Evapotranspiration Under Climate Change in the Ganges Delta of Bangladesh
Location
Logan Golf & Country Club, Logan, UT
Start Date
3-26-2019 5:00 PM
End Date
3-26-2019 7:00 PM
Description
Evapotranspiration (ET) is an essential indicator of water loss, and its measurement is necessary for water resources management. This study attempts to quantify the variability of ET for the Ganges Delta of Bangladesh, an agro-based region with a high inter-annual variation of freshwater availability. We estimated actual ET by incorporating the Normalized Difference Vegetation Index (NDVI) into the complementary relationship model and adjusted it with the correction factors using Latent Heat Flux from Asia flux site. Also, crop ET is calculated to understand the variability in irrigation water requirement. We used observed climate data from the Bangladesh Meteorological Department and NDVI data from MODIS land products subsets. We projected the ET variability for the 2020-2100 period using three regional climate models, i.e., RCA 4, REMO2009 and RegCM 4-4 of two emission scenarios (RCP 4.5 and RCP 8.5). Climate data are used in the random forest algorithm to predict future NDVI. The multi-model analyses show higher crop ET for both the RCP scenarios, leading to higher water requirement in the irrigation sector. Understanding the ET loss will be helpful to develop the hydro-economically viable water management strategies for this region.
Evapotranspiration Under Climate Change in the Ganges Delta of Bangladesh
Logan Golf & Country Club, Logan, UT
Evapotranspiration (ET) is an essential indicator of water loss, and its measurement is necessary for water resources management. This study attempts to quantify the variability of ET for the Ganges Delta of Bangladesh, an agro-based region with a high inter-annual variation of freshwater availability. We estimated actual ET by incorporating the Normalized Difference Vegetation Index (NDVI) into the complementary relationship model and adjusted it with the correction factors using Latent Heat Flux from Asia flux site. Also, crop ET is calculated to understand the variability in irrigation water requirement. We used observed climate data from the Bangladesh Meteorological Department and NDVI data from MODIS land products subsets. We projected the ET variability for the 2020-2100 period using three regional climate models, i.e., RCA 4, REMO2009 and RegCM 4-4 of two emission scenarios (RCP 4.5 and RCP 8.5). Climate data are used in the random forest algorithm to predict future NDVI. The multi-model analyses show higher crop ET for both the RCP scenarios, leading to higher water requirement in the irrigation sector. Understanding the ET loss will be helpful to develop the hydro-economically viable water management strategies for this region.