menu.catalogmenu.mapViewermenu.timeSeriesmenu.tools

Fragility functions of Water and Waste-Water Systems

SYNER-G: Systemic Seismic Vulnerability and Risk Analysis for Buildings, Lifeline Networks and Infrastructures Safety Gain

datasetViewer.authorsPreview: Kalliopi Kakderi, Sotiris Argyroudis

datasetViewer.description

This dataset collection is taken from the chapter 7 "Fragility Functions of Water and Waste-Water Systems" by Kalliopi Kakderi and Sotiris Argyroudis from the book SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk. The required parameters to define the fragility curves are presented here. These curves follow a lognormal distribution defined as
$\displaystyle F\left(\text{MI}, \lambda, \beta\right) = \frac{1}{2}\left[ 1 + \text{erf}\left(\frac{\ln{\text{MI}} - \lambda}{\beta\sqrt{2}} \right) \right]$
where - $\text{MI}$ is the intensity measure, defined as the peak ground acceleration in units of $g$ - $\lambda$ is the natural logarithm of the intensity measure median - $\beta$ is a parameter greater than zero - $\text{erf}$ is the Gauss error function The dataset collection includes the damage states and references of each curve.

datasetViewer.preview

datasetViewer.previewCollectionInfo

CódigoDescripciónDescripción [ES]Estados de dañoMedida de IntensidadDS1 Mediana MIDS1 βDS2 Mediana MIDS2 βDS3 Mediana MIDS3 βDS4 Mediana MIDS4 βReferenciaFunciónDOIUnnamed: 16
ID1Water Sources (wells): Anchored components (low-rise R/C building with low level seismic design)Fuentes de agua (pozos): componentes anclados (edificio R / C de baja altura con diseño sísmico de bajo nivel)DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.160.70.180.650.30.650.40.75SRM-LIFE (2007)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.9
ID2Water Sources (wells): Anchored components (low-rise R/C building with high level seismic design)Fuentes de agua (pozos): componentes anclados (edificio R / C de baja altura con diseño sísmico de alto nivel)DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.250.550.450.50.850.552.10.7SRM-LIFE (2007)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.9
ID3Water Sources (wells)Fuentes de agua (pozos)DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.150.750.360.650.720.651.50.8HAZUS (NIBS 2004)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.11
ID4Water treatment plants with anchored componentsPlantas de tratamiento de agua con componentes anclados.DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.150.30.30.250.550.60.90.55SRM-LIFE (2007)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.13
ID5Small water treatment plants [10–50 million gallons per day (mgd)] Anchored sub-componentsPequeñas plantas de tratamiento de agua [10-50 millones de galones por día (MGD)] Subcomponentes ancladosDS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.250.50.380.50.530.60.830.6HAZUS (NIBS 2004Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.14
···················································
ID26Medium waste-water treatment plants (50–200 mgd) Unanchored sub-componentsPlantas de tratamiento de aguas residuales medias (50-200 MGD) Subcomponentes desancladosDS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.20.40.330.40.70.451.230.55HAZUS (NIBS 2004)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.30
ID27Large waste-water treatment plants (>200 mgd) Anchored sub-componentsPlantas de tratamiento de aguas residuales grandes (> 200 MGD) Subcomponentes ancladosDS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.40.40.560.40.840.41.50.4HAZUS (NIBS 2004)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.30
ID28Large waste-water treatment plants (>200 mgd) Unanchored sub-componentsGrandes plantas de tratamiento de aguas residuales (> 200 MGD) Subcomponentes desancladosDS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.220.40.350.40.840.41.50.4HAZUS (NIBS 2004)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.30
ID29Lift stations: Anchored components (low-rise R/C building with low level seismic design)Estaciones de elevación: componentes anclados (edificio R / C de baja altura con Diseño sísmico de bajo nivel)DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.10.550.150.550.30.70.40.75SRM-LIFE (2007)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.32
ID30Lift stations:Anchored components (low-rise R/C building with high level seismic design)Estaciones de elevación: componentes anclados (edificio R / C de baja altura con Diseño sísmico de alto nivel)DS1 Leve; DS2 Moderado; DS3 Extenso; DS4 CompletoPGA: Peak ground acceleration (g)0.150.30.30.351.10.552.10.7SRM-LIFE (2007)Lognormal(MI; λ; β)10.1007/978-94-007-7872-6Table 8.32

datasetViewer.download

datasetViewer.download1 datasetViewer.here. datasetViewer.download3

datasetViewer.programaticAccess

datasetViewer.programaticAccess1 itrend-ds:7351687B217343B

datasetViewer.programaticAccess2 Código

datasetViewer.programaticAccess3 datasetViewer.programaticAccess4 datasetViewer.programaticAccess5 datasetViewer.here

```python import pytrend import pandas as pd session = pytrend.itrend_developer_tools() session.set_credentials( access_key_id = '', # Type your access_key_id secret_access_key = '' # Type your secret_access_key ) # Dataset dataset_id = 'itrend-ds:7351687B217343B' collection_id = 'Código' # Get available formats dataset_formats = session.get_dataset_formats(dataset_id) fmt = dataset_formats[0] # Choose your preferred format: dataset_formats = [csv] # Download file response = session.download_file(dataset_id, fmt) # Download an element filename = response.get('filename') delimiter = response.get('delimiter') df = pd.read_csv(filename, delimiter) element_formats = session.get_element_formats(dataset_id) efmt = element_formats[0] # Choose your preferred format: element_formats = [csv, npz, mat, json] for r, row in df.iterrows(): element_id = row[collection_id] element_response = session.download_file(dataset_id, efmt, element_id) break ```

datasetViewer.attribution

datasetViewer.attributionMessage1

datasetViewer.attribution1 SYNER-G: Systemic Seismic Vulnerability and Risk Analysis for Buildings, Lifeline Networks and Infrastructures Safety Gain, «Fragility functions of Water and Waste-Water Systems». datasetViewer.attribution2

datasetViewer.attributionMessage2

datasetViewer.attribution3 SYNER-G: Systemic Seismic Vulnerability and Risk Analysis for Buildings, Lifeline Networks and Infrastructures Safety Gain («Fragility functions of Water and Waste-Water Systems»), datasetViewer.attribution4

datasetViewer.permanentLink

datasetViewer.permanentLinkDescription

https://www.plataformadedatos.cl/datasets/en/7351687B217343B

datasetViewer.metadata

datasetViewer.noMetadata