TY - JOUR
T1 - Mapping and classification of hydrological parameters from digital terrain data in the Musandam Peninsula, UAE and Oman
AU - Elmahdy, Samy Ismail
AU - Mohamed, Mohamed Mostafa
AU - Marghany, Maged Mahmoud
N1 - Publisher Copyright:
© 2014, © 2014 Taylor & Francis.
PY - 2015/3/16
Y1 - 2015/3/16
N2 - 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 5 × 5 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 (1336 km2), wettest zones and accumulation zones (63.99 km2) within Wadi Bih, the UAE and Wadi Khasb, Oman, suggesting regional recharge.
AB - 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 5 × 5 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 (1336 km2), wettest zones and accumulation zones (63.99 km2) within Wadi Bih, the UAE and Wadi Khasb, Oman, suggesting regional recharge.
KW - DEM
KW - GIS
KW - Hydroforms
KW - Oman
KW - UAE
KW - drainage network
KW - remote sensing
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U2 - 10.1080/10106049.2014.965755
DO - 10.1080/10106049.2014.965755
M3 - Article
AN - SCOPUS:84924574141
SN - 1010-6049
VL - 30
SP - 330
EP - 345
JO - Geocarto International
JF - Geocarto International
IS - 3
ER -