期刊
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
卷 22, 期 4, 页码 1159-1179出版社
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/nhess-22-1159-2022
关键词
-
资金
- Ministerio de Ciencia, Innovacion y Universidades [CGL2017-82868R, PID2020-113036RB-I00/AEI/10.13039/501100011033]
- (European Regional Development Funds)
In September 2019, a heavy precipitation episode in eastern Spain caused widespread flash flooding and significant economic losses. High-resolution precipitation estimates from radar observations and flood response data were used to study the hydrological processes involved. The flood response was influenced by the continuous heavy precipitation, dry initial soil moisture conditions, and large storage capacities.
On 12 and 13 September 2019, a long-lasting heavy precipitation episode (HPE) affected the Valencia, Murcia and Almeria regions in eastern Spain. Observed rainfall amounts were close to 500 mm in 48 h, being the highest cumulative precipitation registered in some rain gauges for the last century. Subsequent widespread flash flooding caused seven fatalities and estimated economical losses above EUR 425 million High-resolution precipitation estimates from weather radar observations and flood response from stream gauges are used in combination with a fully distributed hydrological model to examine the main hydrometeorological processes within the HyMeX programme. This HPE was characterized by successive, well-organized convective structures that impacted a spatial extent of 7500 km(2), with rainfall amounts equal to or larger than 200 mm The main factors driving the flood response were quasistationarity of heavy precipitation, very dry initial soil moisture conditions and large storage capacities. Most of the examined catchments exhibited a dampened and delayed hydrological response to cumulative precipitation: until runoff thresholds were exceeded, infiltration-excess runoff generation did not start. This threshold-based hydrological behaviour may impact the shape of flood peak distributions, hindering strict flood frequency statistical analysis due to the generally limited lengths of data records in arid and semiarid catchments. As an alternative, a power-law relationship is analytically derived to specifically link flood magnitude to rainfall amount, with the parameters depending on basin and precipitation features. This power law could aid in developing empirical envelope curves so as to assess hydrologic risk in arid and semi-arid catchments with a threshold-based hydrological behaviour.
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