FLO-2D model at peak flow and flow recession period, and the volumetric sediment concentration and yield stress can be estimated by the channel slope. The validation of the model for simulating debris-flow hazard zones has been confirmed by a comparison of field evidence from historical debris-flow disaster data. The model can successfully replicate the influence zone of the debris-flow disaster event with an acceptable error and demonstrate a better result than the empirical model adopted by the Soil and Water Conservation Bureau of Taiwan.

scholarly journals GIS-based modelling of landslide and debris flow hazard in mountainous terrain of Agra Khola watershed, central Nepal

2006 ◽  
Vol 34 ◽  
pp. 117-128
Author(s):  
P. B. Thapa ◽  
T. Esaki ◽  
B. N. Upreti
Keyword(s):  
Debris Flow ◽  
Prediction Model ◽  
Debris Flows ◽  
Flow Distribution ◽  
Spatial Prediction ◽  
Distribution Map ◽  
Central Nepal ◽  
Landslides And Debris Flows ◽  
Debris Flow Hazard ◽  
Hazard Levels

A comprehensive GIS-based analytical approach was followed to derive a spatial database of landslides and debris flows in the Agra Khola watershed of central Nepal which suffered from the hydrological disaster of 1993. For this purpose, the landslides and debris flows occurring in that area between 1993 and 2006 were delineated. From the database, the influence of geological and geomorphic variables was quantified and a spatial prediction model for landslide and debris flow hazard was worked out. In this process, quantitative statistical analysis (bivariate, multivariate) as applied to predict elements or observations between stable and unstable zones. The predicted results were classified into various hazard levels m a hazard map and were validated by comparing it with the landslide and debris flow distribution map of the Agra Khola watershed. Also the GIS-based hazard prediction model has objectivity in the procedure and reproducibility of the results in the mountainous terrains.

scholarly journals Debris-Flow Hazard Assessments: A Practitioner's View

2021 ◽  
Author(s):  
Matthias Jakob
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Three Dimensional ◽  
Extreme Value Statistics ◽  
Major Life ◽  
Two Factors ◽  
Hazard Assessments ◽  
Cost Efficient ◽  
Multi Phase ◽  
Debris Flow Hazard

ABSTRACT Substantial advances have been achieved in various aspects of debris-flow hazard assessments over the past decade. These advances include sophisticated ways to date previous events, two- and three-dimensional runout models including multi-phase flows and debris entrainment options, and applications of extreme value statistics to assemble frequency–magnitude analyses. Pertinent questions have remained the same: How often, how big, how fast, how deep, how intense, and how far? Similarly, although major life loss attributable to debris flows can often, but not always, be avoided in developed nations, debris flows remain one of the principal geophysical killers in mountainous terrains. Substantial differences in debris-flow hazard persist between nations. Some rely on a design magnitude associated with a specific return period; others use relationships between intensity and frequency; and some allow for, but do not mandate, in-depth quantitative risk assessments. Differences exist in the management of debris-flow risks, from highly sophisticated and nation-wide applied protocols to retroaction in which catastrophic debris flows occur before they are considered for mitigation. Two factors conspire to challenge future generations of debris-flow researchers, practitioners, and decision makers: Population growth and climate change, which are increasingly manifested by augmenting hydroclimatic extremes. While researchers will undoubtedly finesse future remote sensing, dating, and runout techniques and models, practitioners will need to focus on translating those advances into practical cost-efficient tools and integrating those tools into long-term debris-flow risk management.

scholarly journals Durability Assessment of PVA Fiber-Reinforced Cementitious Composite Containing Nano-SiO2 Using Adaptive Neuro-Fuzzy Inference System

Crystals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 347
Author(s):  
Ting-Yu Liu ◽  
Peng Zhang ◽  
Qing-Fu Li ◽  
Shao-Wei Hu ◽  
Yi-Feng Ling
Keyword(s):  
Evaluation System ◽  
Fuzzy Inference ◽  
Cementitious Composites ◽  
Expert Evaluation ◽  
Cementitious Composite ◽  
Fiber Reinforced ◽  
Inference System ◽  
Nano Sio2 ◽  
Neuro Fuzzy ◽  
Durability Assessment

In this study, the durability of polyvinyl alcohol fiber-reinforced cementitious composite containing nano-SiO2 was evaluated using the adaptive neuro-fuzzy inference system (ANFIS). According to the structural characteristics of the cementitious composite material and some related standards, the classification criteria for the evaluation indices of cementitious composite materials were clarified, and a corresponding structural framework of durability assessment was constructed. Based on the hypothesis testing principle, the required test data capacity was determined under a certain degree of accuracy, and durability experimental data and expert evaluation results were simulated according to statistical principles to ensure that there were sufficient datasets for ANFIS training. Using an environmental factor submodule as an example, 14 sets of actual test data were used to verify that the ANFIS can quickly and effectively mimic the expert evaluation reasoning process to evaluate the durability of cementitious composites. Compared with other studies related to the durability of cementitious composites, a systematic evaluation system for the durability of concrete was established. We used a polyvinyl alcohol fiber-reinforced cementitious composite containing nano-SiO2 to conduct a comprehensive evaluation of cementitious composites. Compared with the traditional expert evaluation method, the durability evaluation system based on the ANFIS learned expert experience, stored the expert experience in fuzzy rules, and eliminated the subjectivity of expert evaluation, thereby making the evaluation more objective and scientific.

Anticipating cascading risks at the imminent Hochvogel peak failure

2021 ◽  
Author(s):  
Johannes Leinauer ◽  
Manfred Meindl ◽  
Benjamin Jacobs ◽  
Verena Stammberger ◽  
Michael Krautblatter
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Point Clouds ◽  
Volume Estimation ◽  
Rock Fall ◽  
Recent Case ◽  
Hazard Evaluation ◽  
Event Analysis ◽  
Worst Case ◽  
Cascading Effects

&lt;p&gt;Climatic changes are exacerbating the risk of alpine mass movements for example through more frequent and extreme heavy precipitation events. To cope with this situation, the monitoring, anticipation, and early warning of rock slope failures based on process dynamics is a key strategy for alpine communities. However, only investigating the release area of an imminent event is insufficient, as the primary hazard can trigger or increase secondary hazards like debris flows or the damming of a river. Nevertheless, recent case studies dealing with successive hazards are rarely existent for the Calcareous Alps. In this study, we precisely investigate the cascading effects resulting from an imminent rock fall and perform a pre-event analysis instead of back-modelling of a past event.&lt;/p&gt;&lt;p&gt;The Hochvogel summit (2592 m&amp;#160;a.s.l., Allg&amp;#228;u Alps, Germany/Austria) is divided by several pronounced clefts that separate multiple instable blocks. 3D-UAV point clouds reveal a potentially instable mass of 260,000&amp;#160;m&amp;#179; in six main subunits. From our near real time monitoring system (Leinauer et al. 2020), we know that some cracks are opening at faster pace and react differently to heavy rainfall, making a successive failure of subunits likely. However, pre-deformations are not yet pronounced enough to decide on the exact expected volume whereas secondary effects are likely as the preparing rock fall mass will be deposited into highly debris-loaded channels. Therefore, we developed different rock fall scenarios from the gathered monitoring information, which we implemented into a RAMMS modelling of secondary debris flows. To obtain best- and worst-case results, each scenario is calculated with different erosion parameters in the runout channel. The models are calibrated with a well-documented debris flow event at Ro&amp;#223;bichelgraben (10&amp;#160;km NW and similar lithology) and are supported by field investigations in the runout channel including electrical resistivity tomography profiles (ERT) for determination of the depth of erodible material as well as a drone survey for mapping the area and the generation of an elevation model.&lt;/p&gt;&lt;p&gt;Here we show a comprehensive scenario-based assessment for anticipating cascading risks at the Hochvogel from initial rock failure volume estimation to debris flow evolution and potential river damming. This recent case study from an alpine calcareous peak is an excellent and rare chance to gain insights into cascading risks modelling and an improved hazard evaluation.&lt;/p&gt;

scholarly journals Debris flow hazard modelling on medium scale: Valtellina di Tirano, Italy

2010 ◽  
Vol 10 (11) ◽  
pp. 2379-2390 ◽  
Author(s):  
J. Blahut ◽  
P. Horton ◽  
S. Sterlacchini ◽  
M. Jaboyedoff
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Flow Direction ◽  
Hazard Analysis ◽  
Regional Scale ◽  
Aerial Photographs ◽  
Hazard Zonation ◽  
Conditioning Factors ◽  
Medium Scale ◽  
Debris Flow Hazard

Abstract. Debris flow hazard modelling at medium (regional) scale has been subject of various studies in recent years. In this study, hazard zonation was carried out, incorporating information about debris flow initiation probability (spatial and temporal), and the delimitation of the potential runout areas. Debris flow hazard zonation was carried out in the area of the Consortium of Mountain Municipalities of Valtellina di Tirano (Central Alps, Italy). The complexity of the phenomenon, the scale of the study, the variability of local conditioning factors, and the lacking data limited the use of process-based models for the runout zone delimitation. Firstly, a map of hazard initiation probabilities was prepared for the study area, based on the available susceptibility zoning information, and the analysis of two sets of aerial photographs for the temporal probability estimation. Afterwards, the hazard initiation map was used as one of the inputs for an empirical GIS-based model (Flow-R), developed at the University of Lausanne (Switzerland). An estimation of the debris flow magnitude was neglected as the main aim of the analysis was to prepare a debris flow hazard map at medium scale. A digital elevation model, with a 10 m resolution, was used together with landuse, geology and debris flow hazard initiation maps as inputs of the Flow-R model to restrict potential areas within each hazard initiation probability class to locations where debris flows are most likely to initiate. Afterwards, runout areas were calculated using multiple flow direction and energy based algorithms. Maximum probable runout zones were calibrated using documented past events and aerial photographs. Finally, two debris flow hazard maps were prepared. The first simply delimits five hazard zones, while the second incorporates the information about debris flow spreading direction probabilities, showing areas more likely to be affected by future debris flows. Limitations of the modelling arise mainly from the models applied and analysis scale, which are neglecting local controlling factors of debris flow hazard. The presented approach of debris flow hazard analysis, associating automatic detection of the source areas and a simple assessment of the debris flow spreading, provided results for consequent hazard and risk studies. However, for the validation and transferability of the parameters and results to other study areas, more testing is needed.

scholarly journals Rockfall and Debris Flow Hazard Assessment in the SW Escarpment of Montagna del Morrone Ridge (Abruzzo, Central Italy)

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1206 ◽  
Author(s):  
Monia Calista ◽  
Valeria Menna ◽  
Vania Mancinelli ◽  
Nicola Sciarra ◽  
Enrico Miccadei
Keyword(s):  
Debris Flow ◽  
Hazard Assessment ◽  
Debris Flows ◽  
Central Italy ◽  
Territorial Planning ◽  
Effective Activity ◽  
Modeling Software ◽  
Gravitational Processes ◽  
Landslide Distribution ◽  
Debris Flow Hazard

The purpose of this research is to estimate the rockfall and debris flow hazard assessment of the SW escarpment of the Montagna del Morrone (Abruzzo, Central Italy). The study investigated the geomorphology of the escarpment, focusing on the type and distribution of the present landforms. Particular attention was devoted to the slope gravity landforms widely developed in this area, where the effective activity of the gravitational processes is mainly related to the rockfall and debris flows and documented by numerous landslides over time. Working from orography, hydrography, lithology, and geomorphology, the landslide distribution and their potential invasion areas were evaluated through two specific numerical modeling software. RAMMS and Rockyfor3D calculation codes were used in order to analyze the debris flow and rockfall type of landslides, respectively. The obtained results are of great interest when evaluating the hazard assessment in relation to the potential landslides. Moreover, the geographic information systems (GIS) provide a new geomorphological zonation mapping, with the identification of the detachment and certain and/or possible invasion areas of the landslide blocks. This method provides an effective tool to support the correct territorial planning and the management of the infrastructural settlements present in the area and human safety.

Study a Fuzzy Inference System on the Supplier Evaluation in E-Manufacturing

2009 ◽  
Vol 16-19 ◽  
pp. 189-192 ◽  
Author(s):  
Jian Chen ◽  
Ming Hong Wu ◽  
Wen Rong Jiang ◽  
An Bao Wang ◽  
Ji Hong Yan
Keyword(s):  
Fuzzy Sets ◽  
Fuzzy Set ◽  
Fuzzy Inference System ◽  
Evaluation System ◽  
Supplier Selection ◽  
Fuzzy Inference ◽  
Supplier Evaluation ◽  
Inference System ◽  
Key Factor

The supplier selection and evaluation is a key factor of the intelligent supplier selection & evaluation system in e-manufacturing. The model used for supplier selection is Fuzzy inference system which is introduced in the paper. The paper started with the brief introduction of the intelligent internet supplier selection & evaluation system. It concentrated to introduce the application of the fuzzy set model for supplier selection. This paper will introduce the design of the fuzzy sets model, and the evaluation results.

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