Influence of Nairobi’s Biophysical Characteristics on its Vulnerability to a Changing Climate

  • Sunday Julius Abuje Jomo Kenyatta University of Agriculture & Technology
  • Bernard Moirongo Otoki, PhD Jomo Kenyatta University of Agriculture & Technology
  • Bernard Mugwima Njuguna, PhD Jomo Kenyatta University of Agriculture & Technology
Keywords: Vulnerability, Climate Change, Biophysical, Nairobi, Adaptation
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Abstract

Urban areas experience exacerbated impacts of the regional climate variability because of their form characteristics such as imperviousness of surfaces, building density and distribution of open spaces. These are further confounded by geographical aspects such as topography, soil types, and vegetation types. Nairobi city is increasingly exposed to flood and heat risk as an aggregation of its urban form and the changing global climate. The paper sought to establish the influence of Nairobi’s biophysical characteristics on its vulnerability to both flooding and heat risks. The paper used a descriptive research design augmented with Geographic Information Systems to spatially model the landcover, soil drainage, topography, green space networks, and population density characteristics at the sub-location level. Vulnerability indices were developed using the expert ranking system and used to determine the vulnerability of the different sub-locations. The findings revealed a vulnerability pattern close to the historically segregated planning of the city. The central and eastern parts of the city exhibit high vulnerability while the western, northwestern, and southern parts of the city display moderate to low vulnerability. The paper recommends that adapting existing neighbourhoods and proactive planning of new neighbourhoods uses the ecosystem-based approach. This to entail decentralization of smaller green spaces, redesign of road medians for water management, re-specification of street vegetation species to incorporate a mix of deciduous and evergreen trees and incorporating eco-roofs and walls in high-density developments like the Central Business District.

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References

Apreda, C., D'Ambrosio, V., & Di Martino, F. (2019). A Climate Vulnerability and Impact Assessment Model for Complex Urban Systems. Environmental Science and Policy, 93, 11-26.

Bao, J., Li, X., & Yu, C. (2015). The Construction and Validation of the Heat Vulnerability Index, a Review. International Journal of Environmental Research and Public Health, 12, 7220-7234.

Barron, L., Ruggieri, D., & Branas, C. (2018). Assessing Vulnerability to Heat: A Geospatial Analysis for the City of Philadelphia. Urban Science, 2(38).

Bathrellos, G. D., Karymbalis, E., Skilodimou, H. D., Gaki-Papanastassiou, K., & Baltas, E. A. (2016). Urban Hazard Flood Assessment in the Basin of Athens Metropolitan City, Greece. Environmental Earth Science, 75(319).

Carmin, J., & Zhang, Y. (2009). Achieving urban climate adaptation in Europe and Central Asia. The World Bank.

Chen, H., Ito, Y., Sawamukai, M., & Tokunaga, T. (2015). Flood Hazard Assessment in the Kujukuri Plain of Chiba Prefecture, Japan, Based on GIS and Multicriteria Decision Analysis. Natural Hazard, 78(1), 105-120.

Dong, W., Liu, Z., Zhang, L., Tang, Q., Liao, H., & Li, X. (2014). Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island. Sustainability, 6, 7334-7357.

Dou, X., Song, J., Wang, L., Tang, B., Xu, S., Kong, F., & Jiamg, X. (2017). Flood Risk Assessment and Mapping based on a Modified Multi-parameter Flood Hazard Index Model in the Guanzhong Urban Area, China. Stochastic Environment Research and Risk Assessment, 32(4), 1131-1146.

Doyle, C., Sullivan, J., Mahtta, R., & Pandey, B. (2017). Assessing Biophysical and Social Vulnerability to Natural Hazards in Uttarakhand, India. Washington, DC: World Bank.

Elkhrachy, I. (2015). Flash Flood Hazard Mapping Using Satellite Images and GIS Tools: A Case Study of Najran City, Kingdom of Saudi Arabia (KSA). The Egyptian Journal of Remote Sensing and Space Sciences, 18(2), 261-278.

Elmoustafa, A. M. (2012). Weighted normalized risk factor for floods risk assessment. Ain Shams Engineering Journal, 3(4), 327–332.

Field, C. B., Barros, V., Stocker, T. F., & Dahe, Q. (2012). Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change. Cambridge University Press.

Fritzsche, K., Schneiderbauer, S., Bubeck, P., Stefan, K., Buth, M., Zebisch, M., & Kahlenborn, W. (2014). The Vulnerability Sourcebook: Concept and guidelines for standardised vulnerability assessments. Bonn and Eschborn: GIZ.

Gamble, J. L., Schmeltz, M., Hurley, B., Hsieh, J., Jette, G., & Wagner, H. (2018). Mapping the Vulnerability of Human Health to Extreme Heat in the United States. Washington, DC: EPA.

Geneletti, D., & Zardo, L. (2016). Ecosystem-based adaptation in cities: An analysis of European urban climate adaptation plans. Land Use Policy, 50, 38–47.

Gigovich, L., Pamvear, D., Bajic, Z., & Drobnjak, S. (2017). Application of GIS-internal Rough AHP Methodology for Flood Hazard Mapping in Urban Areas. Water, 9(360), 1-26.

Gill, S. E., Handley, J. F., Ennos, A. R., & Pauliet, S. (2007). Adapting Cities for Climate Change: The role of Green Infrastructure. Built Environment, 33(1), 115-133.

Huang, J., Kang, Q., Yang, J. X., & Jin, P. W. (2017). Multifactor analysis and simulation of the surface runoff and soil infiltration at different slope gradients. IOP Conference Series: Earth and Environmental Science, 82(1), 12019. IOP Publishing.

Inostroza, L., Palme, M., & de la Barrera, F. (2016). A heat vulnerability index: spatial patterns of exposure, sensitivity and adaptive capacity for Santiago de Chile. PLOS One, 11(9), e0162464.

Intergovernmental Panel on Climate Change (IPCC). (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L.White (eds.)]. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press.

Jänicke, B., Holtmann, A., Kim, K. R., Kang, M., Fehrenbach, U., & Scherer, D. (2019). Quantification and evaluation of intra-urban heat-stress variability in Seoul, Korea. International journal of biometeorology, 63(1), 1-12.

JICA. (2004). The Project on Integrated Urban Development Master Plan for the City of Nairobi in the Republic of Kenya. Tokyo.

Kenya National Bureau of Statistics. (2010). Kenya Population and Housing Census 2009. Nairobi: Government Printer.

Kenya National Bureau of Statistics. (2019). 2019 Kenya population and housing census. Volume 1: Population by county and sub-county. Nairobi.

Krellenberg, K., Welz, J., Link, F., & Barth, K. (2017). Urban vulnerability and the contribution of socio-environmental fragmentation. Progress in Human Geography, 41(4), 408–431.

Macintyre, H. L., Haviside, C., Taylor, J., Picetti, R., Symonds, P., Cai, X. M., & Vardoulakis, S. (2018). Assessing Urban Population Vulnerability and Environmental Risk Across an Urban Area During Heatwaves - Implications for Health Protection. Science of the Total Environment, 610, 678-690.

McCarthy, J. J., Canziani, O. F., Leary, N. A., Dokken, D. J., & White, K. S. (2001). Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change (Vol. 2). Cambridge University Press.

Méndez-Lázaro, P., Muller-Karger, F. E., Otis, D., McCarthy, M. J., & Rodríguez, E. (2018). A heat vulnerability index to improve urban public health management in San Juan, Puerto Rico. International journal of biometeorology, 62(5), 709-722.

Mentzafou, A., Markgianni, V., & Dimitriou, E. (2017). The Use of Geospatial Technologies in Flood Hazard Mapping and Assessment: Case Study from River Evros. Pure Applied Geophysics, 174(2), 679-700.

Mentzafou, A., Markogianni, V., & Dimitriou, E. (2018). The use of geospatial technologies in flood hazard mapping and assessment: case paper from River Evros. In Geoinformatics and Atmospheric Science (pp. 221–242). Springer.

Nassif, S. H., & Wilson, E. M. (1975). The influence of slope and rain intensity on runoff and infiltration/l’influence de l’inclinaison de terrain et de l’intensité de pluie sur l’écoulement et l’infiltration. Hydrological Sciences Journal, 20(4), 539–553.

Nayak, S. G., Shrestha, S., Kinney, P. L., Ross, Z., Sheridan, S. C., Pantea, C. I., . . . Hwang, S. A. (2018). Development of a heat vulnerability index for New York State. Public Health, 161, 127-137.

Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017). Urban climates. Cambridge University Press.

Ouma, Y. O. & Tateishi, R. (2014). Urban Flood Vulnerability and Risk Mapping Using Integrated Multi-Parametric AHP and GIS: Methodological Overview and Case Study Assessment. Water, 16, 1515-1545.

Pattacini, L. (2012). Climate and Urban Form. Urban Design International, 17(2), 106-114.

Perry, M., Canziani, O., Palutikof, J., Linden, P. V. D., & Hanson, C. (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press for the Intergovernmental Panel on Climate Change.

Pincetl, S., Chester, M., & Eisenman, D. (2016). Urban Heat Stress Vulnerability in the U.S. Southwest: The Role of Sociotechnical Systems. Sustainability, 8(842).

Reid, C. E., O'Neill, M. S., Gronlund, C. J., Brines, S. J., Brown, D. G., Diez-Roux, A. V., & Schwartz, J. (2009). Mapping Community Determinants of Heat Vulnerability. Environmental Health Perspectives, 117(11), 1730-1736.

Romero-Lankao, P., Qin, H., & Dickinson, K. (2012). Urban vulnerability to temperature-related hazards: A meta-analysis and meta-knowledge approach. Global Environmental Change, 22(3), 670-683.

Satapathy, S., Porsche, I., Rolker, D., Bhatt, S., Tomar, S., & Nair, S. (Eds.). (2014). A Framework for Climate Change Vulnerability Assessments. New Delhi: GIZ & CCA RAI.

Sattethwaite, D., Huq, S., Reid, H., Pelling, M., & Lankao, P. R. (2009). Adapting to Climate Change in Urban Areas: The possibilities and constraints in low and middle-income Nations. In J. Bicknell, D. Dodman, & D. Satterthwaite (Eds.), Adapting Cities to Climate Change: Understanding and Addressing the development challenges (pp. 3-34). London: Earthscan.

Savić, S., Marković, V., Šećerov, I., Pavić, D., Arsenović, D., Milošević, D., ... & Pantelić, M. (2018). Heatwave risk assessment and mapping in urban areas: case study for a midsized Central European city, Novi Sad (Serbia). Natural hazards, 91(3), 891-911.

Scarano, F. R. (2017). Ecosystem-based adaptation to climate change: concept, scalability and a role for conservation science. Perspectives in Ecology and Conservation, 15(2), 65–73.

Skilodimou, H. D., Bathrellos, G. D., Chousianitis, K., Youssef, A. M., & Pradhan, B. (2019). Multi-hazard Assessment Modeling via Multi-criteria Analysis and GIS: A Case Study. Environmental Earth Sciences, 78(2), 7.

Stangl, P. (2018). Prospects for Urban Morphology in Resilience Assessment. In Y. Yamagata, & A. Sharifi (Eds.), Resilience-Oriented Urban Planning, Lecture Notes in Energy 65 (pp. 181-193). Cham: Springer International Publishing AG.

Stefanidis, S., & Stathis, D. (2013). Assessment of Flood Hazard based on Natural and Anthropogenic Factors Using Analytic Hierarchy Process (AHP). Natural Hazards, 68, 569-585.

Swanson, D., Hiley, J., & Venema, H. D. (2007). Indicators of adaptive capacity to climate change for agriculture in the prairie region of agriculture: An analysis based on Statistics Canada’s Census of Agriculture. IISD Draft Working Paper for Adaptation as Resilience Building.

Swart, R., Fons, J., Geertsema, W., van Hove, B., Gregor, M., Havranek, M., . . . Peltonen, L. (2012). Urban Vulnerability Indicators: A joint report of ETC-CCA and ETC-SIA. Copenhagen: EEA.

Thomas, V., & López, R. (2015). Global increase in climate-related disasters. Asian Development Bank Economics Working Paper Series, No. 466. Manila: Asian Development Bank (ADB).

UNHabitat. (2016). Community-Led, Citywide Open Public Spaces Inventory and Analysis. Nairobi: UNHabitat.

United Nations Department of Economic and Social Affairs. (2018). 2018 Revision of World Urbanization Prospects. Retrieved December 26, 2019, from https://www.un.org/development/desa/publications/2018-revision-of-world-urbanization-prospects.html

United Nations Framework Convention on Climate Change (UNFCCC). (2011). Fact sheet: Climate change science - the status of climate change science today. Retrieved from https://unfccc.int/files/press/backgrounders/application/pdf/press_factsh_science.pdf

University of Nairobi. (2018). Engineering Properties of Soils Case Paper: Nairobi Area. Retrieved from University of Nairobi: Department of Geology website: http://geology.uonbi.ac.ke/node/1949

Weber, S., Sadoff, N., Zell, E., & de Sherbinin, A. (2015). Policy-relevant Indicators of Mapping the Vulnerability of Urban Populations to Extreme Heat Events: A Case Study of Philadelphia. Applied Geography, 63, 231-243.

Wilhelmi, O. V., & Hayden, M. H. (2010). Connecting people and place: a new framework for reducing urban vulnerability to extreme heat. Environmental Research Letters, 5(1), 014021.

Wolf, T., & McGregor, G. (2013). The development of a heat wave vulnerability index for London, United Kingdom. Weather and Climate Extremes, 1, 59-68.

World Meteorological Organization (WMO). (2019). Global Climate in 2015-2019: Climate change accelerates | World Meteorological Organization. Retrieved December 26, 2019, from https://public.wmo.int/en/media/press-release/global-climate-2015-2019-climate-change-accelerates.

Published
28 August, 2020
How to Cite
Abuje, S., Otoki, B., & Njuguna, B. (2020). Influence of Nairobi’s Biophysical Characteristics on its Vulnerability to a Changing Climate. East African Journal of Environment and Natural Resources, 2(2), 64-85. https://doi.org/10.37284/eajenr.2.2.201