The 2018–2023 drought in Berlin: impacts and analysis of the perspective of water resources management

Natural hazards and earth system sciences, Journal Year: 2025, Volume and Issue: 25(4), P. 1293 - 1313

Published: April 3, 2025

Abstract. The years 2018 to 2023 were characterised by extreme hydrometeorological conditions, with record-high average annual air temperatures and record-low precipitation across large regions of Europe. Berlin, the capital Germany, is potentially vulnerable drought conditions due its location in a relatively dry region high water demand complex resources management Spree Obere Havel catchments. To address impacts 2018–2023 drought, various measures implemented Berlin As case study how droughts impact cities, we analysed observed modelled time series hydrometeorological, hydrogeological, hydrological variables catchments characterise comparison long-term averages. We found that meteorological propagated into soil moisture e.g. terms groundwater surface levels streamflow, smaller rivers drying up. Due intensity duration was only able partially counteract situation, so use limited, shipping. Enhanced proportions sewage reverse flow associated detectable concentrations trace substances. However, Berlin's supply always guaranteed represents stable system. Climate change expected lead more frequent droughts, which will have severe future socioeconomic changes (increasing population) (termination mining discharges). Therefore, needs be adapted combat such situations, taking account lessons learned from possible developments. This integrative multidisciplinary can help better assess Berlin–Brandenburg guide planning under drier conditions. suggest approach presented here transferred on other cities.

Language: Английский

Exploring drought hazard, vulnerability, and related impacts on agriculture in Brandenburg

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(12), P. 4237 - 4265

Published: Nov. 29, 2024

Abstract. Adaptation to an increasingly dry regional climate requires spatially explicit information about current and future risks. Existing drought risk studies often rely on expert-weighted composite indicators, while empirical evidence impact-relevant factors is still scarce. The aim of this study investigate what extent hazard vulnerability indicators can explain observed agricultural impacts via data-driven methods. We focus the German federal state Brandenburg, 2013–2022, including several consecutive years. As impact we use thermal–spectral anomalies (land surface temperature (LST) normalized difference vegetation index (NDVI)) field level, yield gaps from reported statistics county level. Empirical associations both spatial levels are compared. Extreme gradient boosting (XGBoost) models up 60 % variance in gap data (best R2 = 0.62). Model performance more stable for years when using all crops training rather than individual crops. Meteorological June soil quality selected as strongest factors. Rye empirically found be less vulnerable wheat, even poorer soils. LST / NDVI only weakly relates our gaps. recommend comparing different multiple scales proceed with development grounded maps.

Language: Английский