Appendix B—Calculation of Strength Variation from Water Content Variation

2014 ◽  
pp. 181-182
Keyword(s):  
Water Content ◽  
Strength Variation ◽  
Content Variation

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

Analysis of Bentonite AC and DC Performance Under Water Content and Chemical Content Variation for Grounding Applications

2021 ◽  
Author(s):  
Zakka Izzatur Rahman Noor ◽  
Bambang Anggoro Soedjarno P ◽  
Pradita Octoviandiningrum Hadi
Keyword(s):  
Water Content ◽  
Content Variation ◽  
Chemical Content

Characteristics of soil temperature and water content variation in the western Qilian Mountains

2018 ◽  
Vol 38 (1) ◽  
Author(s):  
车宗玺 CHE Zongxi ◽  
李进军 LI Jinjun ◽  
汪有奎 WANG Youkui ◽  
丁国民 DING Guoming ◽  
李世霞 LI Shixia ◽  
...  
Keyword(s):  
Soil Temperature ◽  
Water Content ◽  
Qilian Mountains ◽  
Content Variation

scholarly journals Estimation of relative water content in a sub-polar glacier using surface-penetration radar

1996 ◽  
Vol 42 (142) ◽  
pp. 533-537 ◽  
Author(s):  
Sveinerik Hamran ◽  
Eldar Aarholt ◽  
Jon Ove Hagen ◽  
Per Mo
Keyword(s):  
Water Content ◽  
Relative Water Content ◽  
Large Scale ◽  
General Trend ◽  
Lower Altitude ◽  
Content Variation ◽  
Bright Spots ◽  
Relative Water ◽  
Relative Change

AbstractRadar-sounding data taken at Uvérsbreen glacier, Svalbard, are used to estimate the relative water content of the temperate part of the glacier. The relative change in water content of the temperate part of the glacier. The relative change in water content is estimated from the strength of the backscttered radar energy without knowing the size of the scatterers. The main findings are that the water content is on average changing by a factor of five in the ice, with the exception of some bright spots believed to stem fro larger water moulins. The general trend is also that the water content is increasing with lower altitude. The applied technique may be a useful method for large-scale mapping of the relative water-content variation in temperate and polythermal glaciers.

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