120 research outputs found
DemoGRAPE: First phase scintillations on GNSS signals from Galileo satellites as observed from SANAE and EACF
The software defined radio approach to ionosphere monitoring using GNSS: multiple receivers at the price of one
Raster-Based Derivation of a Flood Runoff Susceptibility Map using the Revised Runoff Curve Number (CN) for the Kuantan Watershed, Malaysia
This study aims to develop a methodology for generating a flood runoff susceptibility (FRS) map using a revised curve number (CN) method. The study area is in the Kuantan watershed (KW), Malaysia, which was seriously
affected by floods in December 2013 and December 2014. A revised runoff CN map was developed for the study area and then compared with those available in the SCS standard tables. The CN obtained from the revised approach range between 18 and 100, which reveals a
stretching effect on the CN, which initially ranged between 33 and 100. Subsequently, the FRS map was developed for the KW. Approximately 5 % of the study area was identified as a very high-risk zone and 13 % as high-risk zone.
However, the spatial extent of a high-risk zone in the
downstream end and lowland areas of the KW could be
considered to be the main cause of flood damage in recent
years. From practical point of view, the finding of this
research provides a road map for government agencies to
effectively implement flood mitigation projects in the study area
Preliminary study of urban heat island: Measurement of ambient temperature and relative humidity in relation to landcover in Kuala Lumpur
XXXIV SCAR Open Science Conference 2016 - Abstract Book
Abstracts from the XXXIV SCAR Open Science Conference 'Antarctica in the Global Earth System: From the Poles to the Tropics', held in August 2016 in Kuala Lumpur, Malaysia
Slope Adjustment of Runoff Curve Number (CN) using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) for Kuantan River Basin
The Natural Resources Conservation Service Curve Number (NRCS-CN) method is widely used for predicting direct runoff from rainfall. It employs the hydrologic soil groups and landuse information along with period soil moisture conditions to derive NRCS-CN. This method has been well documented and available in popular rainfallrunoff models such as HEC-HMS, SWAT, SWMM and many more. The SharplyWilliams and Hank methods was used to adjust CN values provided in standard table of TR-55. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) is used to derive slope map with spatial resolution of 30 m for Kuantan River Bsin (KRB). The two investigated method stretches the conventional CN domain to the lower values. The study shows a successful application of remote sensing data and GIS tools in hydrological studies. The result of this work can be used for rainfall-runoff simulation and flood modeling in KRB
Workshop on the Antarctic wind field
The Antarctic is the windiest continent on Earth,
with many of the coastal research stations
affected by strong katabatic winds. The strength
and persistence of the near-surface winds was noted by
many of the early explorers (Fig. 1), and this feature has
been perhaps the most intensively studied climatological
element since then. In recent years there have been
many advances in our understanding of the wind field
both through the availability of data from automatic
weather stations (AWSs) in remote locations and in
improvements in numerical models.
For the last four years the Scientific Committee on
Antarctic Research (SCAR) has been assessing our
knowledge of the Antarctic wind field and trying to
improve the representation of the winds in climate
and numerical weather prediction (NWP) models.
This meeting consisted of invited and submitted
papers on many aspects of the Antarctic wind field.
During the final morning there was a panel discussion
that summarized our current understanding and
considered the gaps in our knowledge
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