Eliisa Lotsari
University of Eastern Finland
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Featured researches published by Eliisa Lotsari.
Water Resources Research | 2014
Eliisa Lotsari; Matti Vaaja; Claude Flener; Harri Kaartinen; Antero Kukko; Elina Kasvi; Hannu Hyyppä; Juha Hyyppä; Petteri Alho
The knowledge has been insufficient concerning the effects of peak flows, and local bend and flow characteristics on annual morphodynamics of consecutive bends in meandering rivers. Therefore, it was determined how flow peak magnitude and duration affect morphodynamics, how the short-term spatial evolution of a given meander bend associates with the neighboring bends, and how local bend and flow characteristics affect morphodynamics. The annual bank and point bar morphodynamics of eight consecutive bends of a subarctic meandering river were analyzed between 2009 and 2012 on the basis of high-accuracy multitemporal data, measured by mobile and terrestrial laser scanning and an Acoustic Doppler Current Profiler. According to the results, multiple years of highly accurate data are crucial for a broader picture of meandering channel evolution. The results showed for the first time in detail that none of the years were similar in terms of point bar and bank morphodynamics. The duration of point bar submergence and maximum water stage was more important for evolution of the meandering channel than the local effects of each bend. The detailed topographical data of the present study confirmed that the higher the flow and water stage peak the more deposition occurred on point bars. More importantly, the independence of the short-term spatial evolution of meander bends from the association with neighboring bends was confirmed. Erosion patterns did not relate particularly to the sinuosity or radius of curvature. A clear relation between velocity and bend curvature, on which some meander migration models rely, was not found.
Geografiska Annaler Series A-physical Geography | 2010
Eliisa Lotsari; Noora Veijalainen; Petteri Alho; Jukka Käyhkö
Abstract. Climate change is expected to have a substantial impact on hydrology on both a global and regional scale. Although the anticipated warming is expected to be greatest in the northern regions and cause alteration in the hydrological cycle, it has yet to be resolved, to what extent these hydrological changes will alter such flow characteristics as flow velocity, bed shear stress and stream power in Sub‐Arctic rivers. Future changes in the fluvial erosion potential are studied in the Sub‐Arctic Tana River, on the border of Finland and Norway. We modelled future discharge scenarios for the years 2070 to 2099 with a conceptual hydrological model incorporating three emission scenarios, with two global and one regional climate model. These simulated flood discharges were used as input hydrographs to model flow characteristics with a two‐dimensional hydraulic model. Differences in the spatial distribution of flow characteristics between frequent (HQ1/2a) and infrequent floods (HQ1/250a) were examined. Compared to the present, in most simulations, both HQ1/250a and HQ1/2a flood discharges diminished, with spring floods occurring earlier also. Although the relative reduction in flow characteristics (velocities, bed shear stresses and stream powers per unit area) was more notable in 1/2a compared to 1/250a floods, the discharge peaks of the former would theoretically still be able to transport the fine sediments that form the river bed. Based on most of the climate scenarios, autumnal floods become more frequent in the future and hence, their role in sediment transport may become more significant compared to the present‐day situation.
Progress in Physical Geography | 2015
Eliisa Lotsari; Varyl R. Thorndycraft; Petteri Alho
Due to the predicted impacts of future climate on hydrology, morphological changes to river channels are expected. Quantifying the magnitudes and rates of future channel change is important for sustainable river channel management. To date, reviews of simulation approaches for investigating river channels and the modelling of environmental change impacts on channel form and process have focused on contemporary process or palaeo perspectives. Hence, herein we review numerical modelling approaches available for reach-scale simulation of future river channels and the predicted in-channel hydro- and morphodynamic changes modelled. We found that despite their widespread availability, hydrodynamic, morphodynamic and cellular models have yet to be used routinely in future in-channel simulations, with cellular models in particular under-represented. Our review shows that predictions of within-channel changes vary greatly between hydro-climatic regions and under contrasting climate change scenarios, mainly due to varying input discharge scenarios; however, increased sediment transport and flood risk are usually predicted. Key challenges in simulating future channel change include representations of external forcing conditions, adequate temporal and spatial scales, transport equations, changing channel materials and lateral erosion; calibration and validation; simulation chains with multiple models; and identification of feedback systems and non-linearity. Nevertheless, despite these challenges, models with increasing complexity have recently been developed and so there is increasing potential in their application. One-dimensional hydro- and morphodynamic simulations, and cellular models, can be modified to reflect the requirements of future representations, such as grain size properties, whilst there is also now an increasing capability to include a greater quantity of external forcing conditions. Some studies, however, have demonstrated the need to develop two-dimensional models for application in centennial-scale studies. We recommend that a wider range of scenarios and the combined effects of multiple external forcing factors should be included, whilst studies are also needed from more hydrologically diverse reaches.
Remote Sensing | 2013
Ninni Saarinen; Mikko Vastaranta; Matti Vaaja; Eliisa Lotsari; Anttoni Jaakkola; Antero Kukko; Harri Kaartinen; Markus Holopainen; Hannu Hyyppä; Petteri Alho
Vegetation plays an important role in stabilizing the soil and decreasing fluvial erosion. In certain cases, vegetation increases the accumulation of fine sediments. Efficient and accurate methods are required for mapping and monitoring changes in the fluvial environment. Here, we develop an area-based approach for mapping and monitoring the vegetation structure along a river channel. First, a 2 × 2 m grid was placed over the study area. Metrics describing vegetation density and height were derived from mobile laser-scanning (MLS) data and used to predict the variables in the nearest-neighbor (NN) estimations. The training data were obtained from aerial images. The vegetation cover type was classified into the following four classes: bare ground, field layer, shrub layer, and canopy layer. Multi-temporal MLS data sets were applied to the change detection of riverine vegetation. This approach successfully classified vegetation cover with an overall classification accuracy of 72.6%; classification accuracies for bare ground, field layer, shrub layer, and canopy layer were 79.5%, 35.0%, 45.2% and 100.0%, respectively. Vegetation changes were detected primarily in outer river bends. These results proved that our approach was suitable for mapping riverine vegetation.
Earth Surface Processes and Landforms | 2017
Eliisa Lotsari; Elina Kasvi; Maria Kämäri; Petteri Alho
The effects of ice cover on flow characteristics in meandering rivers are still not completely understood. Here, we quantify the effects of ice cover on flow velocity, the vertical and spatial flow distribution, and helical flow structure. Comparison to open-channel low flow conditions is performed. The Acoustic Doppler Current Profiler (ADCP) is used to measure flow from up to three meander bends, depending on the year, in a small sandy meandering subarctic river (Pulmanki River) during two consecutive ice-covered winters (2014 and 2015). This article is protected by copyright. All rights reserved. Under ice, flow velocities and discharges were predominantly slower than during the preceding autumn open-channel conditions. Velocity distribution was almost opposite to theoretical expectations. Under ice, velocities reduced when entering deeper water downstream of the apex in each meander bend. When entering the next bend, velocities increased again together with the shallower depths. The surface velocities were predominantly greater than bottom/riverbed velocities during open-channel flow. The situation was the opposite in ice-covered conditions, and the maximum velocities occurred in the middle layers of the water columns. High-Velocity Core (HVC) locations varied under ice between consecutive cross-sections. Whereas in ice-free conditions the HVC was located next to the inner bank at the upstream cross-sections, the HVC moved towards the outer bank around the apex and again followed the thalweg in the downstream cross-sections. Two stacked counter-rotating helical flow cells occurred under ice around the apex of symmetric and asymmetric bends: next to the outer bank, top- and bottom-layer flows were towards the opposite direction to the middle layer flow. In the following winter, no clear counter-rotating helical flow cells occurred due to the shallower depths and frictional disturbance by the ice cover. Most probably the flow depth was a limiting factor for the ice-covered helical flow circulation, similarly as the shallow depths hinder secondary flow in open-channel conditions. This article is protected by copyright. All rights reserved.
Journal of Hydrology | 2010
Noora Veijalainen; Eliisa Lotsari; Petteri Alho; Bertel Vehviläinen; Jukka Käyhkö
River Research and Applications | 2012
Claude Flener; Eliisa Lotsari; Petteri Alho; Jukka Käyhkö
Journal of Flood Risk Management | 2010
Laura Koivumäki; Petteri Alho; Eliisa Lotsari; Jukka Käyhkö; Arto Saari; Hannu Hyyppä
Hydrological Processes | 2014
Eliisa Lotsari; David Wainwright; Geoffrey D. Corner; Petteri Alho; Jukka Käyhkö
Hydrological Processes | 2015
Elina Kasvi; Petteri Alho; Eliisa Lotsari; Yunsheng Wang; Antero Kukko; Hannu Hyyppä; Juha Hyyppä