کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8907902 1635330 2018 54 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling land susceptibility to erosion in the coastal area of Bangladesh: A geospatial approach
ترجمه فارسی عنوان
مدل سازی حساسیت زمین به فرسایش در منطقه ساحلی بنگلادش: رویکرد جغرافیایی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی
This research aimed to develop a widely applicable raster GIS-based model for analysing susceptibility of coastal lands to erosion. The model, Land Susceptibility to Coastal Erosion (LSCE), was applied for the coastal area of Bangladesh as a case study. This study included three coastal zones (western, central and eastern) that cover the entire coastal area of the country. The outputs of the model comprised physical susceptibility of the coastal lands to erosion according to five susceptibility classes. The overall results demonstrate that out of the entire coastal area about 0.59% (266.32 km2) and 0.02% (10.01 km2) of the coastal lands exhibit high and very high susceptibility to erosion, respectively. These make 276.33 km2 in total as being highly susceptible to erosion, which is noteworthy for the densely populated coastal area of the country. The remaining 5.49%, 20.56% and 73.34% of lands were identified as having moderate, low and very low susceptibility to erosion, respectively. The developed model is highly suitable for addressing the impacts of hydro-climatic parameters on susceptibility to coastal erosion. Hence, this study identified and mapped the influence of hydro-climatic parameters on the coast by assessing seasonal variation of susceptibility to erosion. The outputs were then validated by developing an inventory map and analysing independent historical observations by using 'degree of fit' curves. The LSCE model could be useful for coastal researchers in assessing erosion susceptibility of dynamic coastal lands around the world.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geomorphology - Volume 320, 1 November 2018, Pages 82-97
نویسندگان
, , , ,