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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Ray, Sagar / Ng, Kelvin Tsun Wai / Mahmud, Tanvir Shahrier / Richter, Amy / Karimi, Nima (2024): Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery. In: Sustainable Cities and Society, v. 105 (June 2024).

    https://doi.org/10.1016/j.scs.2024.105351

  2. Mahmud, Tanvir S. / Ng, Kelvin Tsun Wai / Karimi, Nima / Adusei, Kenneth K. / Pizzirani, Stefania (2022): Evolution of COVID-19 municipal solid waste disposal behaviors using epidemiology-based periods defined by World Health Organization guidelines. In: Sustainable Cities and Society, v. 87 (December 2022).

    https://doi.org/10.1016/j.scs.2022.104219

  3. Adusei, Kenneth K. / Ng, Kelvin Tsun Wai / Mahmud, Tanvir S. / Karimi, Nima / Lakhan, Calvin (2022): Exploring the use of astronomical seasons in municipal solid waste disposal rates modeling. In: Sustainable Cities and Society, v. 86 (November 2022).

    https://doi.org/10.1016/j.scs.2022.104115

  4. Karimi, Nima / Ng, Kelvin Tsun Wai / Richter, Amy (2022): Development of a regional solid waste management framework and its application to a prairie province in central Canada. In: Sustainable Cities and Society, v. 82 (July 2022).

    https://doi.org/10.1016/j.scs.2022.103904

  5. Karimi, Nima / Ng, Kelvin Tsun Wai / Richter, Amy (2021): Prediction of fugitive landfill gas hotspots using a random forest algorithm and Sentinel-2 data. In: Sustainable Cities and Society, v. 73 (October 2021).

    https://doi.org/10.1016/j.scs.2021.103097

  6. Richter, Amy / Ng, Kelvin Tsun Wai / Karimi, Nima / Chang, Wonjae (2021): Developing a novel proximity analysis approach for assessment of waste management cost efficiency in low population density regions. In: Sustainable Cities and Society, v. 65 (February 2021).

    https://doi.org/10.1016/j.scs.2020.102583

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