Investigation of land surface temperature heterogeneity in municipal landfills by satellite images

Sedat YALÇINKAYA, (Marmara Üniversitesi, Çevre Mühendisliği Bölümü, İstanbul, Türkiye)
Fatih DOĞAN (İzmir Katip Çelebi Üniversitesi, Kentsel Dönüşüm Bölümü, İzmir, Türkiye)
Environmental Research & Technology
2 0
Yıl: 2023 Cilt: 6 Sayı: 4 Sayfa Aralığı: 359 - 370 Metin Dili: İngilizce DOI: 10.35208/ert.1353244 İndeks Tarihi: 14-12-2023

Investigation of land surface temperature heterogeneity in municipal landfills by satellite images

Öz:
With the increasing population and urbanization, the amount of municipal solid waste (MSW) is increasing day by day. As a result, problems such as odor, fire, and intense biogas formation originate from landfills. In order to detect and solve these problems, landfills should be monitored regularly. Geographic Information Systems (GIS) and Remote Sensing offer fast and practical solutions for the regular monitoring of landfills compared to field studies. In this study, Kömürcüoda landfill on the Anatolian side of Istanbul is monitored throughout 2022 with open source Landsat8/9 and Sentinel-2 satellite images. In this context, the surface temperature heterogeneity of the landfill was mapped by generating Land Surface Temperature (LST) images for the landfill from the Landsat thermal band. Points with statistically significant high - low LST values were determined with Hot Spot Analysis. The average annual LST for 2022 was calculated as 25.5 °C. It was observed that LST had the highest values during the summer season and the lowest values during the winter season. Additionally, it has been determined that there are persistent hot spots and cold spots in the landfill. This study presents a simple methodology using open source satellite data to monitor LST and detect LST abnormalities on landfills.
Anahtar Kelime: Waste management land surface temperature landfill GIS satellite imagery

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] M. C. Höke, and S. Yalcinkaya, “Municipal solid waste transfer station planning through vehicle routing problem-based scenario analysis,” Waste Management & Research, Vol. 39(1), pp. 185–196, 2021. [CrossRef]
  • [2] S. Yalcinkaya, “A spatial modeling approach for siting, sizing and economic assessment of central- ized biogas plants in organic waste management,” Journal of Cleaner Production, Vol. 255, Article 120040, 2020. [CrossRef]
  • [3] S. Yalcinkaya, and O. S. Kirtiloglu, “Application of a geographic information system-based fuzzy an- alytic hierarchy process model to locate potential municipal solid waste incineration plant sites: A case study of Izmir Metropolitan Municipality,” Waste Management & Research, Vol. 39(1), pp. 174–184, 2021. [CrossRef]
  • [4] T. Bayram, Y. A. Arhun, and S. Tirink, “An Evalua- tion of Solid Waste Management in Turkey,” Black Sea Journal of Engineering and Science, Vol. 2(3), pp. 88–91, 2019. [CrossRef]
  • [5] A. Sağlık, Y. S. Domaç, Ş. N. Reyhan, F. Avcı, F. Kartal, and D. Şenkuş, “Improvement and analysis of solid waste landfills example of Çanakkale On- sekiz Mart University,” Academia Journal of Na- ture and Human Sciences, Vol 7(1), pp. 105–125, 2021.
  • [6] S. Yalçınkaya, F. Doğan, and H. İ. Kaleli, “Investi- gation of waste fires and spatial accessibility of fire stations in Izmir, Turkey,” Urban Academy, Vol. 15(2), pp. 727–741, 2022. [CrossRef]
  • [7] J. Kret, L. Dalidowitz Dame, N. Tutlam, R. W. De- Clue, S. Schmidt, K. Donaldson, R. Lewis, S. E. Rigdon, S. Davis, A. Zelicoff, C. King, Y. Wang, S. Patrick, and F. Khan, “A respiratory health survey of a subsurface smoldering landfill,” Environmen- tal Research, Vol. 166, pp. 427–436, 2018. [CrossRef]
  • [8] H. Şenol, E. A. Elibol, Ü. Açıkel, and M. Şenol, “Primary Biomass Sources for Biogas Production in Turkey,” BEU Journal of Science, Vol. 6(2), pp. 81–92, 2017. [CrossRef]
  • [9] Y. Korkmaz, S. Aykanat, and A. Çil, “Biogas and energy production from organic wastes,” SAÜ Fen Edebiyat Dergisi, SAU Journal of Science and Let- ters, Vol. 12, pp. 489–497, 2012.
  • [10] Turkish Statistical Institute, “Sera Gazı Emisyon İstatistikleri, 1990-2021,” 2023. https://data.tuik. gov.tr/Bulten/Index?p=Sera-Gazi-Emisyon-Istatis- tikleri-1990-2021-49672 Accessed on Jul 16, 2023.
  • [11] L. G. Papale, G. Guerrisi, D. De Santis, G. Schiavon, and F. Del Frate, “Satellite data potentialities in solid waste landfill monitoring: Review and case studies,” Sensors, Vol. 23(8), Article 3917, 2023. [CrossRef]
  • [12] K. Faisal, M. AlAhmad, and A. Shaker, “Remote sens- ing techniques as a tool for environmental monitor- ing,” The International Archives of the Photogramme- try, Remote Sensing and Spatial Information Sciences, Vol. XXXIX-B8, pp. 513–518, 2012. [CrossRef]
  • [13] H. Abu Qdais, and N. Shatnawi, “Assessing and pre- dicting landfill surface temperature using remote sensing and an artificial neural network,” Interna- tional Journal of Remote Sensing, Vol. 40(24), pp. 9556–9571, 2019. [CrossRef]
  • [14] L. Fjelsted, A. G. Christensen, J. E. Larsen, P. Kjeld- sen, and C. Scheutz, “Assessment of a landfill meth- ane emission screening method using an unmanned aerial vehicle mounted thermal infrared camera – A field study,” Waste Management, Vol. 87, pp. 893– 904, 2019. [CrossRef]
  • [15] R. Nazari, H. Alfergani, F. Haas, M. E. Karimi, M. G. Rabbani Fahad, S. Sabrin, J. Everett, N. Bouay- naya, and R. W. Peters, “Application of satellite re- mote sensing in monitoring elevated internal tem- peratures of landfills,” Applied Sciences, Vol. 10(19), Article 6801,2020.
  • [16] N. Karimi, K. T. W. Ng, A. Richter, J. Williams, and H. Ibrahim, “Thermal heterogeneity in the proxim- ity of municipal solid waste landfills on forest and agricultural lands,” Journal of Environmental Man- agement, Vol. 287, Article 112320, 2021.
  • [17] N. Karimi, K. T. W. Ng, and A. Richter, “Prediction of fugitive landfill gas hotspots using a random for- est algorithm and Sentinel-2 data,” Sustainable Cit- ies & Society, Vol. 73, Article 103097, 2021.
  • [18] A. Grondona, L. P. Gomes, L. M. Schiavo, M. Caeta- no, and B. J. B. L. Barbosa, “Use of the downscalling method in satellite images for the analysis of heat islands in landfills,” Remote Sensing Applications Society and Environment, Vol. 26, Article 100702, 2022.
  • [19] D. Chavan, G. S. Manjunatha, D. Singh, L. Periyas- wami, S. Kumar, and R. Kumar, “Estimation of spon- taneous waste ignition time for prevention and con- trol of landfill fire,” Waste Management, Vol. 139, pp. 258–268, 2022.
  • [20] K. Mahmood, F. Faizi, and F. Mushtaq, “Satellite based bio-thermal impact insights into MSW open dumps: a pair-unified proximity scenario,” Geomat- ics, Natural Hazards & Risk, Vol. 13(1), pp. 667–685, 2022.
  • [21] Turkish Statistical Institute, “Adrese Dayalı Nüfus Kayıt Sistemi Sonuçları, 2022,” 2023. https://data. tuik.gov.tr/Bulten/Index?p=Adrese-Dayali-Nu- fus-Kayit-Sistemi-Sonuclari-2022-49685 Accessed on Jul 22, 2023.
  • [22] Istanbul Metropolitan Municipality, “Düzenli De- polama,” 2023. http://istac.ssplab.com/tr/temiz-is- tanbul/evsel-atiklar/duzenli-depolama Accessed on Jul 22, 2023.
  • [23] Istanbul Metropolitan Municipality, “Faaliyet Hari- tası,” 2023.
  • [24] Istanbul Governorship, “İklim.” http://www.istan- bul.gov.tr/iklim-istanbul Accessed Sep 22, 2023.
  • [25] USGS, “Landsat Satellite Missions,” 2023. https:// www.usgs.gov/landsat-missions/landsat-satel- lite-missions Accessed on Jul 19, 2023.
  • [26] J. Guo, H. Ren, Y. Zheng, S. Lu, and J. Dong, “Eval- uation of land surface temperature retrieval from landsat 8/TIRS images before and after stray light correction using the SURFRAD dataset,” Remote Sensing, Vol. 12(6), Article 1023, 2020.
  • [27] USGS, “EarthExplorer,” 2023. https://earthexplorer. usgs.gov/ Accessed on Jul 19, 2023.
  • [28] ESA, “Open Access Hub,” 2023. https://scihub.co- pernicus.eu/ Accessed on Jul 21, 2023.
  • [29] USGS, “Landsat 8-9 Collection 2 Level 2 Science Product Guide,” 2023. https://www.usgs.gov/media/ files/landsat-8-9-collection-2-level-2-science-prod- uct-guide Accessed on Jul 24, 2023.
  • [30] ESRI, “How Hot Spot Analysis (Getis-Ord Gi*) works,” 2023. https://pro.arcgis.com/en/pro-app/ latest/tool-reference/spatial-statistics/h-how-hot- spot-analysis-getis-ord-gi-spatial-stati.htm Ac- cessed on Jul 26, 2023.
  • [31] ESRI, “What is a z-score? What is a p-value?” https:// pro.arcgis.com/en/pro-app/latest/tool-reference/ spatial-statistics/what-is-a-z-score-what-is-a-p-val- ue.htm Accessed on Sep 23, 2023.
  • [32] S. Yalcinkaya, and Y. Ruhbas, “Spatiotemporal anal- ysis framework for identifying emerging hot spots and energy potential from livestock manure in Tur- key,” Renewable Energy, Vol. 193, pp. 278–287, 2022.
  • [33] S. Kartal, and A. Sekertekin, “Prediction of MODIS land surface temperature using new hybrid models based on spatial interpolation techniques and deep learning models,” Environmental Science and Pollu- tion Research, Vol. 29(44), pp. 67115–67134, 2022.
APA YALCINKAYA S, Doğan F (2023). Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. , 359 - 370. 10.35208/ert.1353244
Chicago YALCINKAYA SEDAT,Doğan Fatih Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. (2023): 359 - 370. 10.35208/ert.1353244
MLA YALCINKAYA SEDAT,Doğan Fatih Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. , 2023, ss.359 - 370. 10.35208/ert.1353244
AMA YALCINKAYA S,Doğan F Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. . 2023; 359 - 370. 10.35208/ert.1353244
Vancouver YALCINKAYA S,Doğan F Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. . 2023; 359 - 370. 10.35208/ert.1353244
IEEE YALCINKAYA S,Doğan F "Investigation of land surface temperature heterogeneity in municipal landfills by satellite images." , ss.359 - 370, 2023. 10.35208/ert.1353244
ISNAD YALCINKAYA, SEDAT - Doğan, Fatih. "Investigation of land surface temperature heterogeneity in municipal landfills by satellite images". (2023), 359-370. https://doi.org/10.35208/ert.1353244
APA YALCINKAYA S, Doğan F (2023). Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. Environmental Research & Technology, 6(4), 359 - 370. 10.35208/ert.1353244
Chicago YALCINKAYA SEDAT,Doğan Fatih Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. Environmental Research & Technology 6, no.4 (2023): 359 - 370. 10.35208/ert.1353244
MLA YALCINKAYA SEDAT,Doğan Fatih Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. Environmental Research & Technology, vol.6, no.4, 2023, ss.359 - 370. 10.35208/ert.1353244
AMA YALCINKAYA S,Doğan F Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. Environmental Research & Technology. 2023; 6(4): 359 - 370. 10.35208/ert.1353244
Vancouver YALCINKAYA S,Doğan F Investigation of land surface temperature heterogeneity in municipal landfills by satellite images. Environmental Research & Technology. 2023; 6(4): 359 - 370. 10.35208/ert.1353244
IEEE YALCINKAYA S,Doğan F "Investigation of land surface temperature heterogeneity in municipal landfills by satellite images." Environmental Research & Technology, 6, ss.359 - 370, 2023. 10.35208/ert.1353244
ISNAD YALCINKAYA, SEDAT - Doğan, Fatih. "Investigation of land surface temperature heterogeneity in municipal landfills by satellite images". Environmental Research & Technology 6/4 (2023), 359-370. https://doi.org/10.35208/ert.1353244
Sayfa Oluşturulma Tarihi
13-05-2024 12:49

İLETİŞİM

TÜBİTAK ULAKBİM TR Dizin

Yüzüncüyıl, İşçi Blokları Mahallesi

Muhsin Yazıcıoğlu Caddesi No:51/C

06530 Çankaya / ANKARA +90 (312) 298 92 00

trdizin@tubitak.gov.tr

TÜBİTAK ULAKBİM Ulusal Akademik Ağ ve Bilgi Merkezi Cahit Arf Bilgi Merkezi © Tüm Hakları Saklıdır. Gizlilik Politikası Kullanım Şartları