Soil Liquefaction Hazard Zonation Map for Kordkuy County, Golsetan Province Using Model SWM
نویسندگان
چکیده مقاله:
Liquefaction is one of the most determinant factors in the collapse of transportation infrastructures. This is especially true for roads and railroads located on saturated, fine-sand substrates under seismic conditions. The damage and human casualties resulting from liquefaction highlight the importance of understanding and mapping this phenomenon. Soil liquefaction occurs as a natural hazard in saturated, loose sand due to increased pore pressure and low shear strength. The purpose of this study was to prepare a soil liquefaction hazard zonation map for Kordkuy County, located in Golsetan Province, using data collection, basic digital mapping (soil deposits map, ground water depth and earthquake acceleration map), three parametric Stanford Watershed Models (SWM) and ArcGIS software . An empirical liquefaction model as a function of the three studied variables was used to model liquefaction in four hazard classes using ArcGIS software. According to the results, most areas fall into the nonhazardous and moderately hazardous risk classes. A portion of the Eastern County was classified as highly hazardous due mostly to its close proximity to an earthquake focal point.
منابع مشابه
A Liquefaction Hazard Map of the Las Vegas Valley, Nevada
The potential for basin amplification of ground motion from significant seismic sources 100-200 km (62-124 mi.) from the Las Vegas Valley (such as the Death Valley Fault System) and Quaternary faults in the valley could provide sufficient energy to cause liquefaction. Key criteria of liquefiable soils coupled with a shallow groundwater table (less than 15 m (50 ft)) are met at several sites in ...
متن کاملMulti-Criteria Evaluation Model for Desertification Hazard Zonation mapping Using GIS (Study Area: Trouti Watershed, Golestan, Iran)
Desertification is one of the major issues threatening human communities. Manymethods have been developed for assessment and mapping of desertification hazards. In thisresearch, multi-criteria evaluation method was used to investigate desertification process inTrouti watershed, Golestan Province, Iran. At the first step, major desertification factors weredetermined by doing field surveys. They ...
متن کاملStatistical Prediction of Probable Seismic Hazard Zonation of Iran Using Self-organized Artificial Intelligence Model
The Iranian plateau has been known as one of the most seismically active regions of the world, and it frequently suffers destructive and catastrophic earthquakes that cause heavy loss of human life and widespread damage. Earthquakes are regularly felt on all sides of the region. Prediction of the occurrence location of the future earthquakes along with determining the probability percentage can...
متن کاملLandslide hazard zonation using artificial neural network model downstream of Sanandaj Dam
Extended abstract 1- Introduction Landslide as a morphological risk factor is the result of the operation of natural and environmental factors that, like other morphological irregularities, causes damage to human facilities, infrastructure, and property. One of the most significant works of geomorphology is the identification of stable landforms and places with minimal potential for catas...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 7 شماره 1
صفحات 46- 49
تاریخ انتشار 2015-03-21
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023