EGU2020-22049
https://doi.org/10.5194/egusphere-egu2020-22049
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Space-time variability of soil moisture based drought in the transboundary Koshi river basin of the Himalayan region

Santosh Nepal1, Saurav Pradhananga1, Narayan Shrestha1,2, Jayandra Shrestha1, Manfred Fink3, and Sven Kralisch3,4
Santosh Nepal et al.
  • 1ICIMOD, Kathmandu, Nepal
  • 2University of Guelph, Canada
  • 3University of Jena, Germany
  • 4German Aerospace Center (DLR), Jena, Germany

Soil moisture is an important part of the vegetation cycle and a controlling factor for agriculture. Withstanding the role of agricultural productivity in economic development of a nation, it is imperative that water resources planners and managers are able to assess and forecast agricultural drought. As agricultural drought is related to declining soil moisture, this paper studies the dynamics of soil moisture based drought in the transboundary Koshi river basin in the Himalayan region. By applying the J2000 hydrological model, the daily soil moisture is derived for the whole basin for a 28-year time frame (1980-2007). The soil moisture deficit index (SMDI) is calculated based on a fully distributed spatial representation by considering the derivation from the long term soil moisture on a weekly time scale. In order to analyze the variation of soil moisture drought spatially, the river basin is subdivided into three distinct geographical areas, i.e. Northern Tibet, High and Middle Mountains, and Southern Plain. Further, temporally the SMDI is calculated for four distinct seasons based on wetness and dryness patterns observed in the study area, i.e. monsoon, post-monsoon, winter and pre-monsoon. A multi-site and multi-variable (streamflow at one station and evapotranspiration at three stations) approach was used for the calibration and validation of the J2000 model. Results show that the J2000 model is able to simulate the hydrological cycle of the basin with high accuracy. The model properly represents the winter drought of 2005 and 2006 was the most severe drought in the 28-year time period. Results also show considerable increases in the frequency of pre-monsoon and post-monsoon soil moisture drought in recent years. Severe droughts have had a high frequency in recent years, which is also reflected by an increase of areas that were impacted. In summary, our results show that severity and occurrence of agricultural drought has increased in the Koshi river basin in the last three decades, especially in the winter and pre-monsoon. This will have serious implications for agricultural productivity and for water resources management of the basin.

How to cite: Nepal, S., Pradhananga, S., Shrestha, N., Shrestha, J., Fink, M., and Kralisch, S.: Space-time variability of soil moisture based drought in the transboundary Koshi river basin of the Himalayan region, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22049, https://doi.org/10.5194/egusphere-egu2020-22049, 2020.

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