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Atmospheric environmental quality assessment method based on analytic hierarchy process

  • * Corresponding author: Wendai Lv

    * Corresponding author: Wendai Lv 

The first author is supported by the Natural Science Foundation of Kunming University of Science and Technology (Provincial talent training project) No. KKSY201508012, and the Science Fund Projects of Yunnan Provincial Education Department, No.2017ZZX160

Abstract Full Text(HTML) Figure(6) / Table(1) Related Papers Cited by
  • Atmospheric environmental quality significantly influences the environment of people's life and the development of modern society. Therefore, in this paper, we aim to accurately assess atmospheric environmental quality. Firstly, we propose and analyze two indicator systems for atmospheric environmental quality assessment, that is, 1) the standard air pollution index, and 2) an index system which covers different types of influencing factors related to air quality. In particular, the proposed index system is made up of seven parts, that is, 1) Climate and meteorology, 2) Economic and social development, 3) Industrial structure, 4) Energy consumption, 5) Industrial pollutant discharge, 6) The greening of the city, and 7) Environmental protection construction. Secondly, we propose a hybrid AHP-Fuzzy Comprehensive Evaluation Model to evaluate the atmospheric environmental quality. In the hybrid model, AHP is used to calculate the weight coefficient of the index system, and fuzzy comprehensive evaluation model is exploited to describe the vagueness of remark in the evaluation process. Finally, experimental results demonstrate that using the proposed index system, the hybrid AHP-Fuzzy comprehensive evaluation model is able to assess air quality more accurately than the modified API.

    Mathematics Subject Classification: Primary: 58F15, 58F17; Secondary: 53C35.


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  • Figure 1.  Index system for atmospheric environmental quality assessment

    Figure 2.  Data flow of the analytic hierarchy process

    Figure 3.  Average diurnal variations for different types of pollutants for different cities

    Figure 4.  Average yearly variations for different types of pollutants for different cities

    Figure 5.  Index weight for the proposed index system

    Figure 6.  Atmospheric environmental quality assessment results

    Table 1.  Original data for the atmospheric environmental quality influencing factors

    Index City 1 City 2 City 3 City 4 City 5
    X1 1562.3 1268.5 1324.5 1025.6 985.6
    X2 835.3 824.6 814.7 820.4 809.3
    X3 1896.7 2265.3 2859.1 3258.4 3896.4
    X4 4587.6 5247.4 5035.9 6254.6 8529.4
    X5 50.24 56.1 63.58 80.47 94.6
    X6 44.8 45.1 46.2 45.1 47.5
    X7 1258.7 1632.9 1845.1 1965.4 2154.8
    X8 2856.4 3021.6 3564.9 3458.2 3874.2
    X9 1045.9 1296.5 1358.4 1585.4 1478.7
    X10 2689.7 2897.4 3025.4 3024.6 3154.9
    X11 11.25 12.58 13.62 12.94 14.38
    X12 5.84 4.62 4.78 4.32 3.74
    X13 2.23 1.98 1.74 1.62 1.47
    X14 7.56 8.14 8.56 9.21 9.76
    X15 42589 52874 56987 62547 78451
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