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Hydrodynamic effects of flood wave travel along Targaniczanka Stream

100%

Florek J. , Struzynski A. , Mucha J.

nr 4

37-48

The role of historical fishpond systems during recent flood events

84%

Lhotsky R.

nr 14

Suspended sediment discharge modeling during flood events using two different artificial neural network algorithms

84%

Bouguerra H. , Tachi S.-E. , Derdous O. , Bouanani A. , Khanchoul K.

Acta Geophysica

2019

tom Vol. 67, no. 6

1649--1660

This paper presents modeling of artificial neural network (ANN) to forecast the suspended sediment discharges (SSD) during flood events in two different catchments in the Seybouse basin, northeastern Algeria. This study was carried out on hourly SSD and water discharge data during flood events from a period of 31 years in the Ressoul catchment and of 28 years in the Mellah catchment. The ANNs were trained according to two different algorithms: the Levenberg–Marquardt algorithm (LM) and the Quasi-Newton algorithm (BFGS). Seven input combinations were trained for the SSD prediction. The performance results indicated that both algorithms provided satisfactory simulations according to the determination coefficient (R2) and root mean squared error (RMSE) performance criteria, with priority to the BFGS algorithm; the coefficient of determination using the LM algorithm varies between 51.0 and 90.2%, whereas using the BFGS algorithm it varies between 54.3 and 93.5% in both studied catchments, with calculated improvement for all seven developed networks with the best improvement in the Ressoul catchment presented in ANN06 with ΔR2 4.23% and ΔRMSE 1.74‰, and with the best improvement presented in ANN05 with ΔR2 6.07% and ΔRMSE 0.71‰ in the Mellah catchment. The analysis showed that the use of Quasi-Newton method performed better than the Levenberg–Marquardt in both studied areas.

Persistence of fishers in riparian forests in North Dakota, USA following a severe flood event

84%

Triska M. D. , Loughry S. C. , Serfass T. L.

2011

tom 56

nr 4

Historically, the distribution of fishers (Martes pennanti) in North America included portions of eastern North Dakota, USA; however, the population was reported to have become extirpated by the early 1900s. Verified reports, road-killed and incidentally trapped individuals, indicate that fishers have been re-establishing populations in riparian forests (the only areas with substantive forest cover in the region) over the last 10 years. During the summers of 2008 (16 Jun–1 Aug) and 2009 (1 Jun–18 Aug), we conducted presence–absence sampling using remote cameras and enclosed track-plates to determine the distribution of fishers along 237 km of the Red River of the North in North Dakota. Between sampling events, the Red River experienced an extreme flood with peak flooding above major flood stage, which inundated all riparian forests within the study area from approximately 23 Mar–22 May. Because of the severity of the flood, we anticipated that fishers could have perished or been displaced from much of the study area, resulting in lower detection rates in 2009 than 2008. However, fishers were detected throughout the study area during both years and, unexpectedly, detection rates were higher in 2009 than 2008 (28 out of 35 sites [80%] and 25 out of 57 sites [44%], respectively). Our study demonstrates that fishers existing in what traditionally would have been considered marginal habitat for the species were able to persist following a severe, multi-month flood that inundated >95% of the forest habitat.

Response of the Danube River floodplain to flood events during 2002-2007 period

67%

Lehotsky M. , Novotny J. , Szmanda J. B.

2010

tom 29

nr 3