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Paper Information

Journal:   GEOSCIENCES   FALL 2017 , Volume 27 , Number 105 ; Page(s) 61 To 70.
 
Paper: 

DELINEATION OF SEISMIC SOURCES USING AN OPTIMIZED FUZZY CLUSTERING

 
 
Author(s):  GHASEMI NEJAD R., ABBASPOUR R.A.*, MOJARAB M.
 
* SCHOOL OF SURVEYING AND GEOSPATIAL INFORMATION ENGINEERING, COLLEGE OF ENGINEERING, UNIVERSITY OF TEHRAN, TEHRAN, IRAN
 
Abstract: 
Seismic source zones have an important role in hazard assessment in probabilistic seismic hazard analysis. These zones are often determined according to judgments by the experts and in most cases, seismic source delineations by several experts across a specific region typically leads to non-uniform and controversial results. Thus, most of the uncertainty in probabilistic seismic hazard analysis can be related to the delineation of seismic sources. Another problem of probabilistic seismic hazard analysis is the way earthquakes are visually taken by experts to relate with the seismic sources. Even though it is well known that earthquakes happen on faults, the causative fault of a given earthquake is not precisely constrained, so that makes unconstrained the realization and assessment of seismic risks by experts. This paper attempts to determine seismic sources and associate events to faults using a fuzzy particle swarm optimization clustering algorithm. The algorithm works based on the minimization of two objective functions: distance of events from fault, and distance of events from their center of density (i.e. cluster center). The algorithm is applied by two approaches to the seismic data acquired from northwest of Iran; the distance was Euclidean in the first approach and Mahalanobis in the second one. In order to test reliability of the algorithm, its performance was evaluated based on the events assigned to the faults by previous researchers. Comparing associated earthquakes to faults by the algorithm in northwest of Iran with known and documented earthquakes revealed that 79.2% of the events are correctly induced by faults considering the Euclidean distance approach. In the case of using Mahalanobis distance, 87.5% of the events were properly reproduced, implying its higher efficiency. Final results show that this methodology will help seismological engineers take a step forward in hazard analysis by determining seismic sources and assigning earthquakes to different active faults.
 
Keyword(s): FUZZY CLUSTERING, PARTICLE SWARM OPTIMIZATION (PSO), PROBABILISTIC SEISMIC HAZARD ANALYSIS (PSHA), SEISMIC SOURCES
 
 
References: 
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Citations: 
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APA: Copy

GHASEMI NEJAD, R., & ABBASPOUR, R., & MOJARAB, M. (2017). DELINEATION OF SEISMIC SOURCES USING AN OPTIMIZED FUZZY CLUSTERING. GEOSCIENCES, 27(105 ), 61-70. https://www.sid.ir/en/journal/ViewPaper.aspx?id=567788



Vancouver: Copy

GHASEMI NEJAD R., ABBASPOUR R.A., MOJARAB M.. DELINEATION OF SEISMIC SOURCES USING AN OPTIMIZED FUZZY CLUSTERING. GEOSCIENCES. 2017 [cited 2021December09];27(105 ):61-70. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=567788



IEEE: Copy

GHASEMI NEJAD, R., ABBASPOUR, R., MOJARAB, M., 2017. DELINEATION OF SEISMIC SOURCES USING AN OPTIMIZED FUZZY CLUSTERING. GEOSCIENCES, [online] 27(105 ), pp.61-70. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=567788.



 
 
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