Influence Of Climatic Factors Research Articles

THE IMPACT OF CLIMATIC FACTORS AND FOOD SECURITY ON DEMOGRAPHIC FERTILITY IN PUNJAB, PAKISTAN THROUGH GEOSPATIAL STRUCTURAL MODELLING (GSSM)

: Punjab is not only the most fertile province of Pakistan but also the most fertile demographically with 3.4 total fertility rate. The fertility rate is an important demographic phenomenon that has significant implications for sustainable development, particularly in agricultural regions such as Punjab, Pakistan. In recent years, scholars and policymakers have increasingly focused on the link between fertility rate and soil fertility. As soil fertility is an important determinant of agricultural productivity and food security. This research article has explored the relationship and impact of the main climatic factors like maximum and minimum temperature, precipitation and Gross Primary Productivity on total fertility rate of districts of Punjab, for the year 2021. Geospatial Structural modeling (GSSM) has been designed to estimate the influence of climatic factors directly on fertility and its indirect influence on fertility through gross primary productivity and child mortality rate on total fertility rate of districts of Punjab. All the said geospatial primary and secondary datasets are analyzed in ArcGIS environment and resultant map are generated. The results shows that there is the direct and significant impact of gross primary productivity and child mortality rate on the total fertility rate. While there is indirect impact of mean annual precipitation, mean annual maximum and minimum temperature on the total fertility rate. Hence, there is negative direct impact of said factors on total fertility rate of the districts of the Punjab

Energy and air? The impact of energy efficiency improvement on air quality in China.

The global economic growth is hindered by resources shortage, energy demand, air pollution and climate. Energy efficiency can reduce some pollutants while potentially increase others. This study refers to sulfur dioxide (SO2), nitrogen oxides (NOx), and dust and smoke (DS) as primary pollutants to distinguish it from secondary ones. The influence of energy efficiency, socioeconomic, and natural climatic factors on air quality is analyzed under the theory of STIRPAT. It is highly coupled between energy efficiency and the spatial distribution of air quality. Increased energy efficiency can improve air quality by reducing SO2 and NOx, but the impact on DS is insignificant. Air pollutants decrease by about 0.531% for every 1% increase in temperature and 0.105% for every 1% increase in precipitation. Consumption will reduce air pollution, and there is an inverted U-shaped relationship between population density, economic scale, urbanization, technology innovation, and air pollution. It is worth mentioning that this work adds temperature and precipitation to the STIRPAT as natural climatic factors, analyzing the impact of energy efficiency on air pollution under the two-factor restrictions of socioeconomic and natural climatic factors. Finally, management suggestions are made to improve air quality.

Forecasting the Costs for Adapting the Housing Stock to Changing Permafrost Conditions (the Case of Norilsk)

The problem of predicting the socio-economic consequences of permafrost degradation due to climate change is an important area of modern scientific research. At the moment, there are no unified approaches and methods for assessing this type of natural risk, respectively, there is no reliable idea of the scale of possible consequences, which in turn is manifested in the poor elaboration of the issue in strategic planning documents for permafrost areas. The city of Norilsk (Krasnoyarsk krai) is an example of an Arctic city in Russia, located in the permafrost zone, where active work has begun on the housing stock renovation, including due to problems associated with the degradation of permafrost under the influence of anthropogenic and climatic factors. An analysis of legal documents related to the socioeconomic development of the city, renovation plans and documents aimed at solving the problem of replacing the deformed housing stock showed that the scale of measures does not fully correspond to the severity of the problem. A comparison of the key characteristics of the Norilsk housing stock, taking into account its current state and plans for transformation, with a long-term forecast of changes in engineering and cryological conditions until 2050, made it possible to estimate the total costs of adaptation, which can reach 1.6 trillion rubles in 2023 prices. In addition, a rating of Russian Arctic municipalities was compiled, based on the ratio of indicators characterizing internal adaptive capabilities to changing geocryological conditions and the amount of expected damage to the buildings and structures. It was found that, in general, the scale of the likely consequences significantly exceeds the available resources, and the most negative situation is already developing in the most depressed areas.

К ВОПРОСУ РАЗВИТИЯ И ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ МЕЛИОРАТИВНОЙ ОТРАСЛИ РЕСПУБЛИКИ ТАТАРСТАН

Sustainable and efficient production of agricultural products, regardless of the influence of weather and climate factors in the zone of risky farming, is largely possible only with the widespread introduction of land reclamation measures. The research was carried out with the aim of studying the current state of the reclamation industry in the Republic of Tatarstan and developing scientifically based ways of its development. In the course of the studies of the economic efficiency of irrigated agriculture in the republic, it was found that in potatoes production due to irrigation, the yield increases from 3.89 to 4.2 times, and the marketability of finished products due to improved quality and standardization of tubers by 2.58 times. It was revealed that with a potato marketability of 80%, the net income per 1 ha is 495.9 thousand rubles. The net income from 1 ha of corn for silage under irrigation is 52.4 thousand rubles. This suggests that one ruble spent on irrigation allows farms to receive up to 12 rubles of additional production in the production of grain crops. And in the production of vegetables and marketable potatoes - up to 40 rubles. The cultivation of perennial crops on irrigation makes it possible to obtain up to four full-fledged cuttings, which makes it possible to provide the livestock industry with a reliable fodder base. At this stage of development of the reclamation industry of the Republic of Tatarstan, about 1.5% of the arable land of the Republic is under irrigation reclamation, it produces up to 18.5% of the gross crop production. However, the widespread introduction of land reclamation elements by agricultural producers is limited due to a number of reasons. This series includes: the high cost of restoration, construction, operation and maintenance of reclamation facilities and their network, the lack of technical and financial resources for agricultural enterprises, the need for preliminary costly survey and design work to obtain design estimates (DED). According to expert estimates, to provide food for the inhabitants of the Republic of Tatarstan, it is necessary to have at least 150 thousand hectares of irrigated land, against the currently available 35 thousand hectares. Achieving the indicated value of irrigated lands is not possible without the adoption of a comprehensive program for the development of melioration and agrolandscape farming system, which should be adequately financially secured for the implementation of program activities.

DIELECTRIC SPECTROSCOPY METHOD FOR POLAR POLYMERS ELASTIC PROPERTIES DIAGNOSTICS

The mechanical properties of polymer materials are changes under the complex influence of such climatic factors as, for example, solar radiation, temperature changes, high humidity, and the impact of microorganisms – destructors. The methods of non-invasive diagnostics have to be used for changes prediction of the polymers materials products mechanical properties. The dielectric spectroscopy possibility using for diagnosing the modulus of elasticity of polymeric materials is considered in that paper. The results of elasticity modulus investigation by the dielectric spectroscopy using the DiMarzio–Bishop model and the mechanical measurements method are considered and compared in that paper. The results of dielectric and mechanical properties of polymers samples (polymethylmethacrylate, polycarbonate and polyvinylchloride) investigation are considered in that paper. These polymers are polar, so their mechanical properties in the elastic region of deformations can be investigate by dielectric spectroscopy method. This is due to the fact that the elastic deformations of a polymer are determined by the deformation of its macromolecules. It is show, that there are qualitative agreements between results of that measurement and the DiMarzio–Bishop model have to be refinement. The dipoles are represented as a spheres and interaction between dipoles are neglected in the DiMarzio–Bishop model. In our opinion, the interaction between dipoles in polymeric macromolecules is inevitable, and the configuration of dipoles differs from spherical. The necessity of using the calibration coefficient in the DiMarzio–Bishop model is shown by comparing the results of elastic modulus experimental measurements by the mechanical method and the dielectric spectroscopy method. This calibration factor takes into account the average number of dipoles in a macromolecule with a coefficient proportionality ∼6,7⋅10–5.

The Study of the state of soil cover of the coastal zones of the Caspian Sea, subject to the influence of climatic and anthropogenic factors

This article is dedicated to research of climate impact change and human activity on ecosystems. It is expressed as metals which is called heavy pollution. It covers the coastal territory of northwestern regions of Apsheron. Pollution in the coastal regions of the Caspian Sea with toxic substances, is of great concern, periodic studies of these zones for the presence of heavy metals are necessary. For the first time, a comparative analysis of the content of heavy metals in the territories of the northwestern part of the Absheron was carried out and the hypothetical reasons for their accumulation were presented. The studied soils in the northwestern part of the peninsula were grouped the degree of the density of heavy metals. Zinc (78.62 mg/kg, at a depth of 0–20 sm) copper and cadmium (23.65 mg/kg and 0.92 mg/kg at a depth of 0–20 sm). The concentration of zinc and copper in the northwestern direction of Apsheron by 1.18 and 1.57 times, compared with the allowable norms for clarks. Under the impact of flooding of coastal zones by the waters of the Caspian Sea, the average content of heavy metals, Ni, Cd, Pb in flooded soils at a depth of 0-100 sm increased by 1.7 times.

Beyond the usual climate? Factors determining flowering and fruiting phenology across a genus over 117 years.

Although changes in plant phenology are largely attributed to changes in climate, the roles of other factors such as genetic constraints, competition, and self-compatibility are underexplored. We compiled >900 herbarium records spanning 117 years for all eight nominal species of the winter-annual genus Leavenworthia (Brassicaceae). We used linear regression to determine the rate of phenological change across years and phenological sensitivity to climate. Using a variance partitioning analysis, we assessed the relative influence of climatic and nonclimatic factors (self-compatibility, range overlap, latitude, and year) on Leavenworthia reproductive phenology. Flowering advanced by ~2.0 days and fruiting by ~1.3 days per decade. For every 1°C increase in spring temperature, flowering advanced ~2.3 days and fruiting ~3.3 days. For every 100 mm decrease in spring precipitation, each advanced ~6-7 days. The best models explained 35.4% of flowering variance and 33.9% of fruiting. Spring precipitation accounted for 51.3% of explained variance in flowering date and 44.6% in fruiting. Mean spring temperature accounted for 10.6% and 19.3%, respectively. Year accounted for 16.6% of flowering variance and 5.4% of fruiting, and latitude for 2.3% and 15.1%, respectively. Nonclimatic variables combined accounted for <11% of the variance across phenophases. Spring precipitation and other climate-related factors were dominant predictors of phenological variance. Our results emphasize the strong effect of precipitation on phenology, especially in the moisture-limited habitats preferred by Leavenworthia. Among the many factors that determine phenology, climate is the dominant influence, indicating that the effects of climate change on phenology are expected to increase.

ASSESSMENT OF THE IMPACT OF GROUNDWATER TABLE FLUCTUATIONS ON THE TRANSFORMATION OF SUBSURFACE CONTAMINATION WITH PETROLEUM PRODUCTS

This paper describes the actual problem of groundwater contamination with petroleum products and its transformation under the influence of climatic factors. The global experience of studying the influence of groundwater table fluctuations on the transformation of petroleum contamination, in particular, the processes of redistribution of mobile petroleum products, dissolution, evaporation, and biodegradation of hydrocarbon compounds, as well as the difference between the actual thickness of a mobile petroleum product layer in porous media and the apparent thickness of a mobile petroleum product layer in a monitoring well was analyzed, which is important to plan remedial actions. The impact of groundwater table fluctuations on transformation of the petroleum contamination source within the warehouse of fuels and lubricants of the Boryspil airport was studied. As a result of groundwater table fluctuations, kerosene was “smeared” in the vadose zone, which led to an increase in the soil contamination area. During the observation period, a mobile kerosene layer almost disappeared when a groundwater table rose and restored when a groundwater table decreased, while the vadose zone was additionally contaminated since a new capillary zone was formed during each rise ofa groundwater table and kerosene. The long-term amplitude of groundwater table fluctuations was 2.4 m, and apetroleum contamination zone was also within these limits. During the observation period, the largest area of groundwater contamination with dissolved petroleum products was observed at the lowest groundwater table elevations in 2016. The highest concentration of dissolved hydrocarbons in groundwater (75.98 mg/dm3) wasfound within amobile kerosene lens. Beyond the mobile kerosene lens, spreading of groundwater contamination with dissolved hydrocarbons is limited. The analysis of the monitoring data of the petroleum contamination source within the warehouse of fuels and lubricants of the Boryspil airport indicates that at present subsurface contamination with petroleum products is localized, and its further spreading is not expected. It is recommended to continue in the future monitoring of the natural attenuation of subsurface contamination.

PROVIDING MICROCLIMATE CONDITIONS, CONSIDERING THE CONSTRUCTION FEATURES OF THE BUILDINGS AND STRUCTURES DURING EMERGENCY SHUTDOWNS OF THE HEAT SUPPLY

Rapid and low-cost construction of modern buildings and structures is provided through the introduction of the latest technologies. At the same time, a significant impact on the modern construction industry of Ukraine is caused by the problem of significantly ageing infrastructure of heat supply systems, which is complicated by the hostilities in the country. This leads to the emergence of critical microclimate conditions. To determine the critical conditions of the microclimate of the premises in case of disturbances in the heat supply system, one of the topical tasks is to investigate the dynamics of indoor air temperature changes in the premises. The purpose of the article. Investigation of the dynamics of indoor air temperature change in order to determine critical microclimate conditions and to provide safe operation of heat supply systems during emergency shutdowns of heat supply systems. Conclusions. 1. On the basis of the conducted research, the dynamics of indoor air temperature changes depending on the construction features of buildings and structures and the influence of external climatic factors (environmental temperature, solar radiation, wind influence) is establish. 2. Based on the conducted modeling of the impact of external climatic factors during emergency shutdowns of heat supply systems the critical time of reaching the boundary conditions of microclimate and maintaining safe operation of heat supply systems are detetmined.

Projections of Global Drought and Their Climate Drivers Using CMIP6 Global Climate Models

Due to the complex coupling between drought and climatic factors, the future drought conditions that might occur under climate change is still unclear. In this research, we used the daily SPEI algorithm to project global drought conditions during 2016–2100 based on the data from phase 6 of the Coupled Model Intercomparison Project (CMIP6). We also employed partial correlation analysis to explore the influence of climate factors on drought. Our analyses show the following: (1) Drought conditions projected by CMIP6 under different models are similar; however, they can vary widely across regions. (2) According to the MK trend test, drought conditions in most regions around the world are expected to become increasingly severe in the future, and this trend is significant. (3) Based on the results of the partial correlation analysis results, it is understood that drought events in most regions worldwide are primarily driven by precipitation. This study contributes to the discussion of projecting future drought conditions and expands the application by utilizing the state−of−the−art CMIP6 climate models and scenarios.Highlight

Study of the Influence of the Inclusion of Additives in the Food of Kаrakol Sheep on the Composition of Blood Plasma Proteins and Amino Acids

The productivity of natural pastures, which are the main source of food for Karakol sheep, and the botanical and chemical composition of food undergo serious changes under the influence of climatic and seasonal factors. The productivity of pastures undergoes significant changes in years with favorable, moderately favorable and unfavorable climatic conditions, respectively. In accordance with the seasons, the consumption of food by cold animals, the supply of nutrients to their body varies significantly. Due to the insufficient supply of nutrients to the animal's body in the autumn-winter and early spring months, wool productivity and live weight decrease, as well as the deterioration of reproduction characteristics are observed. When the Karakol deer are fed with natural plants without additional nutrients throughout the year, the digestive processes in the large stomach undergo serious changes depending on the seasons or the physical conditions of the food consumed. The amount of food consumed by the karakol in the natural pasture feed, the digestibility coefficient of the nutrients in their content changed according to the level of nutrition and the amount of nutrients in the ration according to the seasons of the year. The coefficient of digestibility of nutrients, depending on the physical state of nutrients, was observed to be high in spring and summer and lowest in autumn and winter. The addition of additional nutrients to replace the missing nutrients in the feed ration of sheep allows increasing the digestibility of the nutritional components of the ration.

The Impact of Climatic Factors on the Development Stages of Maize Crop in the Transylvanian Plain

Climate change has become the biggest global challenge, being a real danger especially for crops and an inevitable threat to food security. This paper presents the results of a study conducted in the Transylvanian Plain during 2012–2021, regarding the influence of climatic factors, such as temperature, rainfall, water reserve in the soil and hours of sunshine, on the development stages and yield of maize. During 2012–2021, the soil water reserve determined for maize cultivation was above the minimum requirements (1734.8 m3 ha−1) in the spring months, but fell below this limit in the months when the water consumption for maize was the highest, but without reaching the withering index (1202.8 m3 ha−1). The hours of sunshine in the maize vegetation period have been significantly reduced from 1655.5 h (2012) to values between 1174.6 and 1296.7 h, with a significant decrease in this parameter being observed. The coefficient of determination (R2 = 0.51) shows the importance of rainfall during the period of emergence of reproductive organs in maize production. During 2019–2021, there was a decreasing trend of temperatures in May compared to the multiannual average of this month, and therefore the processes of emergence and growth of plants in the early stages were affected. During the period of the study, all parameters analyzed (temperature, rainfall, water reserve in the soil, hours of sunshine) deviated from the multiannual average, with negative variations compared to the requirements of maize. Climatic conditions, especially during the growing season, have a significant influence on the yield of a crop, especially when the interaction between several parameters is manifested.

Estimation and Climate Impact Analysis of Terrestrial Vegetation Net Primary Productivity in China from 2001 to 2020

The net primary productivity (NPP) of vegetation is an important indicator reflecting the vegetation dynamics and carbon sequestration capacity in a region. In recent years, China has implemented policies to carry out ecological protection. To understand the changes in the distribution of vegetation NPP in China and the influence of climate factors, the Carnegie–Ames–Stanford approach (CASA) model was used to estimate the NPP from 2001 to 2020. In this paper, several sets of measurement datasets and products were collected to evaluate the effectiveness of the model and suggestions were provided for the modification of the CASA model based on the evaluation results. In addition to the correlation analysis, this paper presents a statistical method for analyzing the quantitative effects in individual climatic factors on NPP changes in large regions. The comparison found that the model has a better estimation effect on grassland and needleleaf forest. The estimation error for the evergreen needleleaf forest (ENF) and deciduous broadleaf forest (DBF) decreases with the warming of the climatic zone, while the evergreen broadleaf forest (EBF) and deciduous needleleaf forest (DNF) do the opposite. The changes in total CASA NPP were consistent with the trends of other products, showing a dynamic increasing trend. In terms of the degree of correlation between the NPP changes and climatic factors, the NPP changes were significantly correlated with temperature in about 10.39% of the vegetation cover area and with precipitation in about 26.92% of the vegetation cover area. It was found that the NPP variation had a negative response to the temperature variation in Inner Mongolia grasslands, while it had a positive but small effect (±10 g C) in the Qinghai–Tibet Plateau grasslands. Precipitation had a facilitative effect on the grassland NPP variation, while an increase in the annual precipitation of more than 200 mm had an inhibitory effect in arid and semi-arid regions. This study can provide data and methodological reference for the ecological assessment of large-scale regional and climate anomalous environments.

Influential factors and barriers change along the invasion continuum of an alien plant

Upon arrival to a new area, alien species have to overcome a series of biotic and abiotic barriers to survive, reproduce, and spread and thus, succeed along the invasion continuum. Failing to understand the role of the different sets of barriers and factors operating across the stages of the invasion continuum limit our ability to predict invasion dynamics, leading to misinformed management. Here, we explore how the European plant Cytisus scoparius overcomes the survival and reproductive barriers to establish along the roadsides of Nahuel Huapi National Park (Argentina). We evaluate the direct and indirect influence of climatic and landscape factors, species traits and their interaction with patch cover, plant height, and pollinator visitation rates as proxies of population persistence, plant growth, and reproduction, respectively. Cytisus scoparius cover was positively associated with the length of water shores and urban cover, factors that may relate to the arrival of propagules, new introduction events, and high levels of disturbance. Plant height was positively associated with annual precipitation and mean temperature. Visitation rates positively related to shrubland cover and to a lesser extent to slope, two factors that may influence pollinator availability and long-distance detectability, respectively. However, factors positively affecting survival had no effect (in the case of height) or negative effect (in the case of cover) on visitation rates, probably due to the saturation of the pollinator pool within large flowering patches. Despite the strong environmental gradients, climatic variables did not seem to influence the cover nor the visitation rates of C. scoparius. The microhabitat provided by roadsides seemed to buffer the climatic variability acting at larger spatial scales. This study shows how the relevance of different barriers across the invasion process can vary due to the characteristics of the species and of the spatial context. Actions directed towards the most limiting barriers and limiting factors could be an efficient way to manage invasions and reduce their impacts. In our system, actions aimed at reducing propagule arrival, soil disturbance and availability of pollinators could limit the survival and reproductive success of C. scoparius.

Influences of Climatic Factors and Human Activities on Forest–Shrub–Grass Suitability in the Yellow River Basin, China

Natural and human factors co-drive changes in vegetation type and distribution. In this study, we constructed an index system covering 17 natural and human activity indicators in six dimensions by using climate data, county-level human activity data, and forest–shrub–grass suitability data from 448 sample counties in the Yellow River Basin of China in 2018. On this basis, we evaluated the influence of human activities and climatic factors on vegetation suitability using multiple regression and relative importance analysis methods. The multiple regression results demonstrate that climatic factors had positive effects on vegetation suitability in the Yellow River Basin, while the influence of human activities on vegetation suitability varied according to the situation. Specifically, economic factors such as per capita disposable income of urban residents and per capita disposable income of rural residents; urbanization factors such as population density, urbanization rate, and construction land area proportion; social development factors such as road density; and agricultural production factors such as the cultivated acreage proportion and the value added of the primary industries proportion all influence vegetation suitability. There is a great regional heterogeneity in the effects of human activities such as economic factors and urbanization factors on vegetation suitability. The relative importance analysis results show that the relative importance of the factors influencing vegetation suitability in the Yellow River Basin was as follows, in order of importance: climatic factors &gt; agricultural production factors &gt; urbanization factors &gt; ecological projects &gt; social development factors &gt; economy factors; however, except for climatic factors, the importance of other influencing factors varied from region to region. This study provides a theoretical basis for optimizing vegetation adjustment schemes and forest and grass ecosystem layout according to regional characteristics.

Impacts of climate change and human activities on vegetation coverage variation in mountainous and hilly areas in Central South of Shandong Province based on tree-ring.

It is of great significance to understand the characteristics and influencing factors of vegetation coverage variation in the warm temperate zone. As a typical region of the warm temperate zone in eastern China, the mountainous and hilly region in central-south Shandong Province has fragile ecological environment and soil erosion problem. Studying on vegetation dynamics and its influencing factors in this region will help to better understand the relationship between climate change and vegetation cover change in the warm temperate zone of eastern China, and the influence of human activities on vegetation cover dynamics. Based on dendrochronology, a standard tree-ring width chronology was established in the mountainous and hilly region of central-south Shandong Province, and the vegetation coverage from 1905 to 2020 was reconstructed to reveal the dynamic change characteristics of vegetation cover in this region. Secondly, the influence of climate factors and human activities on the dynamic change of vegetation cover was discussed through correlation analysis and residual analysis. In the reconstructed sequence, 23 years had high vegetation coverage and 15 years had low vegetation coverage. After low-pass filtering, the vegetation coverage of 1911-1913, 1945-1951, 1958-1962, 1994-1996, and 2007-2011 was relatively high, while the vegetation coverage of 1925-1927, 1936-1942, 2001-2003, and 2019-2020 was relatively low. Although precipitation determined the variation of vegetation coverage in this study area, the impacts of human activities on the change of vegetation coverage in the past decades cannot be ignored. With the development of social economy and the acceleration of urbanization, the vegetation coverage declined. Since the beginning of the 21st century, ecological projects such as Grain-for-Green have increased the vegetation coverage.

Association between the potential distribution of Lutzomyia longipalpis and Nyssomyia whitmani and leishmaniasis incidence in Piauí State, Brazil.

Leishmaniases are vector borne diseases caused by Leishmania spp. parasites transmitted by female sandflies (Diptera: Psychodidae) whose geographic distribution is influenced by environmental factors. Among the main tools for studying the distribution of vector species, modeling techniques are used to analyze the influence of climatic and environmental factors on the distribution of these insects and their association with human cases of the disease. Here, we used a multiscale ecological niche modeling approach to assess the environmental suitability of sandfly vectors of the etiological agents of Visceral (VL) and American Cutaneous Leishmaniasis (ACL) in Piauí state, northeastern Brazil, and then evaluated their relationship with human disease incidence. For this, we obtained the geographic coordinates of the vector species Lutzomyia longipalpis and Nyssomyia whitmani through literature review, online databases and unpublished records. These data were used for the development of predictive models of the distribution of both sandflies species based on climatic and environmental variables. Finally, the environmental suitability for the presence of these vectors was compared with the incidence of both the diseases at the municipality level. The final models for each sandfly species showed good predictive powers with performance metric values of 0.889 for Lu. longipalpis and 0.776 for Ny. whitmani. The areas with greater environmental suitability for the presence of these species were concentrated in the central-north region of Piauí and coincide with the location of those municipalities presenting higher incidences of VL and ACL, situated in the central-north and extreme north of the state, respectively. The south and southeast regions of Piauí state have low incidence of these diseases and presented low environmental suitability for the presence of both vectors. We discuss how predictive modeling can guide entomological and epidemiological surveillances and recommend an increased supervision and control activities in Teresina (capital of the state of Piaui), Altos and Pedro II, in addition to other municipalities with similar social and environmental characteristics.

Improvement of organizational and technological tools for assessing the effectiveness of construction and investment projects

The main principles and approaches to construction planning and production organization are taking into account the dependencies between the terms of project implementation and its cost. The basis of this methodology for determining the effectiveness of the implementation of construction projects is the methods and methods by which the participants of the construction and investment process determine the duration and cost of construction during tenders at various stages of organizational and technological development.&#x0D; The effectiveness of improving these methods essentially depends on how fully they take into account the specific features of the management-control, organizational-technological, and financial situations in which the construction will be carried out.&#x0D; A very wide and diverse list of factors can affect the structure and indicators of construction projects. Among them, for example, the relative remoteness of the main suppliers of resources from construction sites, the underdevelopment of the construction industry in some regions of the country, the influence of climatic factors on the productivity of labor, other powerful influence of elements of the external environment and the impact on project results in existing models and methods. As a result, we have a real duration of construction higher than the proposed one.&#x0D; This is especially relevant in conditions where improving the efficiency of capital investments in construction projects requires finding organizational and management tools to increase the level of economic relations in construction, strengthen contractual discipline, and increase the economic responsibility of builders and customers for the final results of construction projects.&#x0D; Implementation of construction projects is associated with high costs. In order to effectively use existing methods of construction planning and production organization in the established economic conditions, to have a positive impact on the acceleration and efficiency of construction, it is necessary to add methods that take into account the existing specific features of the construction industry. The need to create a certain toolkit for solving tasks related to increasing the efficiency of construction projects, minimizing the duration of projects and maximizing profit, taking into account organizational, technological, economic factors and elements of the external environment, determines the relevance of this scientific research.

Вибрационная безопасность при эксплуатации конструкций промышленных зданий в условиях динамических воздействий от оборудования

A general approach to the vibration safety of capital construction objects in Russia under the conditions of dynamic effects from industrial equipment is given based on the analysis of the requirements for the structures of buildings and facilities at the design and operation stage. The directions that are related to buildings and structures are described, including the mechanical safety requirements for buildings and structures. The analysis was carried out in order to determine the requirements for the structures of buildings and facilities that require processing in order to harmonize Russian regulatory technical documents in construction and industrial safety. The relevance of the chosen topic is determined by its compliance with the main goals and objectives of the Russian state policy in the field of industrial safety, aimed at consistently reducing the risks of accidents occurrence at the industrial facilities, and minimizing their negative consequences. The article states that the characteristics of the elements of building structures, which were considered during the design in dynamic calculations of the strength and stability of a building or structure, may change during operation under the influence of climatic factors or aggressive influences of external and internal environments, including the influence of technological processes that can cause fatigue phenomena in the material of building structures. The method of calculation for dynamic loads of structures of buildings and facilities, considering the changes in power and environmental influences during operation, is briefly described. The main proposals for changing the requirements for the structures of buildings under vibration effects were developed and compiled in the form of a list. The results of the implementation of the submitted proposals will contribute to improving the efficiency of the processes of domestic industrial construction of buildings and structures, updating the regulatory and technical base, ensuring the safety of production facilities, maintaining compliance of buildings and structures with their functional purpose, reducing the risk of harm to health, property of individuals or legal entities, state or municipal property and the environment.

Influence of Climatic Factors on Yields of Pistachio, Mango, and Bananas in Iran

The aim of this study was to investigate the impact of climatic variables (minimum temperature, maximum temperature, average precipitation, and precipitation deviation) on the yields of pistachio, banana, and mango in cold, hot–arid, hot–humid, and temperate–humid climates using the Just–Pope function. The Just–Pope function is a relatively new approach in this context. The most effective variables were identified by stepwise regression and the Feiverson algorithm. Data were collected for the period of 1998–2020 and were tested for stationarity. Finally, the coefficients of the Just–Pope function were estimated for the three crops in the four climates. The results showed that the variables affecting pistachio yield were different in each type of climate. Most variables were effective in warm and dry areas, while cropping area, production trend, and lag were effective in cold regions and in hot and humid areas; the maximum deviation and minimum temperature, production lag, cropping area, and production function were significant in hot and dry regions at the 90% level. The Just–Pope function for pistachio, mango, and banana showed that the impact of temperature and average rainfall was region-specific. Based on the results, a 1% increase in rainfall can increase the banana yield up to 0.032 ton/ha. As Iran experiences extensive climatic fluctuations, horticulturists are faced with difficult conditions. Such practices as the use of cultivars that are resistant to temperature and rainfall variations in the regions in order to alleviate the risk of yield variations in orchards are recommended.