Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture

2022 ◽  
Vol 262 ◽  
pp. 107423
Author(s):  
Haijiao Yu ◽  
Xiaohu Wen ◽  
Min Wu ◽  
Danrui Sheng ◽  
Jun Wu ◽  
...  
Author(s):  
Qingyu Wang ◽  
Brian Pettinato ◽  
Eric Maslen

Critical to the result value of an identification process is establishment of the reliability or accuracy of the identified parameters. Uncertainty in the identification process can stem both from uncertainty in the analytical model and from uncertainty in the test data. The uncertainty propagation turns out to be difficult to estimate due to rather complicated identification process and the dimension of the analytical model. Currently, there is no uncertainty analysis and quality estimation available in the literature to the author’s knowledge for model-based identification in rotordynamics. This paper borrows linear fractional transformation (LFT) and μ-analysis from the controls community to perform this job. The basic idea is that the uncertainty of the identified result can be expressed as a system with uncertainties, and therefore quality estimation is equal to bounding the gain of this system. This system is built in two steps: first, different types of source uncertainties are expressed as LFT format, and second, the whole identification process with uncertainties is transformed into a single LFT format. μ-analysis is then used to bound the gain of this LFT. The uncertainty analysis and bounding algorithm are illustrated with the same experimental data used in the last paper, for both model-based and direct measurement methods.


Agronomie ◽  
2001 ◽  
Vol 21 (3) ◽  
pp. 267-276
Author(s):  
Daniela Businelli ◽  
Enrico Tombesi ◽  
Marco Trevisan

2011 ◽  
Vol 4 (4) ◽  
pp. 228-230
Author(s):  
Patil S.S Patil S.S ◽  
◽  
Gandhe H.D Gandhe H.D ◽  
Ghorade I.B Ghorade I.B

2016 ◽  
Vol 12 (3) ◽  
pp. 4383-4393
Author(s):  
Osabuohien Idehen

This study takes a look into groundwater quality at Ugbor Dumpsite area using water quality index (WQI), 2-Dimensional (2-D) geophysical resistivity tomography and vertical electric sounding (VES).The geophysical resistivity methods employed revealed the depth to aquifer, the geoelectric layers being made up of lateritic topsoil, clayed sand and sand. Along the trasverse line in the third geoelectric layer of lateral distance of 76 m to 100 m is a very low resistivity of 0.9 to 13 m from a depth range o f about 3 to 25 m beneath the surface- indicating contamination. Water samples were collected and analyzed at the same site during the raining season and during the dry season. The value of water quality index during the raining season was 115.92 and during the dry season was 147.43. Since values at both seasons were more than 100, it implies that the water is contaminated to some extent and therefore poor for drinking purpose. The Water Quality Index was established from important analyses of biological and physico-chemical parameters with significant health importance. These values computed for dumpsite area at Ugbor were mostly contributed by the seasonal variations in the concentrations of some parameters, such as, conductivity, total dissolved solids, hardness, alkalinity, chlorides, nitrates, calcium,  phosphates, zinc, which showed significant differences (P<0.01 and P<0.05) in seasonal variation.


Author(s):  
Yuanyuan Ji ◽  
Jinlong Zhou ◽  
Yexin Gao ◽  
Qiao Li ◽  
Ruiliang Jia ◽  
...  

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