Justification of geochemical markers of the soil–plant system state for a local model of traffic pressure

2021 ◽  
Vol 14 (24) ◽  
Author(s):  
Aleksandr Khaustov ◽  
Margarita Redina
Keyword(s):  
Local Model ◽  
System State ◽  
Plant System ◽  
Geochemical Markers

Assessment of the pyrogenic pollution of the soil-plant system on the base of geochemical markers for a local model of transport pressure

2021 ◽  
Vol 7 (1) ◽  
pp. 65-86
Author(s):  
A.P. Khaustov ◽  
◽  
M.M. Redina ◽  
Keyword(s):  
Heavy Traffic ◽  
Monitoring Program ◽  
Forest Park ◽  
Plant System ◽  
Local Pollution ◽  
Sources Of Pollution ◽  
Functional Zones ◽  
Integral Characteristics ◽  
Polycyclic Aromatic ◽  
Geochemical Markers

The choice of informative indicators for local estimates of the transport pressure on urban soil-plant systems is a serious problem of preserving green spaces. The spatial variations of the characteristics of the flows of marker compounds (polycyclic aromatic hydrocarbons (PAHs) acting as geochemical markers), the integral characteristics of the toxicity of soil pollutants, roots and aerial parts of plants TEQ, as well as the values of indicator ratios based on the concentrations of PAHs in the media are considered. The object of local research is the RUDN University campus (Moscow, Russia) with an adjacent forest park area. The territory is located in the zone of influence of heavy traffic flows and is experiencing an intense load from emissions. The state of the territory is monitored at 33 points according to a unique monitoring program. Pollution indicators showed different informativeness for constructing transport pressure models. Various modes of pollution in 3 functional zones of the territory are revealed; the zones of influence of the main sources of pollution are justified. The indicator ratios confirmed the leading source of pollution –pyrogenic emissions of transport, but they are to varying degrees sensitive to the activity of local pollution sources. Priority routes of PAH intake and accumulation in the components of the soil and plant system were identified. For the first time, a correlation between a number of ratios and indicators of polyarene contamination toxicity (TEQ) was established.

On velocity selection for needle-crystals in a fully non-local model of solidification

1987 ◽  
Vol 48 (4) ◽  
pp. 547-552 ◽  
Author(s):  
B. Caroli ◽  
C. Caroli ◽  
C. Misbah ◽  
B. Roulet
Keyword(s):  
Local Model ◽  
Non Local ◽  
Selection For ◽  
Velocity Selection

TEMPERATURE MODELS FOR GRINDING SYSTEM STATE MONITORING

2019 ◽  
Vol 2 (3) ◽  
pp. 216-229
Author(s):  
Vasily Larshin ◽  
Natalia Lishchenko
Keyword(s):  
System State ◽  
State Monitoring ◽  
Grinding System

DESIGN FOR THE TURBINE OF SOLAR CHIMNEY POWER PLANT SYSTEM WITH VERTICAL COLLECTOR

2018 ◽  
Author(s):  
Yan Zhou ◽  
Chen Yang ◽  
Kai Hao ◽  
Liang-Heng Zhang
Keyword(s):  
Power Plant ◽  
Solar Chimney ◽  
Plant System ◽  
Solar Chimney Power Plant

POWER SYSTEM STATE ESTIMATION USING A ROBUST ESTIMATOR

2019 ◽  
Vol XVI (4) ◽  
pp. 53-65
Author(s):  
Zahid Khan ◽  
Katrina Lane Krebs ◽  
Sarfaraz Ahmad ◽  
Misbah Munawar
Keyword(s):  
Power Systems ◽  
State Estimation ◽  
Loss Function ◽  
Weighted Least Squares ◽  
Primary Data ◽  
Robust Estimator ◽  
System State ◽  
State Estimator ◽  
Suggested Approach ◽  
Power System State Estimation

State estimation (SE) is a primary data processing algorithm which is utilised by the control centres of advanced power systems. The most generally utilised state estimator is based on the weighted least squares (WLS) approach which is ineffective in addressing gross errors of input data of state estimator. This paper presents an innovative robust estimator for SE environments to overcome the non-robustness of the WLS estimator. The suggested approach not only includes the similar functioning of the customary loss function of WLS but also reflects loss function built on the modified WLS (MWLS) estimator. The performance of the proposed estimator was assessed based on its ability to decrease the impacts of gross errors on the estimation results. The properties of the suggested state estimator were investigated and robustness of the estimator was studied considering the influence function. The effectiveness of the proposed estimator was demonstrated with the help of examples which also indicated non-robustness of MWLS estimator in SE algorithm.

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