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Information Journal Paper

Title

FORCASTING CO, NO2 AND PM10 USING LAND USE REGRESSION MODEL (LUR) (CASE STUDY: TEHRAN CITY)

Pages

  1-16

Abstract

AIR QUALITY in large cities is one of the major problems and challenges in developed and developing countries today. Occurrence and intensity of air Pollution in cities influence by various factors such as pollution Sources, meteorological factors and chemical reactions between pollutants. There are different models for predict air pollution concentrations in cities that classified in the two groups: models based on dispersion method and LAND USE REGRESSION models (LUR). The first research on LUR model was Introduced by SAVIAH project that sponsored by the European Union,. This study was a multicenter project that is included Huddersfield and London (UK), Bilthoven (Netherlands), Prague (Czech Republic) and Warsaw (Poland). SAVIAH study aimed to develop and validate methods for analyzing the relationship between air pollution and health on a small scale. After this research, several studies use the application of this model for modeling urban AIR QUALITY. ...

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    APA: Copy

    MOHAMMADI, AKBAR, GHARAKHLOO, MEHDI, ZIARI, KERAMATOLLAH, & POURAHMAD, AHMAD. (2018). FORCASTING CO, NO2 AND PM10 USING LAND USE REGRESSION MODEL (LUR) (CASE STUDY: TEHRAN CITY). HUMAN GEOGRAPHY RESEARCH QUARTERLY, 50(1 ), 1-16. SID. https://sid.ir/paper/139122/en

    Vancouver: Copy

    MOHAMMADI AKBAR, GHARAKHLOO MEHDI, ZIARI KERAMATOLLAH, POURAHMAD AHMAD. FORCASTING CO, NO2 AND PM10 USING LAND USE REGRESSION MODEL (LUR) (CASE STUDY: TEHRAN CITY). HUMAN GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2018;50(1 ):1-16. Available from: https://sid.ir/paper/139122/en

    IEEE: Copy

    AKBAR MOHAMMADI, MEHDI GHARAKHLOO, KERAMATOLLAH ZIARI, and AHMAD POURAHMAD, “FORCASTING CO, NO2 AND PM10 USING LAND USE REGRESSION MODEL (LUR) (CASE STUDY: TEHRAN CITY),” HUMAN GEOGRAPHY RESEARCH QUARTERLY, vol. 50, no. 1 , pp. 1–16, 2018, [Online]. Available: https://sid.ir/paper/139122/en

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