0000000000855364

AUTHOR

Mohammad Arab Amiri

0000-0002-3758-5802

showing 2 related works from this author

Landslide susceptibility mapping using precipitation data, Mazandaran Province, north of Iran

2017

Precipitation is a nonlinear and complex phenomenon and varies in time and space. It is also evident that there is a link between precipitation and shallow landslides, and precipitation is always considered as a landslide-triggering factor. This study aims to investigate the relationship between the characteristics of precipitation and the historical shallow landslides in Mazandaran Province, north of Iran. For this purpose, the spatial variability of rainfall was analyzed using monthly rainfall data collected at 15 synoptic stations distributed over the region between 1981 and 2014. Monthly precipitation and other derived parameters were used, and a hybrid model combining principal compone…

Atmospheric Science010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnologyPrincipal component analysiPrecipitation02 engineering and technology01 natural sciencesNatural hazardEarth and Planetary Sciences (miscellaneous)Cluster analysiPrecipitation0105 earth and related environmental sciencesWater Science and TechnologyHydrologyHydrogeologyLandslideLandslide susceptibility020801 environmental engineeringLandslideMazandaran ProvinceClimatologyPrincipal component analysisSpatial variabilitySettore GEO/05 - Geologia ApplicataHybrid modelGeologyNatural Hazards
researchProduct

Detection of homogeneous precipitation regions at seasonal and annual time scales, northwest Iran

2017

Abstract Detection of homogeneous climate areas is a challenging issue, which can be affected by different criteria. One of the most prominent factors is choosing the time scale, which can lead to different spatial and temporal patterns. Total precipitation is a key factor in climatological studies, and studying its distribution is of utmost importance. The combination of principal components analysis and cluster analysis is used for homogeneous precipitation areas' detection. Hence, the spatial pattern of total precipitation was investigated in northwestern Iran during the past two decades (1991–2010) on seasonal and annual time scales. The results of clustering on each time scale were val…

Atmospheric ScienceGlobal and Planetary Change010504 meteorology & atmospheric sciencesSettore GEO/04 - Geografia Fisica E Geomorfologia0208 environmental biotechnology02 engineering and technologyManagement Monitoring Policy and Law01 natural sciences020801 environmental engineeringHomogeneous precipitationClimatologyPrincipal component analysisPeriod (geology)Cluster (physics)Common spatial patternEnvironmental sciencePrecipitationScale (map)Cluster analysisSettore GEO/05 - Geologia Applicata0105 earth and related environmental sciencesWater Science and Technologycluster analysis GIS principal component analysis time scale total precipitation
researchProduct