Field Study of Weather Conditions Affecting Atmospheric Corrosion by an Automobile-Carried Atmospheric Corrosion Monitor Sensor

2020 ◽  
Vol 29 (9) ◽  
pp. 5840-5853
Author(s):  
Yan-liang Huang ◽  
Dan Yang ◽  
Yong Xu ◽  
Dong-zhu Lu ◽  
Li-hui Yang ◽  
...  
Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1065 ◽  
Author(s):  
Zhuolin Li ◽  
Dongmei Fu ◽  
Ying Li ◽  
Gaoyuan Wang ◽  
Jintao Meng ◽  
...  

An automated corrosion monitor, named the Internet of Things atmospheric corrosion monitor (IoT ACM) has been developed. IoT ACM is based on electrical resistance sensor and enables accurate and continuous measurement of corrosion data of metallic materials. The objective of this research is to study the characteristics of atmospheric corrosion by analyzing the acquired corrosion data from IoT ACM. Employing data processing and data analysis methods to research the acquired corrosion data of steel, the atmospheric corrosion characteristics implied in the corrosion data can be discovered. Comparing the experiment results with the phenomenon of previous laboratory experiment and conclusions of previously published reports, the research results are tested and verified. The experiment results show that the change regulation of atmospheric corrosion data in the actual environment is reasonable and normal. The variation of corrosion depth is obviously influenced by relative humidity, temperature and part of air pollutants. It can be concluded that IoT ACM can be well applied to the conditions of atmospheric corrosion monitoring of metallic materials and the study of atmospheric corrosion by applying IoT ACM is effective and instructive under an actual atmospheric environment.


Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 535 ◽  
Author(s):  
Violeta Mandić ◽  
Snežana Đorđević ◽  
Zorica Bijelić ◽  
Vesna Krnjaja ◽  
Vlada Pantelić ◽  
...  

The main nitrogen (N) sources in soybean production originate from soil fixing bacteria Bradyrhizobium spp. and from mineralization of soil organic N. These sources of N are often not sufficient to cover the N needs of the soybean. The present two-year field study aimed to evaluate the effects of soybean genotypes (Valjevka and Galina) and rates of starter fertilizer N (0, 30, 60, and 90 kg ha−1) on quantitative and qualitative parameters and on rain use efficiency (RUE) under contrasting weather conditions in the Pannonian region of Serbia. A field study conducted during two different growing seasons: first year with unfavorable weather conditions and second year with favorable weather conditions. As expected, the quantitative parameters, oil content, and RUE were higher in the year with favorable growing season, the second one. According to measured parameters, the genotype Valjevka performed higher yield potential as compared to the genotype Galina. The highest values of quantitative parameters and RUE were recorded at 60 kg N ha−1, protein content at 90 kg N ha−1 and oil content 0 kg N ha−1 (control). This study suggests that proper genotype selection and application of 60 kg N ha−1 as a starter dose with rhizobial inoculation could contribute to the high yield, while protein could be altered by N amount, independently on genotype.


1999 ◽  
Vol 110 (24) ◽  
pp. 12122-12124 ◽  
Author(s):  
M. Saitou ◽  
W. Oshikawa ◽  
S. Itomura ◽  
S. Tsuzikawa

2001 ◽  
Vol 1 ◽  
pp. 463-474 ◽  
Author(s):  
Hongmao Tang

Maxxam all-season passive sampling system (PASS) is introduced in this paper. The PASS can be used to quantitatively and accurately monitor SO2, NO2, O3, and H2S in air in all weather conditions with flexible exposure times from several hours to several months. The air pollution detection limits of PASS are very low. They can be from sub ppb to ppt levels. The principles of proper use of passive samplers in the field study are discussed by using the PASS as an example.


2018 ◽  
Vol 133 ◽  
pp. 443-450 ◽  
Author(s):  
Yanan Shi ◽  
Dongmei Fu ◽  
Xingyu Zhou ◽  
Tao Yang ◽  
Yuanjie Zhi ◽  
...  

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