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PREDICTING SEDIMENT YIELDS FROM SOUTHEAST ASIA: A GIS APPROACH

机译:预测东南亚的沉积物产量:一种GIS方法

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Many studies of global sediment yields have ignored SE Asia, probably because the land area is only 2% of the global total. However, it has been suggested that up to 70% of the sediment entering the oceans comes from SE Asia and Oceania. To test such estimates one would normally calculate total yields from many measured rivers but there are very few relevant data for the region. A possible solution is to use algorithms which estimate sediment yields based on factors such as elevation, local relief, area, climate and runoff. To assess the value of different algorithms we first compared their predictions to known yields using a global data set tabulating a range of basin variables. All were poor predictors, but using a subset of the global data, based on rivers from SE Asia, there is an improved correlation between observed and calculated yields. However, the data set is small and the rivers may not be representative of the entire region. Bearing in mind these reservations, different algorithms were used to estimate sediment yields from SE Asia. Calculations can be performed quickly with a GIS because most parameters can be extracted from published maps and digital elevation models. We used the HYDRO1K database of hydrologically consistent drainage information based on the USGS GTOPO30 DEM. ERMapper and MapInfo were used to extract the essential parameters. Sediment yields were calculated for 650 basins and for the main island groups. The total estimated sediment discharge from SE Asia is between 1500 and 5000 million t/yr, between two thirds and twice that of the Himalayas. Based on these estimates, all Cenozoic sediment in SE Asian basins could be locally derived, but this raises the question of the tectonic processes acting to cause the elevation required to maintain sediment supply for many millions of years.
机译:关于全球沉积物产量的许多研究都忽略了东南亚,这可能是因为陆地面积仅占全球总量的2%。但是,据建议,进入海洋的沉积物中多达70%来自东南亚和大洋洲。为了检验这样的估计,通常可以计算许多被测河流的总产量,但是该地区的相关数据很少。一种可能的解决方案是使用基于海拔,局部起伏,面积,气候和径流等因素估算沉积物产量的算法。为了评估不同算法的价值,我们首先使用全局数据集将一系列盆地变量列表化,将其预测与已知产量进行了比较。所有这些都是较差的预测指标,但是使用部分全球数据(基于来自东南亚的河流),观测到的与计算得出的单产之间的相关性得到改善。但是,数据集很小,河流可能无法代表整个地区。考虑到这些保留,使用了不同的算法来估算东南亚的沉积物产量。使用GIS可以快速执行计算,因为大多数参数可以从已发布的地图和数字高程模型中提取。我们使用了基于USGS GTOPO30 DEM的水文一致性排水信息的HYDRO1K数据库。 ERMapper和MapInfo用于提取基本参数。计算出了650个盆地和主要岛屿群的沉积物产量。东南亚的沉积物总排放量估计为每年1500至50亿吨,是喜马拉雅山的三分之二至两倍。基于这些估计,东南亚盆地的所有新生代沉积物都可以局部获取,但这提出了构造过程导致维持数百万年沉积物供应所需的海拔升高的问题。

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