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Wyszukujesz frazę "Pazira, E." wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Effect of some amendments on leachate properties of a calcareous saline-sodic soil
    Autorzy:
    Yazdanpanah, N.
    Pazira, E.
    Neshat, A.
    Naghavi, H.
    Moezi, A.
    Mahmoodabadi, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/25580.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    leachate property
    soil
    salinity
    sodicity
    leachate
    organic amendment
    gypsum
    mineral amendment
    Źródło:
    International Agrophysics; 2011, 25, 3
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of some heavy metals contaminated soils around the Shahid Salimi power plant, Neka, Mazandaran Province, Iran
    Autorzy:
    Sedghi, M.
    Torkashvand, A.M.
    Asadi, M.E.
    Pazira, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/971564.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    background concentration
    contamination factor
    heavy metals
    mazandaran prov-
    ince
    soil contamination
    Opis:
    One of the most important problems threatening the health of natural resources and, in turn, the food safety of societies is environmental contamination. Heavy metals are considered as the environmental pollutants. The entry of heavy metals into the soil is done through the atmospheric sources and mostly via melting plants, oil refieries and power plants. Due to the mazut consumption in some seasons, power plants are considered as a threat to the soil. This study was conducted with the aim of evaluating contamination of some heavy metals including copper, zinc, cadmium, lead, and nickel in the soils around the Shahid Salimi power plant, Neka located in Mazandaran province, north of Iran. One of the greatest threats is the possible contamination of cultivated paddy by pollutant elements. A number of 50 samples from the soil around the power plant were taken from a depth of 0–20 cm within the form of a regular grid and the concentration of the corresponding metals was measured in each of them. The mean background concentration of copper, nickel, lead, zinc, and cadmium was 36.2, 339.8, 90.8, 13.8, and 0.20 mg∙kg, respectively. The maximum mean contamination factor belongs to nickel, lead, copper, zinc, and cadmium, respectively. The frequency of the obtained contamination evaluation classes indicates that the majority of the analyzed samples have a medium level of contamination. Copper, nickel, and lead belong to the class of very high contaminants. By comparing the concentrations of the heavy metals of studied region with quality standard of Iranian soil resources, presented by the Department of Environment Protection of Iran, it was observed that the concentrations of cadmium, zinc, and copper have been signifiant at the level of 5% based on the standards determined by the agency for agricultural uses, environmental standard and groundwater level. In other words, they do not have conflct with the determined standard at any of the three levels.
    Źródło:
    Polish Journal of Soil Science; 2019, 52, 1; 129-136
    0079-2985
    Pojawia się w:
    Polish Journal of Soil Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Interpolation of soil infiltration in furrow irrigation: Comparison of kriging, inverse distance weighting, multilayer perceptron and principal component analysis methods
    Autorzy:
    Alipour, N.
    Nasseri, A.
    Mohammbdi, T.A.
    Pazira, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/971544.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    artificial neural network
    geostatistical analysis
    irrigation
    soil infiltration
    Opis:
    Study on soil infiltration rate as part of water cycle is essential for managing water resources and designing irrigation systems. The present study was conducted with the aim to compare Kriging, inverse distance weighting (IDW), multilayer perceptron (MLP) and principal component analysis (PCA) methods in the interpolation of soil infiltration in furrow irrigation, and determine the best interpolation method. To conduct infiltration tests, furrows were made on the farm in four triad groups. Infiltration through the blocked furrows method was measured 10, 20, 30, 40, 50, 60, 90, 120, 150, 160, 180 and 210 min after irrigation at a 10-meter distance in each furrow. Data were analyzed by GS+ and Neuro Solutions (NS) software packages. In this study, the maximum error (ME), mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), relative error (RE) and correlation coefficient (r) were used to compare the interpolation methods. The results of analysis of variance (ANOVA) indicated that differences in methods based on RMSE, MBE, MAE and ME indices were not significant; however, this difference was significant based on r and RE indices. According to the ANOVA results, it can be said that the PCA method with a r of 0.69 and RE of 31%, was predicted with a higher accuracy as compared to other methods.
    Źródło:
    Polish Journal of Soil Science; 2019, 52, 1; 59-74
    0079-2985
    Pojawia się w:
    Polish Journal of Soil Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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