Landslides Triggered by the 2016 Heavy Rainfall Event in Sanming, Fujian Province: Distribution Pattern Analysis and Spatio-Temporal Susceptibility Assessment
نویسندگان
چکیده
Rainfall-induced landslides pose a significant threat to the lives and property of residents in southeast mountainous area. From 5 10 May 2016, Sanming City Fujian Province, China, experienced heavy rainfall event that caused massive landslides, leading loss life property. Using high-resolution satellite imagery, we created detailed inventory triggered by this event, which totaled 2665 across an area 3700 km2. The majority were small-scale, shallow elongated, with dominant distribution Xiaqu town. We analyzed correlations between landslide abundance topographic, geological hydro-meteorological factors. Our results indicated index is related gradient hillslope, distance from river total rainfall. density, i.e., LAD increases increase these influencing factors described exponential or linear relationship. Among all lithological types, Sinian mica schist quartz (Sn-s) found be most prone over 35% occurring just 10% Overall, lithology characteristics primarily control followed topography. To gain better understanding triggering conditions for conducted physically based spatio-temporal susceptibility assessment numerical simulations, using MAT.TRIGRS tool, show it can accurately reproduce temporal evolution instability process event. Although before 8 may have contributed decreased slope stability study area, short duration on believed primary factor occurrence landslides.
منابع مشابه
Distributed modelling of shallow landslides triggered by intense rainfall
Hazard assessment of shallow landslides represents an important aspect of land management in mountainous areas. Among all the methods proposed in the literature, physically based methods are the only ones that explicitly includes the dynamic factors that control landslide triggering (rainfall pattern, land-use). For this reason, they allow forecasting both the temporal and the spatial distribut...
متن کاملRainfall-triggered landslides, anthropogenic hazards, and mitigation strategies
Rainfall-triggered landslides are part of a natural process of hillslope erosion that can result in catastrophic loss of life and extensive property damage in mountainous, densely populated areas. As global population expansion on or near steep hillslopes continues, the human and economic costs associated with landslides will increase. Landslide hazard mitigation strategies generally involve ha...
متن کاملRainfall erosivity in Italy: a national scale spatio-temporal assessment
Soil erosion by water is a serious threat for the Mediterranean region. Raindrop impacts and consequent runoff generation are the main driving forces of this geomorphic process of soil degradation. The potential ability for rainfall to cause soil loss is expressed as rainfall erosivity, a key parameter required by most soil loss prediction models. In Italy, rainfall erosivity measurements are l...
متن کاملMigraine Susceptibility Genes in Han Chinese of Fujian Province
BACKGROUND AND PURPOSE Five single-nucleotide polymorphisms (SNPs) (rs4379368, rs10504861, rs10915437, rs12134493 and rs13208321) were recently identified in a Western population with migraine. These migraine-associated SNPs have not been evaluated in a Han Chinese population. This study investigated the associations of specific SNPs with migraine in a Han population. METHODS This was a case-...
متن کاملSpatio-Temporal Analysis of Drought Vulnerability using the Standardized Precipitation Index (Case study: Semnan Province, Iran)
This study was conducted to identify drought event and its emerging regions in Markazi desert, Iran with focus onSemnan province in a 30 years statistical period. In this research, 61 stations having adequate data selected and usedafter extracting annual statistic from monthly and daily data. Standardized precipitation index values for each stationwere calculated and classified. The Results hav...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15112738