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The impact of urban expansion on the regional environment in Myanmar: a case study of two capital cities

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Abstract

Context

This study examines the spatio-temporal patterns of urban expansion for Yangon and Nay Pyi Taw, the former and new national capitals of Myanmar, and its impact on the regional environment between 2000 and 2013.

Objectives

The objective is to examine different driving forces of urban expansion for Yangon and Nay Pyi Taw, and their environmental consequences during Myanmar’s transitional economy.

Methods

Classified time-series Landsat images are used to evaluate urban expansion processes. Environmental parameters being evaluated in this study include five sets of remotely sensed MODIS land products that are land surface temperature (LST), percent tree cover (PTC), evapotranspiration (ET), terrestrial ecosystem net primary productivity (NPP), and aerosol optical depth (AOD). A time-series trend analysis technique is used to examine the environmental consequences.

Results

The built-up areas in Nay Pyi Taw and Yangon exhibit exponential and polynomial increase, respectively. A 1% increase of built-up area could potentially cause an increase of daytime LST of 0.7 °C, a PTC loss of 2.3%, a decrease in NPP of 34.3 kg/m2, and an ET decrease of 42.2 mm for Yangon. Similarly, for Nay Pyi Taw, a 1% increase in built-up area could potentially cause a daytime LST increase of 0.3 °C, a nighttime LST increase of 0.06 °C, a PTC loss of 2.5%, a decrease in NPP of 15.1 kg/m2, and a decrease of 19.2 mm ET. No significant change was observed for AOD for either city.

Conclusions

Both cities have experienced extensive urban expansion but with different spatial and temporal characteristics, and their effects on the regional environment are different. Urban expansion of Nay Pyi Taw mainly was government-induced municipal infrastructure development. Yangon’s expansion is mainly caused by population pressure and migration from rural areas. The urban expansion in Yangon was mainly due to reconstruction and renovation, as well as infill development during the study period.

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References

  • Balling RC Jr, Brazel SW (1987) The impact of rapid urbanization on pan evaporation in phoenix. Arizona. Int J Climatol 7(6):593–597

    Article  Google Scholar 

  • Bartone CR, Bernstein J, Leitmann J (1992) Managing the environmental challenge of mega-urban regions. In: Paper prepared for the international conference on managing the mega-urban regions of ASEAN countries: policy challenges and responses, vol 30. Asian Institute of Technology, Bangkok

  • Bohnenstengel SI, Evans S, Clark PA, Belcher SE (2011) Simulations of the London urban heat island. Q J Royal Meteorol Society 137(659):1625–1640

    Article  Google Scholar 

  • Bouyer J, Musy M, Huang Y, Athamena K (2009) Mitigating urban heat island effect by urban design: forms and materials. In: Proceedings of the 5th urban research symposium 2009, World bank: cities and climate change: responding to an urgent agenda, Marseille, France, 28–29 June 2009, pp 28–30.

  • Bowler DE, Buyung-Ali L, Knight TM, Pullin AS (2010) Urban greening to cool towns and cities: a systematic review of the empirical evidence. Landsc Urban Plan 97(3):147–155

    Article  Google Scholar 

  • Brennan EM (1999) Population, urbanization, environment, and security: a summary of the issues. Environ Change Secur Proj Rep 5(4):e14

    Google Scholar 

  • Carlson TN, Authur ST (2000) The impact of land use–land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective. Glob Planet Change 25:49–65

    Article  Google Scholar 

  • Central Intelligence Agency (2017) The world factbook. https://www.cia.gov/library/publications/the-world-factbook/fields/2212.html

  • Chao CK, Yao X (2008) Air pollution in mega cities in China. Atmos Environ 42(1):1–42

    Article  Google Scholar 

  • Climate-Data.org (2016a) Climate: Yangon. https://en.climate-data.org/location/311/

  • Climate-Data.org (2016b) Climate: Naypyidaw. https://en.climate-data.org/location/3885/

  • Cole MA, Neumayer E (2004) Examining the impact of demographic factors on air pollution. Popul Environ 26(1):5–21

    Article  Google Scholar 

  • Drummond MA, Loveland TR (2010) Land-use pressure and a transition to forest-cover loss in the eastern United States. Bioscience 60(4):286–298

    Article  Google Scholar 

  • Dyson T (2011) The role of the demographic transition in the process of urbanization. Popul Dev Rev 37:34–54

    Article  PubMed  Google Scholar 

  • Elsom D (2013) Smog alert: managing urban air quality. Earthscan, New York

    Google Scholar 

  • Gill SE, Handley JF, Ennos AR, Pauleit S (2007) Adapting cities for climate change: the role of the green infrastructure. Built Environ 33(1):115–133

    Article  Google Scholar 

  • Golden JS (2004) The built environment induced urban heat island effect in rapidly urbanizing arid regions—a sustainable urban engineering complexity. Environ Sci 1(4):321–349

    Article  Google Scholar 

  • Hamada S, Ohta T (2010) Seasonal variations in the cooling effect of urban green areas on surrounding urban areas. Urban For Urban Green 9(1):15–24

    Article  Google Scholar 

  • Hanse MC, DeFries RS, Townshend JR, Carroll M, Dimiceli C, Sohlberg RA (2003) Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interact 7:1–15

    Article  Google Scholar 

  • Hansen MC, Townshend JRG, DeFries RS, Carroll M (2005) Estimation of tree cover using MODIS data at global, continental and regional/local scales. Int J Remote Sens 26(19):4359–4380

    Article  Google Scholar 

  • Hoek G, Krishnan RM, Beelen R, Peters A, Ostro B, Brunekreef B, Kaufman JD (2013) Long-term air pollution exposure and cardio-respiratory mortality: a review. Environ Health 12(1):43

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hsu K, Htun Y (2011) Yangon Region govt facing K22b budget black hole. Myanmar Times. http://www.mmtimes.com/index.php/national-news/1889-yangon-region-govt-facing-k22b-budget-black-hole.html

  • Huang S-L, Chen C-W (2009) Urbanization and socioeconomic metabolism in Taipei. J Ind Ecol 13(1):75–93

    Article  Google Scholar 

  • Ishtiaque A, Myint SW, Wang C (2016) Examining the ecosystem health and sustainability of the world’s largest mangrove forest using multi-temporal MODIS products. Sci Total Environ 569–570:1241–1254

    Article  PubMed  Google Scholar 

  • Jense JR, Cowen DC (1999) Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogr Eng Remote Sens 65(5):611–622

    Google Scholar 

  • Kalnay E, Cai M (2003) Impact of urbanization and land-use change on climate. Nature 423(6939):528–530

    Article  CAS  PubMed  Google Scholar 

  • Kim HH (1991) Urban heat island. Int J Remote Sens 13(12):2319–2336

    Article  Google Scholar 

  • Kondoh A, Nishiyama J (2000) Changes in hydrological cycle due to urbanization in the suburb of Tokyo Metropolitan area, Japan. Adv Space Res 26(7):1173–1176

    Article  Google Scholar 

  • Lambin EF, Turner BL, Geist HJ, Agbola SB, Angelsen A, Bruce JW, Xu J (2001) The causes of land-use and land-cover change: moving beyond the myths. Glob Environ Change 11:261–269

    Article  Google Scholar 

  • Lee HJ, Liu Y, Coull BA, Schwartz J, Koutrakis P (2011) A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations. Atmos Chem Phys 11(15):7991–8002

    Article  CAS  Google Scholar 

  • Leimgruber P, Kelly DS, Steininger MK, Brunner J, Müller T, Songer M (2005) Forest cover change patterns in Myanmar (Burma) 1990–2000. Environ Conserv 32(4):356–364

    Article  Google Scholar 

  • Lenoble J, Remer L, Tanré D (2013) Aerosol remote sensing. Springer, Chichester

    Book  Google Scholar 

  • Levy RC, Remer LA, Tanré D, Mattoo S, Kaufman YJ (2009) Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS: collections 005 and 051: Revision 2; Feb 2009. MODIS algorithm theoretical basis document

  • McGarigal K, Cushman SA, Ene E (2012) FRAGSTATS v4: Spatial pattern analysis program for categorical and continuous maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html

  • Ministry of Immigration and Population (2014) Population and housing census of Myanmar, 2014 (census report volume I). Department of Population, Ministry of Immigration and Population, Nay Pyi Taw

  • Ministry of Immigration and Population (2015a) The 2014 Myanmar population and housing census: Yangon Region (census report volume 3-L). Department of Population, Ministry of Immigration and Population, Nay Pyi Taw

  • Ministry of Immigration and Population (2015b) The 2014 Myanmar Population and housing census: Nay Pyi Taw (census report volume 3-O). Department of Population, Ministry of Immigration and Population, Nay Pyi Taw

  • Mu Q, Heinsch FA, Zhao M, Running SW (2007) Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens Environ 111(4):519–536

    Article  Google Scholar 

  • Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115(8):1781–1800

    Article  Google Scholar 

  • Nakamura D (2014) Obama’s journey through Burma’s strange, ‘ghost town’ capital. The Washington Post. https://www.washingtonpost.com/news/worldviews/wp/2014/11/13/obamas-journey-through-burmas-strange-ghost-town-capital/?utm_term=.b5cc81da38b0

  • Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108(455):1–24

    Google Scholar 

  • Oliveira S, Andrade H, Vaz T (2011) The cooling effect of green spaces as a contribution to the mitigation of urban heat: a case study in Lisbon. Build Environ 46(11):2186–2194

    Article  Google Scholar 

  • Ouyang Z, Fan P, Chen J (2016) Urban built-up areas in transitional economies of Southeast Asia: spatial extent and dynamics. Remote Sens 8(1):819

    Article  Google Scholar 

  • Owen TW, Carlson TN, Gillies RR (1998) An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic e!ect of urbanization. Int J Remote Sens 19(9):1663–1681

    Article  Google Scholar 

  • Pal S, Xueref-Remy I, Ammoura L, Chazette P, Gibert F, Royer P, Dieudonné E, Dupont J-C, Haeffelin M, Lac C, Lopez M, Morille Y, Ravetta F (2012) Spatio-temporal variability of the atmospheric boundary layer depth over the Paris agglomeration: An assessment of the impact of the urban heat island intensity. Atmos Environ 63:261–275

    Article  CAS  Google Scholar 

  • Phillips DR (1993) Urbanization and human health. Parasitology 106(S1):S93–S107

    Article  PubMed  Google Scholar 

  • Remer LA, Kaufman YJ, Tanré D, Chu DA, Martins JV, Li R-R, Holben BN (2005) J Atmos Sci 62(4):947–973

    Article  Google Scholar 

  • Rim C-S (2009) The effects of urbanization, geographical and topographical conditions on reference evapotranspiration. Climat Change 97:483

    Article  CAS  Google Scholar 

  • Roberts B (1978) Cities of peasants: the political economy of urbanization in the Third World. Sage, Beverly Hills

    Google Scholar 

  • Robinson IM (1995) Mega urban regions of Southeast Asia. UBC Press, Vancouver

    Google Scholar 

  • Santamouris M (2011) Energy and climate in the urban built environment. Routledge, New York

    Google Scholar 

  • Sato Y, Yamamoto K (2005) Population concentration, urbanization, and demographic transition. J Urban Econ 58(1):45–61

    Article  Google Scholar 

  • Schaldach R, Alcamo J (2007) Simulating the effects of urbanization, afforestation and cropland abandonment on a regional carbon balance: a case study for Central Germany. Reg Environ Change 7(3):137–148

    Article  Google Scholar 

  • Songer M, Aung M, Senior B, DeFries R, Leimgruber P (2009) Spatial and temporal deforestation dynamics in protected and unprotected dry forests: a case study from Myanmar (Burma). Biodivers Conserv 18(4):1001–1018

    Article  Google Scholar 

  • The World Bank (2017a) Population, total. https://data.worldbank.org/indicator/SP.POP.TOTL

  • The World Bank (2017b) Urban population (% of total). https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS

  • Turner DP, Ritts WD, Cohen WB, Gower ST, Running SW, Zhao M, Costa MH, Kirschbaum, AA, Ham JM, Saleska, SR, Ahl DE (2006) Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sens Environ 102(3–4):282–292

    Article  Google Scholar 

  • Wan Z, Zhang Y, Zhang Q, Li Z-L (2002) Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data. Remote Sens Environ 83(1–2):163–180

    Article  Google Scholar 

  • Wan Z, Zhang Y, Zhang Q, Li ZL (2004) Quality assessment and validation of the MODIS global land surface temperature. Int J Remote Sens 25(1):261–274

    Article  Google Scholar 

  • Wang C, Myint SW (2016) Environmental concerns of deforestation in Myanmar 2001-2010. Remote Sens 8(9):728.

    Article  Google Scholar 

  • Wang C, Myint SW, Wang Z-H, Song J (2016a) Spatio-temporal modeling of the urban heat island in the Phoenix metropolitan area: land use change implications. Remote Sens 8(3):185.

    Article  Google Scholar 

  • Wang C, Yang J, Myint SW, Wang Z-H, Tong B (2016b) Empirical modeling and spatio-temporal patterns of urban evapotranspiration for the Phoenix metropolitan area. Arizona. GIScience Remote Sens 53(6):778–792

    Article  Google Scholar 

  • White MJ, Wu F, Chen YP (2008) Urbanization, institutional change, and sociospatial inequality in China, 1990–2001. In: Logan JR (ed) Urban China in transition. Blackwell, Oxford, pp 115–139

    Chapter  Google Scholar 

  • World Bank Group (2015) East Asia’s changing urban landscape: measuring a decade of spatial growth. World Bank, Washington, DC

    Book  Google Scholar 

  • Worldometers (2018a) World population. Worldometers. http://www.worldometers.info/world-population/#table-forecast

  • Worldometers (2018b) South-Eastern Asia population. Worldometers. http://www.worldometers.info/world-population/south-eastern-asia-population/

  • Xu C, Liu M, An S, Chen J, Yan P (2007) Assessing the impact of urbanization on regional net primary productivity in Jiangyin County, China. J Environ Manag 85(3):597–606

    Article  CAS  Google Scholar 

  • Yaukey D (1985) Demography: the study of human population. St. Martin’s Press, New York City

    Google Scholar 

  • Zhao Y (2001) The institutional change, small town development and urbanization in China. City Plan Rev 25(8):47–57

    Google Scholar 

  • Zhao M, Running SW, Nemani RR (2006) Sensitivity of moderate resolution imaging spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses. J Geophys Res 111(G1):G01002

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by the National Aeronautics and Space Administration (NASA) ROSES program (NASA Award Number NNX15AD51G). Any views and opinions are those of the authors alone. The authors would like to thank all the anonymous reviewers for their insightful comments and suggestions on the earlier version of this manuscript.

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Correspondence to Chuyuan Wang.

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Wang, C., Myint, S.W., Fan, P. et al. The impact of urban expansion on the regional environment in Myanmar: a case study of two capital cities. Landscape Ecol 33, 765–782 (2018). https://doi.org/10.1007/s10980-018-0632-1

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  • DOI: https://doi.org/10.1007/s10980-018-0632-1

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