Biometeorological Indices Research Articles

Zróżnicowanie warunków bioklimatycznych między centrum Lublina i obszarem podmiejskim w półroczu letnim

The aim of this study is to assess the differences in the occurrence of harsh bioclimatic conditions between the center of Lublin and non-urban areas in the warm half of the year (April-September) and to determine the rate of changes in these conditions in both analysed meteorological stations in the years 1973–2022. To assess the bioclimatic conditions, the biometeorological index Humidex was used. In the first part of the study period, the number of days with unfavourable bioclimatic conditions prevailed in the city center, while in the last two decades the differences have decreased, mainly as a result of the development of concentrated buildings in the suburban area. In both measurement points, there was a significant increase in the number of days with strong thermal and hygric loads on the human body. The study also presents the reasons for the occurrence of selected cases with significant differences in the index values in the Lublin region, as well as the synoptic conditions on the day with the highest recorded Humidex value during the study period.

Comparative analysis of the spatiotemporal patterns and trends of three types of summer heatwaves in China (1981–2020) using a biometeorological index

AbstractUnder global warming, heatwaves (HWs) are exerting increasing impacts on human life. In order to explore the thermal sensation of HWs under the combined influence of air temperature, humidity, radiation and wind speed, this study utilized the hourly Universal Thermal Climate Index (UTCI) data from the ECMWF Reanalysis v5 (ERA5) to define daytime, night‐time and compound HWs, and then comparatively analysed their occurrences in China during 1981–2020. Results revealed that daytime HWs affect the majority of regions in China with the exception of the Tibetan Plateau, while both night‐time and compound HWs mainly strike the Yangtze River Basin and the Guangdong–Guangxi region in southeastern China. Additionally, it is noteworthy that a substantial portion of regions experiencing night‐time HWs also encounter compound HWs. The frequency and intensity of all three types of HWs show increasing trends generally in regions where HWs occur. The spatial coverage of HWs grows at rates of 8.05%/10a, 2.11%/10a and 1.62%/10a for the daytime, night‐time and compound types, respectively. For each summer month, the spatial coverage of daytime HWs notably surpasses that of night‐time and compound HWs. Further classifying HWs with intensity, it is found that the spatial coverage of both moderate and severe HW events exhibits discernible rising trends across all three types of HWs. Furthermore, regions with higher HW frequencies are more likely to experience severe HWs as well as record‐breaking ones. Additionally, the spatial coverage of daytime, night‐time and compound record‐breaking HWs is expanding.

Overheated children's playgrounds in Central European cities: The effects of surfaces and shading on thermal exposure during hot summer days

Thermal exposure in children's playgrounds is a specific issue in relation to outdoor thermal comfort. In moderate climate regions, playgrounds are prone to overheating on hot summer days. When aiming for a safe design for playgrounds, different thermal conditions with various active surfaces and shading solutions, both natural and artificial, should be considered. Twelve case studies were performed in four Czech cities to quantify the differences in thermal exposure between individual types of active surface and shading, using mean radiant temperature and the biometeorological indices UTCI and PET (plus its experimental child-specific adjustments) as an expression of the thermal environment on hot summer days. The highest thermal exposure appeared above gravel, followed by rubber. Nevertheless, apart from a slightly lower thermal exposure above maintained lawn, substantial positive microclimatic effect of natural surfaces, such as bark mulch, sand, or a small water pool, was not confirmed. In terms of shading, trees provide more pronounced cooling effect than shade sails, but even the latter are effective in substantially reducing heat stress. Analyses of experimental adjustment of PET further indicate the importance of considering the specifics of a child's organism and behavioural adaptation measures when addressing thermal comfort and heat stress in playgrounds.

The thermal perceptions of people in relation to meteorological observations. Case study for the urban agglomeration in Suceava - NE Romania

Abstract: Background: This study by design, approach, duration and number of respondents is the first of its kind for Suceava and Romania. The first objective of the study was to assess the average level of thermal perceptions of the population in the researched area. Methods: The respondents appreciated and wrote the level of comfort/discomfort felt daily, the interdiurnal, interlunar and intertemporal regime of thermal perceptions by reference to the meteorological elements and bio-meteorological indices was also assessed. The biometeorological survey test was conducted from January 1, 2019 to February 28, 2021, and 9321 valid responses were received (on average 11.8 answers/day-1). Results: The overall average of the answers (of -0.55) shows that the respondents perceived the atmosphere of the urban agglomeration as cool, the winters were cold and moderately cold (the answers average = -1.43), whereas the summers were more thermally comfortable than warm (the average of the answers = 0.73). The Pearson correlation coefficients between the averages of the daily answers and the average or extreme values of temperature, respectively of the biome-teorological indices, ranged between 0.65 and 0.88. Conclusions: The PCA analysis reconfirmed high degrees of correlation between the average responses, the examined meteorological and bio-meteorological factors.

Analysis of thermal discomfort associated with synoptic conditions in the city of Pelotas, southernmost region of Brazil.

Here, we evaluated the influence of outdoor environmental conditions (synoptic weather conditions) on human thermal discomfort in the five macro-regions of Pelotas city, located in the southernmost region of Brazil. To do this, meteorological sensors (HOBO MX2301A) were installed outside the residences to measure the air temperature, dew point temperature, and relative humidity between 18 January and 20 August 2019. Two well-established simplified biometeorological indices were examined seasonally: (i) humidex for the summer months and (ii) effective temperature as a function of wind for the autumn and winter months. Our findings showed seasonal differences related to human thermal discomfort and outdoor environmental conditions. The thermal discomfort was highest in the afternoons during the summer months and at night during the winter months. The seasonal variation in human thermal discomfort was highly associated with the meteorological conditions. In summer, the presence of the South Atlantic Subtropical Anticyclone (SASA) contributed to heat stress. The SASA combined with the continent's low humidity contributed to the perceived sensation of thermal discomfort. In the winter, thermal discomfort was associated with the decrease in air humidity caused by high atmospheric pressure systems, which led to a decrease in both air temperature and air moisture content. Our findings suggest that a better understanding of the complex interplay between outdoor environmental factors and human thermal comfort is needed in order to mitigate the negative effects of thermal discomfort.

Analysis of long- and short-term biometeorological conditions in the Republic of Serbia.

Long- and short-term biometeorological conditions in the Republic of Serbia were analyzed using official meteorological data from numerous weather stations located across the country. Selected biometeorological indices HUMIDEX, Physiologically Equivalent Temperature (PET), and Universal Thermal Climate Index (UTCI) are calculated based on air temperature, relative humidity, wind speed, and cloudiness data from the meteorological stations on annual and summer level as well as during selected heat wave periods during 2000-2020. Application of different biometeorological indices provides similar but somewhat different results. For example, average annual HUMIDEX and UTCI values indicate no thermal stress and no discomfort at all stations, while PET indicates the occurrence of slight to moderate cold stress at all stations. Average summer PET and UTCI indicate the occurrence of slight to moderate heat stress throughout the country, while HUMIDEX indicates no discomfort. Trends of biometeorological indices on annual and summer level show a general increase throughout the country. Furthermore, heat wave analysis indicated that the most populated cities of Serbia are under dangerous and extreme heat stress during these extreme temperature events, which can influence human health and well-being. The obtained biometeorological information can be used for the preparation of climate adaptation strategies that consider the human biometeorological conditions, with a special focus on developing climate-sensitive and comfortable cities.

Field assessments of mean radiant temperature estimation methods at beach areas: A case study of Hailing Island, China

Beach areas are characterized by unique underlying surfaces, contributing to a thermal environment with thermal radiation that differs from urban areas. However, existing studies have not considered the estimation bias of the black-globe thermometer method in the thermal evaluations of beach areas. Thus, for thermally characterizing beach areas, this paper aimed to appraise the accuracy of estimation results of mean radiant temperatures (Tmrt) by the black-globe thermometer method and upper-and-lower-hemisphere method based on the results of the six-directional method; to verify correction formulas for the thermometric method; and to compare coastal radiation and biometeorological indices across anthropometric heights and locations. Numerous findings were noteworthy. Firstly, the beach area exhibited a higher Tmrt than other urban underlying surfaces, while sea breezes lowered coastal air temperatures, thus mitigating thermal stress. Secondly, relative to the benchmark Tmrt values, the thermometric method exhibited over-estimations while the hemispheric method exhibited the least variability. Thirdly, the two Tg-correction-based thermometric methods registered substantial Tmrt deviations, whereas the direct correction equation registered only modest deviations. Lastly, the thermal environment differed significantly across three heights, of which the height of 0.1 m exhibited greater thermal stress. Conversely, the thermal environment differed little across the three beach locations. This study offers analytical insights into the thermal characterization of beach environments and accuracy of different Tmrt-estimation methods, providing robust evidence-based methodological guidance to future studies on coastal thermal comfort.

Bioclimatic zoning as a prerequisite for architectural and structural design, urban and area-wide planning

Introduction. Factors of nature and climate were analyzed using bioclimatic criteria of environmental assessments made in within the framework of urban planning during warm seasons. Territories of republics, located in Central Asia and southern Kazakhstan, were considered as southern specimen areas; they have both plain and complex mountainous terrains, and their climatic and bioclimatic conditions make them similar to equatorial countries. The author chose a method for assessing bioclimatic indices; they take into account the response of the thermal status of a person to the environment, which is a rele­vant task of architectural and structural design and area-wide planning in southern countries with hot climates.
 Materials and methods. This research project is based on a comprehensive methodology for studying, analyzing and summarizing meteorological factors, provided by local meteorological stations, and reference data from the leading research institutes of hydrometeorology. These data are further processed by the software package to identify specific small and large microclimatic and bioclimatic differences between large areas. The methodology also determines the degree of comfort of a thermal state of a person in urban bioclimatology.
 Results. A new area of research was identified to study the response of the thermal state of a person to the environment: the bio-climatological assessment of environments. Bioclimatic zoning of republics in Central Asia and southern Kazakhstan was performed to classify the bioclimatic conditions in these environments according to their livability, taking into account values of meteorological indices during warm seasons. Bioclimatic differences between territories, cities, and excerpts from area development documents were identified for the purpose of bioclimatic zoning and division into districts. Maps of districts were designed to make bioclimatic forecasts of territories for the purpose of architectural and structural design, as well as urban planning.
 Conclusions. The research is relevant for territories and cities with hot climates. Methodological fundamentals of bioclimatic zoning in Central Asia and southern Kazakhstan, coupled with classified bio-meteorological indices, will serve as a prere­quisite for purposeful and rational use of territories in the region; they will allow evaluating its recreational potential and planning the construction of residential complexes, public and industrial buildings and structures that ensure maximum comfort and convenience at minimum costs. The classification of bioclimates is presented; it is based on thermal characteristics of climates as well as responses from the human thermoregulatory system during excessively hot summer periods. These responses are needed to characterize the thermal state of a person during periods of greatest heat stresses and radiation loads.

Investigating the Relationship between Climate and Hospital Admissions for Respiratory Diseases before and during the COVID-19 Pandemic in Brazil

This study aimed to analyze meteorological variables versus hospital admissions for respiratory diseases for the age groups of children under five and the elderly (over 65 years of age) in different climate regions of Brazil, for the years 2018 and 2020, i.e., before and after the outbreak of the COVID-19 pandemic. The aim of the study was, on one hand, to evaluate the influence of weather variables on respiratory disease in humans, and on the other hand, take into account two years with differing dynamics due to a worldwide pandemic that significantly changed people’s lifestyles. The human biometeorological index (Universal Thermal Climate Index, UTCI) was used as representative of the integral association of meteorological variables. UTCI data were obtained from the ERA5-HEAT reanalysis database, which provides hourly grid data with a spatial resolution of 0.25° × 0.25°. The Brazilian cities Manaus, Brasilia and Porto Alegre, which represent different climatic contexts in the country, were used in the analysis. The method compared temperature and climate reanalysis data to hospital admission data for respiratory diseases, obtained from the Brazilian Unified Health System database (DATASUS), according to the International Classification of Diseases, Tenth Edition (ICD-10). Correlation analysis was performed between variables (hospital admissions versus climate-related data) in order to identify associations between them, also accounting for different time-lag effects. We analyzed seasonal influences on the obtained correlations, correlation strength and direct or inverse relationships. Results showed that the pandemic interfered in the association between morbidity due to respiratory illnesses and climate-related variables.

The need for location-specific biometeorological indexes in Taiwan.

ObjectiveAs most available biometeorological indexes were developed decades ago in western countries, the benefit of using these indexes to study the effect of weather on human health in modern eastern countries is questionable. This study aimed to reconfirm the effectiveness of applying these biometeorological indexes when analyzing demand for daily emergency ambulance services (EAS) in Taipei.MethodsMore than 370,000 EAS usage records were analyzed in this study. The records were first allotted into different time-series data by age, gender, triage level, and case nature (trauma/non-trauma) in order to represent different kinds of daily EAS demand. They were then regressed on biometeorological indexes [Apparent Temperature (AT) and Net Effective Temperature (NET)]; the indexes' additional descriptive power to describe the daily EAS demand over traditional weather factors was then assessed.ResultsNo significant difference was observed in the descriptive powers in terms of effect on daily EAS demand of the biometeorological indexes and traditional weather factors. The largest improvement on the regression models' adjusted-R2 using NET and AT was only 0.008.ConclusionIt may not be a good idea to make direct use of the biometeorological indexes developed in western countries decades ago. Taiwan should have a tailor-made biometeorological index for a better representation of its unique situation.

The influence of brine graduation towers on biometeorological conditions, on the example of Ciechocinek spa town (Poland)

The paper provides an analysis of the influence of brine graduation towers on biometeorological conditions, on the basis of the example of Ciechocinek – a spa town in Poland. Using the records of air temperature and relative air humidity in the years 2018-2020 at two locations near Graduation Tower 1 and at the reference site near Spa Hospital No. 1 it was demonstrated that the graduation towers caused a mean drop in air temperature of 0.5–0.7°C with maximum diff erences 7.5°C. The average humidity due to brine evaporation was 3.6–4.6% higher, but maximum differences exceeded 30%. Based on mobile measurements the effects of the graduation tower were found to be limited to its vicinity, where air temperature was lower and humidity higher. The distribution of air temperature and humidity changed depending on wind direction. Cooler and more humid air was carried downwind of the graduation tower. The calculated biometeorological indices showed that neutral, comfortable or refreshing conditions prevailed at the graduation tower and the sensation of heat or thermal stress leading to body overheating was less frequent.

Are the levels of uric acid associated with biometeorological conditions?

Hyperuricemia is an independent risk factor for renal and cardiovascular diseases and is closely associated with gout episodes. It is caused, inter alia, by nutritional habits and genetic factors, and also displays seasonal variability conditioned by meteorological factors. The impact of meteorological factors, including both cold and heat stress, on the human physiology is presented based on the Universal Thermal Climate Index (UTCI) – a biometeorological index derived from an analysis of human thermal balance. The aim of our study was to establish whether seasonal variations significantly affect routinely measured urine acid (UA) levels and could eventually support the clinical decision making process, as well as assessing whether UTCI values are correlated with UA levels in blood serum. This work presents a retrospective epidemiological study of data collected in Olsztyn (Poland). Study material comprised 54,536 results of ambulatory tests measuring UA levels, performed during the period 2016–2019. The analysis concerned correlations between UA and the ages of female and male subjects as well as existing biometeorological conditions as represented by UTCI values in an annual cycle. UA levels in females were found to be lower (4.94 ± 1.37 SD) as compared to those of males (6.13 ± 1.43 SD) and demonstrated a strong positive correlation with age. UA values differed significantly (p < 0.05) on days characterized by cold stress and heat stress, for the oldest age group. UA levels were found to differ depending on the season, but these relationships were not statistically significant, except for significantly higher UA levels in females in autumn (p < 0.001). However, there was an evident difference in population UA levels under cold stress conditions (lower) and heat stress conditions (higher) in the elderly. The UTCI is an adequate predictor of population variations in UA levels since it takes into account the variability of local meteorological conditions.

ОСОБЕННОСТИ БИОКЛИМАТА Г. УЛЬЯНОВСКА В НАЧАЛЕ XXI ВЕКА

The paper studies the peculiarities of bioclimate of the city of Ulyanovsk in 2000–2020 using the most popular biometeorological indices. In the past, similar studies for Ulyanovsk were conducted only until 2004 and only based on average monthly data. Our research aims to show the trend in the change of the environmental comfort in the early 21st century, in the context of continuing global warming, within a small area, over different time intervals – from a decade to a year. Using daily weather observation data of the AMSG Ulyanovsk-I station (Baratayevka) we performed calculations of the effective temperature, equivalent-effective temperature, Bodman weather severity index, pathogenicity index, and tourist climate index. An analysis of the values obtained identified the most comfortable conditions during the year – those favorable for the health of the population, for rest and recreation activities. To receive the results, we additionally divided months into ten-day periods, which allowed us to see that, in general, the comfort of weather conditions in Ulyanovsk has been increasing since the beginning of the century, with a positive trend formed mainly due to the winter period. According to the Bodman severity index calculations, softening of weather conditions during the winter period occurs at a rate of 0.2–0.5 points/10 years. The greatest softening of winters takes place in the second and third decades of January. Calculation of the region’s tourist attractiveness showed that from the third decade of April to the third decade of September inclusive, there are comfortable weather conditions for tourist activities, with the best conditions falling on the period from the third decade of June to the second decade of August inclusive.

The role of blue and green infrastructure in thermal sensation in public urban areas: A case study of summer days in four Czech cities

Thermal comfort in public spaces, as an important factor in the quality of life, has been strongly affected by manifestations of climate change. City authorities are under pressure to adapt their approaches to the urban environment. This study investigates thermal sensation in public spaces in four Czech cities. Biometeorological measurements were taken and biometeorological indices (UTCI, PET, HUMIDEX) established, then contrasted with questionnaire surveys (thermal sensation vote – TSV). Regression models were subsequently constructed to explore the influences of elements of blue and green infrastructure beyond their microclimatic functions. The results suggest a highly complex relationship between biometeorological indices and TSV in urban environments, significantly influenced by specificity of place and time. Open grassy areas exhibit a lower probability of higher TSV related to heat stress. Despite measured microclimatic effects that might indicate the opposite, the probability of TSV-related heat stress is higher under trees and near sprayed water-mist. The findings herein thus indicate that simple predicted mean vote models are of little or no use in urban planning, and that sensitive and sustainable planning of heat mitigation measures should reflect the behavioural patterns of citizens alongside the microclimatic effects in actual place.

Citizen weather stations data for monitoring applications and urban climate research: an example of Moscow megacity

This study considers experience in use of crowdsourced meteorological observations from the world’s biggest network of citizen weather stations (CWSs), Netatmo, for urban climate research and applied monitoring services on the example of Moscow megacity. Crowdsourcing paradigm is an emerging alternative to the development of expensive urban meteorological networks. We have experimentally evaluated the uncertainties of the Netatmo temperature observations and regard them as being acceptable when the stations are shadowed from the sun. In order to filter out the misrepresentative observations, a quality-control algorithm has been developed. Within more than 1500 CWSs in the Moscow region, only about 25% meet this quality control, which is still one order of magnitude higher than the number of official Roshydromet weather stations in the study area. Such amount of data opens new opportunities for spatially-resolving urban climate studies and for applied services. As an example of the latter, we present a prototype of a web-mapping application for a near-real-time temperature monitoring system in Moscow. The application’s backend includes automatic services for downloading of observations from Netatmo and official Roshydromet networks, as well as for database maintaining. The processed data are visualized interactively in a web browser. The application is available on the Internet at http://carto.geogr.msu.ru/mosclim/. It will be further developed to include a real-time thermal comfort assessment based on the contemporary PET and UTCI biometeorological indices, a visualization of the interpolated fields, and other improvements.

Review of Biometeorology of Heatwaves and Warm Extremes in Europe

Numerous extreme heatwaves producing large impacts on human health, agriculture, water resources, energy demand, regional economies, and forest ecosystems occurred during the first twenty years of the 21st century. The present study strives to provide a systematic review of recent studies of warm biometeorological extremes in Europe. The main aim of this paper is to provide a methodical summary of the observed changes in warm extremes, duration, and variability in different parts of Europe. During the last decade, much attention has been paid to the negative impacts of heat and humidity on human health. Therefore, the human biometeorology is required to appraise the human thermal environment in a way that human thermoregulation is taken into account. In many European countries and regions, future heat exposure will indeed exceed critical levels, and a steep increase in biometeorological heatwaves and warm extremes are expected. The indices that take into account human energy balance along with weather conditions should be used to examine the impacts of extreme heatwaves on human health and should be used as a basis for the determination of acclimatization to high-heat-stress conditions. A detailed description of recent studies that have used biometeorological indices such as Physiological Equivalent Temperature (PET) and Universal Thermal Climate Index (UTCI) for the estimation of warm extremes and their influence on human health is provided. Additionally, a short overview of the existence of the heat-health warning systems (HHWS), their conceptualization, and implementation across the European continent is considered, as well as the possibilities for further investigations and implementation of effective measures and programs that could reduce the adverse health impacts.

Suicide and apparent temperature in the two capitals cities in the iberian peninsula.

Different authors have identified geographic variations in the rates of suicide. This study aims to discuss the limitations of the officially recorded suicide data and to evaluate the statistical relationship between a biometeorological index, Apparent Temperature (AT), and suicide in Madrid and Lisbon. We performed a time-series study. The association was analyzed using a quasi-Poisson regression model. To assess potential delayed and non-linear effects of AT on suicides, a lag non-linear model was fitted in a generalized additive model. There was an average rate of 3.30 suicides/100,000 inhabitants in Madrid and of 7.92 suicides/100,000 inhabitants in Lisbon, and a downward trend was found throughout the period. In Madrid, there is no statistically significant association between AT and suicide. However, in Lisbon, under higher AT, there was a higher risk of suicide. The highest accumulated statistically significant Relative Risk (RR) of suicide was detected at 7 days after the exposure, when at 38°C, the risk of suicide is 2.7 times that existing at the median AT, 20.62°. The average mortality rate recorded in Lisbon was 41.6% higher than that registered in Madrid. However, the limitations of suicide record databases in Spain and Portugal have to be taken into account when analyzing incidence and especially when comparing data from different countries. It is necessary to improve the filing systems of violent deaths in order to perform reliable epidemiological studies.

Modeling large-scale biometeorological indices to monitor agricultural-growing areas: applications in the fruit circuit region, São Paulo, Brazil.

This paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of São Paulo, Southeast Brazil. This region has experienced some cases of drought, while arising rainfall water excess in some periods, demanding large-scale water and energy balance studies to subsidize water resource policies. The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm was applied together with the radiation-use efficiency (RUE) model for biometeorological index assessments. The highest latent heat fluxes (λE), above 8.0MJm-2d-1, at the end of the year, coincide with the progressive increases on both rainfall and global solar radiation (RG) levels, and drop to below 5.0MJm-2d-1 in the middle of the year, during the driest conditions. The same tendencies along the year are verified for sensible heat fluxes (H), for which mean pixel values are above 3.5MJm-2d-1 at the end of the year. On the one hand, the highest values for water productivity (WP), which is considered the ratio of actual evapotranspiration (ET) to biomass production (BIO), above 4.0kgm-3, are verified in April, period under increasing BIO and low ET rates. On the other hand, the lowest WP values (below 2.0kgm-3) occur between August and October, when BIO is low, and ET is high. Although the area featuring good WP levels under high precipitation (P), with rainfalls generally above ET, supplementary irrigation may benefit agriculture in some periods of the year. The results of the large-scale modeling showed applicability of the models for monitoring water and vegetation dynamics over 16-day timescale and at a 250-m spatial resolution in areas experiencing climate and land-use changes by combining climate data and MODIS images. Application of these tools enables to indicate the best options for expanding the agriculture activities, being of great potential for rational natural resources management, in regions under environmental vulnerability conditions.

A web-based support system for biometeorological research.

Data are the fundamental building blocks to conduct scientific studies that seek to understand natural phenomena in space and time. The notion of data processing is ubiquitous and nearly operates in any project that requires gaining insight from the data. The increasing availability of information sources, data formats and download services offered to the users, makes it difficult to reuse or exploit the potential of those new resources in multiple scientific fields. In this paper, we present a spatial extract-transform-load (spatial-ETL) approach for downloading atmospheric datasets in order to produce new biometeorological indices and expose them publicly for reuse in research studies. The technologies and processes involved in our work are clearly defined in a context where the GDAL library and the Python programming language are key elements for the development and implementation of the geoprocessing tools. Since the National Oceanic and Atmospheric Administration (NOAA) is the source of information, the ETL process is executed each time this service publishes an updated atmospheric prediction model, thus obtaining different forecasts for spatial and temporal analyses. As a result, we present a web application intended for downloading these newly created datasets after processing, and visualising interactive web maps with the outcomes resulting from a number of geoprocessing tasks. We also elaborate on all functions and technologies used for the design of those processes, with emphasis on the optimisation of the resources as implemented in cloud services.

Comparison of Respiratory and Ischemic Heart Mortalities and their Relationship to the Thermal Environment

Chronic respiratory and ischemic heart diseases are globally important parts of total mortality. This study focuses on the occurrence of mortality due to these disease groups in Germany and possible effects of the thermal environment. A retrospective analysis on the mortality rates of chronic lower respiratory diseases (CLRD) and ischemic heart diseases (IHD) at the regional level in Germany for the period 2001–2015 was done in combination with meteorological observations from the network of the German Meteorological Service. In order to control the mortality data for long-term and seasonal trends, a 365-day Gaussian low-pass filter with a filter response function was applied. The thermal environment was analysed using 2 m air temperature (Ta) and the human biometeorological index Perceived Temperature (PT). The relationship of the Relative Risk (RR) of mortality to the thermal environment is displayed as an exposure–response curve, with threshold values at which RR increases significantly towards higher and lower temperature values. CLRD mortality increases above 17.6 °C, at approximately 4.4%/°C (CI: ± 0.3). The increase of IHD mortality above the threshold of 18.8 °C is less steep, at 3.5%/°C (CI: ± 0.2). During hot periods, CLRD mortality increases by 19.9%, which is twice as much as IHD mortality, with an increase of 9.8%. However, cold days and cold periods affect IHD slightly more than CLRD. The results highlight the concerns of CLRD patients during hot days as well as heat waves. This could lead to better precautions being taken for respiratory patients, which are already established for cardiac patients in Germany.