This study performs district and local administrative level multihazard zonation of Nepal. As multiple natural hazards are frequent, and their losses are enormous, multi-hazard zonation maps can provide important insights before the occurrence of natural hazards so that effective countermeasures and preparedness efforts can be designed and implemented. To this end, weightage-based multi-hazard zonation of Nepal is performed considering 27,482 independent natural hazard events. We considered 16 natural hazards to perform multi-hazard zonation. The multi-hazard maps prepared in this study highlight that the south-eastern and south-central Nepal depicts a higher level of multi-hazard compared with other regions of the country. However, the locallevel multi-hazard zonation outlines highly scattered multi-hazard levels, even in adjoining villages and municipalities.
Water from snow-melt is crucial to provide ecosystem services in downstream of the Himalayas. To study the fate of snow hydrology, an integrated modeling system has been developed coupling Statistical Downscaling Model (SDSM) outputs with Snowmelt Runoff Model (SRM) in the Dudhkoshi Basin, Nepal. The SRM model is well-calibrated in 2011 and validated in 2012 and 2014 using MODIS satellite data. The annual average observed and simulated discharges for the calibration year are 177.89 m3 /s and 181.47 m3 /s respectively. To assess future climate projections for the periods 2020s, 2050s, and 2080s, the SDSM model is used for downscaling precipitation, maximum temperature, and minimum temperature from the Canadian GCM model (CanESM2) under three different scenarios RCP2.6, RCP4.5 and RCP8.5. All considered scenarios are significant in predicting increasing trends of maximumminimum temperature and precipitation and the storehouse of freshwater in the mountains is expected to deplete rapidly if global warming continues.
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