scholarly journals THE THERMO-HYGROMETRIC INDEX ON THE TERRITORY OF THE SOUTHERN DOBROGEA PLATEAU – A COMPONENT OF THE BALNEOCLIMATERIC TREATMENT

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Elena Grigore ◽  
Dana Maria Constantin (Oprea) ◽  
Elena Bogan ◽  
Marius-Alin Cristea ◽  
Florina Tatu
Keyword(s):  
Spatial Distribution ◽  
Human Health ◽  
Air Temperature ◽  
Meteorological Data ◽  
Kriging Interpolation ◽  
Air Humidity ◽  
Relative Air Humidity ◽  
Bioclimatic Index ◽  
Weather Stations ◽  
Analysis Models

The appearance of the analysis models, as a physical or mathematic form, has allowed simplifying the graphic representation of the processes specific to bioclimatology. Thus, the bioclimatic index becomes a useful and practical work tool in the scientific research, avoiding a multiple ranges of possible evaluations of the positive or negative potential that the climate of a region has on the human health. The proposed study analyzes the calculated values of the thermo-hygrometric index, for the period between the years 1981-2010. The database was improved with the meteorological data obtained from the five weather stations located in the Southern part of the Dobrogea Plateau. The mathematic formula launched by Kyle W.J. is based on the measured values of the air temperature (ºC) and relative air humidity (%). The obtained results allow us to highlight both the specific bioclimatic areas and the way in which the tourism in the area can be affected. The bioclimatic extension and intensity is rendered by a suggestive and synthetic graphic expression. The maps showing the spatial distribution of the index were obtained by combining the isotherm method with the kriging interpolation specific to the ArcMap.

Hydro-meteorological data preparation for ecosystem hydrological modelling in the riparian forest of Hidegvíz Valley experimental catchment

2021 ◽  
Author(s):  
Csenge Nevezi ◽  
Tamás Bazsó ◽  
Zoltán Gribovszki ◽  
Előd Szőke ◽  
Péter Kalicz
Keyword(s):  
Air Temperature ◽  
Meteorological Parameters ◽  
Extreme Event ◽  
Riparian Forest ◽  
Meteorological Data ◽  
Rain Gauge ◽  
Hydrological Modelling ◽  
Data Preparation ◽  
Air Humidity ◽  
Groundwater Levels

<p>In the Hidegvíz Valley experimental catchment in Hungary the meteorological data have been collected since the 1990s and used for various purposes including hydrological studies. Current research began in 2018–19, that aimed to reveal the connections between the hydrological and botanical characteristics in riparian forests and a wet meadow. Changes that occurred in both ecosystems in the groundwater levels, soil moisture and vegetation, showed that the local meteorological events influence these factors. Therefore we decided to analyse longer periods in which meteorological extremes<br>strongly influenced hydrological conditions and so status of ecosystems. Further measurements and their analysis were also required because more accuracy and detail were needed for future water balance modelling.</p><p>The measured data between 2017–2020 were chosen as a starting database. For the first analysis we selected three meteorological parameters, i. e. the precipitation, the air temperature, and the air humidity. These parameters were measured by automated instruments, except for the precipitation. We found that the automated tipping-bucket rain gauge needs validation by a manual measurement (Hellmann-type rain gauge), because the data that collected by the automated device will be invalid if the rain intensity is too high.</p><p>In 2017 and 2018, the annual precipitation was distributed evenly, but in the following two years we observed some extremes. In 2019 and<br>2020, the spring was especially dry, the lowest monthly sum was 1.2 mm in 2020 April. 2019 April was similar (19.5 mm), but after the drought<br>period intense rainfall events arrived in May, resulted a monthly total of 214.1 mm. Air temperature and air humidity has not been showed such extremes as the precipitation.</p><p>This study showed that detailed analysis of meteorological parameters is crucial for hydrological modelling data preparation because errors and extreme event can cause serious problems during modelling process and, also in case of evaluation of model results.</p><p>The research has been supported by the Ministry of Agriculture in Hungary.</p>

scholarly journals Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil

2018 ◽  
Vol 22 (2) ◽  
pp. 83-89 ◽  
Author(s):  
Gustavo H. da Silva ◽  
Santos H. B. Dias ◽  
Lucas B. Ferreira ◽  
Jannaylton É. O. Santos ◽  
Fernando F. da Cunha
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Standard Method ◽  
Reference Evapotranspiration ◽  
Meteorological Data ◽  
Air Humidity ◽  
Method Performance ◽  
Relative Air Humidity ◽  
Evapotranspiration Estimation ◽  
Missing Variables

ABSTRACT FAO Penman-Monteith (FO-PM) is considered the standard method for the estimation of reference evapotranspiration (ET0) but requires various meteorological data, which are often not available. The objective of this work was to evaluate the performance of the FAO-PM method with limited meteorological data and other methods as alternatives to estimate ET0 in Jaíba-MG. The study used daily meteorological data from 2007 to 2016 of the National Institute of Meteorology’s station. Daily ET0 values were randomized, and 70% of these were used to determine the calibration parameters of the ET0 for the equations of each method under study. The remaining data were used to test the calibration against the standard method. Performance evaluation was based on Willmott’s index of agreement, confidence coefficient and root-mean-square error. When one meteorological variable was missing, either solar radiation, relative air humidity or wind speed, or in the simultaneous absence of wind speed and relative air humidity, the FAO-PM method showed the best performances and, therefore, was recommended for Jaíba. The FAO-PM method with two missing variables, one of them being solar radiation, showed intermediate performance. Methods that used only air temperature data are not recommended for the region.

scholarly journals ПРОГНОЗ РАЗМНОЖЕНИЯ ВРЕДОНОСНЫХ ПОКОЛЕНИЙ ГРОЗДЕВОЙ ЛИСТОВЕРТКИ В УСЛОВИЯХ РАВНИННО-СТЕПНОГО КРЫМА

2012 ◽  
pp. 84-87
Author(s):  
С. Н. Лебедев
Keyword(s):  
Mathematical Models ◽  
Air Temperature ◽  
Lobesia Botrana ◽  
Air Humidity ◽  
Protective Measures ◽  
Relative Air Humidity

Наводяться дані про залежність розвитку шкід-ливих поколінь ґронової листовійки на винограднихнасадженнях рівнинно-степового Криму від абіо-тичних чинників: середньодобової температуриповітря, суми опадів, відносної вологості повітря,а також площі листової поверхні куща винограду.На основі цих даних розроблені математичні мо-делі прогнозу розвитку фітофага, що дадуть змо-гу оптимізувати кратність і своєчасність захис-них заходів у боротьбі з зазначеним шкідником наконкретному сорті винограду. Provides information on the intent of the development ofmalicious generations Lobesia botrana of the leaf rolleron vine plantations of plain-steppe Crimea from abioticfactors: the average daily air temperature, amount of precipitation,relative air humidity, as well as the area of leafsurface bush of grapes. On the basis of these datadeveloped mathematical models of forecasting of thedevelopment of the phytophage, that allows to optimizethe frequency and timeliness of protective measures inthe fight against this pest on a particular cultivar ofgrapes.

scholarly journals CrowdQC+—A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications

2021 ◽  
Vol 9 ◽  
Author(s):  
Daniel Fenner ◽  
Benjamin Bechtel ◽  
Matthias Demuzere ◽  
Jonas Kittner ◽  
Fred Meier
Keyword(s):  
Quality Control ◽  
Air Temperature ◽  
World Wide ◽  
Meteorological Data ◽  
Urban Climate ◽  
Specific Humidity ◽  
Data Sets ◽  
User Friendliness ◽  
Weather Stations ◽  
Further Development

In recent years, the collection and utilisation of crowdsourced data has gained attention in atmospheric sciences and citizen weather stations (CWS), i.e., privately-owned weather stations whose owners share their data publicly via the internet, have become increasingly popular. This is particularly the case for cities, where traditional measurement networks are sparse. Rigorous quality control (QC) of CWS data is essential prior to any application. In this study, we present the QC package “CrowdQC+,” which identifies and removes faulty air-temperature (ta) data from crowdsourced CWS data sets, i.e., data from several tens to thousands of CWS. The package is a further development of the existing package “CrowdQC.” While QC levels and functionalities of the predecessor are kept, CrowdQC+ extends it to increase QC performance, enhance applicability, and increase user-friendliness. Firstly, two new QC levels are introduced. The first implements a spatial QC that mainly addresses radiation errors, the second a temporal correction of the data regarding sensor-response time. Secondly, new functionalities aim at making the package more flexible to apply to data sets of different lengths and sizes, enabling also near-real time application. Thirdly, additional helper functions increase user-friendliness of the package. As its predecessor, CrowdQC+ does not require reference meteorological data. The performance of the new package is tested with two 1-year data sets of CWS data from hundreds of “Netatmo” CWS in the cities of Amsterdam, Netherlands, and Toulouse, France. Quality-controlled data are compared with data from networks of professionally-operated weather stations (PRWS). Results show that the new package effectively removes faulty data from both data sets, leading to lower deviations between CWS and PRWS compared to its predecessor. It is further shown that CrowdQC+ leads to robust results for CWS networks of different sizes/densities. Further development of the package could include testing the suitability of CrowdQC+ for other variables than ta, such as air pressure or specific humidity, testing it on data sets from other background climates such as tropical or desert cities, and to incorporate added filter functionalities for further improvement. Overall, CrowdQC+ could lead the way to utilise CWS data in world-wide urban climate applications.

scholarly journals Bioclimatic conditions and thermal seasons of the year in Szczecin

2021 ◽  
Vol 94 (2) ◽  
pp. 283-299
Author(s):  
Agnieszka Mąkosza
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Meteorological Data ◽  
Thermal Conditions ◽  
Thermal Spring ◽  
Early Spring ◽  
Climate Index ◽  
Relative Air Humidity ◽  
Thermal Climate ◽  
Bioclimatic Conditions

Climate change is an empirical fact evidenced by subsequent IPCC reports. The observed climate change is also manifested in the altered date of occurrence and duration of the seasons in a year. Variability of thermal conditions due to climate warming will have its toll on the bioclimatic conditions. The assessment of bioclimatic conditions was conducted with the use of Universal Thermal Climate Index (UTCI). The present elaboration is based on hourly values of the following meteorological elements: air temperature, relative air humidity, wind speed and cloud cover. The meteorological data were obtained from the Institute of Meteorology and Water Management – National Research Institute (IMGW-PIB) in Szczecin and cover the period 2000-2019. Variability of bioclimatic conditions is considered per periods corresponding to thermal seasons of the year as identified by the Gumiński (1948) method on the basis of monthly air temperature values. The analysed UTCI values with respect to thermal seasons indicate that mean UTCI values in the period 2000-2019 representative for thermal summer amount to 22.6°C, thermal spring 9,9°C, thermal autumn 8.4°C, thermal winter -10.4°C, early spring -4.6°C, and early winter -7.9°C. For the periods with identified lack of thermal winter, mean UTCI value was -6.6°C. The aim of the present paper is an attempt to assess the variability of biothermal conditions as calculated using the UTCI index against the thermal seasons of the year in Szczecin.

scholarly journals Scenarii Bioclimatiques A L’horizon 2050 Dans Le Departement De L’oueme Au Benin (Afrique De L’ouest)

2018 ◽  
Vol 14 (23) ◽  
pp. 212
Author(s):  
Mehinto-Dovonou Flore ◽  
Boko Nouvêwa Patrice Maximilien ◽  
Houssou Christophe S.
Keyword(s):  
Relative Humidity ◽  
Human Health ◽  
Meteorological Data ◽  
Descriptive Statistics ◽  
Harsh Environments ◽  
Bioclimatic Index ◽  
The Future ◽  
The Face ◽  
Index Calculation ◽  
A1b Scenario

This study aims to determine the future bioclimatic atmospheres by 2050 according to the scenarios A1B and B1, in order to determine if the human health of the populations in the department Ouémé in Benin would be subjected to more or less harsh environments. To do this, this study was conducted using descriptive statistics methods, and bioclimatic index calculation (UTCI). The data used are the meteorological data (temperature, relative humidity, insolation and wind) on a monthly scale over the period 1971-2014 and the data from 2020 to 2025 from the ReMO database. The results of this study make it possible to remember that the A1B scenario presents a distinct singularity, because it describes more bioclimatic atmospheres than the B1 scenario. Whatever the variations, the December- March period will be dominated by a hot atmosphere, while April-October by a more comfortable atmosphere. Differences between bioclimatic atmospheres by 2050 and the current one will reach +9.2 in February for the A1B scenario and +8.4 for the B1 scenario. This variation of future bioclimatic atmospheres simulated by means of the REMO data and UTCI will not be without effects on the health of children from 0 to 5 years old in the Department of Ouémé and therefore in the face of this future configuration. adaptations are proposed to the different actors in the study area.

scholarly journals Spatial variability of enthalpy and illuminance in free-range broiler sheds

2021 ◽  
Vol 25 (5) ◽  
pp. 340-344
Author(s):  
Amélia C. Faustino ◽  
Silvia H. N. Turco ◽  
René G. C. Silva Junior ◽  
Isadora B. Miranda ◽  
Italo E. Anjos ◽  
...  
Keyword(s):  
Experimental Design ◽  
Spatial Variability ◽  
Air Temperature ◽  
Spatial Dependence ◽  
Thermal Environment ◽  
The Other ◽  
Air Humidity ◽  
Free Range ◽  
Relative Air Humidity ◽  
Clay Tile

ABSTRACT Free-range broiler producers are concerned with the thermal environment and lighting of their facilities and seek to improve these factors for the increased welfare of their broilers. The objective of this study was to evaluate the spatialization of illuminance and enthalpy in two free-range broiler sheds, one of masonry with a clay tile roof and the other built of wood with a straw roof. The data on air temperature, relative air humidity, and illuminance were recorded between September and October 2018 for five non-consecutive weeks in two periods during the day: morning (9 hours) and afternoon (15 hours). The data were collected at 42 points per shed, spaced 0.40 × 0.75 m. The experimental design was completely randomized in a 2 × 2 factorial scheme, considering two periods and two sheds. Spatial dependence was evaluated using geostatistics and interpolation maps by kriging. The facilities presented strong or moderate spatial dependence for all observed variables and periods. The small edges and lack of management of curtains resulted in the masonry shed having higher illuminance values during both periods. Although it did not present ideal values for a comfortable environment, the wood shed was more thermally efficient.

scholarly journals Influence of Temperature‑Humidity Relations During Years on Milk Production and Quality

2017 ◽  
Vol 65 (1) ◽  
pp. 211-218 ◽  
Author(s):  
Renáta Toušová ◽  
Jaromír Ducháček ◽  
Luděk Stádník ◽  
Martin Ptáček ◽  
Sylvana Pokorná
Keyword(s):  
Protein Content ◽  
Milk Production ◽  
Air Temperature ◽  
Somatic Cells ◽  
Climatic Conditions ◽  
Holstein Cows ◽  
Air Humidity ◽  
Relative Air Humidity ◽  
Daily Milk Production ◽  
Daily Milk

The aim of this study was to evaluate influence of climatic conditions represented by daily air temperature and relative air humidity on indicators of Holstein cows’ milk quality and production. The first dataset represented individual milk production in day of milk performance recording (milk kg, fat %, protein %, and somatic cells count thous.*ml−1). The second dataset represented total daily milk characteristics of herd (milk kg, fat %, protein % and somatic cells count thous.*ml−1). A total of 654 Holstein cows were observed and evaluated. Both datasets were evaluated in relation to selected external influences (year, month, average daily air temperature, and average daily relatively air humidity). Statistical analysis was performed using SAS 9.3, and UNIVARIATE, REG and GLM procedure. Three groups of daily air temeperature (< 4.4 °C; 4.4 – 13.2 °C; > 13.2 °C), and daily relative air humidity (< 65.3 %; 65.3 – 80.4 %; > 80.4 %) were conducted for evaluation. Significant (P < 0.05) linear regressions were computed among daily air temperature and all milk production indicators, except of somatic cells count attribute. The highest individual daily milk production (35.94 kg, P < 0.01), and protein content (3.41 %, P < 0.01) were achieved with the highest average daily air temperature. Opposite results were observed for milk yield of herd as well as protein content. Average daily relative air humidity had lower influence on individual and bulk milk samples. The better results were achieved for both datasets (individual and bulk samples) in groups (65.3 – 80.4 %; > 80.4 %) of average daily relative air humidity. Obtained results point out importance of outdoor climatic parameters monitoring and preventive measures of climatic conditions in the stable.

scholarly journals NEAPŠILTINTOS KARVIDES OPTIMALUS TEMPERATŪRINIS‐DREGMES REŽIMAS

2006 ◽  
Vol 14 (2) ◽  
pp. 89-94 ◽  
Author(s):  
Bronius Kavolėlis ◽  
Rolandas Bleizgys
Keyword(s):  
Experimental Investigation ◽  
Water Vapour ◽  
Air Temperature ◽  
Ventilation System ◽  
Internal Surface ◽  
Cold Period ◽  
Air Humidity ◽  
Relative Air Humidity

The objective of the work is to substantiate the optimum values of temperature‐humidity regime in cowsheds which are required in designing and exploiting a ventilation system. An equation, which connects relative air humidity of a room with difference between inside and outside air temperature, was developed. Another equation, which shows the greatest allowed difference of temperatures under which water vapour does not condensate on the internal surface of an external partition, was composed as well. By analytical and experimental investigation, it is substantiated that possible minimum relative air humidity in a cowshed is by about 5 % lower than relative outside air humidity. Optimal difference between inside and outside air temperature in the cold period of the year is about 4 °C.

Environmental Assessment of the Impact of Meteorological Parameters on Man-Made Pollution by Carcinogenicly Dangerous Chemicals in the Voronezh Air Basin

2021 ◽  
Vol 25 (2) ◽  
pp. 60-65
Author(s):  
S.A. Kurolap ◽  
V.S. Petrosyan ◽  
O.V. Klepikov ◽  
V.V. Kulnev ◽  
D.Yu. Martynov
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Meteorological Parameters ◽  
Carcinogenic Risk ◽  
Meteorological Conditions ◽  
Air Humidity ◽  
Maximum Permissible Level ◽  
Relative Air Humidity ◽  
The Impact ◽  
The City

Based on the analysis of official statistics from the Voronezh Hydrometeorological Service, the patterns of the dynamics of pollutants (formaldehyde and soot) are investigated depending on the combination of various meteorological parameters — air temperature, wind speed, relative air humidity. A positive relationship has been established between the increase in atmospheric pollution with formaldehyde and air temperature. With increasing wind speed and relative humidity, the concentration of formaldehyde and soot in the atmosphere of the city, as a rule, decrease. The maximum permissible level of carcinogenic risk to public health has been established, causing concern. The obtained patterns can be used to predict the level of technogenic pollution of the city’s atmosphere, depending on meteorological conditions.

Sign in / Sign up

Export Citation Format

Share Document