Enhancements of Heat Islands in the Growing Cities in Developing Countries Due to Land Use Land Cover Changes and Climate Change: A Case of Babati-Tanzania — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Enhancements of Heat Islands in the Growing Cities in Developing Countries Due to Land Use Land Cover Changes and Climate Change: A Case of Babati-Tanzania
The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
,
The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
,
The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
1 The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
2 The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
3 The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Climate is changing no doubt, with anthropogenic activities considered as the main driver of the change. Flooding, drought and urban heat island (UHI) are some impacts of climate change (CC). Additionally, land use land cover change (LULCC) adds more pressure to the growing cities. Population is increasing with urban cities expected to accommodate the majority of the people while UHI is expected to increase with CC and LULCC. Adaption is the best option to minimize impacts of UHI; however, researchers are required to identify the cause, impacts and ways to cope with the impacts. Therefore, this study investigated how the Land Surface Temperature (LST) of Babati, a fast-growing town in Tanzania, is changing with CC and LULCC. Remote sensing was used with LULC classification, which was performed using a maximum likelihood algorithm, and LST retrieval involved computational formulas using bands R, NIR, and TIR. Results showed a rise in built-up areas, suggesting urbanization at the expense of farmlands and bare land. The LULCC together with global warming from 2002 to 2022 contributed to the increasing average LST by 0.7˚C signifying that more impacts are expected in the future under a business-as-usual scenario. The findings also indicate that higher vegetation density is associated with lower LST and vice versa. This relationship highlights the critical role of vegetation in regulating temperature and suggests that enhancing vegetation cover may be an effective strategy for mitigating urban heat. Improving agricultural practices as population increases and promoting sustainable urbanization in Babati and similar towns are necessary to mitigate UHI effects.
KeywordsClimate ChangeGrowing TownHeat IslandLand Use Land Cover ChangeLand Surface Temperature
Sekertekin, A. and Zadbagher, E. (2021) Simulation of Future Land Surface Temperature Distribution and Evaluating Surface Urban Heat Island Based on Impervious Surface Area. Ecological Indicators , 122, Article 107230. https://doi.org/10.1016/j.ecolind.2020.107230
Dissanayake, D., Morimoto, T., Ranagalage, M. and Murayama, Y. (2019) Land-Use/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka. Climate , 7, 99. https://doi.org/10.3390/cli7080099
Li, D., Liao, W., Rigden, A.J., Liu, X., Wang, D., Malyshev, S., et al . (2019) Urban Heat Island: Aerodynamics or Imperviousness? Science Advances , 5, eaau4299. https://doi.org/10.1126/sciadv.aau4299
Ernest, S., Nduganda, A.R. and Kashaigili, J.J. (2017) Urban Climate Analysis with Remote Sensing and Climate Observations: A Case of Morogoro Municipality in Tanzania. Advances in Remote Sensing , 6, 120-131. https://doi.org/10.4236/ars.2017.62009
Wang, H., Zhang, Y., Tsou, J. and Li, Y. (2017) Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover. Sustainability , 9, Article 1538. https://doi.org/10.3390/su9091538
Kim, H., Gu, D. and Kim, H.Y. (2018) Effects of Urban Heat Island Mitigation in Various Climate Zones in the United States. Sustainable Cities and Society , 41, 841-852. https://doi.org/10.1016/j.scs.2018.06.021
Kabanda, T.H. and Kabanda, T.A. (2022) Urban Heat Island Analysis in Dar Es Salaam, Tanzania. South African Journal of Geomatics , 8, 98-107. https://doi.org/10.4314/sajg.v8i1.7
Weng, Q., Firozjaei, M.K., Sedighi, A., Kiavarz, M. and Alavipanah, S.K. (2018) Statistical Analysis of Surface Urban Heat Island Intensity Variations: A Case Study of Babol City, Iran. GI Science & Remote Sensing , 56, 576-604. https://doi.org/10.1080/15481603.2018.1548080
Lim, J. and Skidmore, M. (2020) Heat Vulnerability and Heat Island Mitigation in the United States. Atmosphere , 11, Article 558. https://doi.org/10.3390/atmos11060558
Canada, H. (2020) Reducing Urban Heat Islands to Protect Health in Canada. An Introduction for Public Health Professionals. https://www.canada.ca/en/services/health/publications/healthy-living/reducing-urban-heat-islands-protect-health-canada.html
Raj, S., Paul, S.K., Chakraborty, A. and Kuttippurath, J. (2020) Anthropogenic Forcing Exacerbating the Urban Heat Islands in India. Journal of Environmental Management , 257, Article 110006. https://doi.org/10.1016/j.jenvman.2019.110006
Shang, K., Xu, L., Liu, X., Yin, Z., Liu, Z., Li, X., et al . (2023) Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model. Sage Open , 13, Article 21582440231208851. https://doi.org/10.1177/21582440231208851
Yin, Z., Liu, Z., Liu, X., Zheng, W. and Yin, L. (2023) Urban Heat Islands and Their Effects on Thermal Comfort in the US: New York and New Jersey. Ecological Indicators , 154, Article 110765. https://doi.org/10.1016/j.ecolind.2023.110765
Kiarsi, M., Amiresmaili, M., Mahmoodi, M.R., Farahmandnia, H., Nakhaee, N., Zareiyan, A., et al . (2023) Heat Waves and Adaptation: A Global Systematic Review. Journal of Thermal Biology , 116, Article 103588. https://doi.org/10.1016/j.jtherbio.2023.103588
Ren, L., Wang, D., An, N., Ding, S., Yang, K., Freychet, N., et al . (2020) Anthropogenic Influences on the Persistent Night-Time Heat Wave in Summer 2018 over Northeast China. Bulletin of the American Meteorological Society , 101, S83-S88. https://doi.org/10.1175/bams-d-19-0152.1
Pan, R., Xie, M., Chen, M., Zhang, Y., Ma, J. and Zhou, J. (2023) The Impact of Heat Waves on the Mortality of Chinese Population: A Systematic Review and Meta-Analysis. Medicine , 102, e33345. https://doi.org/10.1097/md.0000000000033345
Hoornweg, D., et al . (2010) Cities and Climate Change: An Urgent Agenda. The World Bank.
Pande, C.B., Egbueri, J.C., Costache, R., Sidek, L.M., Wang, Q., Alshehri, F., et al . (2024) Predictive Modeling of Land Surface Temperature (LST) Based on Landsat-8 Satellite Data and Machine Learning Models for Sustainable Development. Journal of Cleaner Production , 444, Article 141035. https://doi.org/10.1016/j.jclepro.2024.141035
Li, X. and Zhou, W. (2019) Optimizing Urban Greenspace Spatial Pattern to Mitigate Urban Heat Island Effects: Extending Understanding from Local to the City Scale. Urban Forestry & Urban Greening , 41, 255-263. https://doi.org/10.1016/j.ufug.2019.04.008
Yang, J., Zhan, Y., Xiao, X., Xia, J.C., Sun, W. and Li, X. (2020) Investigating the Diversity of Land Surface Temperature Characteristics in Different Scale Cities Based on Local Climate Zones. Urban Climate , 34, Article 100700. https://doi.org/10.1016/j.uclim.2020.100700
Göpfert, C., Wamsler, C. and Lang, W. (2018) A Framework for the Joint Institutionalization of Climate Change Mitigation and Adaptation in City Administrations. Mitigation and Adaptation Strategies for Global Change , 24, 1-21. https://doi.org/10.1007/s11027-018-9789-9
Pasquini, L. (2019) The Urban Governance of Climate Change Adaptation in Least-Developed African Countries and in Small Cities: The Engagement of Local Decision-Makers in Dar es Salaam, Tanzania, and Karonga, Malawi. Climate and Development , 12, 408-419. https://doi.org/10.1080/17565529.2019.1632166
Xu, S., Wang, D., Liang, S., Jia, A., Li, R., Wang, Z., et al . (2024) A Novel Approach to Estimate Land Surface Temperature from Landsat Top-of-Atmosphere Reflective and Emissive Data Using Transfer-Learning Neural Network. Science of the Total Environment , 955, Article 176783. https://doi.org/10.1016/j.scitotenv.2024.176783
Sadiq Khan, M., Ullah, S., Sun, T., Rehman, A. and Chen, L. (2020) Land-Use/Land-Cover Changes and Its Contribution to Urban Heat Island: A Case Study of Islamabad, Pakistan. Sustainability , 12, Article 3861. https://doi.org/10.3390/su12093861
Rendana, M., Idris, W.M.R., Rahim, S.A., Abdo, H.G., Almohamad, H., Al Dughairi, A.A., et al . (2023) Relationships between Land Use Types and Urban Heat Island Intensity in Hulu Langat District, Selangor, Malaysia. Ecological Processes , 12, Article No. 33. https://doi.org/10.1186/s13717-023-00446-9
Koko, A.F., Yue, W., Abubakar, G.A., Alabsi, A.A.N. and Hamed, R. (2021) Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria. ISPRS International Journal of Geo-Information , 10, 272.
UN (2023) The 2018 Revision of the World Urbanization Prospects. Population Division of the United Nations Department of Economic and Social Affairs (UN DESA).
Maja, M.M. and Ayano, S.F. (2021) The Impact of Population Growth on Natural Resources and Farmers’ Capacity to Adapt to Climate Change in Low-Income Countries. Earth Systems and Environment , 5, 271-283. https://doi.org/10.1007/s41748-021-00209-6
Gu, D., Andreev, K. and Dupre, E.M. (2021) Major Trends in Population Growth around the World. China CDC Weekly , 3, 604-613. https://doi.org/10.46234/ccdcw2021.160
Cavan, G., Lindley, S., Jalayer, F., Yeshitela, K., Pauleit, S., Renner, F., et al . (2014) Urban Morphological Determinants of Temperature Regulating Ecosystem Services in Two African Cities. Ecological Indicators , 42, 43-57. https://doi.org/10.1016/j.ecolind.2014.01.025
Mubako, S., Nnko, H.J., Peter, K.H. and Msongaleli, B. (2022) Evaluating Historical and Predicted Long-Term Land Use/Land-Cover Change in Dodoma Urban District, Tanzania: 1992-2029. Physics and Chemistry of the Earth , Parts A / B / C , 128, Article 103205. https://doi.org/10.1016/j.pce.2022.103205
Kibassa, D. and R, S. (2016) Land Cover Change in Urban Morphological Types of Dar Es Salaam and Its Implication for Green Structures and Ecosystem Services. Modern Environmental Science and Engineering , 2, 171-186. https://doi.org/10.15341/mese(2333-2581)/03.02.2016/005
Lindley, S. and Gill, S. (2013) Green Infrastructure: An Essential Foundation for Sustainable Urban Futures in Africa .
Li, X., Stringer, L.C. and Dallimer, M. (2021) The Spatial and Temporal Characteristics of Urban Heat Island Intensity: Implications for East Africa’s Urban Development. Climate , 9, Article 51. https://doi.org/10.3390/cli9040051
Lindley, S.J., Gill, S.E., Cavan, G., Yeshitela, K., Nebebe, A., Woldegerima, T., et al . (2015) Green Infrastructure for Climate Adaptation in African Cities. In: Future City , Springer, 107-152. https://doi.org/10.1007/978-3-319-03982-4_4
Li, L., Zhan, W., Hu, L., Chakraborty, T., Wang, Z., Fu, P., et al . (2023) Divergent Urbanization-Induced Impacts on Global Surface Urban Heat Island Trends since 1980s. Remote Sensing of Environment , 295, Article 113650. https://doi.org/10.1016/j.rse.2023.113650
Chapman, S., Watson, J.E.M., Salazar, A., Thatcher, M. and McAlpine, C.A. (2017) The Impact of Urbanization and Climate Change on Urban Temperatures: A Systematic Review. Landscape Ecology , 32, 1921-1935. https://doi.org/10.1007/s10980-017-0561-4
Grinin, L. and Korotayev, A. (2023) Africa: The Continent of the Future. Challenges and Opportunities. In: World - Systems Evolution and Global Futures , Springer, 225-238. https://doi.org/10.1007/978-3-031-34999-7_13
Peter, K.H., Nnko, H.J. and Mubako, S. (2020) Impacts of Anthropogenic and Climate Variation on Spatiotemporal Pattern of Water Resources: A Case Study of Lake Babati, Tanzania. Sustainable Water Resources Management , 6, Article No. 47. https://doi.org/10.1007/s40899-020-00400-z
Ministry of Lands and URT (2019) Babati Town Master Plan 2017-2037.
Beck, H.E., Zimmermann, N.E., McVicar, T.R., Vergopolan, N., Berg, A. and Wood, E.F. (2018) Present and Future Köppen-Geiger Climate Classification Maps at 1-km Resolution. Scientific Data , 5, Article 180214. https://doi.org/10.1038/sdata.2018.214
Karlsson, M. (2016) Environmentally Friendly Agriculture in Tanzania: A Case Study of a Farm in Himiti Village, Babati.
Venance, S.K., Mshenga, P. and Birachi, E. (2016) Factors Influencing On-Farm Common Bean Profitability: The Case of Small-Holder Bean Farmers in Babati District, Tanzania. Journal of Economics and Sustainable Development , 7.
Young, N.E., Anderson, R.S., Chignell, S.M., Vorster, A.G., Lawrence, R. and Evangelista, P.H. (2017) A Survival Guide to Landsat Preprocessing. Ecology , 98, 920-932. https://doi.org/10.1002/ecy.1730
Larbi, I., et al . (2019) Predictive Land Use Change under Business-as-Usual and Afforestation Scenarios in the Vea Catchment, West Africa.
Lillesand, T., Kiefer, R.W. and Chipman, J. (2015) Remote Sensing and Image Interpretation. Wiley.
Tariq, A., Riaz, I., Ahmad, Z., Yang, B., Amin, M., Kausar, R., et al . (2019) Land Surface Temperature Relation with Normalized Satellite Indices for the Estimation of Spatio-Temporal Trends in Temperature among Various Land Use Land Cover Classes of an Arid Potohar Region Using Landsat Data. Environmental Earth Sciences , 79, Article No. 40. https://doi.org/10.1007/s12665-019-8766-2
Luan, Y. (2020) Retrieval of Land Surface Temperature from Landsat 8 Data of the Dandong-Liaoyang Geothermal Area.
Guha, S. and Govil, H. (2020) An Assessment on the Relationship between Land Surface Temperature and Normalized Difference Vegetation Index. Environment , Development and Sustainability , 23, 1944-1963. https://doi.org/10.1007/s10668-020-00657-6
Xu, X., Pei, H., Wang, C., Xu, Q., Xie, H., Jin, Y., et al . (2023) Long-Term Analysis of the Urban Heat Island Effect Using Multisource Landsat Images Considering Inter-Class Differences in Land Surface Temperature Products. Science of the Total Environment , 858, Article 159777. https://doi.org/10.1016/j.scitotenv.2022.159777
Zhao, Z., He, B., Li, L., Wang, H. and Darko, A. (2017) Profile and Concentric Zonal Analysis of Relationships between Land Use/Land Cover and Land Surface Temperature: Case Study of Shenyang, China. Energy and Buildings , 155, 282-295. https://doi.org/10.1016/j.enbuild.2017.09.046
Grover, A. and Singh, R. (2015) Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): A Comparative Study of Delhi and Mumbai. Environments , 2, 125-138. https://doi.org/10.3390/environments2020125
Rani, M., Kumar, P., Pandey, P.C., Srivastava, P.K., Chaudhary, B.S., Tomar, V., et al . (2018) Multi-Temporal NDVI and Surface Temperature Analysis for Urban Heat Island Inbuilt Surrounding of Sub-Humid Region: A Case Study of Two Geographical Regions. Remote Sensing Applications : Society and Environment , 10, 163-172. https://doi.org/10.1016/j.rsase.2018.03.007
Mallya, C.L. and Rwiza, M.J. (2021) Influence of Land Use Change on Nitrate Sources and Pollutant Enrichment in Surface and Groundwater of a Growing Urban Area in Tanzania. Environmental Earth Sciences , 80, Article No. 111. https://doi.org/10.1007/s12665-021-09386-z
Choudhury, D., Das, K. and Das, A. (2019) Assessment of Land Use Land Cover Changes and Its Impact on Variations of Land Surface Temperature in Asansol-Durgapur Development Region. The Egyptian Journal of Remote Sensing and Space Science , 22, 203-218. https://doi.org/10.1016/j.ejrs.2018.05.004
Marzban, F., Sodoudi, S. and Preusker, R. (2017) The Influence of Land-Cover Type on the Relationship between NDVI–LST and LST-Tair. International Journal of Remote Sensing , 39, 1377-1398. https://doi.org/10.1080/01431161.2017.1402386
Jiang, Y. and Weng, Q. (2016) Estimation of Hourly and Daily Evapotranspiration and Soil Moisture Using Downscaled LST over Various Urban Surfaces. GI Science & Remote Sensing , 54, 95-117. https://doi.org/10.1080/15481603.2016.1258971
Januar, T.W., Lin, T., Huang, C. and Chang, K. (2020) Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations. Remote Sensing , 12, Article 498. https://doi.org/10.3390/rs12030498
Xiong, Y., Zhao, S., Yin, J., Li, C. and Qiu, G. (2016) Effects of Evapotranspiration on Regional Land Surface Temperature in an Arid Oasis Based on Thermal Remote Sensing. IEEE Geoscience and Remote Sensing Letters , 13, 1885-1889. https://doi.org/10.1109/lgrs.2016.2616409
Katonge, J.H., Kaswamila, A.L. and Hamisi, M.I. (2019) Impact of Land Use Changes on the Health of Lakes Babati and Burunge, Northern Tanzania. 12 th Tawiri Scientific Conference , Arusha, 4-6 December 2019.
Simwanda, M., Ranagalage, M., Estoque, R. and Murayama, Y. (2019) Spatial Analysis of Surface Urban Heat Islands in Four Rapidly Growing African Cities. Remote Sensing , 11, Article 1645. https://doi.org/10.3390/rs11141645
Chen, X., Zhao, H., Li, P. and Yin, Z. (2006) Remote Sensing Image-Based Analysis of the Relationship between Urban Heat Island and Land Use/Cover Changes. Remote Sensing of Environment , 104, 133-146. https://doi.org/10.1016/j.rse.2005.11.016
Fayiga, A.O., Ipinmoroti, M.O. and Chirenje, T. (2017) Environmental Pollution in Africa. Environment , Development and Sustainability , 20, 41-73. https://doi.org/10.1007/s10668-016-9894-4
Xiao, B. and Bowker, M.A. (2020) Moss-Biocrusts Strongly Decrease Soil Surface Albedo, Altering Land-Surface Energy Balance in a Dryland Ecosystem. Science of the Total Environment , 741, Article 140425. https://doi.org/10.1016/j.scitotenv.2020.140425
Bokaie, M., Zarkesh, M.K., Arasteh, P.D. and Hosseini, A. (2016) Assessment of Urban Heat Island Based on the Relationship between Land Surface Temperature and Land Use/Land Cover in Tehran. Sustainable Cities and Society , 23, 94-104. https://doi.org/10.1016/j.scs.2016.03.009
Khan, Z. and Javed, A. (2022) Correlation between Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) in Wardha Valley Coalfield, Maharashtra, Central India. Nova Geodesia , 2, Article 53. https://doi.org/10.55779/ng2353