Next Article in Journal
Barley Straw Biochar and Compost Affect Heavy Metal Transport in Soil and Uptake by Potatoes Grown under Wastewater Irrigation
Next Article in Special Issue
Changes in the Water Surface Area of Reservoirs of the Crimean Peninsula and Artificial Increases in Precipitation as One of the Possible Solutions to Water Shortages
Previous Article in Journal
Nuclear Accident Emergency Response System: Radiation Field Estimation and Evacuation
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 14
Issue 9
10.3390/su14095664
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Trends in the Environmental Conditions, Climate Change and Human Health in the Southern Region of Ukraine

by
Viktor Karamushka
1,
Svitlana Boychenko
1,2,*,
Tetyana Kuchma
1,3 and
Olena Zabarna
1,4
1
Department of Environmental Studies, National University of Kyiv-Mohyla Academy, 04655 Kyiv, Ukraine
2
S. I. Subbotin Institute of Geophysics of the NAS of Ukraine, 03680 Kyiv, Ukraine
3
Institute of Agroecology and Natural Management, 03143 Kyiv, Ukraine
4
School of Sociology and Political Science, University of Versailles Saint-Quentin-en-Yvelines, 78280 Guyancourt, France
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(9), 5664; https://doi.org/10.3390/su14095664
Submission received: 13 April 2022 / Revised: 2 May 2022 / Accepted: 5 May 2022 / Published: 7 May 2022
(This article belongs to the Special Issue Interdisciplinary Perspectives of Climate Change in the Baltic Sea Region)
Browse Figures
Versions Notes

Abstract

:
The Kherson, Mykolaiv, Odesa, and Zaporizhzhia oblasts, being adjusted to the coasts of the Black and Azov Seas, are located in the steppe zone and constitute the southern region of Ukraine. The environmental parameters and health indicators of the population of the region are sensitive to the impact of natural (e.g., climate change) and anthropogenic processes. An analysis of satellite remote sensing data (NOAA NDVI time series) for the assessment of vegetation condition demonstrates an increase in frequency and duration of drought events in the region during the last few decades. It may have a relation to climate change processes. Data analysis of local meteorological observations over the past 100 years proved alterations of some bioclimatic indexes. The Equivalent Effective Temperature (IEET) increases in winter and summer (due to the increasing repeatability of high anomalous temperatures) and remains stable in spring and autumn seasons. The increasing number and variability of climate anomalies can provoke an increase in cardiovascular and some other diseases in the local population. At the same time, an analysis of the statistical data of health indicators of the population (such as morbidity of digestion, breathing, and the endocrine and circulatory systems) shows a tendency to decrease morbidity (contrary to the indicators of the mountain regions’ population, which have higher values of life expectancy). Interrelations between environmental, climate change, and population health indicators in the Black Sea region are being discussed.

1. Introduction

Regarding the conditions of modern global warming, considerable changes of different natural systems on Earth can potentially be seen in the very near future. Recent climate change, evidently, influences the ecological and socio-economic conditions of human wellbeing in different regions and can potentially result in considerable changes in geophysical, geochemical, and biological systems in the future [1,2].
The most vulnerable to climate change are coastal regions. Climate impact drivers include, but are not limited to, temperature increase, precipitation change, sea level rise, coastal erosion, storm surge, high-tide flooding, inland flooding, etc. [1,3]. Climate change affects marine and coastal ecosystems, human settlements, and human life.
Warming of air and seawater results in Mediterraniation of the Black Sea fauna, in particular, by increasing the diversity of benthic species in the Black Sea marine ecosystem due to the immigration of new species, with adverse effects. Alien species’ invasions decline the abundance of, and cause the loss of, some native species [4].
The analysis of monitoring data and modelling of climate scenarios highlights a tendency of warming and drying over most of the Black Sea, as well as the Mediterranean and Caspian regions [5,6]. Due to a precipitation decrease, expansion of the areas with severe droughts are expected until the end of the 21st century [7]. In the nearest future, current climate change and human impact on the natural ecosystems (such as increased pollution, irrational land use, biodiversity decline, etc.) will significantly increase the risks to the vitally important domains for human settlements (water, ecosystems, food, health, and security) [6,8].
Among human settlements, cities, located in the coastal areas, are particularly vulnerable to climate change, as 70% of them are already facing the effects of climate impact drivers [2]. Coastal settlements are threatened, mainly, by flooding due to rising sea level, anomalous weather phenomena, etc.
The coastal areas of the Black and Azov Seas in the south of Ukraine are also subjected to these processes [9]. The southern region of Ukraine comprises the Kherson, Mykolaiv, Odesa, and Zaporizhzhia oblasts, being adjusted to the sea coast. The region is located in the Black Sea lowland. The spurs of the Podil Upland enter the north and northwest, including the Azov Upland in the eastern part and the Dnieper Upland in the southeast, meeting the Donetsk ridge in the east. Semi-arid climatic conditions, which are typical for the southern region of Ukraine, are exacerbated by climate changes [10].
Some of the most considerable consequences of climate change and their regional features are weather anomalies (heat waves, droughts, wind storms, heavy precipitation, river floods, etc.). Other consequences include an increase in the sea level, a spatiotemporal transformation of the steppe photosystem’s structure, a reduction in the water content in the river basin, etc. [1,2]. In recent decades, extreme weather events have, increasingly, manifested in many regions. It is not only the frequency of extreme weather events that has been increased, but also the intensity and spatial distribution over the area [8,11,12].
However, ill-considered, irrational, and wasteful human activities contribute to and aggravate the negative consequences of climate change. Such activities include, but are not limited to, the violation of building requirements, intensive agriculture and water use, improperly maintained water pipelines and related littering, lack of systematic strengthening of slopes and river banks, etc. [2].
Global warming has regional peculiarities and, in general, results in a decrease in the duration of the cold season and an increase in the duration of the vegetation season [13]. This affects the vegetative activity of ecosystems and can be confirmed by satellite remote sensing data, which, in addition to climatic records, provide important spatiotemporal information to identify global trends [14]. At the same time, drought conditions depress vegetation.
As shown in [12], in the second half of the 20th century in Europe, the area covered by droughts has increased, while in the following decade there was some decrease in the extent of drought. However, in the south of Europe, an increase in arid conditions was revealed, which affects the productivity of ecosystems. In particular, records on wheat and olive harvest as well as wine production show a large inter-annual variability, with statistically significant links to seasonal temperature and precipitation as well as a decrease in general ecosystem productivity in the Mediterranean region [15,16]. An increase in arid conditions has become a tendency, as well, in the southern region of Ukraine. The last decade was the driest, with especially noticeable droughts recorded in 2016, 2017, and 2020 [17].
Currently, heat waves are becoming more frequent and intense, especially in urban areas of Europe [18], which initiate spikes in excess heat-related deaths (for example, during the summer of 2003 in Europe) [19,20]. The increase in heat-wave days was observed in most of Europe over the past 30 years and is expected to continue during the cold season (winter) and summer until the end of this century [19].
Health indicators of the population and environmental parameters of such regions are sensitive to climate change as well as multiple natural and anthropogenic processes. Strategic sustainable development planning for the coastal regions’ communities requires understanding the tendencies of the natural processes and human health [21].
Therefore, the objective of this study was to analyse environmental, climate change, and population health indicators in the southern region of Ukraine, in order to address possible tendencies and interrelations in climate change mitigation and adaptation strategies.

2. Materials and Method

In this study, empirical data from the meteostations Kherson, Mikolaiv, Odesa, and Zaporizhzhia (namely, averaged annual and monthly surface air temperature, precipitations, extreme weather events, and some other parameters) for the period 1900–2020 were used [22,23]. Moreover, the values of the meteorological norm for the above-mentioned parameters for the period 1991–2020 were calculated. For the period 1961–1990, the respective climatic norms were obtained from [24]. Location data and key climate indicators for regional meteostations are presented in the Table 1.
NOAA AVHRR Surface Reflectance satellite imagery was used to calculate the Normalized Difference Vegetation Index (NDVI) to obtain the long-term datasets of vegetation condition and productivity over the period of 1982–2021 [25]. Satellite imagery was processed in Google Earth Engine, a large-scale web platform for cloud remote sensing data processing (https://earthengine.google.com, accessed on 6 May 2022).
In order to assess the climatic comfort for humans in a given region, the bioclimatic index Equivalent-Effective Temperature (IEET) was used. It was calculated in accordance with the Missenard formula [26], using the daily empirical data (surface temperature, air humidity, and wind velocity) from regional meteostations for the period of 1991–2020 [17].
Data for the analysis of human health patterns and tendencies were obtained from the open sources of the State Statistics Service of Ukraine and the Ministry of Health Care of Ukraine [27,28]. The daily data on the confirmed cases of infection with the SARS-CoV-2 virus and the number of people who were suspected of being infected with the same virus in the Kherson, Mykolaiv, Odesa, and Zaporizhzhia oblasts in 2020–2021 were obtained from [29].
The research results are based on the data processed according to the standard methods of statistical analysis of meteorological information [30] and on an analytical review of published materials [10,31,32]. The calculations’ statistical analysis and graphical design were performed using software packages MS Excel and StatSoft STATISTICA.

3. Results

3.1. Features of Climate Change in the Southern Region of Ukraine for 1900–2020

According to the analysis of meteorological data, the average annual temperature in the southern region of Ukraine for the period 1900–2020 was 9.9 ± 1.0 °C, while for the period 1990–2020, it was 10.7 ± 1.0 °C. At the same time, the climatic norm in the region for the period 1961–1990 was 9.8 ± 0.9 °C [24]. The annual amount of precipitation for 1900–2020 was 437 ± 85 mm/year; for 1990–2020, it was almost the same amount 440 ± 101 mm/year, while the climatic norm for the period 1961–1990 was higher (472 ± 96 mm/year [24]).
As it follows from Figure 1A, the temperature in the southern region was increasing by 1.1 ± 0.3 °C/100 years, for the period 1900–2020. The annual amount of precipitation in the region for the period 1900–2020 also increased (by ~10%, or about 40 mm/100 years) (Figure 1B).
However, climate change has greatly accelerated since the second half of the 20th century. Over the last 30 years, a more intense increase in temperature, by 0.77 ± 0.1 °C/10 years, was found (Figure 1A). The annual amount of precipitation for the period 1991–2020 has increased by 11 ± 4 mm/10 years (by 6–7% for the observation period) (Figure 1B).
In the conditions of modern climate changes, certain tendencies of changes in a seasonal course of temperature and precipitation were observed. The average monthly temperature for the period 1900–2020 increased more in the cold period (October–March, by 0.7–2.6 °C/100 years), while an increase in the warm period (April–September) was less intense (by 0.4–1.1 °C/100 years).
A comparison of the average monthly temperature (registered at the meteostations Kherson, Mikolaiv, Odesa, and Zaporizhzhia; estimated for the whole region) for the period 1991–2020 and the climatic norm for the period 1961–1990 are shown in Figure 2A. The change of the average monthly temperature for the period 1961–1990 was more intense in winter as well as in March and May (by 0.1–0.9 °C/100 years), while a decrease in April–December (by −0.4 ÷ −1.1 °C/10 years) was typical. However, for the period 1991–2020, the temperature was increasing during the whole year (0.1–1.4 °C/10 years) (Figure 2B).
The monthly precipitation for 1900–2020 increased more in the cold period (November–March, by 6–12 mm/month per 100 years, on average ~23%/month per 100 years, except October), while a precipitation decrease in the warm period (April–September, by 2–7 mm/month per 100 years, on average ~8%/month per 100 years, except May and September) was typical.
Comparison of the monthly precipitation amount for the period 1991–2020 and the climatic norm for the period 1961–1990 are shown in Figure 3A. As one can see, the maximum amount of precipitation has shifted from July to June. The amount of monthly precipitation for the period 1961–1990 decreased in the cold period of the year (November–March) and May (on average ~13%/month per 10 years), while an increase in the warm period of the year (April–September, on average ~18%/month per 10 years) was typical. However, for the period 1991–2020, the monthly precipitation was increasing (on average ~11%/month per 10 years), except in June, July, October, and November, when it was decreasing (on average ~12%/month per 10 years) (Figure 3B).
New maximum temperature records have been repeatedly registered in the southern region, as well as over the whole territory of Ukraine, during the last decades. It was determined that the repetition and duration of the summer heat (temperatures above 30 °C) increased. Furthermore, droughts take place more often and embrace larger territories [12].
For the development of possible climate change scenarios in the territory of the southern region, global scenarios of temperature changes RCP4.5 and RCP8.5 until the end of 21st century [1,2], the semi-empirical scenarios for Ukraine (Scenario 1 and Scenario 2) [33,34,35] and the tendencies of climate change in the region, since the end of the 19th century and at the beginning of the 21st century were taken into account. Consequently, climatic scenarios for this climatic zone are as follows (scenarios have a countdown from 1900): optimistic scenario (RCP4.5) is ΔT2050 ≈ 1.4 ± 0.3 °C; pessimistic scenario (RCP8.5) is ΔT2050 ≈ 2.2 ± 0.3 °C.

3.2. Extreme Weather Events

Key negative factors of the climate change impact on the environment, urban infrastructure, and human health are the intensification of extreme weather events and disturbed weather conditions. In the region, the real threat is posed by thunderstorms, hailstorms, heavy rains, dry winds, waterspout, flooding due to downpours; squally wind, drought, sawtooth storm, hot weather and disturbed weather [10].
According to the analysis of meteorological data, over the past few decades there has been some increase in the frequency and severity of the events observed [10,31,32]. There was a decrease in the number of days with minimum temperatures below 0 °C (in spring and winter), while an increase in warm-temperature events has occurred during the annual cycle, and an increasing tendency of anomalous high temperatures ≥30 °C has been observed in summer. Especially in urbanized territories, the situation is deteriorated due to pervasive phenomena of “heat waves”.
In addition, there is a tendency to increase the intensity of heavy rains, when monthly climatic norms or even more fall during a few hours. In particular, on 4 August 2019, about 120–125 mm of precipitation fell in Zaporizhzhia, which exceeded two monthly norms. On 13 July 2020, the city received almost its monthly precipitation in less than three hours. Torrential rains led to flooding in the city of Zaporizhzhia on 1, 13, and 30 June 2021.
The annual numbers of days with extreme weather events, registered at the meteostations of the region as well as calculated for the whole region for different periods, are presented in Figure 4. As can be seen, only hailstorms are rare, while all other extreme weather events are typical for the region.
A comparison of the number of extreme weather events, registered during the climatic norm period 1961–1990 [24] and the period 1986–2005 [32], shows that the situation with fog remains unchanged, while the number of thunderstorms slightly decreased; however, the average numbers of days with heavy rains, hailstorms, abnormally high temperature, dry winds, and sawtooth storms increased.

3.3. Regional Trends in the Normalized Difference Vegetation Index Dynamic

Climate changes are resulting in regional seasonality changes of temperature and precipitation: the duration of the cold season has been decreasing, whereas the duration of the vegetation season has been increasing. This affects the vegetative activity of ecosystems, and can be confirmed by satellite remote sensing data, which, in addition to climatic records, provide important spatiotemporal information to identify global trends. Vegetation indexes, in particular the Normalized Difference Vegetation Index (NDVI), are derived from satellite imagery and are widely used for the monitoring of vegetation photosynthetic capacity, carbon assimilation, evapotranspiration, vegetation phenology, and primary productivity. Data about the impact of disturbances such as drought, fire, flood, and frost [25,36] justified that the NDVI has a strong correlation with maximum temperature, potential evapotranspiration, and aridity. The positive NDVI trend was evident in most parts of Ukraine [37,38].
The NDVI dynamic per oblast for the periods of 1982–2021 is shown in Figure 5.
In general, there is a positive trend of the NDVI in all studied oblasts, for the period 1982–2020. The NDVI appears to be sharply increasing until 2000, which may indicate a positive effect of increasing temperature on the productivity of ecosystems [25]. The integral growth of the NDVI values has two possible reasons: the extension of the vegetation period and the creation of more comfortable minds for vegetation (e.g., temperature increase and growth of precipitations).
Following the period of the 2000s, the positive trend has been slowing down, and a slight negative tendency is observed in the Mykolaiv oblast.
A comparison of the long-term averaged NDVI values for the periods 1982–2000 and 2001–2020 revealed the areas with a negative NDVI tendency, for instance, the Odesa oblast coastal areas and Azov Sea coastal areas in Crimea (Figure 6). However, in general the southern region territory tends to show a slight NDVI increase.
These are areas near water bodies (estuaries), where in recent years there has been a decrease in water levels and water surface area as well as signs of desertification, which may be the cause of a significant decrease in the NDVI in the surrounding areas [39].

3.4. The Tendency of Thermal Bioclimatic Conditions Changes

As far as some changes in comfortable thermal conditions for humans are caused by regional climate change [26,40,41,42,43], we have analyzed such conditions for the population of the southern region. For this study, the equivalent-effective temperature was used [26]. For temperate latitudes, including the territory of Ukraine, comfortable thermal conditions for humans have IEET values of 16 ÷ 23 °C. Thermal conditions with values 12 ÷ 16 °C can also be considered as comfortable, if persons are active [42,43].
It was estimated that weather conditions in the region, with an apparent temperature of very cold–cold–cool–slightly cool, compose about 264 ± 8 (73%) days annually [42]. Thus, the population of the southern region experience conditions of physiological cold stress (extreme cold–strong cold–moderate cold–slight cold stress) during the prevalent time of the year. The “slightly warm” and “warm” apparent temperatures are observed on average 101 ± 7 (~27%) days per year in the region, and such apparent temperature is considered as subcomfortable and comfortable for humans. IEET values that fall into the gradation “hot” (23 ÷ 30 °C) are observed during a few days (~1). However, in certain years, over 10 days with strong heat stress for humans were observed.
The number of days during the year for each gradation of IEET and the corresponding trends for the cities of Odesa, Mykolaiv, Kherson, and Zaporizhzhia, for the period 1991–2020, are shown in Figure 7.
Determined tendencies in the redistribution of weather conditions, according to the IEET gradations for this period, are as follows (Figure 7B): a decrease in the number of days falling into gradations “very cold” (−30 ÷ −23 °C), “cold” (−23 ÷ −12 °C) and “slightly cool” (0 ÷ 12 °C), by −0.1, −0.8, and −0.5 days per year, respectively, and an increase in the number of days corresponding to the gradations “cool” (−12 ÷ 0 °C), “slightly warm” (12 ÷ 16 °C), “warm” (16 ÷ 23 °C), and “hot” (23 ÷ 30 °C), by 0.3, 0.02, 1.1, and 0.03 days per year, respectively. The similar tendencies in the regional redistribution of bioclimatic conditions were described earlier in [42].
Thus, climate change causes more comfortable temperature conditions for people during the cold season and somewhat complicates such conditions in the warm season, by increasing the frequency and duration of abnormally high temperatures.

3.5. Dynamic of the Health and Well-being Indicators of the Region

Climate-dependent changes of the bioclimatic conditions in the southern region definitely influence mental and physical human health and, consequently, the well-being of the population. There is, as well, clear evidence of the effect of climate impact drivers on public health (for example, see [19,20]). Such influence can be direct (e.g., mediated through bioclimatic conditions) and indirect (e.g., mediated through increasing the risk of environmentally dependent decreases).
Presented below, the results describe the dynamic of the health indicators of the southern region’s population for the last decades and create the basis for the assessment of the risk caused by climate impact drivers on human health.
Using demographic data of the National Statistic Service [27,28], we have analyzed, among others, such integrated health and well-being indicators as life expectancy, for the time frame 2000–2020. The value of this indicator for the population of the southern region is lower than for the population of the EU countries, but it has been growing non-monotonically in all oblasts, at least since 2000 (Figure 8A). At the same time, the overall mortality rates of the population in the region remain relatively high and are not decreasing (Figure 8B). On the contrary, we saw a sharp increase in the indicator in 2020, which may be the result of the SARS-CoV-2 pandemic.
However, the analysis of the dynamics of mortality rates by their causes from various diseases resulted in the establishment of a certain trend (Figure 9). In particular, there are pronounced downward trends in the dynamics of mortality from some environmentally dependent diseases. Figure 9A represents the results of statistical estimates and shows the dynamics of mortality caused by parasitic and infectious diseases. As we can see, these indicators are declining in all parts of the southern region. In 2005, the mortality rates from these diseases in the Odesa oblast were twice as high as in the Zaporizhzhia oblast, but both decreased markedly and converged in 2020.
Similar trends are also observed in the rates of mortality from respiratory diseases during 2005–2017 (Figure 9B), the spread of which is directly related to the quality of the environment [44]. However, since 2019, the number of deaths caused by respiratory diseases has increased sharply, and this increase is, most probably, connected with the SARS-CoV-2 pandemic.
In 2019–2021, the world faced the challenge of the SARS-CoV-2 pandemic outbreak, which reached Ukraine in early 2020 [29,45]. In temperate latitudes, the spread of respiratory viruses is mainly seasonal, as their onset occurs in the first half of October and the end of March, but an atypical spread of diseases caused by the SARS-CoV-2 virus was also recorded in the warm periods of 2020 and 2021. The main factors that can affect the spread and development of the influenza virus, in addition to strain-specific characteristics, social, and behavioral aspects of the population, the immune status of an individuals, and the level of economy and medical care in the country, are also related to the environmental conditions [27,28].
According to the data [29], by April 2022, over 4975.8·103 confirmed cases of SARS-CoV-2 infection and more than 108.0 × 103 fatal cases were recorded in the south of Ukraine. The percentage of confirmed cases of infection for the number of people living in the region is 4–6%, and for deaths is 0.2 ± 0.05%. For some oblasts, these parameters are as follows (in 103 cases): the Zaporizhzhia oblast is 227.2 and 6.1, the Mykolaiv oblast is 152.5 and 3.6, the Odesa oblast is 331.3 and 6.1, and the Kherson oblast is 110.0 and 2.9. It was confirmed that seasonal climatic variability and extreme weather conditions affected the spread of viruses [46,47].
The recorded peculiarities of the indicators of health and well-being of the population of the southern region depend on climate impact drivers, however, socio-economic and other factors also contributed to these patterns.

4. Discussion

The data presented above indicate that climatic indicators in the southern region of Ukraine show a steady trend towards change. This picture is not unique for the region and is observed at least throughout the territory of Ukraine, as well as other coastal areas. In particular, for the last 120 years, climate changes were characterized by an increase in surface temperature by 1.2 ± 0.2 °C/100 years [48,49,50]. At the same time, climate change in Ukraine has spatial differences. In the northern regions, warming was more intense (by 1.7 ± 0.4 °C/100 years) with some decrease in the amount of precipitation during the year, especially in summer, while in the southern region, the temperature demonstrated a less intense increase (by 0.8 ± 0.3 °C/100 years), with a slight increase in precipitation by ~10% for the cold period and a significant decrease in summer by ~20–30% [33,50]. An intensification of temperature increase and a decrease in precipitation, at the same time as an increase in the frequency of heat waves and heavy precipitation events during recent decades in other parts of the country, have all been recorded.
Similar trends are observed in other regions of Europe [7,51,52,53]. In the Black Sea coastal area, a significant temperature increase has been observed for the period 1982–2014 [51]. Meteorological observation in Georgia during 1981–2010 has shown a significant warming in summer time, at the rate of 0.84 °C/10 years, which is almost twice as fast as the annual trend of temperature (0.47 °C/10 years) [52].
Increasing heat extremes during the summer and fall seasons have been registered since the 1960s [52,53]. Trends toward an increase in the frequency and intensity of extreme precipitation for the period 1961–2008 have been identified in the western coast of the Black Sea, covering the Bulgarian, Romanian, and (partly) Ukrainian coasts [53].
Such changes are affecting the state of local terrestrial ecosystems. According to the presented and described results (Figure 5 and Figure 6), the NDVI, as an integral indicator of photosynthetic activity of the territory, is increasing synchronously with temperature and total precipitation. However, an increase in surface temperature can cause droughts, therefore, in some southern localities, a downward trend in the NDVI has been observed in recent years [25,39]. Therefore, registered changes in vegetation activity in the region can be considered as one of the multiple consequences of climate change.
Based on the described results, as well as taking into account published scientific data, it can be argued that climate change in the southern region of Ukraine has caused some other adverse effects on the environment.
A noticeable spatiotemporal transformation of the steppe phytosystem structure under the influence of climate was registered in some protected areas within the natural reserve “Elanetskyj steppe”, Black Sea, and “Askania-Nova” Biosphere Reserves. Monitoring data and an analysis of the main typological varieties of steppes became the basis for identifying trends towards the decreasing xeromorphic component of photosystem (by 30 ± 10%), along with the increasing of mesomorphic (by 10 ± 5%) and ligneous (by 20 ± 10%) components, during the monitoring period since the 1950s [54,55].
The level of the Black and Azov Seas is increasing by 20 ± 3 sm/100 years [9,56,57]. During the last 120 years, it corresponds to the increase in the global sea level [1,2]. This process, as well as increasing the human-caused load on the environment, became the reason for the acceleration of some negative phenomena in the coastal ecosystem, namely an intensification of the processes of abrasion and erosion, the flooding of the coast and maritime spits, the changing characteristics of sea water (a decrease of water transparency, fluctuations in water salinity and expansion of hypoxia zones), and the degradations of biodiversity resulting, in particular, from the intervention of alien species.
Changes in the river deltas of the region are mainly unfavorable. Increasing water temperature and salinity, decreasing depths due to silting, reducing volume of freshwater flow from rivers, and intensifying seawater outcrops from the seas, through the raising sea level and the high content of nutrients (ammonia and nitrate, mineral phosphorus, etc.) have been detected in the Dnipro–Bug, Dniester, and Danube estuaries and deltas [58,59]. This has led to the degradation of native biodiversity in estuaries and causes increasing marine species intervention.
Seasonal reductions of water content in the river basins (South Bug, Dnipro, Dniester, etc.) and reservoirs are mainly caused by the increased water consumption and climate change (in particular, in summer, since the surface temperature rises, precipitation decreases, and water evaporates intensively). The intensive water pollution by wastewater from the municipal sector as well as industrial and agricultural enterprises, and the exploitation of water transport, makes the situation even more complicated [59,60,61].
The increasing frequency and intensity of extreme weather events, as well, can be considered as consequences of climate change and local/regional conditions [10,31,32,48]. Heat waves, droughts, wind storms, heavy precipitation, river floods, etc., are happening more and more often. During the annual cycle, a visible decrease in the number of frosty days is observed, while an increase in warm days has occurred over the year. The number of days with a maximum temperature above 30 °C is increasing. Precipitation extremes (the number of days with precipitation > 10 mm) are most frequent in summer and are strongly associated with flooding and waterlogging.
Changes in the temperature and other characteristics of the region affect bioclimatic conditions, having a direct and indirect impact on the health and well-being of the local population. In the cold period of the year, the number of days with uncomfortable conditions (“very cold”, “cold”, and “slightly cool”) is decreasing, while the number of days with comfortable conditions in the warm season is increasing (Figure 7). At the same time, the shift towards less comfortable climate conditions has been fixed in summer—probably, due to the repeatability of the high anomalous temperature and aridization. According to the results of some studies [42], human mortality rates in summer are increasing, when IEET exceeds 26 °C. Increased death numbers associated with hypothermia can be registered, when the daily minimum IEET is less than −14 °C.
To some extent, this can also affect the integrated indicators of the health and well-being of the population. An increase in temperature and more frequent periods of extreme heat correlate with a significant increase in the number of diseases and the mortality rate, especially among the elderly, as was observed in Europe in 2003 [19,20].
The dynamics of changes of some health indicators can be clearly seen in Figure 8 and Figure 9, but it is premature to state, unequivocally, that these changes are caused by climate impact drivers only. Further analysis is needed to determine the role of climate factors in changing health and well-being indicators, and, in particular, in the expansion of the SARS-CoV-2 pandemic [46,47].
However, there is no doubt that heat waves, extreme weather events, and other climate impact drivers increase the risk of the spread of infectious diseases, allergic reactions, and adverse health and environmental effects. Assessing such risks is an important prerequisite for the elaboration of the strategies for the development of local communities and regions. Table 2 presents the results of the risk assessment for the health and environmental sectors, based on an analysis of the long-term meteorological data for the southern region, while applying practical methodological approaches [62,63]. As can be seen, the risk of deterioration of human health and the state of the environment (water, soil, biodiversity) by climate impact drivers is mainly assessed as high. It means that corresponding provisions to manage such risks have to be integrated into operational management plans and development strategies at the local and regional levels.

5. Conclusions

The recent tendencies of climate change and the change in environment of the southern region of Ukraine have drawn certain consequences for the environment, local economy, and the well-being and health of the population. Since the end of the 19th century until the beginning of the 21st century, in the territory of the southern region of Ukraine, there was an increasing temperature, by 1.1 ± 0.3 °C/100 years, with a maximum of warming in the cold period of the year, and there was a slight increase in the amount of precipitation, up to ~10% per 100 years. Moreover, the tendency of climate change has increased much higher over the last 30 years.
Climate change and regional features of their manifestations are considered to be one of the main causes of weather anomalies. The main potential adverse environmental effects of climate change in the southern region of Ukraine include, among others, the spatiotemporal transformation of the steppe phytosystem structure, the increase in the sea level, unfavorable changes in the deltas of rivers, and the reduction of the water content in the basins of rivers (South-Bug, Dnipro, Dniester etc.) and reservoirs, increasing the frequency and intensity of extreme weather events.
The duration of the vegetation season has shown a noticeable increasing trend, associated with the starting date (temperature near 10 °C), which is coming earlier, and the ending date, which is later. The positive NDVI trend has been observed in the region at least since 1980; however, since 2000, the sharp increasing tendency of the NDVI has slowed down, and a downward trend has been observed in some areas.
Change of climate conditions (temperature increasing and more frequent periods of extreme heat) has led to some changes in the bioclimatic indexes for humans. There are shifts towards a more comfortable climate in winter, due to warming, and in summer, due to the increasing repeatability of anomalous high temperatures. Population in the region is decreasing, however, which demonstrates stable growth of the average life expectancy. Respiratory diseases are the most common diseases in the region. Statistic data of population morbidity (in particular, environmentally sensitive respiratory diseases) demonstrate specific regional dynamics and have tended to increase during the last years. Such a dynamic may have, among others, causes related to climate change.
Unfortunately, the new realities caused by the war in the southern region of Ukraine have had a horrible impact on human life, making significant negative adjustments in the course of environmental processes and leading to a terrible deterioration of the natural and human-made environment.

Author Contributions

Conceptualization, V.K. and S.B.; data curation, S.B., T.K. and O.Z.; formal analysis, S.B., T.K. and O.Z.; funding acquisition, V.K.; investigation, V.K. and T.K.; methodology, V.K., S.B. and T.K.; project administration, V.K.; resources, S.B. and T.K.; software, S.B. and T.K.; validation, T.K.; visualization, S.B. and T.K.; writing–original draft, S.B.; writing–review and editing, V.K. and S.B. All authors have read and agreed to the published version of the manuscript.

Funding

APC was funded by the National University of Kyiv-Mohyla Academy (Ukraine).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The results presented in this study are based on the data available in the open sources, which are described in the section Methods and Materials and are listed in the References section.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. IPCC. 2013: The Physical Science Basis. Working Group, I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate, UNEP/WMO. 2013. Available online: http://www.ipcc.ch/report/ar5/wg1 (accessed on 12 April 2022).
  2. IPCC. 2021: Summary for Policymakers. In Climate Chang. 2021: The Physical Science Basis; Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M.I., et al., Eds.; Cambridge University Press: Cambridge, UK, 2021; p. 3948. Available online: https://www.ipcc.ch/report/ar6/wg1/ (accessed on 12 April 2022).
  3. Stanev, E.; Peneva, E. Regional Sea Level Response to Global Climatic Change: Black Sea examples. Glob. Planet. Chang. 2002, 32, 33–47. Available online: https://uol.de/f/5/inst/icbm/ag/physoz/download/from_emil/publicationlist/pdf/GPCh_sp_01.pdf (accessed on 12 April 2022). [CrossRef]
  4. Sezgin, M.; Bat, L.; Katagan, A.; Ates, A.S. Likely effects of global climate change on the Black Sea benthic ecosystem. J. Environ. Prot. Ecol. 2010, 11, 238–246. [Google Scholar]
  5. Barcikowska, M.J.; Kapnick, S.; Krishnamurty, L.; Russo, S.; Cherchi, A.; Folland, C. Changes in the future summer Mediterranean climate: Contribution of teleconnections and local factors. Earth Syst. Dyn. 2020, 11, 161–181. [Google Scholar] [CrossRef] [Green Version]
  6. Cramer, W.; Guiot, J.; Fader, M.; Garrabou, J.; Gattuso, J.-P.; Iglesias, A.; Lange, M.A.; Lionello, P.; Llasat, M.C.; Paz, S.; et al. Climate change and interconnected risks to sustainable development in the Mediterranean. Nat. Clim. Change 2018, 8, 972–980. [Google Scholar] [CrossRef] [Green Version]
  7. Efimov, V.; Volodin, E.; Anisimov, A.; Barabanov, V. Regional projections of climate change for the Black Sea-Caspian Sea area in late 21st century. Phys. Oceanogr. 2015, 5, 49–66. [Google Scholar] [CrossRef] [Green Version]
  8. Hochman, A.; Marra, F.; Messori, G.; Pinto, J.; Raveh-Rubin, S.; Yosef, Y.; Zittis, G. Extreme weather and societal impacts in the eastern Mediterranean. Earth Syst. Dynam. 2022, 13, 749–777. [Google Scholar] [CrossRef]
  9. Goryachkin, Y.N.; Ivanov, V.A. Climate Changes and dynamics of coast of Ukraine. Ann. Natl. Acad. Sci. Kraine 2008, 10, 118–122. Available online: http://nbuv.gov.ua/UJRN/dnanu_2008_10_23 (accessed on 12 April 2022).
  10. Lipinskyy, V.; Dyachuk, V.; Babichenko, V. (Eds.) The Climate of Ukraine; Rayevskyy Publishing: Kyiv, Ukraine, 2003; p. 344. (In Ukrainian) [Google Scholar]
  11. Sedlmeier, K.; Feldmann, H.; Schädler, G. Compound summer temperature and precipitation extremes over central Europe. Theor. Appl. Climatol. 2018, 131, 1493–1501. [Google Scholar] [CrossRef]
  12. Bordi, I.; Fraedrich, K.; Sutera, A. Observed drought and wetness trends in Europe: An update. Hydrol. Earth Syst. Sci. 2009, 13, 1519–1530. [Google Scholar] [CrossRef] [Green Version]
  13. Baumbach, L.; Siegmund, J.; Mittermeier, M.; Donner, R. Impacts of temperature extremes on European vegetation during the growing season. Biogeosciences 2017, 14, 4891–4903. [Google Scholar] [CrossRef] [Green Version]
  14. Karnieli, A.; Agam, N.; Pinker, R.T.; Anderson, M.; Imhoff, M.L.; Gutman, G.G.; Panov, N.; Goldberg, A. Use of NDVI and land surface temperature for drought assessment: Merits and limitations. J. Clim. 2010, 23, 618–633. [Google Scholar] [CrossRef]
  15. Lionello, P.; Congedi, L.; Reale, M.; Scarascia, L.; Tanzarella, A. Sensitivity of typical Mediterranean crops to past and future evolution of seasonal temperature and precipitation in Apulia. Reg. Environ. Chang. 2014, 14, 2025–2038. [Google Scholar] [CrossRef]
  16. Orlandi, F.; Rojo, J.; Picornell, A.; Oteros, J.; Pérez-Badia, R.; Fornaciari, M. Impact of Climate Change on Olive Crop Production in Italy. Atmosphere 2020, 11, 595. [Google Scholar] [CrossRef]
  17. World Weather. 2021. Available online: https://en.tutiempo.ne/climate/ukraine.html (accessed on 12 April 2022).
  18. Koffi, B.; Koffi, E. Heat waves across Europe by the end of the 21st century: Multiregional climate simulations. Clim. Res. 2008, 36, 153–168. [Google Scholar] [CrossRef] [Green Version]
  19. Poumadere, M.; Mays, C.; Mer, S.; Blong, R. The 2003 Heat Wave in France: Dangerous Climate Change Here and Now. Risk Anal. 2005, 25, 1483–1494. [Google Scholar] [CrossRef]
  20. Garc’ia-Herrera, R.; D´Iaz, J.; Trigo, R.M.; Luterbacher, J.; Fisher, E.M. A Review of the European Summer Heat Wave of 2003. Crit. Rev. Environ. Sci. Technol. 2010, 40, 267–306. [Google Scholar] [CrossRef]
  21. The Sustainable Development Goals. Available online: https://www.un.org/sustainabledevelopment/wp-content/uploads/2019/01/SDG_Guidelines_AUG_2019_Final.pdf (accessed on 12 April 2022).
  22. Open Data-Server. 2020. Available online: https://opendata.dwd.de/climate_environment (accessed on 12 April 2022).
  23. Climate Explorer. Available online: http://climexp.knmi.nl/selectstation.cgi?id=someone@somewhere (accessed on 12 April 2022).
  24. The Climate Cadastre of Ukraine (Standard Norms for the Period 1961–1990); Central Geophysical Observatory: Kyiv, Ukraine, 2005; p. 48.
  25. NOAA CDR AVHRR NDVI: Normalized Difference Vegetation Index, Version 5. Available online: https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_AVHRR_NDVI_V5#description (accessed on 12 April 2022).
  26. Teodoreanu, E. Thermal Comfort Index. Present Environ. Sustain. Dev. 2016, 10, 105–118. [Google Scholar] [CrossRef] [Green Version]
  27. Statistic Data “Health Care Institutions and Morbidity of the Population of Ukraine”. 2017. Available online: https://ukrstat.org/uk/druk/publicat/Arhiv_u/15/Arch_zozd_bl.htm (accessed on 12 April 2022).
  28. Demographic Yearbook “Population of Ukraine, 2017–2020”. Kyiv, SSS of Ukraine, 2018–2021. Available online: http://database.ukrcensus.gov.ua/PXWEB2007/eng/publ_new1/index.asp (accessed on 12 April 2022).
  29. Coronavirus Epidemic Monitoring System. 2021. Available online: https://phc.org.ua/kontrol-zakhvoryuvan/inshi-infekciyni-zakhvoryuvannya/koronavirusna-infekciya-covid-19 (accessed on 12 April 2022).
  30. Von Storch, H.; Zwiers, F.W. Statistical Analysis in Climate Research; Cambridge University Press: Cambridge, UK, 1999; p. 495. [Google Scholar]
  31. Lipinsky, V.; Osadchyy, V.; Babichenko, V. (Eds.) Natural Meteorological Phenomena on the Territory of Ukraine for the Last Twenty Years (1986–2005); Nika-Center: Kyiv, Ukraine, 2006; p. 312. (In Ukrainian) [Google Scholar]
  32. Kulbida, M.; Barabash, M. (Eds.) Climate of Ukraine: At the Past and the Future? Steel: Kyiv, Ukraine, 2009; p. 234. (In Ukrainian) [Google Scholar]
  33. Voloshchuk, V.; Boychenko, S. Scenarios of possible changes of climate of Ukraine in 21th century (under influence of global anthropogenic warming). In The Climate of Ukraine; Lipinskyy, V., Dyachuk, V., Babichenko, V., Eds.; Raevsky Publishing: Kiev, Ukraine, 2003; pp. 308–331. (In Ukrainian) [Google Scholar]
  34. Krakovska, S.; Palamarchuk, L.; Gnatiuk, N.; Shpytal, T. Projections of Air Temperature and Relative Humidity in Ukraine Regions to the Middle of the 21st Century Based on Regional Climate Model Ensembles. Geoinformatika 2018, 3, 62–77. Available online: http://www.geology.com.ua/en/7514-2 (accessed on 12 April 2022).
  35. Krakovska, S.; Palamarchuk, L.; Gnatiuk, N.; Shpytal, T.; Shedemenko, I. Changes in Precipitation Distribution in Ukraine for the 21st Century Based on Data of Regional Climate Model Ensemble. Geoinformatika 2017, 4, 62–74. Available online: http://www.geology.com.ua/en/7195-2 (accessed on 12 April 2022).
  36. Pettorelli, N.; Ryan, S.; Mueller, T.; Bunnefeld, N.; Jedrzejewska, B.; Lima, M.; Kausrud, K. The Normalized Difference Vegetation Index (NDVI): Unforeseen Successes in Animal Ecology. Clim. Res. 2011, 46, 15–27. Available online: https://www.int-res.com/articles/cr2011/46/c046p015.pdf (accessed on 12 April 2022). [CrossRef]
  37. Tarariko, O.; Ilienko, T.; Kuchma, T.; Velychko, V. Long-term prediction of climate change impact on the productivity of grain crops in Ukraine using satellite data. Agric. Sci. Pract. 2017, 4, 3–13. [Google Scholar] [CrossRef]
  38. Ghazaryan, G.; Dubovyk, O.; Kussul, N.; Menz, G. Towards an Improved Environmental Understanding of Land Surface Dynamics in Ukraine Based on Multi-Source Remote Sensing Time-Series Datasets from 1982 to 2013. Remote Sens. 2016, 8, 617. [Google Scholar] [CrossRef] [Green Version]
  39. Fasel, M.; Bréthaut, C.; Rouholahnejad, E.; Lacayo-Emery, M.A.; Lehmann, A. Blue water scarcity in the Black Sea catchment: Identifying key actors in the water-ecosystem-energy-food nexus. Environ. Sci. Policy 2016, 66, 140–150. [Google Scholar] [CrossRef]
  40. Epstein, Y.; Moran, D. Thermal Comfort and the Heat Stress Indices. Ind. Health 2006, 44, 388–398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Jendritzky, G.; Tinz, B. The thermal environment of the human being on the global scale. Glob. Health Action 2009, 2, 1–12. [Google Scholar] [CrossRef] [PubMed]
  42. Boychenko, S.; Zabarna, O.; Kuchma, T. Comfortable climatic conditions for human on the territory of Ukraine for the period 1991–2020. Geofiz. Zhurnal 2021, 43, 91–104. [Google Scholar] [CrossRef]
  43. Vitchenko, A.; Telesh, I. Current Trends of the Climatic Comfort Change in Minsk. J. Belarus. State Univ. Geogr. Geol. 2017, 2, 103–113. Available online: https://elib.bsu.by/bitstream/123456789/185579/1/103-113.pdf (accessed on 12 April 2022).
  44. Karamushka, V.; Kapitanyuk, K. Peculiarities of morbidity of the rural population of the coastal regions of Ukraine. In Proceedings of the Laudato Si: Ecological Contribution to the Sustainable Development of Society: Materials of the International Scientific-Practical Conference, Kyiv, Ukraine, 10–11 December 2019; Karamushka, V., Ed.; Ivano-Frankivsk: Kyiv, Ukraine; Drogobich: Kolo, Poland, 2020; pp. 35–45. [Google Scholar]
  45. WHO. 2021: Coronavirus Disease (COVID-19). Available online: https://www.who.int/ (accessed on 12 April 2022).
  46. Park, J.-E.; Son, W.-S.; Ryu, Y.; Choi, S.; Kwon, O.; Ahn, I. Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region. Influenza Other Respir. Viruses 2020, 14, 11–18. [Google Scholar] [CrossRef] [Green Version]
  47. Boychenko, S.; Holubka, O.; Karamushka, V. About the influence of environmental conditions on the distribution of the SARS-CoV-19 virus in Ukraine. Geofiz. Zhurnal 2020, 5, 205–232. [Google Scholar] [CrossRef]
  48. Boychenko, S.; Voloshchuk, V.; Movchan, Y.; Serdjuchenko, N.; Tkachenko, V.; Tyshchenko, O.; Savchenko, S. Features of climate change on Ukraine: Scenarios, consequences for nature and agroecosystems. Proc. Natl. Aviat. Univ. 2016, 4, 96–113. [Google Scholar] [CrossRef]
  49. Boychenko, S. Semi–Empirical Models and Scenarios of Global and Regional Changes of Climate; Voloshchuk, V., Ed.; Naukova Dumka: Kyiv, Ukraine, 2008; p. 310. Available online: https://www.researchgate.net/publication/321301027 (accessed on 12 April 2022). (In Ukrainian)
  50. Boychenko, S.; Voloshchuk, V.; Kuchma, T.; Serdyuchenko, N. Long-time changes of the thermal continentality index, the amplitudes and the phase of the seasonal temperature variation in Ukraine. Geofiz. Zhurnal 2018, 40, 81–96. [Google Scholar] [CrossRef] [Green Version]
  51. Aleshina, M.; Toropova, P.; Semenov, V. Temperature and Humidity Regime Changes on the Black Sea Coast in 1982–2014. Russ. Meteorol. Hydrol. 2018, 43, 235. [Google Scholar] [CrossRef]
  52. Keggenhoff, I.; Elizbarashvili, M.; Amiri-Farahani, A.; King, L. Trends in daily temperature and precipitation extremes over Georgia, 1971–2010. Weather Clim. Extrem. 2014, 4, 75–85. [Google Scholar] [CrossRef] [Green Version]
  53. Croitoru, A.-E.; Chiotoroiu, B.-C.; Ivanova Todorova, V.; Torică, V. Changes in precipitation extremes on the Black Sea Western Coast. Glob. Planet. Chang. 2013, 102, 10–19. [Google Scholar] [CrossRef]
  54. Tkachenko, V. Phytocoenotic Monitoring of the Reserve Successions in the Ukrainian Steppe Nature Reserve; Phytosociocenter: Kyiv, Ukraine, 2004; p. 184. (In Ukrainian) [Google Scholar]
  55. Tkachenko, V.; Boychenko, S. Structural drift of Ukraine’s steppe phytosystems under the influence of climatic changes and prognostic scenarios for the first half of the XXI-st century. Dopov. Nac. Akad. Nauk Ukr. 2014, 4, 172–180. (In Ukrainian) [Google Scholar] [CrossRef]
  56. Ilyin, Y.; Fomin, V.; Dyakov, N.; Gorbach, S. Hydrometeorological Conditions of the Seas of Ukraine. V.1: Azov Sea; ECOCI Publication: Sevastopol, Ukraine, 2009; p. 421. (In Ukrainian) [Google Scholar]
  57. Ilyin, Y.; Repetin, L.; Belokopytov, V.; Goryachkin, Y.; Dyakov, N.; Kubryakov, A.; Stanichny, S. Hydrometeorological Conditions of the Seas of Ukraine. V.2: Black Sea; ECOCI Publication: Sevastopol, Ukraine, 2012; p. 402. (In Ukrainian) [Google Scholar]
  58. The EU Water Framework Directive-Integrated River Basin Management for Europe. Available online: https://ec.europa.eu/environment/water/water-framework/index_en.html (accessed on 12 April 2022).
  59. Khilchevsky, V. (Ed.) Water Resources and Quality of River Waters of the Southern Bug Basin; Nika-Center Publication: Kyiv, Ukraine, 2009; p. 184. (In Ukrainian) [Google Scholar]
  60. Gorbachova, L. A spacious connection between the elements of the water balance of the rivers’ water intakes in Ukraine. Ukr. Geogr. J. 2014, 2, 17–21. [Google Scholar] [CrossRef] [Green Version]
  61. Zabulonov, Y.; Boychenko, S.; Zholudenko, O.; Buhera, M. The tendencies of climate change and the runoff in the middle-lower part in the basin of Southern Bug River (in the region of the location the South-Ukrainian Nuclear Power Plant). Geofiz. Zhurnal 2018, 40, 268–283. [Google Scholar] [CrossRef]
  62. European Commission. Integrating the Environment and Climate Change into EU International Cooperation and Development. In Towards Sustainable Development: Tools and Methods Series, Guidelines No 6; Directorate-General for International Cooperation and Development European Commission: Brussels, Belgium; Luxembourg, 2016; p. 142. Available online: https://op.europa.eu/en/publication-detail/-/publication/7887e701-3f4e-11e6-af30-01aa75ed71a1 (accessed on 12 April 2022).
  63. Kona, A.; Bertoldi, P.; Palermo, V.; Rivas, S.; Hernandez, Y.; Barbosa, P.; Pasoyan, A. Guidebook-How to Develop a Sustainable Energy and Climate Action Plan in the Eastern Partnership Countries, European Commission, Ispra, 2018, JRC113659. Available online: http://com-east.eu/media/k2/attachments/Com_east_guidebook_2018.pdf (accessed on 12 April 2022).
Sustainability 14 05664 g001 550
Figure 1. The annual average air temperature (A) and the annual amount of precipitation (B) for the southern region of Ukraine (1—empirical data, 2a—linear trend for the period 1900–2020, 2b—linear trend for the period 1991–2020, 3—±σ from trend).
Figure 1. The annual average air temperature (A) and the annual amount of precipitation (B) for the southern region of Ukraine (1—empirical data, 2a—linear trend for the period 1900–2020, 2b—linear trend for the period 1991–2020, 3—±σ from trend).
Sustainability 14 05664 g001
Sustainability 14 05664 g002 550
Figure 2. Seasonal variation of temperature (A) and corresponding trends (B): average monthly values for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4) as well as the values of the climatic norm estimated for the whole region, for the periods 1991–2020 (5) and 1961–1990 (6).
Figure 2. Seasonal variation of temperature (A) and corresponding trends (B): average monthly values for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4) as well as the values of the climatic norm estimated for the whole region, for the periods 1991–2020 (5) and 1961–1990 (6).
Sustainability 14 05664 g002
Sustainability 14 05664 g003 550
Figure 3. Seasonal variation of precipitation (A) and corresponding trends (B): monthly precipitation values for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4) as well as for the whole region (5), for the period 1991–2020; 6—values of the climatic norm for the period 1961–1990.
Figure 3. Seasonal variation of precipitation (A) and corresponding trends (B): monthly precipitation values for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4) as well as for the whole region (5), for the period 1991–2020; 6—values of the climatic norm for the period 1961–1990.
Sustainability 14 05664 g003
Sustainability 14 05664 g004 550
Figure 4. Annual average number of days with extreme weather events for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4), as well as the whole region (5), for the climatic norm period (1961–1990), and for the whole region, for the period 1986–2005 (6).
Figure 4. Annual average number of days with extreme weather events for meteostations Zaporizhzhia (1), Mikolaiv (2), Odesa (3), and Kherson (4), as well as the whole region (5), for the climatic norm period (1961–1990), and for the whole region, for the period 1986–2005 (6).
Sustainability 14 05664 g004
Sustainability 14 05664 g005 550
Figure 5. Dynamic of the NDVI, averaged by vegetation season (April–October) using satellite imagery of the southern region of Ukraine, for the period 1982–2020 (Zaporizhzhia (1), Mykolaiv (2), Odesa (3), Kherson (4) oblasts, the whole region (5), liner trend (6)).
Figure 5. Dynamic of the NDVI, averaged by vegetation season (April–October) using satellite imagery of the southern region of Ukraine, for the period 1982–2020 (Zaporizhzhia (1), Mykolaiv (2), Odesa (3), Kherson (4) oblasts, the whole region (5), liner trend (6)).
Sustainability 14 05664 g005
Sustainability 14 05664 g006 550
Figure 6. The spatial-temporal distribution of the NDVI, averaged for vegetation period (April–October) in the southern region of Ukraine for the period 1982–2020 (A), and the difference of the NDVI values for the periods 1982–2000 and 2001–2020 (B).
Figure 6. The spatial-temporal distribution of the NDVI, averaged for vegetation period (April–October) in the southern region of Ukraine for the period 1982–2020 (A), and the difference of the NDVI values for the periods 1982–2000 and 2001–2020 (B).
Sustainability 14 05664 g006
Sustainability 14 05664 g007 550
Figure 7. Distribution of the number of days with thermal conditions for humans, due to IEET gradations (A) and corresponding trends (B), based on the data of the meteostations Zaporizhzhia (1), Mykolaiv (2), Odesa (3), and Kherson (4) as well as for the southern region as a whole (5), for the period 1991–2020.
Figure 7. Distribution of the number of days with thermal conditions for humans, due to IEET gradations (A) and corresponding trends (B), based on the data of the meteostations Zaporizhzhia (1), Mykolaiv (2), Odesa (3), and Kherson (4) as well as for the southern region as a whole (5), for the period 1991–2020.
Sustainability 14 05664 g007
Sustainability 14 05664 g008 550
Figure 8. Average life expectancy at birth (A) and mortality dynamic of the population (B) of the Kherson (1), Mykolaiv (2), Odesa (3), and Zaporizhzhia (3) regions in 2000–2020.
Figure 8. Average life expectancy at birth (A) and mortality dynamic of the population (B) of the Kherson (1), Mykolaiv (2), Odesa (3), and Zaporizhzhia (3) regions in 2000–2020.
Sustainability 14 05664 g008
Sustainability 14 05664 g009 550
Figure 9. Dynamics of the number of deaths caused by parasitic and infectious diseases (A00–B99) (A) and respiratory diseases (J00–J98) (B) in the Kherson (1), Mykolaiv (2), Odesa (3), and Zaporizhzhia (3) regions in 2005–2020.
Figure 9. Dynamics of the number of deaths caused by parasitic and infectious diseases (A00–B99) (A) and respiratory diseases (J00–J98) (B) in the Kherson (1), Mykolaiv (2), Odesa (3), and Zaporizhzhia (3) regions in 2005–2020.
Sustainability 14 05664 g009
Table
Table 1. Location of the meteostations * of the southern region of Ukraine and respective climatic norms of average temperature and precipitation for the periods 1961–1990 and 1991–2020.
Table 1. Location of the meteostations * of the southern region of Ukraine and respective climatic norms of average temperature and precipitation for the periods 1961–1990 and 1991–2020.
StationLatitude, GradLongitude, GradAltitude, mTemperature, °CPrecipitation, mm/year
1961–19901991–20201961–19901991–2020
Kherson46.6332.61549.8 ± 0.910.9 ± 0.9441 ± 86430 ± 109
Mikolaiv47.0331.965010.0 ± 0.910.8 ± 0.9410 ± 95472 ± 89
Odesa46.4330.764210.1 ± 0.811.3 ± 0.9464 ± 106463 ± 105
Zaporizhzhia47.8035.251129.4 ± 1.010.4 ± 1.0510 ± 103449 ± 97
* The spelling of the name of the city is Mykolaiv; the corresponding meteostation is Mikolaiv.
Table
Table 2. Risks associated with climate change for environmental and health sectors in the southern region of Ukraine.
Table 2. Risks associated with climate change for environmental and health sectors in the southern region of Ukraine.
Sector of ImpactExpected
Impact Driver		ProbabilityExpected Level of RiskTimeframeImpact Indicators
Environment and biodiversityWarmingHigh ModerateMedium- and long-termExpansion of the habitats of thermophilic species to the north. Increasing plant productivity.
Dry weatherHighHighShort- and medium-termDepletion of soils and water resources. Changes in biodiversity. Reduced plant productivity. Fires. Pests’ expansion. Costs of elimination of consequences.
Extremely hot weatherHighHighShort- and medium-termDepletion of soils and water resources. Changes in biodiversity. Reduced plant productivity. Fires. Pests’ expansion. Costs of elimination of consequences.
Heavy rainHighHighShort- and medium-termFlooding, pollution of water bodies, damage to trees.
Costs of elimination of consequences.
Thunderstorm,
hailstorm, squall		ModerateModerateShort- and medium-termDamage. Fires. Costs of elimination of consequences.
Dry wind, sawtooth stormModerateHighMedium- and long-termDepletion of soils and water resources. Changes in biodiversity. Reduced plant productivity. Fires. Pests’ expansion. Costs of elimination of consequences.
HealthWarmingHighModerateMedium- and long-termImproving the comfort of climatic conditions.
Disturbed weather conditionsHighHighShort- and medium-termDeteriorating health of the population. Increasing costs of medical care.
Anomalous high
temperature		HighHighShort- and medium-termDeteriorating health of the population with possible fatalities. Vulnerability to infections and viruses. Increasing costs of medical care.
Heavy rainHighHighShort- and medium-termDeteriorating health of the population with possible fatalities. Vulnerability to infections and viruses. Increasing costs of medical care.
Thunderstorm, hailstorm, squallModerateModerateShort- and medium-termInjuries and deteriorating health. Increasing costs of medical care.
Dry wind, sawtooth stormModerateHighShort- and medium-termInjuries and deteriorating health. Increasing costs of medical care.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Karamushka, V.; Boychenko, S.; Kuchma, T.; Zabarna, O. Trends in the Environmental Conditions, Climate Change and Human Health in the Southern Region of Ukraine. Sustainability 2022, 14, 5664. https://doi.org/10.3390/su14095664

AMA Style

Karamushka V, Boychenko S, Kuchma T, Zabarna O. Trends in the Environmental Conditions, Climate Change and Human Health in the Southern Region of Ukraine. Sustainability. 2022; 14(9):5664. https://doi.org/10.3390/su14095664

Chicago/Turabian Style

Karamushka, Viktor, Svitlana Boychenko, Tetyana Kuchma, and Olena Zabarna. 2022. "Trends in the Environmental Conditions, Climate Change and Human Health in the Southern Region of Ukraine" Sustainability 14, no. 9: 5664. https://doi.org/10.3390/su14095664

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop