scholarly journals MODELLING OF INFLUENCE OF CLIMATIC FACTORS ON PRODUCTIVITY OF GRAIN CROPS (ON MATERIALS OF UDMURTIYA)

Author(s):  
I.I. Rysin ◽  
P.B. Akmarov ◽  
O.P. Knyazeva

Dynamics of change of productivity of grain crops of Udmurtiya from 1913 for 2018 in interrelation with changes of environmental conditions in agrarian branch of region is shown. Tendencies of development of plant growing are revealed and influence of meteorological indicators on efficiency of agriculture is proved. Correlation communications of productivity grain with a temperature mode and water supply during the separate periods of growth of plants are considered. Are received regress models of various kinds for forecasting of productivity and the role of each climatic factor in these models is estimated. On this basis the basic natural factors of formation of a grain yield are revealed. On the basis of the analysis of time numbers of meteorological indicators on temperatures and deposits during the summer period the equations of a trend which on a long-term interval prove laws of growth of daily average temperature and monthly average deposits are received. Existence of cyclic components in changes of temperature and deposits is simultaneously revealed, and also periodicity of these cycles is calculated. Possibilities of application of the received models for the decision of administrative problems are shown.

2018 ◽  
Vol 4 (2) ◽  
pp. 63-68 ◽  
Author(s):  
А. Попов ◽  
A. Popov ◽  
Николай Гаврилов ◽  
Nikolay Gavrilov ◽  
А. Андреев ◽  
...  

The method of digital difference filters is applied to the data analysis of SATI observations of hydroxyl nightglow intensity and rotational temperature at altitudes 85–90 km over Almaty (43°03' N, 76°58' E), Kazakhstan, in 2010–2017. We examine seasonal and interannual variations in monthly average values and standard deviations of variations with periods 0.4–5.4 hrs, which may be associated with internal gravity waves in the mesopause region. The monthly average temperature near the mesopause has a maximum in winter and a minimum in June. The monthly average intensity has an additional maximum in June. Standard deviation of mesoscale rotational temperature variations and characteristics of internal gravity waves are maximum in spring and autumn. The spring maximum of mesoscale OH emission intensity variations is shifted to June. Interannual variations and multi-year trends of OH rotational temperature and emission intensity may differ in detail. This may be connected with seasonal and long-term variations in the complex system of the photochemical processes, which produce the OH nightglow.


2020 ◽  
Vol 220 ◽  
pp. 117060 ◽  
Author(s):  
Xi Chen ◽  
Buqing Zhong ◽  
Fuxiang Huang ◽  
Xuemei Wang ◽  
Sayantan Sarkar ◽  
...  

2020 ◽  
Vol 17 (168) ◽  
pp. 20200340 ◽  
Author(s):  
Lim Jue Tao ◽  
Borame Sue Lee Dickens ◽  
Mao Yinan ◽  
Chae Woon Kwak ◽  
Ng Lee Ching ◽  
...  

Dengue is hyper-endemic in Singapore and Malaysia, and daily movement rates between the two countries are consistently high, allowing inference on the role of local transmission and imported dengue cases. This paper describes a custom built sparse space–time autoregressive (SSTAR) model to infer and forecast contemporaneous and future dengue transmission patterns in Singapore and 16 administrative regions within Malaysia, taking into account connectivity and geographical adjacency between regions as well as climatic factors. A modification to forecast impulse responses is developed for the case of the SSTAR and is used to simulate changes in dengue transmission in neighbouring regions following a disturbance. The results indicate that there are long-term responses of the neighbouring regions to shocks in a region. By computation of variable inclusion probabilities, we found that each region’s own past counts were important to describe contemporaneous case counts. In 15 out of 16 regions, other regions case counts were important to describe contemporaneous case counts even after controlling for past local dengue transmissions and exogenous factors. Leave-one-region-out analysis using SSTAR showed that dengue transmission counts could be reconstructed for 13 of 16 regions' counts using external dengue transmissions compared to a climate only approach. Lastly, one to four week ahead forecasts from the SSTAR were more accurate than baseline univariate autoregressions.


Author(s):  
Kira Privalova ◽  
Ruslan Karimov

The studies for the period 2004–2017, he reveals a high energy potential of pasture herbage technologies, created on the basis of domestic varieties of Festulolium VIK 90 at 6-and 14-year-old terms of use. The ratio of anthropogenic and natural factors in the production of pasture feed is given. At the same time, the leading role of renewable natural factors has been revealed: they account for 66–71% of the structure of metabolic energy production.


2013 ◽  
Author(s):  
Francesca Menegazzo ◽  
Melissa Rosa Rizzotto ◽  
Martina Bua ◽  
Luisa Pinello ◽  
Elisabetta Tono ◽  
...  

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