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Information Journal Paper

Title

Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression

Pages

  17-37

Abstract

 Paying attention to Environmental Effects on the production of agricultural yields can be very useful in the direction of Sustainable Agricultural Management. Understanding biological behaviors in the production of pollutants can play an important role in reducing the adverse effects of Air Pollution. Logistic Regression method is considered as a linear developed method to predict Air Pollution; Time series analysis of parameters affecting air pollutants and addressing how much data is needed in previous times to predict the amount of pollutants one step ahead is an issue that has been less studied. The current study aims to model the process of five important pollutants including carbon monoxide (CO), ozone (O3), particulate matter less than 10 μ m in diameter (PM10), sulfur dioxide (SO2) and nitrogen dioxide (NO2) in Mazandaran province, using Logistic Regression method and time series analysis, to examine the efficiency and flexibility of the methods used in modeling and forecasting these pollutants. In this study, meteorological data from Ramsar, Amol, Babolsar and Nowshahr stations and Air Pollution data from Gulogah, Ghaemshahr, Sari and Kiasar stations were received daily in the second half of 2017 and 2018, the average of which has been used in data analysis. The findings reveal that NO2 and CO of Gulogah station and O3 of Kiasar station and SO2, NO2 and CO of Sari and Ghaemshahr pollution stations are completely related to the parameters of temperature, relative humidity and wind speed, which indicates the effect of these parameters on changing the concentration of these pollutants. Moreover, based on the patterns of univariate functions of regression equations, valid formulas for estimating logistic relationships between pollutants and meteorological parameters were extracted, according to which, having meteorological parameters in stations, it is easy to predict the pollution of the region.

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    APA: Copy

    GHORBANI, MAJID, MAHMOODI, ABOLFAZL, Shokat fadaee, Mohsen, & KHALEDI, MOHAMMAD. (2021). Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression. GEOGRAPHY AND ENVIRONMENTAL SUSTAINABILITY, 10(37 ), 17-37. SID. https://sid.ir/paper/955275/en

    Vancouver: Copy

    GHORBANI MAJID, MAHMOODI ABOLFAZL, Shokat fadaee Mohsen, KHALEDI MOHAMMAD. Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression. GEOGRAPHY AND ENVIRONMENTAL SUSTAINABILITY[Internet]. 2021;10(37 ):17-37. Available from: https://sid.ir/paper/955275/en

    IEEE: Copy

    MAJID GHORBANI, ABOLFAZL MAHMOODI, Mohsen Shokat fadaee, and MOHAMMAD KHALEDI, “Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression,” GEOGRAPHY AND ENVIRONMENTAL SUSTAINABILITY, vol. 10, no. 37 , pp. 17–37, 2021, [Online]. Available: https://sid.ir/paper/955275/en

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