A study of thermal controls in rapidly developing city using remotely sensed satellite data: spatiotemporal perspective

• Autorzy: Mahmood Khalid , Raza Syed Ahmed , Fatima Syeda Yuman

Identyfikatory

DOI

10.1007/s11600-020-00535-9

• Języki publikacji: EN

Abstrakty

EN

The unsusual rise in the land surface temperature is playing a vital role toward the rapid and intense changes in global climate. Occurrence of certain land use land cover and alternative changes in them is the prime cause of bringing extreme changes in temperature. In this research, using 30-year long time series (1988–2018) data from Landsat satellites for understanding relation of mean temperature with the two largest and main controlling land use classes (vegetation and built-up) in a rapidly urbanizing district, Lahore. For this purpose, multivariate statistical approaches of scatter plot and correlation coefcient were employed. Temperatures, vegetative and built-up areas were derived using a combination of diferent spatiotemporal tools in a specifcally designed model. Critical analysis suggests breaking up of investigation timeline in two portions based on changing trend. A 23-year period from 1989 to 2011 (Temporal Window-1) and a 6-year period from 2013 to 2018 (Temporal Window-2) were tested separately for the same arguments. Vegetative area showed an increase throughout the temporal window-1 and then a rapid decrease from 2013 to 2018, while built-up area and mean temperature presented an ever-increasing trend during both temporal windows but with much higher rates in second window. Correlation of tempera ture with the both the investigated thermal controls has found getting strong in Temporal Window-2 showing that relation of these landcover areas with temeperature is not linear and severity is increasing with time. Moreover, temperature is found to be strongly dependent upon changes in built-up areas than that of vegetative areas. So, an increase in built-up area has much more devastating efects over the temperature rather than decrease in vegetative area. It was concluded that Lahore district is contributing in global warming more rapidly than it had ever done before.

Słowa kluczowe

EN

land surface temperature; thermal control; urban sprawl; correlation; land use-land cover

PL

temperatura powierzchni ziemi; kontrola termiczna; suburbanizacja; korelacja

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2021
• Tom: Vol. 69, no. 1
• Strony: 365--379
• Opis fizyczny: Bibliogr. 37 poz.

Twórcy

autor

Mahmood Khalid

• Remote Sensing, GIS and Climatic Research lab (National center for GIS and Space Applications), Department of Space Science, University of the Punjab, Lahore, Pakistan

• https://orcid.org/0000-0002-7327-8308

autor

Raza Syed Ahmed

• Department of Space Science, University of the Punjab, Lahore, Pakistan

autor

Fatima Syeda Yuman

• Remote Sensing, GIS and Climatic Research lab (National center for GIS and Space Applications), Department of Space Science, University of the Punjab, Lahore, Pakistan

Bibliografia

• 1. Atlas R, Wolfson N, Terry J (1993) The effect of SST and soil moisture anomalies on GLA model simulations of the 1988 U.S. summer drought. J Clim 6:2034–2048
• 2. Bonan GB (1997) Effects of land use on the climate of the United States. Clim Change 37:449–486
• 3. Chase TN, Pielke RA, Kittel TGF, Neimani RR, Running SW (2000) Simulated impacts of historical land cover changes on global climate in northern winter. Clim Dyn 16:93–10
• 4. Coutts AM, Beringer J, Tapper NJ (2007) Impact of increasing urban density on local climate: spatial and temporal variations in the surface energy balance in Melbourne, Australia. J Appl Meteorol Climatol 46:477–493
• 5. Glanville K, Chang HC (2015) Remote sensing analysis techniques and sensor requirements to support the mapping of illegal domestic waste disposal sites in Queensland, Australia. Remote Sensing 7:13053–13069
• 6. Haigh JD (1994) The role of stratospheric ozone in modulating the solar radiative forcing of climate. Nature 370:544–546
• 7. Harvey LD (2000) Global warming. Pearson Education Limited, India
• 8. Ibrahim GRF (2017) Urban land use land cover changes and their effect on land surface temperature: case study using Dohuk City in the Kurdistan region of Iraq. Climate 5:13
• 9. Imran M, Mehmood A (2020) Analysis and mapping of present and future drivers of local urban climate using remote sensing: a case of Lahore. Pak Arab J Geosci 13:278
• 10. Jimenez-Munoz JC, Sobrino JA (2003) A generalized single-channel method for retrieving land surface temperature from remote sensing data. J Geophys Res 108(D22):4688–4694
• 11. Khalil M, Mazhar N, Shirazi SA, Javid K (2018) Impact analysis of vegetation cover on land surface temperature (LST) at Lakhodair landfill and Mehmood Booti open dump site of Lahore. Pak Int J Biosci 13(5):263–277
• 12. Khandan R, Gholamnia M, Duan SB, Ghadimi M, Alavipanah SK (2018) Characterization of maximum land surface temperatures in 16 years from MODIS in Iran. Environ Earth Sci 77:450
• 13. Mahmood K, Rana AD, Tariq S, Kanwal S, Ali R, Ali AH, Tahseen T (2013) Groundwater levels susceptibility to degradation in Lahore metropolitan. Sci Int 25(1):123–126
• 14. Mahmood K, Batool SA, Muhammod N (2016) Studying bio-thermal effects at and around SWM dumps using remote sensing and GIS. Waste Manag 55:118–128
• 15. Mahmood K, Batool A, Faizi F, Chaudhry MN, Ul-Haq Z, Rana AD, Tariq S (2017) Bio-thermal effects of open dumps on surroundings detected by remote sensing-Influence of geographical conditions. Ecol Ind 82:131–142
• 16. Mahmood K, Ul-Haq Z, Faizi F, Tariq S, Muhammad AN, Rana AD (2019) Monitoring open dumping of municipal waste in Gujranwala, Pakistan using a combination of satellite based bio-indicators and GIS analysis. Ecol Ind 107:105613
• 17. Mahmood K, Qaiser A, Farooq S, Nisa M (2020) RS- and GIS-based modeling for optimum site selection in rain water harvesting system: an SCS-CN approach. Acta Geophys 68:1175–1185
• 18. Manzo C, Mei A, Zampetti E, Bassani C, Paciucci L, Manetti P (2017) Top-down approach from satellite to terrestrial rover application for environmental monitoring of landfills. Sci Total Environ 584–585:1333–1348
• 19. Mittal DV (2012) The global warming. Oxford Book Company, Jaipur New Dehli
• 20. Mysak LA, Manak DK, Marsden RF (1990) Arctic sea-ice extent and anomalies 1953–1984 and their relation to an intedecadal arctic climate cycle. Climate Dyn 5:111–133
• 21. Nasar-u-Minallah M (2018) Spatial and temporal change assessment in land surface temperature of lahore using GIS and remote sensing techniques. Proc Pak Acad Sci Phys Comput Sci 55(3):67–75
• 22. Nasar-u-Minallah M (2019) Retrieval of land surface temperature of Lahore through Landsat-8 TIRS data. Int J Econ Environ Geol 10(1):70–77
• 23. Qin Z, Karnieli A, Berliner P (2001) A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. Int J Remote Sens 22(18):3719–3746
• 24. Rajeshwari A, Mani ND (2014) Estimation of land surface temperature of Dindigul district using Landsat 8 data. Int J Res Eng Technol 3(5):122–126
• 25. Rehman ZU, Kazmi SJ, Khanum F, Samoon ZA (2015) Analysis of land surface temperature and NDVI using geo-spatial technique: a case study of Keti Bunder, Sindh, Pakistan. J Basic Appl Sci 11:514–527
• 26. Riebeek H (2010). Global warming. NASA earth’s observatory. https://earthobservatory.nasa.gov/features/GlobalWarming. Accessed 15 Feb 2020
• 27. Robock A, Mao J (1995) The volcanic signal in surface temperature observations. J Clim 8:1086–1103
• 28. Sagan C, Toon OB, Pollak JB (1997) Anthropogenic Albedo changes and Earth`s climate. Science 206(4425):1363–1368
• 29. Shah B, Ghauri B (2015) Mapping urban heat island effect in comparison with the land use, land cover of Lahore district. Pak J Meteorol 11(22):37–48
• 30. Shirazi SA, Kazmi JH (2016) Analysis of socio-environmental impacts of the loss of urban trees and vegetation in Lahore, Pakistan: a review of public perception. Ecol Process 5(1):5
• 31. Slonecker T, Fisher GB, Aiello DP, Haack B (2010) Visible and infrared remote imaging of hazardous waste: a review. Remote Sens 2(11):2474–2508
• 32. Sobrino JA, Li ZL, Stoll MP, Becker F (1996) Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data. Int J Remote Sens 17(11):2089–2114
• 33. Stefanov W L, Brazel A J (2007). Challenges in characterizing and mitigating urban heat islands—a role for integrated approaches including remote sensing. applied remote sensing for urban planning, governance and sustainability. Springer, Berlin, Heidelberg, pp 117–135
• 34. Sun Q, Tan J, Xu Y (2009) An ERDAS image processing method for retrieving LST and describing urban heat evolution: a case study in the Pearl River Delta Region in South China. Environ Earth Sci 59:1047–1055
• 35. Yan WY, Mahendrarajah P, Shaker A, Faisal K, Luong R, Al-Ahmad M (2014) Analysis of multi-temporal Landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites. Environ Monit Assess 186(12):1861–1873
• 36. Zaman UK (2012) Urbanization of arable land in Lahore city in Pakistan; a case study. Eur J Sustain Dev 1(1):69–83
• 37. Zhou X, Wang YC (2010) Dynamics of land surface temperature in response to land-use/cover change. Geogr Res 49:23–36

Uwagi

Korekta do artykułu w Acta Geophisica Vol. 69, no. 2. Nr DOI korekty: 10.1007/s11600-021-00545-1