A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system
Losses due to hazards are inevitable and numerical simulations for estimations are complex. This study proposes a model for estimating correlated seismic damages and losses of a water supply pipeline system as an alternative for numerical simulations. The common approach in other research shows aver...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Resilient Cities and Structures |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772741624000012 |
| _version_ | 1797350543492907008 |
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| author | Samantha Louise N. Jarder Osamu Maruyama Lessandro Estelito O. Garciano |
| author_facet | Samantha Louise N. Jarder Osamu Maruyama Lessandro Estelito O. Garciano |
| author_sort | Samantha Louise N. Jarder |
| collection | DOAJ |
| description | Losses due to hazards are inevitable and numerical simulations for estimations are complex. This study proposes a model for estimating correlated seismic damages and losses of a water supply pipeline system as an alternative for numerical simulations. The common approach in other research shows average damage spots per mesh estimated statistically independent to one another. Spatially distributed lifeline systems, such as water supply pipelines, are interconnected, and seismic spatial variability affects the damages across the region; thus, spatial correlation of damage spots is an important factor in target areas for portfolio loss estimation. Generally, simulations are used to estimate possible losses; however, these assume each damage behaves independently and uncorrelated. This paper assumed that damages per mesh behave in a Poisson distribution to avoid over-dispersion and eliminate negative losses in estimations. The purpose of this study is to obtain a probabilistic portfolio loss model of an extensive water supply area. The proposed model was compared to the numerical simulation data with the correlated Poisson distribution. The application of the Normal To Anything (NORTA) obtained correlations for Poisson Distributions. The proposed probabilistic portfolio loss model, based on the generalized linear model and central limit theory, estimated the possible losses, such as the Probable Maximum Loss (PML, 90% non-exceedance) or Normal Expected Loss (NEL, 50 % non-exceedance). The proposed model can be used in other lifeline systems as well, though additional investigation is needed for confirmation. From the estimations, a seismic physical portfolio loss for the water supply system was presented. The portfolio was made to show possible outcomes for the system. The proposed method was tested and analyzed using an artificial field and a location-based scenario of a water supply pipeline system. This would aid in pre-disaster planning and would require only a few steps and time. |
| first_indexed | 2024-03-08T12:46:27Z |
| format | Article |
| id | doaj.art-75e761d4789a49b8af7fb279e325406c |
| institution | Directory Open Access Journal |
| issn | 2772-7416 |
| language | English |
| last_indexed | 2024-03-08T12:46:27Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Resilient Cities and Structures |
| spelling | doaj.art-75e761d4789a49b8af7fb279e325406c2024-01-21T05:11:15ZengElsevierResilient Cities and Structures2772-74162024-03-01314454A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline systemSamantha Louise N. Jarder0Osamu Maruyama1Lessandro Estelito O. Garciano2Department of Urban Architecture and Civil Engineering, Tokyo City University, 1-28-7 Tamazutsumi, Setagaya-ku, Tokyo 158-8557, Japan; Corresponding author.Department of Urban Architecture and Civil Engineering, Tokyo City University, 1-28-7 Tamazutsumi, Setagaya-ku, Tokyo 158-8557, JapanDepartment of Civil Engineering, De La Salle University, 2401 Taft Ave, Malate, Manila, Metro Manila 1004, PhilippinesLosses due to hazards are inevitable and numerical simulations for estimations are complex. This study proposes a model for estimating correlated seismic damages and losses of a water supply pipeline system as an alternative for numerical simulations. The common approach in other research shows average damage spots per mesh estimated statistically independent to one another. Spatially distributed lifeline systems, such as water supply pipelines, are interconnected, and seismic spatial variability affects the damages across the region; thus, spatial correlation of damage spots is an important factor in target areas for portfolio loss estimation. Generally, simulations are used to estimate possible losses; however, these assume each damage behaves independently and uncorrelated. This paper assumed that damages per mesh behave in a Poisson distribution to avoid over-dispersion and eliminate negative losses in estimations. The purpose of this study is to obtain a probabilistic portfolio loss model of an extensive water supply area. The proposed model was compared to the numerical simulation data with the correlated Poisson distribution. The application of the Normal To Anything (NORTA) obtained correlations for Poisson Distributions. The proposed probabilistic portfolio loss model, based on the generalized linear model and central limit theory, estimated the possible losses, such as the Probable Maximum Loss (PML, 90% non-exceedance) or Normal Expected Loss (NEL, 50 % non-exceedance). The proposed model can be used in other lifeline systems as well, though additional investigation is needed for confirmation. From the estimations, a seismic physical portfolio loss for the water supply system was presented. The portfolio was made to show possible outcomes for the system. The proposed method was tested and analyzed using an artificial field and a location-based scenario of a water supply pipeline system. This would aid in pre-disaster planning and would require only a few steps and time.http://www.sciencedirect.com/science/article/pii/S2772741624000012Spatial correlationProbable maximum lossRisk managementWater supply pipelinePortfolio loss estimation |
| spellingShingle | Samantha Louise N. Jarder Osamu Maruyama Lessandro Estelito O. Garciano A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system Resilient Cities and Structures Spatial correlation Probable maximum loss Risk management Water supply pipeline Portfolio loss estimation |
| title | A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| title_full | A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| title_fullStr | A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| title_full_unstemmed | A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| title_short | A probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| title_sort | probabilistic estimation model for seismic physical portfolio loss of a water supply pipeline system |
| topic | Spatial correlation Probable maximum loss Risk management Water supply pipeline Portfolio loss estimation |
| url | http://www.sciencedirect.com/science/article/pii/S2772741624000012 |
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