Relationships between water level fluctuations and vegetation diversity in shallow water of New Zealand lakes

2002 ◽  
Vol 74 (2) ◽  
pp. 133-148 ◽  
Author(s):  
Tenna Riis ◽  
Ian Hawes
Keyword(s):  
New Zealand ◽  
Shallow Water ◽  
Water Level ◽  
Water Level Fluctuations ◽  
Vegetation Diversity

scholarly journals Thermo-erosional notch development at fresh-water-calving Tasman Glacier, New Zealand

2006 ◽  
Vol 52 (177) ◽  
pp. 203-213 ◽  
Author(s):  
Katrin Röhl
Keyword(s):  
New Zealand ◽  
Water Level ◽  
Fresh Water ◽  
Formation Process ◽  
Maximum Rate ◽  
Complex Interaction ◽  
Water Level Fluctuations ◽  
Far Field ◽  
Scientific Interest ◽  
Calving Rate

AbstractControls on glacier calving rates are receiving increased scientific interest. At fresh-watercalving glaciers, limnological factors might be more important than glaciological ones. Measurements of thermo-erosional notch development at the calving ice cliff of Tasman Glacier, New Zealand, suggest that the calving rates at this glacier are directly controlled by the rate of thermal undercutting. Notch formation rates typically vary between 10 and 30 cm d–1 (maximum rate 65cmd–1) in summer, corresponding to an average calving rate of 34 m a–1. Notch formation is slower than waterline melt and is controlled by water temperatures and circulation, cliff geometry, debris supply and water-level fluctuations. The latter shift the position of undercutting, resetting the level of the notch formation process and thereby slowing it. The geometry of the notch and the debris supply determine the extent of influence of the lake on notch water temperatures and circulation. Hence, water temperatures in the lake are not necessarily indicative of the rate of notch formation. The prediction of rate of notch formation from far-field variables is hampered by the complex interaction of the influencing factors. The significance of thermal undercutting as a calving rate-controlling process decreases with increasing ice velocities, calving rates and surface gradients.

scholarly journals Tidal Behavior and Water-Level Changes in Gravel Aquifers in Response to Multiple Earthquakes: A Case Study From New Zealand

2021 ◽  
Author(s):  
KC Weaver ◽  
ML Doan ◽  
SC Cox ◽  
John Townend ◽  
C Holden
Keyword(s):  
New Zealand ◽  
Water Level ◽  
Dynamic Stress ◽  
Near Field ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Water Level Changes ◽  
Canterbury Earthquake Sequence ◽  
American Geophysical ◽  
American Geophysical Union

©2019. American Geophysical Union. All Rights Reserved. Earthquakes have been inferred to induce hydrological changes in aquifers on the basis of either changes to well water-levels or tidal behavior, but the relationship between these changes remains unclear. Here, changes in tidal behavior and water-levels are quantified using a hydrological network monitoring gravel aquifers in Canterbury, New Zealand, in response to nine earthquakes (of magnitudes M w 5.4 to 7.8) that occurred between 2008 and 2015. Of the 161 wells analyzed, only 35 contain water-level fluctuations associated with “Earth + Ocean” (7) or “Ocean” (28) tides. Permeability reduction manifest as changes in tidal behavior and increased water-levels in the near field of the Canterbury earthquake sequence of 2010–2011 support the hypothesis of shear-induced consolidation. However, tidal behavior and water-level changes rarely occurred simultaneously (~2%). Water-level changes that occurred with no change in tidal behavior reequilibrated at a new postseismic level more quickly (on timescales of ~50 min) than when a change in tidal behavior occurred (~240 min to 10 days). Water-level changes were more than likely to occur above a peak dynamic stress of ~50 kPa and were more than likely to not occur below ~10 kPa. The minimum peak dynamic stress required for a tidal behavior change to occur was ~0.2 to 100 kPa.

scholarly journals Tidal Behavior and Water-Level Changes in Gravel Aquifers in Response to Multiple Earthquakes: A Case Study From New Zealand

2021 ◽  
Author(s):  
KC Weaver ◽  
ML Doan ◽  
SC Cox ◽  
John Townend ◽  
C Holden
Keyword(s):  
New Zealand ◽  
Water Level ◽  
Dynamic Stress ◽  
Near Field ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Water Level Changes ◽  
Canterbury Earthquake Sequence ◽  
American Geophysical ◽  
American Geophysical Union

©2019. American Geophysical Union. All Rights Reserved. Earthquakes have been inferred to induce hydrological changes in aquifers on the basis of either changes to well water-levels or tidal behavior, but the relationship between these changes remains unclear. Here, changes in tidal behavior and water-levels are quantified using a hydrological network monitoring gravel aquifers in Canterbury, New Zealand, in response to nine earthquakes (of magnitudes M w 5.4 to 7.8) that occurred between 2008 and 2015. Of the 161 wells analyzed, only 35 contain water-level fluctuations associated with “Earth + Ocean” (7) or “Ocean” (28) tides. Permeability reduction manifest as changes in tidal behavior and increased water-levels in the near field of the Canterbury earthquake sequence of 2010–2011 support the hypothesis of shear-induced consolidation. However, tidal behavior and water-level changes rarely occurred simultaneously (~2%). Water-level changes that occurred with no change in tidal behavior reequilibrated at a new postseismic level more quickly (on timescales of ~50 min) than when a change in tidal behavior occurred (~240 min to 10 days). Water-level changes were more than likely to occur above a peak dynamic stress of ~50 kPa and were more than likely to not occur below ~10 kPa. The minimum peak dynamic stress required for a tidal behavior change to occur was ~0.2 to 100 kPa.

AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

Water level fluctuations of the lake of Paladru (Isère, France) in the Xth and XIth centuries AD

1985 ◽  
Vol 11 (1) ◽  
pp. 179-183
Author(s):  
Jean-Luc Borel ◽  
Jacques-Léopold Brochier ◽  
Karen Lundström-Baudais
Keyword(s):  
Water Level ◽  
Water Level Fluctuations
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