Skip to main content
SpringerLink
Log in

Assessing the Effect of Open-Pit Mining Activities and Urbanization on Fine Particulate Matter Concentration by Using Remote Sensing Imagery: A Case Study in Binh Duong Province, Vietnam

  • Conference paper
  • First Online:
Advances in Geospatial Technology in Mining and Earth Sciences (GTER 2022)

Part of the book series: Environmental Science and Engineering ((ESE))

  • 313 Accesses

Abstract

Fine particulate matter (PM2.5) leads to respiratory and cardiovascular diseases. Nowadays, PM2.5 monitoring on a large scale is a significant concern. The study aims to estimate the PM2.5 concentrations and assess the effect of open-pit mining and urbanization on PM2.5 concentrations by using satellite observations and ground-based stations over Binh Duong province, Vietnam. Aerosol Optical Depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) and hourly data of PM2.5 concentrations, temperature, and relative humidity at ground-based stations in 2020 (May–December) are matched to establish the relationship between AOD and PM2.5. Linear regression and multiple linear regression methods show a good correlation with R = 0.806 and R = 0.817, respectively. The study applies both regression models to estimate the spatial distribution of monthly PM2.5 concentrations over Binh Duong province and validate with ground-based stations data (R = 0.878; RMSE = 6.62 µg/m3). The results show that the annual PM2.5 concentrations are high in the southern districts where it is densely populated and tend to decrease in the northern districts of which the highest are found in Di An (18.76 µg/m3) and Thuan An (18.76 µg/m3), the lowest is in Phu Giao (14.20 µg/m3). The study demonstrates that the development of urban built-up density and population density increases the contribution of fine particles. At the same time, open-pit mine areas are the main contribution of coarse particles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Franchini, M., Mannucci, P.M.: Impact on human health of climate changes. Eur. J. Int. Med. 26, 1–5 (2015)

    Article  Google Scholar 

  2. Kampa, M., Castanas, E.: Human health effects of air pollution. Environ. Pollut. 151, 362–367 (2008)

    Article  CAS  PubMed  Google Scholar 

  3. Tagaris, E., Liao, K.-J., DeLucia, A.J., Deck, L., Amar, P.: Russell AG: potential impact of climate change on air pollution-related human health effects. Environ. Sci. Technol. 43, 4979–4988 (2009)

    Article  ADS  CAS  PubMed  Google Scholar 

  4. Gu, H., Cao, Y., Elahi, E., Jha, S.K.: Human health damages related to air pollution in China. Environ. Sci. Pollut. Res. 26, 13115–13125 (2019)

    Article  Google Scholar 

  5. Zhao, D., Xin, J., Gong, C., Quan, J., Liu, G., Zhao, W., Wang, Y., Liu, Z., Song, T.: The formation mechanism of air pollution episodes in Beijing city: insights into the measured feedback between aerosol radiative forcing and the atmospheric boundary layer stability. Sci. Total Environ. 692, 371–381 (2019)

    Article  ADS  CAS  PubMed  Google Scholar 

  6. Zhao, D., Xin, J., Gong, C., Quan, J., Wang, Y., Tang, G., Ma, Y., Dai, L., Wu, X., Liu, G., Ma, Y.: The impact threshold of the aerosol radiative forcing on the boundary layer structure in the pollution region. Atmos. Chem. Phys. 21, 5739–5753 (2021)

    Article  ADS  CAS  Google Scholar 

  7. Lu, F., Xu, D., Cheng, Y., Dong, S., Guo, C., Jiang, X., Zheng, X.: Systematic review and meta-analysis of the adverse health effects of ambient PM2.5 and PM10 pollution in the Chinese population. Environ. Res. 136, 196–204 (2015)

    Google Scholar 

  8. Dominici, F., Peng, R.D., Bell, M.L., Pham, L., McDermott, A., Zeger, S.L., Samet, J.M.: Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 295, 1127–1134 (2006)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Lee, B.-J., Kim, B., Lee, K.: Air pollution exposure and cardiovascular disease. Toxicol. Res. 30, 71–75 (2014)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Al-Hemoud, A., Gasana, J., Al-Dabbous, A., Alajeel, A., Al-Shatti, A., Behbehani, W., Malak, M.: Exposure levels of air pollution (PM2.5) and associated health risk in Kuwait. Environ. Res. 179, 108730 (2019)

    Google Scholar 

  11. Liu, J.-H., Chen, Y.-F., Lin, T.-S., Lai, D.-W., Wen, T.-H., Sun, C.-H., Juang, J.-Y., Jiang, J.-A.: Developed urban air quality monitoring system based on wireless sensor networks. In: 2011 Fifth International Conference on Sensing Technology, pp. 549–554 (2011)

    Google Scholar 

  12. Li, J., Zhang, H., Chao, C.-Y., Chien, C.-H., Wu, C.-Y., Luo, C.H., Chen, L.-J., Biswas, P.: Integrating low-cost air quality sensor networks with fixed and satellite monitoring systems to study ground-level PM2.5. Atmos. Environ. 223, 117293 (2020)

    Google Scholar 

  13. Lin, C., Labzovskii, L.D., Leung Mak, H.W., Fung, J.C.H., Lau, A.K.H., Kenea, S.T., Bilal, M., Vande Hey, J.D., Lu, X., Ma, J.: Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring. Atmos. Environ. 227, 117410 (2020)

    Google Scholar 

  14. Liu, Y., Paciorek, C.J., Koutrakis, P.: Estimating regional spatial and temporal variability of PM2.5 concentrations using satellite data, meteorology, and land use information. Environ. Health. Perspect. 117, 886–892 (2009)

    Google Scholar 

  15. Zelenka, A., Perez, R., Seals, R., Renné, D.: Effective accuracy of satellite-derived hourly irradiances. Theor. Appl. Climatol. 62, 199–207 (1999)

    Article  ADS  Google Scholar 

  16. Liu, Y., Sarnat, J.A., Kilaru, V., Jacob, D.J., Koutrakis, P.: Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. Environ. Sci. Technol. 39, 3269–3278 (2005)

    Google Scholar 

  17. Fu, D., Xia, X., Wang, J., Zhang, X., Li, X., Liu, J.: Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing. Sci. Rep. 8,10174 (2018)

    Google Scholar 

  18. Wang, W., Mao, F., Pan, Z., Du, L., Gong, W.: Validation of VIIRS AOD through a comparison with a sun photometer and MODIS AODs over Wuhan. Remote. Sens. 9, 403 (2017)

    Article  ADS  CAS  Google Scholar 

  19. Wang, X., Sun, W., Zheng, K., Ren, X., Han, P.: Estimating hourly PM2.5 concentrations using MODIS 3 km AOD and an improved spatiotemporal model over Beijing-Tianjin-Hebei, China. Atmos. Environ. 222, 117089 (2020)

    Google Scholar 

  20. Hu, Z.: Spatial analysis of MODIS aerosol optical depth, PM2.5, and chronic coronary heart disease. Int. J. Health. Geogr. 8, 27 (2009)

    Google Scholar 

  21. Ni, X., Cao. C., Zhou, Y., Cui, X., Singh, P.R.: Spatio-temporal pattern estimation of PM2.5 in Beijing-Tianjin-Hebei region based on MODIS AOD and meteorological data using the back propagation neural network. Atmos. 9, 105 (2018)

    Google Scholar 

  22. He, Q., Huang, B.: Satellite-based mapping of daily high-resolution ground PM2.5 in China via space-time regression modeling. Remote. Sens. Environ. 206, 72–83 (2018)

    Google Scholar 

  23. Mao, L., Qiu, Y., Kusano, C., Xu, X.: Predicting regional space–time variation of PM2.5 with land-use regression model and MODIS data. Environ. Sci. Pollut. Res. 19, 128–138 (2012)

    Google Scholar 

  24. Hu, H., Hu, Z., Zhong, K., Xu, J., Zhang, F., Zhao, Y., Wu, P.: Satellite-based high-resolution mapping of ground-level PM2.5 concentrations over East China using a spatiotemporal regression kriging model. Sci. Total. Environ. 672, 479–490 (2019)

    Google Scholar 

  25. Lee, H.J., Chatfield, R.B., Strawa, A.W.: Enhancing the applicability of satellite remote sensing for PM2.5 estimation using MODIS deep blue AOD and land use regression in California, United States. Environ. Sci. Technol. 50, 6546–6555 (2016)

    Google Scholar 

  26. You, W., Zang, Z., Zhang, L., Li, Y., Wang, W.: Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD. Environ. Sci. Pollut. Res. 23, 8327–8338 (2016)

    Article  CAS  Google Scholar 

  27. Đông, N., Phong, D.: Mối quan hệ thực nghiệm giữa PM2.5 và độ sâu quang học aerosol AOD ở khu vực nội thành Hà Nội. Vietnam J. Hydrometeorol. 718, 22–31 (2020)

    Google Scholar 

  28. Trà, T., Hiếu, N., Nguyen, D.: Đánh giá sự phân bố nồng độ bụi PM2.5 tại khu vực TP. HCM bằng công nghệ viễn thám–một số kết quả ban đầu. Vietnam J. Hydrometeorol. 721, 80–91 (2021)

    Google Scholar 

  29. Saksena, S., Fox, J., Spencer, J., Castrence, M., DiGregorio, M., Epprecht, M., Sultana, N., Finucane, M., Nguyen, L., Vien, T.D.: Classifying and mapping the urban transition in Vietnam. Appl. Geogr. 50, 80–89 (2014)

    Article  Google Scholar 

  30. Pham, H.M., Yamaguchi, Y.: Urban growth and change analysis using remote sensing and spatial metrics from 1975 to 2003 for Hanoi. Vietnam. Int. J. Remote. Sens. 32, 1901–1915 (2011)

    Article  ADS  Google Scholar 

  31. Nam, N.H.: Đánh giá ảnh hưởng của cơ cấu dân số và tình hình lao động đến thực hiện pháp luật của người dân trên địa bàn tỉnh Đồng Tháp (2021)

    Google Scholar 

  32. Miatto, A., Dawson, D., Nguyen, P.D., Kanaoka, K.S., Tanikawa, H.: The urbanisation-environment conflict: Insights from material stock and productivity of transport infrastructure in Hanoi. Vietnam. J. Environ. Manage. 294, 113007 (2021)

    Article  PubMed  Google Scholar 

  33. Schiappacasse, P., Müller, B., Linh, L.T.: Towards responsible aggregate mining in Vietnam. Resour. 8, 138 (2019)

    Article  Google Scholar 

  34. Li, G., Fang, C., Wang, S., Sun, S.: The effect of economic growth, urbanization, and industrialization on fine particulate matter (PM2.5) concentrations in China. Environ. Sci. Technol. 50, 11452–11459 (2016)

    Google Scholar 

  35. Thuy, V.T., Huyen, N.T., Tu, L.H., Loi, N.K.: Status of bamboos in Binh Duong province, Vietnam: distribution, species diversity, conservation and utilization. Trees, For. People. 6, 100137 (2021)

    Google Scholar 

  36. Long, N.V.: Strategic planning vision and some key directions for economic breakthroughs during 2021–2025 period: a study of binh duong-vietnam and smart city program. J. Archit. Plan. 20, 63–78 (2019)

    Google Scholar 

  37. Vuong, Q., Choi, S.-D., Bac, V., Thang, H., Hue, N., Lan, T., Duong, H., Tuyen, T., Thang, P.: Spatial and temporal variations of the PM2.5 concentrations in Hanoi metropolitan area, Vietnam, during the COVID-19 lockdown. Int. J. Environ. Anal. Chem. 1–13 (2021)

    Google Scholar 

  38. Alias, M., Hamzah, Z., Kenn, L.: PM10 and total suspended particulates (TSP) measurement in various power stations. Malays. J. Anal. Sci. 11(1), 255–261 (2007)

    Google Scholar 

  39. General Statistics Office of Vietnam. https://www.gso.gov.vn/

  40. Zhang, Y., Odeh, I.O.A., Han, C.: Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. Int. J. Appl. Earth. Obs. Geoinf. 11, 256–264 (2009)

    ADS  Google Scholar 

  41. Liaw, J.-J., Huang, Y.-F., Hsieh, C.-H., Lin, D.-C., Luo, C.-H.: PM2.5 concentration estimation based on image processing schemes and simple linear regression. Sensors. 20, 2423 (2020)

    Google Scholar 

  42. Yuan, S., Li, Y., Gao, J., Bao. F.: A new coupling method for PM2.5 concentration estimation by the satellite-based semiempirical model and numerical model. Remote Sens. 14, 2360 (2022)

    Google Scholar 

  43. Lennartson, E.M., Wang, J., Gu, J., Castro Garcia, L., Ge, C., Gao, M., Choi, M., Saide, P.E., Carmichael, G.R., Kim, J., Janz, S.J.: Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-chem model. Atmos. Chem. Phys. 18, 15125–15144 (2018)

    Google Scholar 

  44. Jeong, J.I., Park, R.J., Yeh, S.-W., Roh, J.-W.: Statistical predictability of wintertime PM2.5 concentrations over East Asia using simple linear regression. Sci. Total. Environ. 776, 146059 (2021)

    Google Scholar 

  45. World Health Organization: WHO global air quality guidelines: particulate matter (PM2.5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide (2005)

    Google Scholar 

  46. Yao, F., Wu, J., Li, W., Peng, J.: A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China. ISPRS J. Photogramm. Remote Sens. 151, 263–276 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hanoi University of Civil Engineering, Hanoi, 100000, Vietnam

    Thanh Dong Khuc, Dinh Trong Tran & Hien Quang Pham

  2. Hanoi University of Mining and Geology, Hanoi, 100000, Vietnam

    Long Quoc Nguyen, Dinh Trong Tran, Dinh Trong Tran & Van Anh Tran

  3. National Academy of Public Administration, Hanoi, 100000, Vietnam

    Quynh Nga Nguyen

  4. Hanoi University of Natural Resources and Environment, Hanoi, 100000, Vietnam

    Xuan Quang Truong

  5. Innovations for Sustainable and Responsible Mining (ISRM) Research Group, Hanoi University of Mining and Geology, Hanoi, 100000, Vietnam

    Long Quoc Nguyen & Van Anh Tran

Authors
  1. Thanh Dong Khuc
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Long Quoc Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dinh Trong Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Van Anh Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Quynh Nga Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xuan Quang Truong
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Hien Quang Pham
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dinh Trong Tran .

Editor information

Editors and Affiliations

  1. Department of Mine Surveying, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Long Quoc Nguyen

  2. Department of Geodesy, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Luyen Khac Bui

  3. Department of Surface Mining, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Xuan-Nam Bui

  4. Department of Geology, Hanoi University of Mining and Geology, Hanoi, Vietnam

    Hai Thanh Tran

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khuc, T.D. et al. (2023). Assessing the Effect of Open-Pit Mining Activities and Urbanization on Fine Particulate Matter Concentration by Using Remote Sensing Imagery: A Case Study in Binh Duong Province, Vietnam. In: Nguyen, L.Q., Bui, L.K., Bui, XN., Tran, H.T. (eds) Advances in Geospatial Technology in Mining and Earth Sciences. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-20463-0_5

Download citation

Publish with us

Policies and ethics

Search

Navigation