کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4685021 1635468 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Human impact on sediment fluxes within the Blue Nile and Atbara River basins
ترجمه فارسی عنوان
تاثیر انسانی بر جریانهای رسوب در حوضه آبی نیل و رودخانه آتبار
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
چکیده انگلیسی

A regional assessment of the spatial variability in sediment yields allows filling the gap between detailed, process-based understanding of erosion at field scale and empirical sediment flux models at global scale. In this paper, we focus on the intrabasin variability in sediment yield within the Blue Nile and Atbara basins as biophysical and anthropogenic factors are presumably acting together to accelerate soil erosion. The Blue Nile and Atbara River systems are characterized by an important spatial variability in sediment fluxes, with area-specific sediment yield (SSY) values ranging between 4 and 4935 t/km2/y. Statistical analyses show that 41% of the observed variation in SSY can be explained by remote sensing proxy data of surface vegetation cover, rainfall intensity, mean annual temperature, and human impact. The comparison of a locally adapted regression model with global predictive sediment flux models indicates that global flux models such as the ART and BQART models are less suited to capture the spatial variability in area-specific sediment yields (SSY), but they are very efficient to predict absolute sediment yields (SY). We developed a modified version of the BQART model that estimates the human influence on sediment yield based on a high resolution composite measure of local human impact (human footprint index) instead of countrywide estimates of GNP/capita. Our modified version of the BQART is able to explain 80% of the observed variation in SY for the Blue Nile and Atbara basins and thereby performs only slightly less than locally adapted regression models.


► New analyses and discussion on the intrabasin variability in sediment fluxes.
► Use of remote sensing data as indicators for local environmental characteristics.
► Regional approach differs from previous studies that focused at small catchments.
► Modified version of the BQART model based on high resolution spatial information.
► Adapted-BQART globally applicable and here tested in Blue Nile/Atbara River basins.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geomorphology - Volumes 180–181, 1 January 2013, Pages 231–241
نویسندگان
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