Jones, Robbie, Manville, Vern, Peakall, Jeff, Froude, Melanie J. and Odbert, Henry M. (2017) Real-time prediction of rain-triggered lahars: incorporating seasonality and catchment recovery. Natural Hazards and Earth System Sciences, 17 (12). pp. 2301-2312. ISSN 1684-9981
Preview |
PDF (Published manuscript)
- Published Version
Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Rain-triggered lahars are a significant secondary hydrological and geomorphic hazard at volcanoes where unconsolidated pyroclastic material produced by explosive eruptions is exposed to intense rainfall, often occurring for years to decades after the initial eruptive activity. Previous studies have shown that secondary lahar initiation is a function of rainfall parameters, source material characteristics and time since eruptive activity. In this study, probabilistic rain-triggered lahar forecasting models are developed using the lahar occurrence and rainfall record of the Belham River valley at the Soufrière Hills volcano (SHV), Montserrat, collected between April 2010 and April 2012. In addition to the use of peak rainfall intensity (PRI) as a base forecasting parameter, considerations for the effects of rainfall seasonality and catchment evolution upon the initiation of rain-triggered lahars and the predictability of lahar generation are also incorporated into these models. Lahar probability increases with peak 1 h rainfall intensity throughout the 2-year dataset and is higher under given rainfall conditions in year 1 than year 2. The probability of lahars is also enhanced during the wet season, when large-scale synoptic weather systems (including tropical cyclones) are more common and antecedent rainfall and thus levels of deposit saturation are typically increased. The incorporation of antecedent conditions and catchment evolution into logistic-regression-based rain-triggered lahar probability estimation models is shown to enhance model performance and displays the potential for successful real-time prediction of lahars, even in areas featuring strongly seasonal climates and temporal catchment recovery.
Item Type: | Article |
---|---|
Faculty \ School: | Faculty of Science Faculty of Science > School of Environmental Sciences |
Related URLs: | |
Depositing User: | Pure Connector |
Date Deposited: | 09 Jan 2018 09:31 |
Last Modified: | 25 Sep 2024 13:11 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/65899 |
DOI: | 10.5194/nhess-17-2301-2017 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |