scholarly journals An estimate of the short term local climatic changes by measuring the air temperature air pressure and humidity

2015 ◽  
Author(s):  
ANTON STOILOV ◽  
BORISLAV YURUKOV
Keyword(s):  
Air Temperature ◽  
Climatic Changes ◽  
Air Pressure ◽  
Short Term

scholarly journals Air pollution forecasting application based on deep learning model and optimization algorithm

2021 ◽  
Author(s):  
Azim Heydari ◽  
Meysam Majidi Nezhad ◽  
Davide Astiaso Garcia ◽  
Farshid Keynia ◽  
Livio De Santoli
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Power Plant ◽  
Air Temperature ◽  
Short Term Memory ◽  
Combined Cycle ◽  
Short Term ◽  
Term Memory ◽  
Proposed Model ◽  
Long Short Term Memory

AbstractAir pollution monitoring is constantly increasing, giving more and more attention to its consequences on human health. Since Nitrogen dioxide (NO2) and sulfur dioxide (SO2) are the major pollutants, various models have been developed on predicting their potential damages. Nevertheless, providing precise predictions is almost impossible. In this study, a new hybrid intelligent model based on long short-term memory (LSTM) and multi-verse optimization algorithm (MVO) has been developed to predict and analysis the air pollution obtained from Combined Cycle Power Plants. In the proposed model, long short-term memory model is a forecaster engine to predict the amount of produced NO2 and SO2 by the Combined Cycle Power Plant, where the MVO algorithm is used to optimize the LSTM parameters in order to achieve a lower forecasting error. In addition, in order to evaluate the proposed model performance, the model has been applied using real data from a Combined Cycle Power Plant in Kerman, Iran. The datasets include wind speed, air temperature, NO2, and SO2 for five months (May–September 2019) with a time step of 3-h. In addition, the model has been tested based on two different types of input parameters: type (1) includes wind speed, air temperature, and different lagged values of the output variables (NO2 and SO2); type (2) includes just lagged values of the output variables (NO2 and SO2). The obtained results show that the proposed model has higher accuracy than other combined forecasting benchmark models (ENN-PSO, ENN-MVO, and LSTM-PSO) considering different network input variables. Graphic abstract

scholarly journals Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

2016 ◽  
Vol 11 (1s) ◽  
Author(s):  
Felipe J. Colón-González ◽  
Adrian M. Tompkins ◽  
Riccardo Biondi ◽  
Jean Pierre Bizimana ◽  
Didacus Bambaiha Namanya
Keyword(s):  
Time Series ◽  
Air Temperature ◽  
Malaria Incidence ◽  
Temporal Correlation ◽  
Early Warning Systems ◽  
Socioeconomic Indicators ◽  
Malaria Surveillance ◽  
Short Term ◽  
Climatic Information ◽  
Short Term Effects

We investigate the short-term effects of air temperature, rainfall, and socioeconomic indicators on malaria incidence across Rwanda and Uganda from 2002 to 2011. Delayed and nonlinear effects of temperature and rainfall data are estimated using generalised additive mixed models with a distributed lag nonlinear specification. A time series cross-validation algorithm is implemented to select the best subset of socioeconomic predictors and to define the degree of smoothing of the weather variables. Our findings show that trends in malaria incidence agree well with variations in both temperature and rainfall in both countries, although factors other than climate seem to play an important role too. The estimated short-term effects of air temperature and precipitation are nonlinear, in agreement with previous research and the ecology of the disease. These effects are robust to the effects of temporal correlation. The effects of socioeconomic data are difficult to ascertain and require further evaluation with longer time series. Climate-informed models had lower error estimates compared to models with no climatic information in 77 and 60% of the districts in Rwanda and Uganda, respectively. Our results highlight the importance of using climatic information in the analysis of malaria surveillance data, and show potential for the development of climateinformed malaria early warning systems.

scholarly journals Climatic changes and their influence on air temperature and precipitation in Ukraine during transitional seasons

2020 ◽  
pp. 60-67
Author(s):  
V. M. Khokhlov ◽  
H. O. Borovska ◽  
M. S. Zamfirova
Keyword(s):  
Air Temperature ◽  
Meteorological Parameters ◽  
Regional Climate ◽  
Monitoring Network ◽  
Climatic Changes ◽  
Precipitation Regime ◽  
Runoff Water ◽  
The West ◽  
Temperature And Precipitation ◽  
Dynamic Methods

      Since modern research indicates climatic changes in all regions of our planet, including on the territory of Ukraine (in particular, the deviation of temperature and other meteorological parameters from the values of the climatic norm), their study is extremely important. After all, they can lead to changes in the nature of precipitation distribution, the length of the growing season, a decrease in the duration of the stable snow cover, local runoff water resources, etc. Most scientific works in recent years describe changes in the distribution of temperature characteristics and precipitation regime, because they are one of the main indicators of the state of the climate system. Therefore, the purpose of this article is to identify the features of changes in air temperature and precipitation for the entire territory of Ukraine from 2021 to 2050 based on the results of 16 simulations of the ensemble of CORDEX models based on the RCP4.5 scenario. The CORDEX project is a modern simulation of the future climate and has a resolution of ~ 12.5 km in the horizontal plane, which makes it possible to better simulate the characteristics under study. It integrates regional climate predictions that are generated using statistical and dynamic methods. The results obtained are presented for 177 cities of Ukraine, which currently form the basis of a modern monitoring network. It was found that the number of days with precipitation ≥ 5 mm in transitional seasons increases on average by 1-3 days per month, depending on the region. The maximum values of the frequency of occurrence of the number of days with precipitation ≥ 5 mm are observed in the west and gradually decrease in the south. Compared to 1961-1990, the most significant changes occur with the number of frosty days with an air temperature of ≤ 0°С, which noticeably decreases during the study period from north to south. In April and October, for the southern regions of Ukraine, the considered parameter is equal to 0, which means that in these months the air temperature for these regions will have positive values. From the above, there is a tendency towards warming in transitional seasons and a change in the nature of moisture supply to the territory of Ukraine in the next thirty years.

Wildfire and Postfire Restoration Action Effects on Microclimate and Seedling Pine Tree Survivorship

2014 ◽  
Vol 5 (1) ◽  
pp. 174-182 ◽  
Author(s):  
Donald J. Brown ◽  
Ivana Mali ◽  
Michael R.J. Forstner
Keyword(s):  
Soil Moisture ◽  
Wind Speed ◽  
Soil Temperature ◽  
Air Temperature ◽  
Loblolly Pine ◽  
Absolute Humidity ◽  
Short Term ◽  
Burned Areas ◽  
High Severity ◽  
Postfire Management

Abstract Through modification of structural characteristics, ecological processes such as fire can affect microhabitat parameters, which in turn can influence community composition dynamics. The prevalence of high-severity forest fires is increasing in the southern and western United States, creating the necessity to better understand effects of high-severity fire, and subsequent postfire management actions, on forest ecosystems. In this study we used a recent high-severity wildfire in the Lost Pines ecoregion of Texas to assess effects of the wildfire and postfire clearcutting on six microclimate parameters: air temperature, absolute humidity, mean wind speed, maximum wind speed, soil temperature, and soil moisture. We also assessed differences between burned areas and burned and subsequently clearcut areas for short-term survivorship of loblolly pine Pinus taeda seedling trees. We found that during the summer months approximately 2 y after the wildfire, mean and maximum wind speed differed between unburned and burned areas, as well as burned and burned and subsequently clearcut areas. Our results indicated air temperature, absolute humidity, soil temperature, and soil moisture did not differ between unburned and burned areas, or burned and burned and subsequently clearcut areas, during the study period. We found that short-term survivorship of loblolly pine seedling trees was influenced primarily by soil type, but was also lower in clearcut habitat compared with habitat containing dead standing trees. Ultimately, however, the outcome of the reforestation initiative will likely depend primarily on whether or not the trees can survive drought conditions in the future, and this study indicates there is flexibility in postfire management options prior to reseeding. Further, concerns about negative wildfire effects on microclimate parameters important to the endangered Houston toad Bufo (Anaxyrus) houstonensis were not supported in this study.

Solar Influences on Holocene Climatic Changes Illustrated by Correlations between Past Lake-Level Fluctuations and the Atmospheric 14C Record

1993 ◽  
Vol 40 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Michel Magny
Keyword(s):  
Magnetic Field ◽  
Lake Level ◽  
Climatic Changes ◽  
Anthropogenic Factors ◽  
Short Term ◽  
Climatic Oscillations ◽  
Lake Level Fluctuations ◽  
Natural Factors ◽  
Dipole Magnetic Field ◽  
Climate Evolution

AbstractChronological correlations established at different time scales among the lake-level fluctuations in the Jura and French Subalpine ranges, glacier movements in the Swiss and Austrian Alps, and the atmospheric 14C record during the last 7 millennia show coincidences between lake-level rises, glacier advances, and high 14C production and vice versa. These correspondences suggest that the short-term 14C variations may be an empirical indicator of Holocene palaeoclimates and argue for possible origins of Holocene climatic oscillations: (1) The varying solar activity refers to secular climatic oscillations and to major climatic deteriorations showing a ca. 2300-yr periodicity. (2) A question is raised about a relationship between the earth's magnetic field and climate. First, the weak-strength periods of the earth's dipole magnetic field (between 3800 and ca. 2500 B.C.) coincide with higher climate variability, and vice versa. Second, the ca. 2300-yr periods revealed by the 14C record and also by the major climatic deteriorations re. corded in Jurassian lakes (ca. 1500 A.D., ca. 800 B.C., and ca. 3500 B.C.) coincide with the ca. 2300-yr periods revealed by the earth's nondipole geomagnetic field. The present warming induced by anthropogenic factors should be intensified during the next few centuries by natural factors of climate evolution.

Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon

2019 ◽  
Vol 647 ◽  
pp. 127-133 ◽  
Author(s):  
Ricardo Almendra ◽  
Adriana Loureiro ◽  
Giovani Silva ◽  
João Vasconcelos ◽  
Paula Santana
Keyword(s):  
Mental Disorders ◽  
Air Temperature ◽  
Short Term

Oxygen isotope compositions of phosphate from arvicoline teeth and Quaternary climatic changes, Gigny, French Jura

2004 ◽  
Vol 62 (2) ◽  
pp. 172-182 ◽  
Author(s):  
Nicolas Navarro ◽  
Christophe Lécuyer ◽  
Sophie Montuire ◽  
Cyril Langlois ◽  
François Martineau
Keyword(s):  
Oxygen Isotope ◽  
Air Temperature ◽  
Isotope Fractionation ◽  
Meteoric Water ◽  
Ice Core ◽  
Climatic Changes ◽  
Oxygen Isotope Fractionation ◽  
Air Temperatures ◽  
French Jura ◽  
Fractionation Equation

Oxygen isotope compositions of biogenic phosphates from mammals are widely used as proxies of the isotopic compositions of meteoric waters that are roughly linearly related to the air temperature at high- and mid-latitudes. An oxygen isotope fractionation equation was determined by using present-day European arvicoline (rodents) tooth phosphate: δ18Op = 20.98(±0.59) + 0.572(±0.065) δ18Ow. This fractionation equation was applied to the Late Pleistocene karstic sequence of Gigny, French Jura. Comparison between the oxygen isotope compositions of arvicoline tooth phosphate and Greenland ice core records suggests to reconsider the previously established hypothetical chronology of the sequence. According to the δ18O value of meteoric water–mean air temperature relationships, the δ18O value of arvicoline teeth records variations in mean air temperatures that range from 0° to 15°C.

scholarly journals Cognitive function and short-term exposure to residential air temperature: A repeated measures study based on spatiotemporal estimates of temperature

2016 ◽  
Vol 150 ◽  
pp. 446-451 ◽  
Author(s):  
Lingzhen Dai ◽  
Itai Kloog ◽  
Brent A. Coull ◽  
David Sparrow ◽  
Avron Spiro ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Air Temperature ◽  
Repeated Measures ◽  
Short Term ◽  
Short Term Exposure
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