scholarly journals The deformation behavior of soil mass in the subsidence region of Beijing, China

2015 ◽  
Vol 372 ◽  
pp. 49-52
Author(s):  
F. Tian ◽  
J.-R. Liu ◽  
Y. Luo ◽  
L. Zhu ◽  
Y. Yang ◽  
...  
Keyword(s):  
Water Level ◽  
Land Subsidence ◽  
Deformation Behavior ◽  
Monitoring Network ◽  
Soil Mass ◽  
Water Levels ◽  
Deep Soil ◽  
Plain Area ◽  
Different Depths ◽  
Mass Deformation

Abstract. Land subsidence induced by excessive groundwater withdrawal has been a major environmental and geological problem in the Beijing plain area. The monitoring network of land subsidence in Beijing has been established since 2002 and has covered the entire plain area by the end of 2008. Based on data from extensometers and groundwater observation wells, this paper establishes curves of variations over time for both soil mass deformation and water levels and the relationship between soil mass deformation and water level. In addition, an analysis of deformation behavior is carried out for soil mass with various lithologies at different depths depending on the corresponding water level. Finally, the deformation behavior of soil mass is generalized into five categories. The conclusions include: (i) the current rate of deformation of the shallow soil mass is slowing, and most of the mid-deep and deep soil mass continue to compress at a more rapid speed; (ii) the sand strata behaves elastically, while the clay soil mass at different depths is usually characterized by elastic-plastic and creep deformation, which can be considered as visco-elastoplastic.

Monitoring zero water level in a drought-affected headwater stream network

2021 ◽  
Author(s):  
Amelie Herzog ◽  
Kerstin Stahl ◽  
Markus Weiler ◽  
Veit Blauhut
Keyword(s):  
Water Level ◽  
Monitoring Network ◽  
Water Levels ◽  
Added Value ◽  
Low Flow ◽  
Main Stream ◽  
Stream Network ◽  
Drying Up ◽  
Set Up ◽  
Level Monitoring

<p>Even largely perennial rivers can fall dry during drought events. A resulting partial or full drying-up of streambeds is difficult to monitor with conventional gauging stations, but important as it heavily impacts water availability, quality and aquatic ecosystems. With a predicted tendency towards more extreme droughts, event-based intermittency is likely to increase requiring a better longitudinal quantification of water level and streamflow conditions. The Dreisam River in the south-west of Germany is a stream with a highly dynamic hydrology. In the recent extreme drought years of 2015, 2018 and 2019 the main stream and tributaries partly fell dry; whereas the main gauging station still recorded flow. Furthermore, several tributaries fell dry in 2016, 2017 and 2019.To improve the understanding of the interaction between streamflow, groundwater and water usages in low flow and zero-flow situations, a flexible longitudinal water quality and quantity monitoring network was developed. Different techniques such as QR-code-reading camera systems and ultrasound devices to log water levels as well as water temperature and electrical conductivity sensors were used. The set-up was additionally equipped with conventional capacitive water level loggers. Here, we present a comparison of the different water level monitoring techniques in order to a) evaluate the advantages and limits of the novel techniques and b) investigate any added value of longitudinal, catchment wide zero level monitoring. The results show that the choice of the measurement sites' environment, including shading of QR-codes, light reflections of the water surface and streambed topography, is crucial for a successful application of the used techniques. The distributed gauges reveal a highly variable longitudinal drying pattern within the river network that appears to be event-specific and may not be explained without consideration of all natural and altered system fluxes.</p>

scholarly journals StormSense: A New Integrated Network of IoT Water Level Sensors in the Smart Cities of Hampton Roads, VA

2018 ◽  
Vol 52 (2) ◽  
pp. 56-67 ◽  
Author(s):  
Jon Derek Loftis ◽  
David Forrest ◽  
Sridhar Katragadda ◽  
Kyle Spencer ◽  
Tammie Organski ◽  
...  
Keyword(s):  
Water Level ◽  
Smart Cities ◽  
Monitoring Network ◽  
Water Levels ◽  
United States Geological Survey ◽  
Integrated Network ◽  
Hampton Roads ◽  
Newport News ◽  
Starting Point ◽  
Level Sensors

AbstractPropagation of cost-effective water level sensors powered through the Internet of Things (IoT) has expanded the available offerings of ingestible data streams at the disposal of modern smart cities. StormSense is an IoT-enabled inundation forecasting research initiative and an active participant in the Global City Teams Challenge, seeking to enhance flood preparedness in the smart cities of Hampton Roads, VA, for flooding resulting from storm surge, rain, and tides. In this study, we present the results of the new StormSense water level sensors to help establish the “regional resilience monitoring network” noted as a key recommendation from the Intergovernmental Pilot Project. To accomplish this, the Commonwealth Center for Recurrent Flooding Resiliency's Tidewatch tidal forecast system is being used as a starting point to integrate the extant (NOAA) and new (United States Geological Survey [USGS] and StormSense) water level sensors throughout the region and demonstrate replicability of the solution across the cities of Newport News, Norfolk, and Virginia Beach within Hampton Roads, VA. StormSense's network employs a mix of ultrasonic and radar remote sensing technologies to record water levels during 2017 Hurricanes Jose and Maria. These data were used to validate the inundation predictions of a street level hydrodynamic model (5-m resolution), whereas the water levels from the sensors and the model were concomitantly validated by a temporary water level sensor deployed by the USGS in the Hague and crowd-sourced GPS maximum flooding extent observations from the sea level rise app, developed in Norfolk, VA.

scholarly journals Observing slope stability changes on the basis of tilt and hydrologic measurements

2017 ◽  
Vol 11 (2) ◽  
Author(s):  
Gy. Mentes
Keyword(s):  
Slope Stability ◽  
Ground Water ◽  
Water Level ◽  
Monitoring Network ◽  
Water Levels ◽  
Ground Water Level ◽  
River Danube ◽  
Water Level Variations ◽  
The Stability ◽  
High Bank

AbstractIn Hungary, the high loess bank of the River Danube in Dunaszekcső has been moving with varying rate since 2007. On the high bank a geodetic monitoring network was established in September 2007. At the same time two borehole tiltmeters and later two ground water level sensors were also installed. The high-sensitive tiltmeters made it possible to study the relationships between the small tilts of the high bank and the ground water levels and the water level of the River Danube. Results of the multiple regression analysis between tilt components and water levels showed that the temporal variation of the regression coefficients is in close connection with the stability of the high bank. The investigations also showed that the movements are in very strong connection with the variation of the ground water level and less depend on the variation of the water level of the River Danube. The characteristic tilt processes, 3–4 weeks before large movements, and the slope stability changes inferred from the relationships between tilts and water level variations can be useful for early warning of landslides.

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.

DEVELOPMENT OF INTEGRATED MONITORING NETWORK FOR MEASURING SALINITY OF SEA WATER

2018 ◽  
pp. 18-26
Author(s):  
Sima Ajdar qizi Askerova
Keyword(s):  
Surface Waters ◽  
Sea Water ◽  
Water Environment ◽  
Monitoring Network ◽  
Monitoring Networks ◽  
The Caspian Sea ◽  
Integrated Monitoring ◽  
Ecological Control ◽  
Different Depths ◽  
Optimal Construction

Monitoring of sea water condition is one of major requirements for carrying out the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes of salinity at the relatively upper layer of sea waters is of special interest for studying the effect of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.

Sign in / Sign up

Export Citation Format

Share Document