scholarly journals EVAPOTRANSPIRATION FROM ALFALFA AS RELATED TO EVAPORATION AND OTHER METEOROLOGICAL VARIABLES

1966 ◽  
Vol 46 (3) ◽  
pp. 271-277 ◽  
Author(s):  
E. H. Hobbs ◽  
K. K. Krogman

Evapotranspiration from irrigated alfalfa was related to evaporation from a Class A evaporation pan, an Experimental Farms buried tank, and a Bellani plate atmometer in addition to the meteorological variables temperature, sunshine, wind, and vapor pressure. Except for the evapotranspiration–wind relationship all simple correlation coefficients were significant when the crop was growing vigorously and completely shaded the ground.Although wind alone did not correlate significantly with either evaporation or evapotranspiration, it contributed appreciably when considered in combination with other meteorological variables. The limitations of simple correlation must be recognized in developing formulas intended for estimating evapotranspiration from meteorological data.

1964 ◽  
Vol 44 (5) ◽  
pp. 397-404 ◽  
Author(s):  
W. L. Pelton

Daily measurements of evaporation from the porous disk and Bellani plate atmometers, the Class A evaporation pan, and the Experimental Farms buried tank were compared and related to daily measurements of temperature, radiation, wind, and vapor pressure. Simple correlation coefficients indicated highly significant relationships among evaporation measurements (dependent variables) and the meteorological factors (independent variables) with the exception of wind.Multiple regression analyses showed highly significant correlations between each of the evaporimeters and the four meteorological variables studied. A linear combination of the four independent variables accounted for 70 to 86% of the variation in evaporation from the four evaporimeters, but the standard errors of estimate were also large. These four meteorological variables were of about equal importance in their influence on evaporation on the Canadian Prairies. Advected energy played a more important role than it has in more humid climates.


2013 ◽  
Vol 182-183 ◽  
pp. 314-331 ◽  
Author(s):  
Wee Ho Lim ◽  
Michael L. Roderick ◽  
Michael T. Hobbins ◽  
Suan Chin Wong ◽  
Graham D. Farquhar

Author(s):  
Saurabh Mahajan ◽  
Ravi Devarakonda ◽  
Gautam Mukherjee ◽  
Nisha Verma ◽  
Kumar Pushkar

Background: Coronaviruses are a family of viruses that can result in different types of illnesses, most commonly, as Severe acute respiratory syndrome (SARS). Researches have shown that the atmospheric variables and the density of population have affected the transmission of the disease. Meteorological variables like temperature, humidity among others have found to affect the rise of pandemic in positive or negative ways.  Respiratory virus illnesses have shown seasonal variability since the time they have been discovered and managed. This study investigated the relationship between the meteorological variables of temperature, humidity and precipitation in the spread of COVID-19 disease in the city of Pune.Methods: This record based descriptive study is conducted after secondary data analysis of number of new cases of COVID-19 per day from the period 01 May to 24 December 2020 in Pune. Meteorological data of maximum (Tmax), minimum (Tmin) and daily average temperature (Tavg), humidity and precipitation were daily noted from Indian meteorological department website. Trend was identified plotting the daily number of clinically diagnosed cases over time period. Pearson’s correlation was used to estimate association between meteorological variables and daily detected fresh cases of COVID-19 disease.  Results: Analysis revealed significant negative correlation (r=-0.3563, p<0.005) between daily detected number of cases and maximum daily temperature. A strong positive correlation was seen between humidity and daily number of cases (r=0.5541, p<0.005).Conclusions: The findings of this study will aid in forecasting epidemics and in preparing for the impact of climate change on the COVID epidemiology through the implementation of public health preventive measures.


2019 ◽  
Vol 96 (3) ◽  
pp. 253-257
Author(s):  
Nurlan K. Smagulov ◽  
A. A. Adilbekova

The work is dedicated to methodological problems of the mathematical assessment of the impact of meteorological factors on the adaptive function of the teachers of the High School Institutions. Objects of research. Male teachers of the High School Institution, aged of from 24 to 49 years. Meteorological data were evaluated during the investigation of anthropometric indices of height and weight, individual-typological features and the physiological assessment of the central nervous system, cardiovascular system of the High School teachers. Statistical analysis was performed with the use of Statistica 6.0 package and special statistical software. Paired correlation coefficients obtained as a result of calculation were used to estimate the proportion of the influence of input factors (arguments) on the output factors (functions). A mathematical analysis has allowed to reveal leading meteorological factors that cause a certain level of functional exhaustion during the investigated period. The use of a non-linear correlation analysis allowed to enhance significantly the ability for analytical processing of the results, increase of the effectiveness and the possibility of interpreting the interaction of factors in achieving optimal adaptation of teachers in the working process and to identify the role of meteorological factors in this process. Knowledge of leading factors and the percentage of their contribution to the functional state allowed to give the more accurate assessment of stress to the organism in specific circumstances. The ultimate aim of the mathematical analysis should be not only to find the critical value defined the priority factor characterizing the degree of of information load, but the critical combination of all priority factors causing disruption and the beginning of “start-up” adaptation process in the system “dose-effect. “


Author(s):  
Hermes Ulises Ramirez-Sanchez ◽  
Alma Delia Ortiz-Bañuelos ◽  
Aida Lucia Fajardo-Montiel

Meteorological factors such as temperature, humidity, atmospheric pressure, wind speed and direction are associated with the dispersion of the SARS-CoV-2 virus through aerosols, particles <5μm are suspended in the air being infective at least three hours and dispersing from eight to ten meters. It has been shown that a 10-minute conversation, an infected person produces up to 6000 aerosol particles, which remain in the air from minutes to hours, depending on the prevailing weather conditions. Objective: To establish the correlation between meteorological variables, confirmed cases and deaths from COVID-19 in the 3 most important cities of Mexico. Methodology: A retrospective ecological study was conducted to evaluate the correlation of meteorological factors with COVID-19 cases and deaths in three Mexican cities. Results: The correlations between health and meteorological variables show that in the CDMX the meteorological variables that best correlate with the health variables are Temperature (T), Dew Point (DP), Wind speed (WS), Atmospheric Pressure (AP) and Relative Humidity (RH) in that order. In the ZMG are T, WS, RH, DP and AP; and in the ZMM are RH, WS, DP, T and AP. Conclusions In the 3 Metropolitan Areas showed that the meteorological factors that best correlate with the confirmed cases and deaths from COVID-19 are the T, RH; however, the correlation coefficients are low, so their association with health variables is less than other factors such as social distancing, hand washing, use of antibacterial gel and use of masks.


2015 ◽  
Vol 7 (6) ◽  
pp. 1145
Author(s):  
Patricia Simone Palhana Moreira ◽  
Rivanildo Dallacort ◽  
Idilaine De Fatima Lima ◽  
Rafael Cesar Tieppo ◽  
Cristiano Santos

O objetivo do presente trabalho foi analisar as concentrações de material particulado presente na atmosfera de Tangará da Serra-MT, e correlacioná-los com as variáveis meteorológicas, informações de saúde e com o número de focos de queimada no Estado de Mato Grosso. Os dados de material particulado foram amostrados diariamente a cada 5 minutos, com auxilio do coletor DataRam4, no período de agosto de 2008 a julho de 2009. Os dados meteorológicos foram disponibilizados pelo Instituto Nacional de Meteorologia - INMET, o qual possui uma estação meteorológica instalada na Universidade do Estado de Mato Grosso – UNEMAT. A média de concentração do período foi de 30,1 ug.m-3. Os meses de agosto, setembro e outubro apresentaram concentrações mais altas de material particulado, nestes meses também ocorreram os maiores números de queimadas no Estado. Nos meses em que foram registrados os picos de concentração, houve dias em que os padrões de qualidade do ar foram ultrapassados. No mês de outubro, que foi o de maior concentração, as médias diárias ultrapassaram 150 ug.m-3 em três dias. As concentrações de material particulado (PM10) foram altas apenas em um período relativamente curto, de apenas três meses, nos demais meses as concentrações foram baixas, não ultrapassando os limites de qualidade do ar.  A B S T R A C T The aim of this work was to analyze the atmospheric particulate matter concentrations in Tangara da Serra MT, and correlate them with meteorological variables, health information and the number of fire spots in Mato Grosso State. The particulate matter data were sampled every five minutes daily with a DataRam4 collector, from August 2008 to July 2009. Meteorological data were acquired from the National Institute of Meteorology - INMET, which has a weather station at the Mato Grosso State University - UNEMAT. The average concentration for the period was 30.1 ug.m-3. The months of August, September and October showed higher concentrations of particulate matter, in these months also occurred the highest number of fire spots in the State. In the months that had the concentrations peak, there were days when the air quality standards were exceeded. In October, which had the highest concentration, the daily average exceeded 150 ug.m-3 in three days. The concentrations of particulate matter (PM10) were high, but only in a relatively short period of three months, in the remaining months the concentrations were low, not exceeding the limits of air quality. Keywords: Meteorological Variables, Fire Spots, Meteorology.  


2015 ◽  
Vol 95 (4) ◽  
pp. 67-76
Author(s):  
Stanimir Zivanovic ◽  
Milena Gocic ◽  
Radomir Ivanovic ◽  
Natasa Martic-Bursac

Fires in nature are caused by moisture content in the burning material, which is dependent on the values of the climatic elements. The occurrence of these fires in Serbia is becoming more common, depending on the intensity and duration have a major impact on the state of vegetation. The aim of this study was to determine the association between changes in air temperature and the dynamics of the appearance of forest fires. To study the association of these properties were used Pearson correlation coefficients. The analysis is based on meteorological data obtained from meteorological station in Negotin for the period 1991-2010. Research has found that the annual number of fires, correlating with an average annual air temperature (p = 0.317, ? = 0.21). Also, it was found that the annual number of fires positive, medium intensity, correlate with the absolute maximum air temperature (p = 0.578, ? = 0.26), but not statistically significant (p> 0.05).


2015 ◽  
Vol 33 (3) ◽  
pp. 477 ◽  
Author(s):  
Nadja Gomes Machado ◽  
Marcelo Sacardi Biudes ◽  
Carlos Alexandre Santos Querino ◽  
Victor Hugo De Morais Danelichen ◽  
Maísa Caldas Souza Velasque

ABSTRACT. Cuiab´a is located on the border of the Pantanal and Cerrado, in Mato Grosso State, which is recognized as one of the biggest agricultural producers of Brazil. The use of natural resources in a sustainable manner requires knowledge of the regional meteorological variables. Thus, the objective of this study was to characterize the seasonal and interannual pattern of meteorological variables in Cuiab´a. The meteorological data from 1961 to 2011 were provided by the Instituto Nacional de Meteorologia (INMET – National Institute of Meteorology). The results have shown interannual and seasonal variations of precipitation, solar radiation, air temperature and relative humidity, and wind speed and direction, establishing two main distinct seasons (rainy and dry). On average, 89% of the rainfall occurred in the wet season. The annual average values of daily global radiation, mean, minimum and maximum temperature and relative humidity were 15.6 MJ m–2 y–1, 27.9◦C, 23.0◦C, 30.0◦C and 71.6%, respectively. Themaximum temperature and the wind speed had no seasonal pattern. The wind speed average decreased in the NWdirectionand increased in the S direction.Keywords: meteorological variables, climatology, ENSO. RESUMO. Cuiabá está localizado na fronteira do Pantanal com o Cerrado, no Mato Grosso, que é reconhecido como um dos maiores produtores agrícolas do Brasil. A utilização dos recursos naturais de forma sustentável requer o conhecimento das variáveis meteorológicas em escala regional. Assim, o objetivo deste estudo foi caracterizar o padrão sazonal e interanual das variáveis meteorológicas em Cuiabá. Os dados meteorológicos de 1961 a 2011 foram fornecidos pelo Instituto Nacional de Meteorologia (INMET). Os resultados mostraram variações interanuais e sazonais de precipitação, radiação solar, temperatura e umidade relativa do ar e velocidade e direção do vento, estabelecendo duas principais estações distintas (chuvosa e seca). Em média, 89% da precipitação ocorreu na estação chuvosa. Os valores médios anuais de radiação diária global, temperatura do ar média, mínima e máxima e umidade relativa do ar foram 15,6 MJ m–2 y–1, 27,9◦C, 23,0◦C, 30,0◦C e 71,6%, respectivamente. A temperatura máxima e a velocidade do vento não tiveram padrão sazonal. A velocidade média do vento diminuiu na direção NW e aumentou na direção S.Palavras-chave: variáveis meteorológicas, climatologia, ENOS.


1982 ◽  
Vol 62 (4) ◽  
pp. 1049-1055 ◽  
Author(s):  
A. K. SHARMA ◽  
R. T. BERG

Relationships of scrotal circumference (SC) with body weight (BW) and backfat thickness (FT) as measured from scanograms were studied. A total of 935 observations on growing multibreed synthetic beef bulls on a postweaning performance test were available from a commercial herd for this study. Significant breed group, period and group × period interaction effects were noted on SC, BW and FT. BW and SC increased significantly during the test in all breed groups, while FT showed no change in three breed groups. Repeatability pooled across groups for SC was estimated as 0.72; 0.66 after adjusting for BW. Significant correlations were noticed between SC and BW within each breed group. Partial correlations between SC and BW at constant FT were not different from gross correlations. Linear regression coefficients of SC on BW were significant in all groups and showed heterogeneity among groups but not between periods within groups. Adjustments of SC for BW should, therefore, be breed group specific. BW alone accounted for considerable variation in SC, from 38 to 76%. Simple correlation coefficients between SC and FT were low and significant in only two groups. A significant but low positive relationship was noted between SC and FT at constant BW in a group fed a high-concentrate diet during the postweaning gain period, but there was no relationship in four other groups. Results indicated that the method of adjusting SC for FT as an indirect way of adjusting for scrotal fat was not satisfactory. Key words: Bulls, scrotal circumference, growth


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