Complex spatial and temporal patterns of littoral benthic communities interacting with water level fluctuations and wind exposure in the littoral zone of a large lake

2007 ◽  
Vol 169 (2) ◽  
pp. 115-129 ◽  
Author(s):  
Nicole Scheifhacken ◽  
Christian Fiek ◽  
Karl-Otto Rothhaupt
Keyword(s):  
Water Level ◽  
Littoral Zone ◽  
Benthic Communities ◽  
Temporal Patterns ◽  
Water Level Fluctuations ◽  
Large Lake ◽  
Spatial And Temporal Patterns ◽  
Wind Exposure

scholarly journals Responses of N<sub>2</sub>O flux to water level fluctuation and other environmental factors at littoral zone of Miyun Reservoir: a comparison with CH<sub>4</sub> fluxes

2015 ◽  
Vol 12 (7) ◽  
pp. 5333-5363 ◽  
Author(s):  
M. Yang ◽  
X. M. Geng ◽  
J. Grace ◽  
Y. F. Jia ◽  
Y. Z. Liu ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Greenhouse Gas ◽  
Water Level ◽  
Littoral Zone ◽  
Water Area ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
N2o Flux ◽  
Flooded Area ◽  
Seasonally Flooded

Abstract. There have been only a few studies that allow us to estimate the contribution of newly-created reservoirs to greenhouse gas budgets. In particular, information is limited for understanding the spatiotemporal variation of N2O flux and the underlying mechanisms in the littoral zone where complex biochemical processes are induced by water level fluctuations. A study was carried out at five different water levels (deep water area, shallow water area, seasonally flooded area, control site for seasonally flooded area and non-flooded area) at the littoral zone of a temperate reservoir using the static chamber technique. Seasonal and spatial variations of N2O flux and environmental factors were monitored throughout the growing season including a flood event during summer rains. The N2O flux ranged from −2.29 to 182.47 μg m−2 h−1. Non-flooded dry land emitted more N2O than flooded land, no matter whether it was permanently or seasonally flooded. However, no significant difference was observed between seasonally flooded sites and their control sites. Wind speed, air temperature, soil water content, dissolved oxygen in water and soil nitrate influenced N2O flux significantly. In order to know the contrasting characteristics of N2O and CH4 fluxes in the littoral zone of the reservoir, results were compared with a previous study on CH4 emission carried out at the same sites and time with comparable methods. It showed that N2O flux and CH4 flux was influenced by distinct factors and in differing ways. This work highlights the complexity of N2O flux at the littoral zone. The different response ways of N2O and CH4 to environments implies the big challenge of greenhouse gas emission control through ecosystem management.

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.

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