TY - JOUR
T1 - Mass tree uprooting during a mega flash flood in the hyper-arid Wadi Zihor, southern Israel
AU - Isaacson, Sivan
AU - Armoza-Zvuloni, Rachel
AU - Babad, Avshalom
AU - Swiderski, Naomi Berda
AU - Segev, Nitzan
AU - Shem-Tov, Rachamim
AU - Stavi, Ilan
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - On April 10, 2023, exceptional weather conditions over southern Israel produced an extreme rainstorm. The peak precipitation, with a maximum rainfall depth of 62 mm and rain intensities exceeding 50 mm h−1, fell over the hyper-arid southern Negev and Arava Valley and generated a mega flash flood in Wadi Zihor. This ephemeral stream channel supported a comparatively dense cover of vegetation, predominated by Acacia raddiana, Acacia pachyceras, Tamarix nilotica, and Tamarix aphylla. To determine the properties of the flash flood, we used post-flood ground-based measurements and calculations of shear stress and peak discharge along the wadi. Also, we used pre- and post-flood satellite images to assess the flood's impact on woody vegetation cover along the ∼17 km-long wadi bed. Calculations based on data collected by the Israel Water Authority implied a peak discharge of 585 m3/s at the wadi outlet, indicating a low-frequency flash flood of less than once in 150 years. The pre-flood's 12.7 % vegetation cover throughout the wadi bed decreased to 7.5 % after the flood, corresponding to a 41 % net loss. To detect differences in tree removal extent along the wadi, we divided its entire length into 24 equal segments, and separately assessed the vegetation cover before and after the flood. Vegetation cover loss was 10.8 % in the wadi's uppermost segment, whereas its lowermost segment lost 51.6 %. Overall, a significant and strongly positive (r = 0.88) correlation was recorded between the accumulated watershed area (downstream) and the extent of tree cover loss. Among other factors, this effect seems to be predominantly determined by the increasing shear stress and peak discharge downstream. Forecasted climatic change scenarios, with increasing magnitude and frequency of extreme rainstorms and floods across the world's drylands, highlight the need for more data collecting and analyzing of those events impact as described in this study.
AB - On April 10, 2023, exceptional weather conditions over southern Israel produced an extreme rainstorm. The peak precipitation, with a maximum rainfall depth of 62 mm and rain intensities exceeding 50 mm h−1, fell over the hyper-arid southern Negev and Arava Valley and generated a mega flash flood in Wadi Zihor. This ephemeral stream channel supported a comparatively dense cover of vegetation, predominated by Acacia raddiana, Acacia pachyceras, Tamarix nilotica, and Tamarix aphylla. To determine the properties of the flash flood, we used post-flood ground-based measurements and calculations of shear stress and peak discharge along the wadi. Also, we used pre- and post-flood satellite images to assess the flood's impact on woody vegetation cover along the ∼17 km-long wadi bed. Calculations based on data collected by the Israel Water Authority implied a peak discharge of 585 m3/s at the wadi outlet, indicating a low-frequency flash flood of less than once in 150 years. The pre-flood's 12.7 % vegetation cover throughout the wadi bed decreased to 7.5 % after the flood, corresponding to a 41 % net loss. To detect differences in tree removal extent along the wadi, we divided its entire length into 24 equal segments, and separately assessed the vegetation cover before and after the flood. Vegetation cover loss was 10.8 % in the wadi's uppermost segment, whereas its lowermost segment lost 51.6 %. Overall, a significant and strongly positive (r = 0.88) correlation was recorded between the accumulated watershed area (downstream) and the extent of tree cover loss. Among other factors, this effect seems to be predominantly determined by the increasing shear stress and peak discharge downstream. Forecasted climatic change scenarios, with increasing magnitude and frequency of extreme rainstorms and floods across the world's drylands, highlight the need for more data collecting and analyzing of those events impact as described in this study.
KW - Change detection, climate change
KW - Flow energy and velocity
KW - Normalized difference vegetation index (NDVI)
KW - Overbank flow
KW - Plant debris
UR - http://www.scopus.com/inward/record.url?scp=85194930545&partnerID=8YFLogxK
U2 - 10.1016/j.catena.2024.108133
DO - 10.1016/j.catena.2024.108133
M3 - Article
AN - SCOPUS:85194930545
SN - 0341-8162
VL - 242
JO - Catena
JF - Catena
M1 - 108133
ER -