120 research outputs found

    Raster-Based Derivation of a Flood Runoff Susceptibility Map using the Revised Runoff Curve Number (CN) for the Kuantan Watershed, Malaysia

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    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

    XXXIV SCAR Open Science Conference 2016 - Abstract Book

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    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

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    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

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    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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