Investigating a Potential Map of PM2.5 Air Pollution and Risk for Tourist Attractions in Hsinchu County, Taiwan

被引:3
|
作者
Lin, Yuan-Chien [1 ,2 ]
Shih, Hua-San [1 ]
Lai, Chun-Yeh [1 ]
Tai, Jen-Kuo [1 ,3 ]
机构
[1] Natl Cent Univ, Dept Civil Engn, Taoyuan 32001, Taiwan
[2] Natl Cent Univ, Res Ctr Hazard Mitigat & Prevent, Taoyuan 32001, Taiwan
[3] Hsinchu Cty Govt, Fire Bur, Zhubei City 30295, Hsinchu County, Taiwan
关键词
air pollution potential map; PM2.5; spatial analysis; tourist attractions; risk analysis; GIS; LONG-TERM EXPOSURE; AMBIENT AIR; METEOROLOGICAL CHARACTERISTICS; SOURCE APPORTIONMENT; WEATHER PATTERNS; HEALTH IMPACT; CLASSIFICATION; MORTALITY; TRANSPORT; DYNAMICS;
D O I
10.3390/ijerph17228691
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the past few years, human health risks caused by fine particulate matters (PM2.5) and other air pollutants have gradually received attention. According to the Disaster Prevention and Protection Act of Taiwan's Government enforced in 2017, "suspended particulate matter" has officially been acknowledged as a disaster-causing hazard. The long-term exposure to high concentrations of air pollutants negatively affects the health of citizens. Therefore, the precise determination of the spatial long-term distribution of hazardous high-level air pollutants can help protect the health and safety of residents. The analysis of spatial information of disaster potentials is an important measure for assessing the risks of possible hazards. However, the spatial disaster-potential characteristics of air pollution have not been comprehensively studied. In addition, the development of air pollution potential maps of various regions would provide valuable information. In this study, Hsinchu County was chosen as an example. In the spatial data analysis, historical PM2.5 concentration data from the Taiwan Environmental Protection Administration (TWEPA) were used to analyze and estimate spatially the air pollution risk potential of PM2.5 in Hsinchu based on a geographic information system (GIS)-based radial basis function (RBF) spatial interpolation method. The probability that PM2.5 concentrations exceed a standard value was analyzed with the exceedance probability method; in addition, the air pollution risk levels of tourist attractions in Hsinchu County were determined. The results show that the air pollution risk levels of the different seasons are quite different. The most severe air pollution levels usually occur in spring and winter, whereas summer exhibits the best air quality. Xinfeng and Hukou Townships have the highest potential for air pollution episodes in Hsinchu County (approximately 18%). Hukou Old Street, which is one of the most important tourist attractions, has a relatively high air pollution risk. The analysis results of this study can be directly applied to other countries worldwide to provide references for tourists, tourism resource management, and air quality management; in addition, the results provide important information on the long-term health risks for local residents in the study area.
引用
收藏
页码:1 / 24
页数:21
相关论文
共 50 条
  • [21] Impact of clean air action on PM2.5 pollution in China
    Zhang, Qiang
    Geng, Guannan
    SCIENCE CHINA-EARTH SCIENCES, 2019, 62 (12) : 1845 - 1846
  • [22] The Effect of Meteorological Conditions on PM10 and PM2.5 Pollution of the Air
    Radzka, Elzbieta
    Rymuza, Katarzyna
    ROCZNIK OCHRONA SRODOWISKA, 2019, 21 (01): : 611 - 628
  • [23] Potential Sources and Formations of the PM2.5 Pollution in Urban Hangzhou
    Wu, Jian
    Xu, Chang
    Wang, Qiongzhen
    Cheng, Wen
    ATMOSPHERE, 2016, 7 (08):
  • [24] Infiltration of Outdoor PM2.5 Pollution into Homes with Evaporative Coolers in Utah County
    Sonntag, Darrell B.
    Jung, Hanyong
    Harline, Royce P.
    Peterson, Tyler C.
    Willis, Selah E.
    Christensen, Taylor R.
    Johnston, James D.
    SUSTAINABILITY, 2024, 16 (01)
  • [25] Later-Life Exposure to Moderate PM2.5 Air Pollution and Life Loss of Older Adults in Taiwan
    Hwang, Jing-Shiang
    Hu, Tsuey-Hwa
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (06)
  • [26] Mutagenic properties of PM10 and PM2.5 air pollution in Wroclaw (Poland)
    Piekarska, K.
    ENVIRONMENTAL ENGINEERING III, 2010, : 67 - 73
  • [27] Modeling of PM10 and PM2.5 particulate matter air pollution in Poland
    Trapp, W.
    Paciorek, M.
    Paciorek, M. K.
    Juda-Rezler, K.
    Warchalowski, A.
    Reizer, M.
    ENVIRONMENTAL ENGINEERING III, 2010, : 97 - +
  • [28] Comparative Study of Air Pollution with PM2.5 and PM10 in Targu - Jiu
    Capatina, Camelia
    Simonescu, Claudia Maria
    Dadalau, Nicolae
    Cirtina, Daniela
    REVISTA DE CHIMIE, 2016, 67 (07): : 1247 - 1254
  • [29] Traffic costs of air pollution: the effect of PM2.5 on traffic violation
    Wang, Tao
    Wang, Yu
    Cui, Nan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (48) : 72699 - 72717
  • [30] A knowledge based approach for PM2.5 air pollution effects analysis
    Oprea, Mihaela
    Liu, Hai-Ying
    PROCEEDINGS OF THE 2016 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA), 2016,