Atmospheric environmental quality assessment method based on analytic hierarchy process

Wendai Lv; Siping Ji

doi:10.3934/dcdss.2019063

Article Contents

2019, Volume 12, Issue 4&5: 941-955. Doi: 10.3934/dcdss.2019063 open access

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Atmospheric environmental quality assessment method based on analytic hierarchy process

Wendai Lv^1, , and
Siping Ji^2,

1.
Kunming University of Science and Technology, Kunming 650000, China
2.
Yunnan Minzu University, Kunming 650000, China

* Corresponding author: Wendai Lv
* Corresponding author: Wendai Lv

Received: June 30, 2017

Revised: December 31, 2017

Published: March 2019

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

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Abstract

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.

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

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Figure 1. Index system for atmospheric environmental quality assessment

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Figure 2. Data flow of the analytic hierarchy process

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

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

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Figure 5. Index weight for the proposed index system

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Figure 6. Atmospheric environmental quality assessment results

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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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