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Mapping and classification of hydrological parameters from digital terrain data in the Musandam Peninsula, UAE and Oman

机译:根据穆桑丹半岛,阿联酋和阿曼的数字地形数据绘制水文参数并进行分类

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摘要

Groundwater exploration and modelling requires hydrological parameters and a large volume of hydrologic database. This study integrates remote sensing and geographic information system (GIS) to map and classify hydrological parameters indicates areas of groundwater recharge and discharge. Bivariate quadratic surfaces with moving window size of 5x5 were fitted to the digital elevation model and drainage basins, drainage network, topographic wetness index (TWI) and hydroforms were derived. The eight-direction algorithm (D8) that determines in which neighbouring pixel any water in a central pixel will flow naturally was used to delineate drainage basin and drainage network in the study area. The TWI was used to quantify the effect of local topography on hydrological processes and for modelling soil moisture. The results indicate the presence of intensive of stream network (1336km(2)), wettest zones and accumulation zones (63.99km(2)) within Wadi Bih, the UAE and Wadi Khasb, Oman, suggesting regional recharge.
机译:地下水勘探和建模需要水文参数和大量的水文数据库。这项研究将遥感和地理信息系统(GIS)集成在一起,以对表示地下水补给和排放区域的水文参数进行地图绘制和分类。将移动窗口大小为5x5的双变量二次曲面拟合到数字高程模型中,并得出流域,流域网络,地形湿度指数(TWI)和水形。八方向算法(D8)用于确定中心像素中的任何水自然流向哪个相邻像素,以描绘研究区域中的流域盆地和排水网络。 TWI用于量化局部地形对水文过程的影响并用于模拟土壤湿度。结果表明,在阿联酋瓦迪比和阿曼瓦迪哈斯布内存在着密集的河流网络(1336km(2)),最湿的区域和蓄积带(63.99km(2)),表明该区域存在补给。

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