Probabilistic Methodology for Estimation of Number and Economic Loss (Cost) of Future Landslides in the San Francisco Bay Region, California: Usgs Open-File Report 2008-1116

Crovelli, Robert A; Coe, Jeffrey A

ISBN 10: 1288715102 / ISBN 13: 9781288715107

Verlag: Bibliogov, 2013

Beschreibung

Bestandsnummer des Verkäufers ABLING22Oct2517050416949

Bibliografische Details

• Titel: Probabilistic Methodology for Estimation of Number and Economic Loss (Cost) of Future Landslides in the San Francisco Bay Region, California: Usgs Open-File Report 2008-1116
• Verlag: Bibliogov
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 1288715102
• ISBN-13: 9781288715107
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

The Probabilistic Landslide Assessment Cost Estimation System (PLACES) presented in this report estimates the number and economic loss (cost) of landslides during a specified future time in individual areas, and then calculates the sum of those estimates. The analytic probabilistic methodology is based upon conditional probability theory and laws of expectation and variance. The probabilistic methodology is expressed in the form of a Microsoft Excel computer spreadsheet program. Using historical records, the PLACES spreadsheet is used to estimate the number of future damaging landslides and total damage, as economic loss, from future landslides caused by rainstorms in 10 counties of the San Francisco Bay region in California. Estimates are made for any future 5-year period of time. The estimated total number of future damaging landslides for the entire 10-county region during any future 5-year period of time is about 330. Santa Cruz County has the highest estimated number of damaging landslides (about 90), whereas Napa, San Francisco, and Solano Counties have the lowest estimated number of damaging landslides (5?6 each). Estimated direct costs from future damaging landslides for the entire 10-county region for any future 5-year period are about US $76 million (year 2000 dollars). San Mateo County has the highest estimated costs ($16.62 million), and Solano County has the lowest estimated costs (about $0.90 million). Estimated direct costs are also subdivided into public and private costs.