Weather dependence of medical rehabilitation efficiency in patients with ischemic heart disease on the resort of the South Coast of Crimea

The aim of this work is to assess the influence of the climatic and weather characteristics of the South Coast of Crimea (SCC) on the effectiveness of health resort medical rehabilitation (MR) of patients with ischemic heart disease (IHD).Materials and methods. A study was carried out in a group of 276 patients with IHD. The influence of climatic and weather characteristics of the SCC were assessed using the methods developed by the «ARI n.a. I.M. Sechenov» - modified clinical index on weather pathogenicity (CIPP-M) and MR assessment according to the criteria of the» International classification of functioning, disabilities and health» (ICF).Results. Regression equations for the dynamics of the ICF b2401, b280, b4301 and b440 domains on the values of air temperature (AT-M), atmospheric pressure variability (APV), air temperature variability (ATV-M) wind speed (WS-M) and total CIPP-M have been developed, which allow to reliably form a rehabilitation prognosis for patients with IHD for all terms of health resort treatment in the SCC.Conclusions. The use of modernized clinical indices of weather pathogenicity allows one to adequately assess and predict the effect of weather dynamics and form a rehabilitation prognosis for patients with IHD.

Spatial decision tree model for garlic land suitability evaluation

Predicting land and weather characteristics as indicators of land suitability is very important in increasing effectiveness in food production. This study aims to evaluate the suitability of garlic land using spatial decision tree algorithm. The algorithm is the improvement of the conventional decision tree algorithm in which spatial join relation is included to grow up spatial decision tree. The spatial dataset consists of a target layer that represents garlic land suitability and ten explanatory layers that represent land and weather characteristics in the study areas of Magetan and Solok district, Indonesia. This study generated the best spatial decision trees for each study area. On Magetan dataset, the best model has 33 rules with 94.34% accuracy and relief variable as the root node, whereas on Solok dataset, the best model has 66 rules with 60.29% accuracy and soil texture variable as the root node.

Influence of Weather Conditions on the Intercity Travel Mode Choice: A Case of Xi’an

To explore the influence of weather conditions on the choice of the intercity travel mode of travelers, four modes of traveler transportation were studied in Xi'an, China, in March 2019: airplane, high-speed rail, conventional train, and express bus. The individual characteristics of travelers and intercity travel activity data were obtained, and they were matched with the weather characteristics at the departure time of the travelers. The Bayesian multinomial logit regression was employed to explore the relationship between the travel mode choice and weather characteristics. The results showed that temperature, relative humidity, rainfall, wind, air quality index, and visibility had significant effects on the travel mode selection of travelers, and the addition of these variables could improve the model’s predictive performance. The research results can provide a scientific decision basis for traveler flow transfer and the prediction of traffic modes choice due to the effects of climate change.

Climate Policy, Winter Season and Impact on Agriculture in the Lerma River Basin of the Mexican Plateau

Climate has presented variations within time and space. Such alterations are translated in agriculture into a reduction in productivity, and in some cases into total loss of production. The purpose of this work was to interpret and integrate the predominant weather phenomena and the variations of the weather elements, specifically the “frosts”, as indicator for planning, agricultural and livestock development, forestal, and population itself through the interaction that weather has to do with each one of them. This research was held out in the of Lerma River Basin located within the Mexican plateau, which derived from its latitude and altitude conditions, has diverse weather characteristics. The methodology included bibliographic revision, consultation of available cartography, and comparative analysis of meteorological data.

On Space Weather factors which can impact terrestrial physical and biological processes

<p>The main idea of our work is to find out the perspective points for the investigation of space factors which can impact physical and biological processes on Earth surface. Some decades ago the complex of those factors was named as “Space Weather”. So the main purpose of our work is to discover the connection between Space Weather and Terrestrial Weather as well as the impact of this environmental complex (Space Weather plus Terrestrial Weather) on biological objects and thereby on the human health.</p><p>The first part of the presented work contains the description of the Space Weather characteristics for the appearance moments of very long-live (more than 10 days) atmosphere pressure systems on different terrestrial latitude locations. These Long-live Pressure Systems (LPS) are interesting for us because some of them (namely anticyclones) can block pressure fields so they can create some dangerous situations for the human health as well as for the human activity. The different terrestrial latitude locations were: (1) Saint-Petersburg (59<sup>o</sup>57‘N, 30<sup>o</sup>19‘E) and (2) Tambov (52<sup>o</sup>43‘N, 41<sup>o</sup>27‘E). This latitude difference in observations is interesting for us because we know about the different affect of Space Weather variations on northern and southern places so we want to study this difference.  The time-intervals were: (1) 1999-2014 years (Saint-Petersburg), (2) 2007-2014 years (Tambov). Space Weather parameters were: (1) global  variations of Solar Activity (SA) parameters; (2) daily characteristics of the SA flare component in various bands of the electromagnetic spectrum; (3) variations of Interplanetary Space characteristics in Earth vicinity; (4) variations of daily statistics of Geomagnetic Field (GMF) characteristics. For the appearance moments of LPS we have discovered the interesting behaviour for follow Space Weather characteristics: variations of all global SA indices, variations of low energy (C-class) X-ray solar flares number, variations of proton fluxes, and variations of GMF parameters daily statistics. Also we have discovered the terrestrial-latitude difference in the atmosphere response on the Space Weather impact.</p><p>The second part of our work contains the results of investigation of environmental (Space Weather plus Terrestrial Weather) impact on human health. This study was done for Saint-Petersburg region (the northern place from the previous point of our investigation). The human health status was indicated by: (1) Cardiac Rhythm Variations (CRV) of patients in the clinic of Medicine Academy, Sudden Cardiac Deaths (SCD) in Research Institute of Emergency Medicine, facts of hard situation in 6 local clinics in different places of Saint-Petersburg and its suburb. We have found out that the dramatic cardiac events (CRV extrema, SCD maxima, hard days in clinics) are connected with variations of solar radio bursts number (the burst type is “noise storm”), the spread daily statistics (coefficient of variation) of GMF z-component and with spread daily statistics (coefficient of oscillation) of air temperature.</p><p>Results of our work may be used as the base for the hazard environmental monitoring.</p>