Abstract
One of the major issues in postulating climate mitigation plans in cities is the lack of reliable quantitative climate data regarding city landscapes for climate models. Therefore, performing a climate-based classification of city landscapes is crucial for developing climate-sensitive urban planning strategies. This study aims to analyse the diurnal and nocturnal thermal characteristics of different local climate zones (LCZs) in Addis Ababa. A variety of cloud-free satellite images of Addis Ababa were utilized for mapping LCZs and land surface temperatures (LSTs), including daytime Sentinel Multispectral Imagery (Sentinel 2A), Landsat-8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), and nighttime Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). To perform climate-based classifications of urban and rural areas, we used the World Urban Database and Portal Tool (WUDAPT). The daytime and nighttime LST maps were derived from Landsat-8 and ASTER data to calculate surface urban heat island intensity (SUHII). Then, by developing the statistical relationship between LCZs and LSTs, we quantified the SUHII and explored the thermal characteristics of LCZs. The results showed that the differences in the dry seasonal average daytime and nighttime LST among LCZs are confirmed to be statistically significant. We also found the highest daytime SUHII in heavy industry (7.78 °C), followed by open high-rise (7.44 °C), and then compact low-rise open high-rise (6.51 °C), which indicates these LCZs have warm thermal characteristics. During the night, the LCZ 2 (compact mid-rise) had the highest SUHII. By contrast, LCZ A (dense trees) and LCZ G (water) were found to be the coolest zones during the day. The overall results acquired from this study can provide advanced insight about the thermal characteristics of different LCZs as well as suggest planning strategies for lessening local warming effects.
Similar content being viewed by others
Data availability
The raw or processed datasets analyzed during the current study are available from the corresponding author on reasonable request.
References
Addis TL, Birhanu BS, Italemahu TZ (2022) Effectiveness of Urban Climate Change Governance in Addis Ababa City Ethiopia. Urban Science 6(3):64. https://doi.org/10.3390/urbansci6030064
Alghamdi AS, Alzhrani AI, Alanazi HH (2021) Local Climate Zones and Thermal Characteristics in Riyadh City Saudi Arabia. Remote Sensing 13(22):4526. https://doi.org/10.3390/rs13224526
Al-Obaidi I, Rayburg S, Półrolniczak M, Neave M (2021) Assessing the impact of wind conditions on urban heat islands in large Australian cities. J Ecol Eng, 22(11), 1–15. https://doi.org/10.12911/22998993/142967
Arsiso BK, Tsidu GM, Stoffberg GH, Tadesse T (2017) Climate change and population growth impacts on surface water supply and demand of Addis Ababa, Ethiopia. Clim Risk Manag 18:21–33. https://doi.org/10.1016/j.crm.2017.08.004
Artis DA, Carnahan WH (1982) Survey of emissivity variability in thermography of urban areas. Remote Sens Environ 12(4):313–329. https://doi.org/10.1016/0034-4257(82)90043-8
Bechtel B, Alexander PJ, Beck C, Böhner J, Brousse O, Ching J ... Xu Y (2019) Generating WUDAPT Level 0 data–Current status of production and evaluation. Urban Clim. 27, 24–45
Bechtel B, Alexander PJ, Böhner J, Ching J, Conrad O, Feddema J ... Stewart I (2015) Mapping local climate zones for a worldwide database of the form and function of cities. ISPRS Intl J Geo-Inform, 4(1), 199–219. https://doi.org/10.3390/ijgi4010199
Cai M, Ren C, Xu Y, Lau KKL, Wang R (2017) Investigating the relationship between local climate zone and land surface temperature using an improved WUDAPT methodology–A case study of Yangtze River Delta, China. Urban Climate 24:485–502. https://doi.org/10.1016/j.uclim.2017.05.010
Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62(3):241–252. https://doi.org/10.1016/S0034-4257(97)00104-1
Chang Y, Xiao J, Li X, Middel A, Zhang Y, Gu Z, He S (2021) Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data. Remote Sens Environ 263:112544. https://doi.org/10.1016/j.rse.2021.112544
Chen Y, Zheng B, Hu Y (2020) Mapping local climate zones using ArcGIS-based method and exploring land surface temperature characteristics in Chenzhou China. Sustainability 12(7):2974. https://doi.org/10.3390/su12072974
Ching J, Mills G, Bechtel B, See L, Feddema J, Wang X, Ren C, Brousse O, Martilli A, Neophytou M, Mouzourides P, Stewart I, Hanna A, Ng E, Foley M, Alexander P, Aliaga D, Niyogi D, Shreevastava A, Bhalachandran P, Masson V, Hidalgo J, Fung J, Andrade M, Baklanov A, Dai W, Milcinski G, Demuzere M, Brunsell N, Pesaresi M, Miao S, Mu Q, Chen F, Theeuwes N (2018) WUDAPT: An urban weather, climate, and environmental modeling infrastructure for the Anthropocene. Bull Am Meteorol Soc 99(9):1907–1924. https://doi.org/10.1175/BAMS-D-16-0236.1
Chun B, Guhathakurta S (2017) The impacts of three-dimensional surface characteristics on urban heat islands over the diurnal cycle. Prof Geogr 69(2):191–202. https://doi.org/10.1080/00330124.2016.1208102
Dubbale DA, Tsutsumi J, Bendewald MJ (2010) Urban environmental challenges in developing cities: The case of Ethiopian Capital Addis Ababa. Intl J Environ Ecol Eng 4(6):164–169. https://doi.org/10.5281/zenodo.1079392
Estacio I, Babaan J, Pecson NJ, Blanco AC, Escoto JE, Alcantara CK (2019) GIS-based mapping of local climate zones using fuzzy logic and cellular automata. Int Arch Photogramm Remote Sens Spat Inf Sci 42:199–206. https://doi.org/10.5194/isprs-archives-XLII-4-W19-199-2019
Fan PY, He Q, Tao YZ (2023) Identifying research progress, focuses, and prospects of local climate zone (LCZ) using bibliometrics and critical reviews. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e14067
Feyisa GL, Dons K, Meilby H (2014) Efficiency of parks in mitigating urban heat island effect: An example from Addis Ababa. Landsc Urban Plan 123:87–95. https://doi.org/10.1016/j.landurbplan.2013.12.008
Grigoraș, G., & Urițescu, B. (2018). Spatial hotspot analysis of Bucharest’s urban heat island (UHI) using MODIS data. Annals of Valahia University of Targoviste. Geographical Series, 18(1), 14–22. https://doi.org/10.2478/avutgs-2018-0002
Guerri G, Crisci A, Messeri A, Congedo L, Munafò M, Morabito M (2021) Thermal summer diurnal hot-spot analysis: the role of local urban features layers. Remote Sensing 13(3):538. https://doi.org/10.3390/rs13030538
HeshmatMohajer HR, Ding L, Santamouris M (2022) Developing Heat Mitigation Strategies in the Urban Environment of Sydney. Australia Buildings 12(7):903. https://doi.org/10.3390/buildings12070903
Kriegler FJ (1969) Preprocessing transformations and their effects on multspectral recognition. In Proceedings of the Sixth International Symposium on Remote Sensing of Environment (pp. 97–131).
Luo F, Yang Y, Zong L, Bi X (2023) The interactions between urban heat island and heat waves amplify urban warming in Guangzhou, China: Roles of urban ventilation and local climate zones. Front Environ Sci 11:1084473
Mavrakou T, Polydoros A, Cartalis C, Santamouris M (2018) Recognition of thermal hot and cold spots in urban areas in support of mitigation plans to counteract overheating: application for Athens. Climate 6(1):16. https://doi.org/10.3390/cli6010016
Mohajerani A, Bakaric J, Jeffrey-Bailey T (2017) The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. J Environ Manage 197:522–538. https://doi.org/10.1016/j.jenvman.2017.03.095
Mora C, Dousset B, Caldwell IR, Powell FE, Geronimo RC, Bielecki CR, ... Trauernicht C (2017) Global risk of deadly heat. Nature climate change, 7(7), 501–506. https://doi.org/10.1038/nclimate3322
Ndossi MI, Avdan U (2016) Inversion of land surface temperature (LST) using Terra ASTER data: a comparison of three algorithms. Remote Sensing 8(12):993. https://doi.org/10.3390/rs8120993
O’Malley C, Kikumoto H (2022) An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture. Japan Architec Rev 5(4):728–739
Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11(5):1633–1644. https://doi.org/10.5194/hess-11-1633-2007
Perera NGR, Emmanuel R (2018) A “Local Climate Zone” based approach to urban planning in Colombo, Sri Lanka. Urban Climate 23:188–203. https://doi.org/10.1016/j.uclim.2016.11.006
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. https://doi.org/10.1080/01431160010006971
African Clean Cities Platform Secretariat. (2019). Africa solid waste management data book 2019. At https://africancleancities.org/assets/data/JICA_databook_EN_web_20191218.pdf
Shahfahad, Bindajam AA, Naikoo MW, Horo JP, Mallick J, Rihan M ... Rahman A (2023) Response of soil moisture and vegetation conditions in seasonal variation of land surface temperature and surface urban heat island intensity in sub-tropical semi-arid cities. Theoret Appl Climatol, 1–29. https://doi.org/10.1007/s00704-023-04477-2
Shi L, Ling F (2021) Local climate zone mapping using multi-source free available datasets on google earth engine platform. Land 10(5):454. https://doi.org/10.3390/land10050454
Shih WY, Ahmad S, Chen YC, Lin TP, Mabon L (2020) Spatial relationship between land development pattern and intra-urban thermal variations in Taipei. Sustain Cities Soc 62:102415. https://doi.org/10.1016/j.scs.2020.102415
Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004) Land surface temperature retrieval from LANDSAT TM 5. Remote Sens Environ 90(4):434–440. https://doi.org/10.1016/j.rse.2004.02.003
Stewart ID (2011) A systematic review and scientific critique of methodology in modern urban heat island literature. Int J Climatol 31(2):200–217. https://doi.org/10.1002/joc.2141
Stewart, I. D., & Oke, T. (2009, June). Classifying urban climate field sites by “local climate zones”: The case of Nagano, Japan. IN: Seventh International Conference on Urban Climate (Vol. 29).
Stewart ID, Oke TR (2012) Local climate zones for urban temperature studies. Bull Am Meteor Soc 93(12):1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1
Stewart ID, Oke TR, Krayenhoff ES (2014) Evaluation of the ‘local climate zone’scheme using temperature observations and model simulations. Int J Climatol 34(4):1062–1080. https://doi.org/10.1002/joc.3746
Voogt JA, Oke TR (2003) Thermal remote sensing of urban climates. Remote Sens Environ 86:370–384. https://doi.org/10.1016/S0034-4257(03)00079-8
Wheeler SM, Abunnasr Y, Dialesandro J, Assaf E, Agopian S, Gamberini VC (2019) Mitigating urban heating in dryland cities: A literature review. J Plan Lit 34(4):434–446. https://doi.org/10.1177/0885412219855779
Wilhelmi OV, Purvis KL, Harriss RC (2004) Designing a geospatial information infrastructure for mitigation of heat wave hazards in urban areas. Nat Hazard Rev 5(3):147–158. https://doi.org/10.1061/(ASCE)1527-6988
Worku H (2017) Integrating climate change adaptation strategies in urban planning and landscape design of Addis Ababa City, Ethiopia: Using urban planning and landscape design to mitigate flooding, drought, and urban heat island effects. Environ Qual Manage 27(1):5–21. https://doi.org/10.1002/tqem.21514
Xie J, Mito T (2021) Towards a Trash-Free Addis Ababa: Pathways for Sustainable, Climate-Friendly Solid Waste Management. Washington, DC. http://hdl.handle.net/10986/36746.
Xu C, Hystad P, Chen R, Van Den Hoek J, Hutchinson RA, Hankey S, Kennedy R (2021) Application of training data affects success in broad-scale local climate zone mapping. Int J Appl Earth Obs Geoinf 103:102482. https://doi.org/10.1016/j.jag.2021.102482
Xu X, Qiu W, Li W, Huang D, Li X, Yang S (2022) Comparing Satellite Image and GIS Data Classified Local Climate Zones to Assess Urban Heat Island: A Case Study of Guangzhou. Front Environ Sci, 2159. https://doi.org/10.3389/fenvs.2022.1029445
Yang J, Ren J, Sun D, Xiao X, Xia JC, Jin C, Li X (2021) Understanding land surface temperature impact factors based on local climate zones. Sustain Cities Soc 69:102818. https://doi.org/10.1016/j.scs.2021.102818
Yang J, Wang Y, Xiu C, Xiao X, Xia J, Jin C (2020) Optimizing local climate zones to mitigate urban heat island effect in human settlements. J Clean Prod 275:123767. https://doi.org/10.1016/j.jclepro.2020.123767
Zhang R, Yang J, Sun D, Ma X, Yu W, Xiao X, Xia JC (2022) Warming and cooling effects of local climate zones on urban thermal environment. Front Public Health 10:1072174. https://doi.org/10.3389/fpubh.2022.107217
Zhao C, Jensen JL, Weng Q, Currit N, Weaver R (2020) Use of Local Climate Zones to investigate surface urban heat islands in Texas. Gisci Remote Sens 57(8):1083–1101. https://doi.org/10.1080/15481603.2020.1843869
Zhao L, Oppenheimer M, Zhu Q, Baldwin JW, Ebi KL, Bou-Zeid E, ... Liu X (2018) Interactions between urban heat islands and heat waves. Environ Res Lett, 13(3), 034003. https://doi.org/10.1088/1748-9326/aa9f73
Zheng Y, Ren C, Xu Y, Wang R, Ho J, Lau K, Ng E (2018) GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong. Urban Climate 24:419–448. https://doi.org/10.1016/j.uclim.2017.05.008
Zipper SC, Schatz J, Kucharik CJ, Loheide SP (2017) Urban heat island-induced increases in evapotranspirative demand. Geophys Res Lett 44(2):873–881. https://doi.org/10.1002/2016GL072190
Acknowledgements
The authors would like to appreciate the Copernicus Open Access Hub and United States Geological Survey Center for Earth Resources Observation and Science for providing the raw data.
Funding
This study received no specific grant or fund from any funding organization.
Author information
Authors and Affiliations
Contributions
Author 1: Neway Abera The author Neway Abera was responsible for the following: study conception and design, data collection, data analysis and interpretation of results, and the preparation of draft and final version of the manuscript. Author 2: Prof. Kumelachew Yeshitela Prof. Kumelachew Yeshitela contributed to supervision of the study and reviewing the draft versions of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Conflict of interest
The authors declare that there is no conflict of interest.
Ethics approval
The study is carried out without human and animal involvement hence it does not require ethical approval.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Abera, N., Yeshitela, K. Exploring the thermal characteristics of different local climate zones in Addis Ababa, Ethiopia. Theor Appl Climatol (2024). https://doi.org/10.1007/s00704-024-04908-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00704-024-04908-8