ALTERAÇÕES EM VARIÁVEIS AGROMETEOROLÓGICAS PELO USO DE ESTUFA PLÁSTICA

ALTERAÇÕES EM VARIÁVEIS AGROMETEOROLÓGICAS PELO USO DE ESTUFA PLÁSTICA Reginaldo Ferreira SantosMarcio Antonio Vilas BoasCentro de Ciências Exatas e Tecnológicas,Universidade Estadual do Oeste do Paraná, CP 711,CEP 858114-110, Cascavel – PR, Fone: (0xx45) 220-3155, E-mail: [email protected] Evaldo KlarDepartamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, CP 237, CEP 18603-970, Botucatu - SP, E-mail: [email protected] - Pesquisador Científico do CNPq 1 RESUMO O presente trabalho teve como objetivo verificar o efeito da cobertura plástica de polietileno de baixa densidade (PEBD) sobre a temperatura do ar, umidade relativa do ar, déficit de saturação e tensão de vapor d'água no ar. Pelos resultados encontrados neste trabalho as médias mensais de temperatura do ar no interior da estufa plástica foram superiores em 7,5%, a umidade relativa do ar em 7%, o déficit de saturação em 34% e a tensão atual de vapor d'água no ar em 4,7%, em relação aos valores determinados à campo. Observou-se maior efeito da cobertura plástica sobre as temperaturas máximas, as quais levaram as médias mensais a ficar entre 3,8 a 7,8 oC acima dos valores médios determinados no campo. Os valores médios mensais mínimos de temperatura e umidade relativa do ar entre a estufa e o campo apresentaram menor amplitude de variação que os valores máximos. UNITERMOS: estufa plástica, temperatura do ar, umidade relativa do ar. SANTOS, R.F., VILAS BOAS, M.A., KLAR, A.E. Agrometeorological parameter changes in a plastic GREENHOUSE 2 ABSTRACT The aim of this study was to verify the influence of the plastic greenhouse set up in a north-south main axis orientation on several meteorological parameters in relation to those from outside conditions. The results obtained from this study showed that the means of monthly air temperature were 7.5%; relative humidity, 7.0%; saturation deficit, 34%; and actual water vapour pressure, 4.75% higher inside the greenhouse than outside it. The maximum air temperature means were 3.8 to 7.8 0C higher inside the greenhouse than outside it. The minimum air temperature and relative humidity means showed lower range of variation in both environments compared to the one from the maximum values of the same parameters. KEYWORDS: air temperature, air relative humidity and vapor pressure

Download Full-text

Cladosporium spores in the air of Szczecin

Acta Agrobotanica ◽

10.5586/aa.2007.036 ◽

2012 ◽

Vol 60 (2) ◽

pp. 99-104 ◽

Cited By ~ 4

Author(s):

Agnieszka Grinn-Gofroń

Keyword(s):

Seasonal Variation ◽

Wind Speed ◽

Relative Humidity ◽

Air Temperature ◽

Meteorological Parameters ◽

Weather Conditions ◽

Spore Count ◽

Maximum Air Temperature

Moulds are common aeroallergens and Cladosporium is considered to be the most prevalent of them. The objective of the studies was to determine the seasonal variation in concentrations of Cladosporium spores due to meteorological parameters. The meteorological parameters analysed were maximum air temperature, relative humidity, amount of precipitation and wind speed. The greatest threat from Cladosporium allergens was posed from the middle of May (2004, 2006) and June (2005) till the middle of October (2005) and in the end of October (2004) till the middle of November (2006). Statistically significant correlations were found among the Cladosporium spore count in the air and maximum air temperature in all the analysed seasons, and amount of precipitation only in one season. The spore count of Cladosporium was determined by weather conditions, especially by air temperature.

Download Full-text

Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment

Sensors ◽

10.3390/s20071919 ◽

2020 ◽

Vol 20 (7) ◽

pp. 1919 ◽

Cited By ~ 2

Author(s):

Federico Carotenuto ◽

Lorenzo Brilli ◽

Beniamino Gioli ◽

Giovanni Gualtieri ◽

Carolina Vagnoli ◽

...

Keyword(s):

Particulate Matter ◽

Relative Humidity ◽

Air Temperature ◽

Meteorological Parameters ◽

Low Cost ◽

Absolute Error ◽

Atmospheric Composition ◽

The Arctic ◽

Svalbard Archipelago ◽

Arctic Environment

The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation points limiting the spatial and temporal coverage of the Arctic measurement. Given these constraints the possibility of deploying a rugged network of low-cost sensors remains an interesting and convenient option. The present work validates for the first time a low-cost sensor array (AIRQino) for monitoring basic meteorological parameters and atmospheric composition in the Arctic (air temperature, relative humidity, particulate matter, and CO2). AIRQino was deployed for one year in the Svalbard archipelago and its outputs compared with reference sensors. Results show good agreement with the reference meteorological parameters (air temperature (T) and relative humidity (RH)) with correlation coefficients above 0.8 and small absolute errors (≈1 °C for temperature and ≈6% for RH). Particulate matter (PM) low-cost sensors show a good linearity (r2 ≈ 0.8) and small absolute errors for both PM2.5 and PM10 (≈1 µg m−3 for PM2.5 and ≈3 µg m−3 for PM10), while overall accuracy is impacted both by the unknown composition of the local aerosol, and by high humidity conditions likely generating hygroscopic effects. CO2 exhibits a satisfying agreement with r2 around 0.70 and an absolute error of ≈23 mg m−3. Overall these results, coupled with an excellent data coverage and scarce need of maintenance make the AIRQino or similar devices integrations an interesting tool for future extended sensor networks also in the Arctic environment.

Download Full-text

CORRELATION COMMUNICATION BETWEEN METEOROLOGICAL PARAMETERS AT EXTREME VALUES OF MAXIMUM AIR TEMPERATURES

Hydrology, hydrochemistry and hydroecology ◽

10.17721/2306-5680.2020.1.11 ◽

2020 ◽

pp. 101-112

Author(s):

S.V. Savchuk ◽

V.E. Timofeev ◽

O.A. Shcheglov ◽

V.A. Artemenko ◽

I.L. Kozlenko

Keyword(s):

Air Temperature ◽

Meteorological Parameters ◽

Extreme Values ◽

Daily Temperature ◽

Sea Level Pressure ◽

Maximum Daily Temperature ◽

The North ◽

Air Temperatures ◽

Average Maximum ◽

Maximum Air Temperature

The object of the study is the maximum daily air temperature during the months of the year over 1991-2016 by the data of 186 meteorological stations of Ukraine. Extreme values of the maximum daily temperature equal to or exceeded their 95th (Tmax95p and above, ºС) percentile were taken as extreme. The article sets the dates (137 cases) of extreme values of maximum air temperature on more than 60 % of the territory. For these dates, 13 meteorological parameters were selected: average, minimum, and maximum air temperatures; average, minimum and maximum relative humidity; station and sea-level pressure; average, maximum (from 8 synoptic hours) wind speed; rainfall; height of snow cover. The purpose of this work is to determine the correlation coefficient (K), in particular, statistically significant (K≤-0.6, K≥0.6), on these dates between selected meteorological parameters at 186 meteorological stations of Ukraine for 1991-2013. The density of the cases of statistically significant dependence between the meteorological parameters in extremely warm days in separate seasons is determined. In extremely warm days, meteorological parameters and areas with statistically significant correlations at K≤-0.6 were detected: T and F (focally in southern and some western regions with significant density) − in winter; T and F (with the highest density ubiquitous or almost ubiquitous), P and V (in a large number of regions, usually west or right-bank, but with less frequency) − in the transition seasons, and in the autumn between − T and F (in the south with smaller density) and P and F (in some areas of the north, northwest, west, lower east). In all seasons, such a correlation between other meteorological parameters had a focal distribution, usually with a smaller density. In these days, a focal distribution with a small frequency of dependencies at K≥0.6 was found between the meteorological parameters detected (F and V in transition seasons, T and F in winter), except for similar ones. However, such dependence is observed between T and V in some regions in winter and autumn and in some areas of south, southeast, east with a smaller density. The study of the maximum daily temperature is relevant, because from the level of natural hydrometeorological phenomena it is accompanied by dangerous phenomena, negatively affecting the weather dependent industries.

Download Full-text

Effect of meteorological factors on influenza-like illness from 2012 to 2015 in Huludao, a northeastern city in China

PeerJ ◽

10.7717/peerj.6919 ◽

2019 ◽

Vol 7 ◽

pp. e6919 ◽

Cited By ~ 3

Author(s):

Ying-Long Bai ◽

De-Sheng Huang ◽

Jing Liu ◽

De-Qiang Li ◽

Peng Guan

Keyword(s):

Relative Humidity ◽

Vapor Pressure ◽

Air Temperature ◽

Meteorological Factors ◽

Meteorological Data ◽

Lag Time ◽

Temperature Minimum ◽

The Relationship ◽

Maximum Air Temperature ◽

Minimum Air Temperature

Background This study aims to describe the epidemiological patterns of influenza-like illness (ILI) in Huludao, China and seek scientific evidence on the link of ILI activity with weather factors. Methods Surveillance data of ILI cases between January 2012 and December 2015 was collected in Huludao Central Hospital, meteorological data was obtained from the China Meteorological Data Service Center. Generalized additive model (GAM) was used to seek the relationship between the number of ILI cases and the meteorological factors. Multiple Smoothing parameter estimation was made on the basis of Poisson distribution, where the number of weekly ILI cases was treated as response, and the smoothness of weather was treated as covariates. Lag time was determined by the smallest Akaike information criterion (AIC). Smoothing coefficients were estimated for the prediction of the number of ILI cases. Results A total of 29, 622 ILI cases were observed during the study period, with children ILI cases constituted 86.77%. The association between ILI activity and meteorological factors varied across different lag periods. The lag time for average air temperature, maximum air temperature, minimum air temperature, vapor pressure and relative humidity were 2, 2, 1, 1 and 0 weeks, respectively. Average air temperature, maximum air temperature, minimum air temperature, vapor pressure and relative humidity could explain 16.5%, 9.5%, 18.0%, 15.9% and 7.7% of the deviance, respectively. Among the temperature indexes, the minimum temperature played the most important role. The number of ILI cases peaked when minimum temperature was around −13 °C in winter and 18 °C in summer. The number of cases peaked when the relative humidity was equal to 43% and then began to decrease with the increase of relative humidity. When the humidity exceeded 76%, the number of ILI cases began to rise. Conclusions The present study first analyzed the relationship between meteorological factors and ILI cases with special consideration of the length of lag period in Huludao, China. Low air temperature and low relative humidity (cold and dry weather condition) played a considerable role in the epidemic pattern of ILI cases. The trend of ILI activity could be possibly predicted by the variation of meteorological factors.

Download Full-text

Analysis of Atmospheric Pollutants in Bucharest in Correlation with Meteorological Parameters

Revista de Chimie ◽

10.37358/rc.18.8.6463 ◽

2018 ◽

Vol 69 (8) ◽

pp. 2005-2011

Author(s):

Marin Rusanescu ◽

Carmen Otilia Rusanescu ◽

Gigel Paraschiv

Keyword(s):

Wind Speed ◽

Sulfur Dioxide ◽

Relative Humidity ◽

Air Temperature ◽

Wind Direction ◽

Meteorological Parameters ◽

Vertical Mixing ◽

Average Concentration ◽

Atmospheric Pollutants ◽

Traffic Pollutants

In this paper we analyze the correlation between meteorological parameters (wind speed and direction, relative humidity, air temperature) and atmospheric pollutants in Bucharest during the cold period 26.02.2018-02.03.2018, which was based on the monitoring of the concentrations of nitrogen oxides, NO2, O3 and SO2 sulfur dioxide within 24 h and the occurrence of exceedances above the prescribed limit. It was found based on the results obtained that the wind direction influences not only the concentrations of pollutants but also the correlation between the pollutants. Traffic pollutants were at the highest concentration when the wind speed was low. We have found that the highest average concentration for NO2, NOx, NO, O3 occurred at 90% indicative humidity for vertical mixing of strong pollutants. Sulfur dioxide did not record exceeding over the limit standard in the analyzed period.

Download Full-text

Statistical Comparative Study of the Trend and Variation of Meteorological Parameters in Abeokuta, South-West Nigeria

Journal of Geography Environment and Earth Science International ◽

10.9734/jgeesi/2019/v22i430155 ◽

2019 ◽

pp. 1-15

Author(s):

M. A. Sodunke ◽

M. O. Sulaimon ◽

R. S. Sunmonu ◽

A. Mabosanyinje ◽

Y. B. Lawal ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Comparative Study ◽

Air Temperature ◽

Coefficient Of Variation ◽

Vapour Pressure ◽

Meteorological Parameters ◽

Significance Level ◽

Significant Difference ◽

The Mean

This study focuses on the statistical comparative study of the trend and variation of meteorological parameters covering a 10 year period (2001-2010) in the capital and largest city of Ogun State, Abeokuta, southwest region of Nigeria. The analyzed meteorological parameters were: wind speed, vapour pressure, relative humidity, temperature, sunshine and rainfall covering 10 years. The calculated coefficient of variation (CV) for sunshine (22.78%), wind speed (21.55%), and rainfall (99.12%) is a proof of exceedance of variability of threshold of 10% while the CV calculated for air temperature (5.74%), relative humidity (4.52%) and vapour pressure (5.22%) show no significant variability. Significance test of meteorological parameters’ trend reveals a notable reduction in the values of vapour pressure, air temperature and relative humidity. It is, however, difficult to argue for a well-defined change in most of the meteorological parameters based on the monthly time series analyses performed in this work. Only wind speed shows a statistically significant increasing trend during the period of observation at 1% significance level. The trend revealed by rainfall and sunshine is statistically not significant. ANOVA test of significant difference among meteorological parameters show a p-value (Sig.) of 0.000 is an indication of the significant difference in the analyzed mean monthly coefficient of variation for the meteorological parameters under study. The Tukey’s multiple pair comparisons test, however, show that there is a significant difference between the mean monthly CV of rainfall–sunshine, rainfall-vapour pressure, rainfall-wind speed, rainfall-air temperature and rainfall-relative humidity. At the significance level of 5%, the calculated mean monthly CV of rainfall is significantly different from the mean monthly CV of other climatic parameters.

Download Full-text

Effects of Preharvest Precipitation, Air Temperature, and Humidity on the Occurrence of Soft Scald in ‘Honeycrisp’ Apples

HortScience ◽

10.21273/hortsci.44.6.1645 ◽

2009 ◽

Vol 44 (6) ◽

pp. 1645-1647 ◽

Cited By ~ 10

Author(s):

Renae E. Moran ◽

Jennifer R. DeEll ◽

William Halteman

Keyword(s):

Relative Humidity ◽

Air Temperature ◽

Soluble Solids ◽

Precipitation Temperature ◽

Fruit Maturity ◽

Honeycrisp Apples ◽

Soft Scald ◽

Relationship Of ◽

The Relationship ◽

Maximum Air Temperature

The relationship of soft scald incidence (SSI) with precipitation, temperature, and fruit maturity indicators in ‘Honeycrisp’ apples was examined using 7 years of data in Maine and 6 years in Ontario, Canada. Relative humidity was also examined in Maine. Soft scald incidence was highly variable from year to year ranging from 1% to 85% in Maine and from 0% to 76% in Ontario. In Ontario, SSI was negatively related to soluble solids at harvest (partial r2 = 0.50; P = 0.0041) and negatively related to precipitation during 90 to 120 days from bloom (DFB; partial r2 = 0.28; P = 0.0344). In Maine, SSI was most strongly related to precipitation in the 90 to 120 DFB (partial r2 = 0.53; P = 0.0001), maximum air temperature 60 to 90 DFB (partial r2 = 0.21; P = 0.0001), and number of hours when relative humidity was greater than 85% (partial r2 = 0.11; P = 0.0001).

Download Full-text

ANÁLISE BIOCLIMÁTICA E INVESTIGAÇÃO DO CONFORTO TÉRMICO EM AMBIENTE EXTERNO NA REGIÃO CENTRAL DO RS

ENERGIA NA AGRICULTURA ◽

10.17224/energagric.2019v34n3p377-388 ◽

2019 ◽

Vol 34 (3) ◽

pp. 377-388

Author(s):

Zanandra Boff Oliveira ◽

Alberto Eduardo Knies

Keyword(s):

Heat Stress ◽

Thermal Stress ◽

Relative Humidity ◽

Thermal Comfort ◽

Air Temperature ◽

Central Region ◽

External Environment ◽

Dew Point ◽

Santa Maria ◽

E Mail

ANÁLISE BIOCLIMÁTICA E INVESTIGAÇÃO DO CONFORTO TÉRMICO EM AMBIENTE EXTERNO NA REGIÃO CENTRAL DO RS ZANANDRA BOFF DE OLIVEIRA1, ALBERTO EDUARDO KNIES2 Professora adjunta, Coordenadoria Acadêmica, Universidade Federal de Santa Maria Campus em Cachoeira do Sul, Rua Ernesto Barros, nº 1345, Bairro Santo Antônio, cep: 96506-322, Cachoeira do Sul – RS, Brasil. E-mail: [email protected] Professor adjunto, Universidade Estadual do Rio Grande do Sul Unidade em Cachoeira do Sul, Rua Sete de Setembro, nº 1040, Bairro Santo Centro, cep: 96508-010, Cachoeira do Sul – RS, Brasil. E-mail: [email protected] RESUMO: o presente trabalho teve como objetivo realizar a análise bioclimática e a investigação do conforto térmico em ambiente externo na região central do RS. Para isso, utilizaram-se os seguintes índices de conforto térmico: índice de temperatura e umidade (ITU) e índice de desconforto humano (IDH). Os dados meteorológicos de temperatura do ar máxima (Tmax) e mínima (Tmin) e umidade relativa do ar máxima (URmax) e mínima (URmin) foram obtidos de uma série de 10 anos (2005-2015) de dados de uma estação meteorológica automática instalada em Santa Maria (RS). A temperatura do ponto de orvalho foi estimada a partir da Tmax e Tmin e da URmin e URmax, respectivamente. Os índices de conforto térmico foram calculados a partir das médias diárias do período (10 anos) para a situação de máximo desconforto térmico que ocorre nos extremos: 1) quando a temperatura do ar é máxima e a umidade relativa do ar é mínima - denominados de ITUmax e IDHmax; 2) quando a temperatura do ar é mínima e a umidade relativa do ar é máxima - denominados de ITUmin e IDHmin. Em função da elevada amplitude térmica mensal (>10ºC<18ºC) e diária (>5ºC<10ºC), os valores dos índices de conforto térmico (ITU e IDH) variam entre 51,5 e 80,4, indicando que a situação de conforto térmico do ambiente externo na região central do RS vai nos extremos de estresse térmico devido ao frio (julho) a estresse térmico devido ao calor (janeiro). No período de maio a outubro o conforto térmico ocorre na Tmax, mas na Tmin a situação é de desconforto a estresse por frio. No período de novembro a fevereiro, o conforto térmico ocorre na Tmin, mas na Tmax ocorre desconforto a estresse térmico por calor. Nos meses de março e abril, o desconforto ocorre tanto por frio quanto por calor. Dessa forma, para a produção zootécnica e para o conforto térmico humano na região central do RS, são necessárias práticas de acondicionamento ambiental que visem a minimização do estresse térmico. Palavra-chaves: índices de conforto térmico; análise bioclimática; amplitude térmica. BIOCLIMATIC ANALYSIS AND RESEARCH OF THERMAL COMFORT IN EXTERNAL ENVIRONMENT IN THE CENTRAL REGION OF RS ABSTRACT: The present work had the aim of performing the bioclimatic analysis and the investigation of the thermal comfort in an external environment in the Central region of RS. For this, the following thermal comfort indexes were used: temperature and humidity index (THI) and human discomfort index (HDI). The maximum air temperature (Tmax) and minimum air temperature (Tmin) and maximum relative humidity (URmax) and minimum air humidity (URmin) were obtained from a series of 10 years (2005 to 2015) of data of an automatic meteorological station installed in Santa Maria - RS. The temperature of the dew point was estimated from the Tmax and Tmin and the URmin and URmax, respectively. The thermal comfort indexes were calculated from the daily average of the period (10 years) for the situation of maximum thermal discomfort that occurs in the extremes: (i) when the air temperature is maximum and the relative humidity of the air is minimal - denominated of THImax and HDImax; (ii) when the air temperature is minimal and the relative humidity of the air is maximum - denominated THImin and HDImin. In function to the high temperature amplitude, monthly (> 10ºC <18ºC) and daily (> 5ºC <10ºC), the values of thermal comfort indexes (THI and HDI) vary from 51.5 to 80.4, indicating that thermal comfort of the external environment in the Central region of RS goes in the extremes of thermal stress due to the cold (July) to the heat stress due to the heat (January). In the period from May to October the thermal comfort occurs in Tmax, but in Tmin the situation is of cold stress discomfort. In the period from November to February, thermal comfort occurs in Tmin, but in Tmax, heat stress discomfort occurs. In the months of March and April the discomfort occurs as much by cold as by heat. Thus, for a zootechnical production and human thermal comfort in the central region of RS, it is necessary to practice environmental conditioning to minimize thermal stress. Keywords: thermal comfort index; bioclimatic analysis; thermal amplitude.

Download Full-text

Influence of Meteorological Parameters on Particle Pollution (PM2.5 and PM10) in the Tropical Climate of Port Harcourt, Nigeria

Archives of Current Research International ◽

10.9734/acri/2019/v19i130149 ◽

2019 ◽

pp. 1-12

Author(s):

Christopher U. Onuorah ◽

Tambari G. Leton ◽

Yusuf O. L. Momoh

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Air Temperature ◽

Meteorological Parameters ◽

Atmospheric Stability ◽

Pm10 Concentration ◽

Trade Wind ◽

North East ◽

Port Harcourt ◽

Pm2.5 And Pm10

Aims: This study explores the influence of meteorological parameters such as wind direction, wind speed, rainfall, air temperature and relative humidity on PM2.5 and PM10 concentration. Place and Duration of Study: The study was conducted in Woji, an urban area of Port Harcourt city in Nigeria, between May and December 2019 covering wet and dry season. Methodology: The PM10 and PM2.5 concentrations were monitored for 236 days using photometric laser based particulate monitor while meteorological parameters were collected using Misol weather station mounted 10m above ground at Woji monitoring location. Results: PM concentration for all the months under study were below USEPA 24-hr standard except the month of December with PM2.5 = 58.8 μg/m³ and PM10 = 164.5 μg/m³. The result showed a significant but positively strong correlation between PM2.5 and PM10 (r = 0.97, P < .001). The wind speed significantly influenced PM2.5 and PM10 concentration with a weak negative correlation (r = - 0.22 and -0.23) respectively at P < .001. Also, PM2.5 and PM10 concentration exhibited a weak negative but significant correlation with rainfall (r = - 0.05 and -0.05) and air temperature (r = - 0.12 and -0.14) respectively at P< .001. Relative humidity showed a weak negative but not significant correlation with PM2.5 concentration (r = - 0.01) while PM10 exhibited weak but significant correlation with relative humidity (r = 0.04). Conclusion: The PM concentration exceedances recorded in month of December could be attributed to dry dusty north east trade wind that comes with harmattan as well as high atmospheric stability which is associated with low wind speed. The study revealed that meteorological parameters such as temperature, wind speed and rainfall plays significant role in the reduction of particulate matter loading through air dispersion, atmospheric instability and washout process while relative humidity increases PM10 concentration.

Download Full-text

A network of meteorological stations for monitoring climate change impacts and adaptation on urban and rural environments

10.5194/ems2021-327 ◽

2021 ◽

Author(s):

Giannis Lemesios ◽

Gianna Kitsara ◽

Konstantinos V. Varotsos ◽

Basil Psiloglou ◽

Christos Giannakopoulos

Keyword(s):

Climate Change ◽

Relative Humidity ◽

Air Temperature ◽

Rural Areas ◽

Meteorological Parameters ◽

Climate Change Impacts ◽

Climate Indices ◽

Accurate Information ◽

Climatic Data ◽

Wide Range

&#921;n the framework of two European Projects, the LIFE URBANPROOF and LIFE TERRACESCAPE, a network of 24 meteorological stations has been installed for recording meteorological parameters and climate indices for the monitoring of impacts of climate change on urban and agricultural areas as well as for the assessment of respective adaptation measures.Regarding the urban environment, the study aims to estimate the Urban Heat Island (UHI) effect in the Greater Athens&#8217; Municipality of Peristeri, Greece, by analysing data from the meteorological stations installed (since January 2020) in different urban surroundings and investigating relative changes in surface temperatures and perceived thermal discomfort (HUMIDEX) thus identifying hot and cool spots at the local scale. The UHI mapping in the Municipality of Peristeri was designed and implemented in such a way, as to provide accurate information about heat stress conditions across different parts of the city. Fully automated sensors of air temperature and relative humidity were installed at eleven (11) sites throughout the municipality, covering a wide range of urban characteristics, such as densely populated areas, open spaces, municipal parks etc., where local climatic conditions were expected to show a degree of variation.As regards the rural environment, the study intends to estimate the anticipated changes of the micro-climate in the Aegean island of Andros, Greece after land-use interventions, which are considering the use of drystone terraces as green infrastructures resilient to climate change impacts. To that end, a network of 13 meteorological stations has been installed in selected rural areas of Andros since June 2018 for monitoring purposes. The thirteen meteorological stations, 12 small autonomous stations and 1 automated, currently operating on Andros Island continue (till now days) to generate baseline (micro-) climatic data, providing basic meteorological parameters such as air temperature and relative humidity. In addition, the valuable information, based on observational data from installed network of the meteorological stations, located either at currently abandoned terrace sites (project plots) or cultivated sites of Andros will be used to provide a solid basis for comparisons with changes projected for the future climate, combined with climatic indices which directly or indirectly affect agriculture in the monitoring areas.&#160;

Download Full-text