Details

Autor(en) / Beteiligte

• Sutanto, Samuel Jonson
• Syaehuddin, Wahdan Achmad
• de Graaf, Inge

Titel

Hydrological drought forecasts using precipitation data depend on catchment properties and human activities

Ist Teil von

• Communications earth & environment, 2024-12, Vol.5 (1), p.118-10

Ort / Verlag

London: Nature Publishing Group

Erscheinungsjahr

2024

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Hydrological Drought Early Warning Systems play a crucial role in effective drought planning and management, as the impacts of drought are more closely associated with hydrological droughts than meteorological ones. However, current systems primarily focus on meteorological drought forecasts due to the limited access to hydrological data. Here we assess the feasibility of forecasting drought in streamflow and groundwater by solely using precipitation data. The results demonstrate that meteorological drought forecasts derived from the Standardized Precipitation Index with 6-month accumulation periods and various lag times hold the potential to predict streamflow and groundwater droughts. This study also highlights the importance of catchment properties in hydrological drought predictions. Our findings present an opportunity for developing hydrological drought early warning system globally to reach the goal of the Sendai framework for disaster risk reduction by 2030 and support the initiative of early warnings for all.The performance of streamflow and groundwater drought forecasting depends on catchment properties, the number of months of precipitation accumulation, and drought propagation, but is reduced by river discharge and aquifer management, according to a modelling approach solely driven by precipitation data.