IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i24p4924-d294502.html
   My bibliography  Save this article

PM 2.5 Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan

Author

Listed:
  • Widya Liadira Kusuma

    (Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia)

  • Wu Chih-Da

    (Department of Geomatics, National Cheng Kung University, Tainan 70101, Taiwan)

  • Zeng Yu-Ting

    (National Health Research Inst., No. 35, Keyan Rd, Zhunan, Miaoli County 35053, Taiwan)

  • Handayani Hepi Hapsari

    (Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia)

  • Jaelani Lalu Muhamad

    (Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia)

Abstract

Air pollution has emerged as a significant health, environmental, economic, and social problem all over the world. In this study, geospatial technologies coupled with a LUR (Land Use Regression) approach were applied to assess the spatial-temporal distribution of fine particulate (PM 2.5 ). In-situ observations of air pollutants from ground monitoring stations from 2016–2018 were used as dependent variables, while the land-use/land cover, a NDVI (Normalized Difference Vegetation Index) from a MODIS sensors, and meteorology data allocations surrounding the monitoring stations from 0.25–5 km buffer ranges were collected as spatial predictors from GIS and remote sensing databases. A linear regression method was developed for the LUR model and 10-fold cross-validation was used to assess the model robustness. The R 2 model obtained was 56% for DKI Jakarta, Indonesia, and 83% for Taipei Metropolis, Taiwan. According to the results of the PM 2.5 model, the essential predictors for DKI Jakarta were influenced by temperature, NDVI, humidity, and residential area, while those for the Taipei Metropolis region were influenced by PM 10 , NO 2 , SO 2 , UV, rainfall, spring, main road, railroad, airport, proximity to airports, mining areas, and NDVI. The validation of the results of the estimated PM 2.5 distribution use 10-cross validation with indicated R 2 values of 0.62 for DKI Jakarta and 0.84 for Taipei Metropolis. The results of cross-validation show the strength of the model.

Suggested Citation

  • Widya Liadira Kusuma & Wu Chih-Da & Zeng Yu-Ting & Handayani Hepi Hapsari & Jaelani Lalu Muhamad, 2019. "PM 2.5 Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan," IJERPH, MDPI, vol. 16(24), pages 1-12, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:4924-:d:294502
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/24/4924/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/24/4924/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Longxiang Li & Jianhua Gong & Jieping Zhou, 2014. "Spatial Interpolation of Fine Particulate Matter Concentrations Using the Shortest Wind-Field Path Distance," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-10, May.
    2. Seung-Hoon Park & Dong-Won Ko, 2018. "Investigating the Effects of the Built Environment on PM 2.5 and PM 10 : A Case Study of Seoul Metropolitan City, South Korea," Sustainability, MDPI, vol. 10(12), pages 1-11, December.
    3. Haiou Yang & Wenbo Chen & Zhaofeng Liang, 2017. "Impact of Land Use on PM 2.5 Pollution in a Representative City of Middle China," IJERPH, MDPI, vol. 14(5), pages 1-14, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lili Guo & Yuting Song & Mengqian Tang & Jinyang Tang & Bright Senyo Dogbe & Mengying Su & Houjian Li, 2022. "Assessing the Relationship among Land Transfer, Fertilizer Usage, and PM 2.5 Pollution: Evidence from Rural China," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    2. Shanyou Duan & Qian Liu & Dumei Jiang & Yulin Jiang & Yinzhi Lin & Ziying Gong, 2021. "Exploring the Joint Impacts of Natural and Built Environments on PM 2.5 Concentrations and Their Spatial Heterogeneity in the Context of High-Density Chinese Cities," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    3. Sungwan Son & Aya Elkamhawy & Choon-Man Jang, 2022. "Active Soil Filter System for Indoor Air Purification in School Classrooms," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    4. Mei Yang & Hong Fan & Kang Zhao, 2019. "PM 2.5 Prediction with a Novel Multi-Step-Ahead Forecasting Model Based on Dynamic Wind Field Distance," IJERPH, MDPI, vol. 16(22), pages 1-21, November.
    5. Chengming Li & Kuo Zhang & Zhaoxin Dai & Zhaoting Ma & Xiaoli Liu, 2020. "Investigation of the Impact of Land-Use Distribution on PM 2.5 in Weifang: Seasonal Variations," IJERPH, MDPI, vol. 17(14), pages 1-20, July.
    6. Jong In Baek & Yong Un Ban, 2020. "The Impacts of Urban Air Pollution Emission Density on Air Pollutant Concentration Based on a Panel Model," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    7. Wenbo Chen & Fuqing Zhang & Saiwei Luo & Taojie Lu & Jiao Zheng & Lei He, 2022. "Three-Dimensional Landscape Pattern Characteristics of Land Function Zones and Their Influence on PM 2.5 Based on LUR Model in the Central Urban Area of Nanchang City, China," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    8. Candace Berrett & William F. Christensen & Stephan R. Sain & Nathan Sandholtz & David W. Coats & Claudia Tebaldi & Hedibert F. Lopes, 2020. "Modeling sea‐level processes on the U.S. Atlantic Coast," Environmetrics, John Wiley & Sons, Ltd., vol. 31(4), June.
    9. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    10. Eunha Shin & Heungsoon Kim, 2019. "Benefit–Cost Analysis of Green Roof Initiative Projects: The Case of Jung-gu, Seoul," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    11. Binghui Yang & Ye Chen, 2021. "PM2.5 Pollutant Concentrations in Greenspaces of Nanjing Are High but Can Be Lowered with Environmental Planning," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    12. Bumseok Chun & Kwangyul Choi & Qisheng Pan, 2022. "Key determinants of particulate matter 2.5 concentrations in urban environments with scenario analysis," Environment and Planning B, , vol. 49(7), pages 1980-1994, September.
    13. Chunyi Li & Yilan Huang & Huanhuan Guo & Gaojie Wu & Yifei Wang & Wei Li & Lijuan Cui, 2019. "The Concentrations and Removal Effects of PM 10 and PM 2.5 on a Wetland in Beijing," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    14. Liadira Kusuma Widya & Chin-Yu Hsu & Hsiao-Yun Lee & Lalu Muhamad Jaelani & Shih-Chun Candice Lung & Huey-Jen Su & Chih-Da Wu, 2020. "Comparison of Spatial Modelling Approaches on PM 10 and NO 2 Concentration Variations: A Case Study in Surabaya City, Indonesia," IJERPH, MDPI, vol. 17(23), pages 1-15, November.
    15. Hyunjung Lee & Sookuk Park & Helmut Mayer, 2023. "Statistical Characteristics of Air Quality Index DAQx*-Specific Air Pollutants Differentiated by Types of Air Quality Monitoring Stations: A Case Study of Seoul, Republic of Korea," Sustainability, MDPI, vol. 15(11), pages 1-25, May.
    16. Seunghoon Park & Dongwon Ko, 2020. "A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes," IJERPH, MDPI, vol. 17(9), pages 1-18, April.
    17. Aya Elkamhawy & Choon-Man Jang, 2020. "Performance Evaluation of Hybrid Air Purification System with Vegetation Soil and Electrostatic Precipitator Filters," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    18. Ruiyuan Jiang & Changkun Xie & Zihao Man & Rebecca Zhou & Shengquan Che, 2023. "Effects of Urban Green and Blue Space on the Diffusion Range of PM 2.5 and PM 10 Based on LCZ," Land, MDPI, vol. 12(5), pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:4924-:d:294502. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.