Abstract
Urbanization influences hydrologic cycle significantly on local, regional even global scale. With urbanization the water resources demand for dense population sharpened, thus it is a great challenge to ensure water supply for some metropolises such as Beijing. Urban area is traditionally considered as the area with lower evapotranspiration (ET) on account of the impervious surface and the lower wind speed. For most remote sensing models, the ET, defined as latent heat in energy budget, is estimated as the difference between net radiation and sensible heat. The sensible heat is generally higher in urban area due to the high surface temperature caused by heat island, therefore the latent heat (i.e. the ET) in urban area is lower than that in other region. We estimated water consumption from 2003 to 2012 in Beijing based on water balance method and found that the annual mean ET in urban area was about 654 mm. However, using Surface Energy Balance System (SEBS) model, the annual mean ET in urban area was only 348 mm. We attributed this inconsistence to the impact of anthropogenic heat and quantified this impact on the basis of the night-light maps. Therefore, a new model SEBS-Urban, coupling SEBS model and anthropogenic heat was developed to estimate the ET in urban area. The ET in urban area of Beijing estimated by SEBS-Urban showed a good agreement with the ET from water balance method. The findings from this study highlighted that anthropogenic heat should be included in the surface energy budget for a highly urbanized area.
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References
Alexandris S, Stricevic R, Petkovic S. 2008. Comparative analysis of reference evapotranspiration from the surface of rainfed grass in central Serbia, calculated by six empirical methods against the Penman-Monteith formula. Eur Water, 21: 17–28
Allen L, Lindberg F, Grimmond C S B. 2011. Global to city scale urban anthropogenic heat flux: Model and variability. Int J Climatol, 31: 1990–2005
Allen R G, Morse A, Tasumi M, Bastiaanssen W, Kramber W, Anderson H. 2001. Evapotranspiration from Landsat (SEBAL) for water rights management and compliance with multi-state water compacts. In: Geoscience and Remote Sensing Symposium, IGARSS’01. IEEE 2001 International, 2: 830–833
Allen R G, Lindberg F, Grimmond C. 2000. Using the FAO-56 dual crop coefficient method over an irrigated region as part of an evapotranspiration intercomparison study. J Hydrol, 229: 27–41
Allen R G, Pereira L S, Raes D, Smith M. 1998. Crop evapotranspiration- Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300: D05109
Allen R G, Tasumi M, Trezza R. 2007. Satellite-Based energy balance for mapping evapotranspiration with internalized calibration (METRIC)- model. J Irrig Drain Eng, 133: 380–394
Alley W M. 1984. On the treatment of evapotranspiration, soil moisture accounting, and aquifer recharge in monthly water balance models. Water Resour Res, 20: 1137–1149
Bai X, Imura H. 2001. Towards sustainable urban water resource management: A case study in Tianjin, China. Sust Dev, 9: 24–35
Bastiaanssen W G M, Menenti M, Feddes R A, Holtslag A A M. 1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. J Hydrol, 212-213: 198–212
Beljaars A C M, Holtslag A A M. 1991. Flux parameterization over land surfaces for atmospheric models. J Appl Meteorol, 30: 327–341
Bratman G N, Daily G C, Levy B J, Gross J J. 2015. The benefits of nature experience: Improved affect and cognition. Landscape Urban Plan, 138: 41–50
Brutsaert W. 1982. Evaporation into the Atmosphere-Theory, History and Application. D. Reidel pub. Comp, Dordrecht-Boston-London
Brutsaert W. 1999. Aspects of bulk atmospheric boundary layer similarity under free-convective conditions. Rev Geophys, 37: 439–451
Charlson R J, Schwartz S E, Hales J M, Cess R D, Coakley Jr. J A, Hansen J E, Hofmann D J. 1992. Climate forcing by anthropogenic aerosols. Science, 255: 423–430
Che W R. 2008. Annual Water Utilization Estimation of main Trees, Shrubs and Lawn Grass Species of Greenland in Beijing. Dissertation for Master Degree (in Chinese). Beijing: Beijing Forestry University
Di Giovanni K, Montalto F, Gaffin S, Rosenzweig C. 2012. Applicability of classical predictive equations for the estimation of evapotranspiration from urban green spaces: Green roof results. J Hydrol Eng, 18: 99–107
Du L X, Xing S H. 2009. Relationship between spatial distribution pattern of shrub community and environmental factors in Badaling of Beijing (in Chinese). Acta Botan Boreal-Occidental Sin, 29: 601–607
Flanner M G. 2009. Integrating anthropogenic heat flux with global climate models. Geophys Res Lett, 36: L02801
Gillies R R, Carlson T N. 1995. Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. J Appl Meteorol, 34: 745–756
Granier A, Bréda N, Biron P, Villette S. 1999. A lumped water balance model to evaluate duration and intensity of drought constraints in forest stands. Ecol Model, 116: 269–283
Grimmond C S B, Oke T R. 1991. An evapotranspiration-interception model for urban areas. Water Resour Res, 27: 1739–1755
Hansen J, Sato M, Ruedy R. 1997. Radiative forcing and climate response. J Geophys Res, 102: 6831–6864
Haywood J M, Shine K P. 1995. The effect of anthropogenic sulfate and soot aerosol on the clear sky planetary radiation budget. Geophys Res Lett, 22: 603–606
He G J, Chen G, He X Y, Wang W, Liu D S. 2001. Extracting buildings distribution information of different heights in a city from the shadows in a panchromatic SPOT Image (in Chinese). J Image Graph, 6: 425–428
He J, Yang K. 2011. China Meteorological Forcing Dataset. Lanzhou: Cold and Arid Regions Science Data Center
Heilig G K. 2012. World urbanization prospects: The 2011 revision. United Nations, Department of Economic and Social Affairs (DESA), Population Division, Population Estimates and Projections Section. New York
Ichinose T, Shimodozono K, Hanaki K. 1999. Impact of anthropogenic heat on urban climate in Tokyo. Atmos Environ, 33: 3897–3909
Iglesias A, Garrote L, Flores F, Moneo M. 2007. Challenges to manage the risk of water scarcity and climate change in the Mediterranean. Water Resour Manage, 21: 775–788
Jia L, Xi G, Liu S, Huang C, Yan Y, Liu G. 2009. Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland. Hydrol Earth Syst Sci, 13: 1775–1787
Jiang Y. 2009. China’s water scarcity. J Environ Manage, 90: 3185–3196
Klysik K. 1996. Spatial and seasonal distribution of anthropogenic heat emissions in Lodz, Poland. Atmos Environ, 30: 3397–3404
Kushta J, Kallos G, Astitha M, Solomos S, Spyrou C, Mitsakou C, Lelieveld J. 2014. Impact of natural aerosols on atmospheric radiation and consequent feedbacks with the meteorological and photochemical state of the atmosphere. J Geophys Res-Atmos, 119: 1463–1491
Li S S, Yang S N. 2015. Changes of extreme temperature events in Beijing during 1960–2014 (in Chinese). Sci Geogr Sin, 35: 1640–1647
Liang S. 2001. Narrowband to broadband conversions of land surface albedo I. Remote Sens Environ, 76: 213–238
Long D, Singh V P. 2010. Integration of the GG model with SEBAL to produce time series of evapotranspiration of high spatial resolution at watershed scales. J Geophys Res, 115: D21128
McCarthy M P, Best M J, Betts R A. 2010. Climate change in cities due to global warming and urban effects. Geophys Res Lett, 37: L09705
McMahon T A, Peel M C, Lowe L, Srikanthan R, McVicar T R. 2013. Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: A pragmatic synthesis. Hydrol Earth Syst Sci, 17: 1331–1363
Morse A, Tasumi M, Allen R G, Kramber W J. 2000. Application of the SEBAL methodology for estimating consumptive use of water and streamflow depletion in the Bear River basin of Idaho through remote sensing. Idaho Department of Water Resources-University of Idaho
Nie W S, Sun T, Ni G H. 2014. Spatiotemporal characteristics of anthropogenic heat in an urban environment: A case study of Tsinghua Campus. Build Environ, 82: 675–686
Oke T R. 2002. Boundary Layer Climates. Routledge
Palmroth S, Katul G G, Hui D, McCarthy H R, Jackson R B, Oren R. 2010. Estimation of long-term basin scale evapotranspiration from streamflow time series. Water Resour Res, 46: W10512
Papayannis A, Balis D, Bais A, Van Der Bergh H, Calpini B, Durieux E, Fiorani L, Jaquet L, Ziomas I, Zerefos C S. 1998. Role of urban and suburban aerosols on solar UV radiation over Athens, Greece. Atmos Environ, 32: 2193–2201
Paul M J, Meyer J L. 2008. Streams in the Urban Landscape. Berlin: Springer. 207–231
Penman H L. 1948. Natural evaporation from open water, bare soil and grass. Royal Society. 120–145
Pigeon G, Legain D, Durand P, Masson V. 2007. Anthropogenic heat release in an old European agglomeration (Toulouse, France). Int J Climatol, 27: 1969–1981
Priestley C H B, Taylor R J. 1972. On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev, 100: 81–92
Roerink G J, Su Z, Menenti M. 2000. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance. Phys Chem Earth Part B-Hydrol Oceans Atmos, 25: 147–157
Sailor D J. 2011. A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment. Int J Climatol, 31: 189–199
Sailor D J, Lu L. 2004. A top–down methodology for developing diurnal and seasonal anthropogenic heating profiles for urban areas. Atmos Environ, 38: 2737–2748
Senay G B, Leake S, Nagler P L, Artan G, Dickinson J, Cordova J T, Glenn E P. 2011. Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods. Hydrol Process, 25: 4037–4049
Shi Y F, Wang X Q, Sun Z H, Chen Y Z, Fu Q K. 2015. Urban Building Heights Estimation from the Shadow Information on ZY-3 Images (in Chinese). J Geo-informa Sci, 17: 236–243
Shu S, Yu B L, Wu J P and Liu H X. 2011. Methods for deriving urban built up area using night light data: Assessment and application (in Chinese). Remote Sens Technol Appl, 26: 169–176
Song Z W, Zhang H L, Huang J and Chen F, 2009. Characters of water requirement for main crops and field water balance in Beijing Region (in Chinese). Res Agricul Moderniza, 30: 461–465
Su Z. 2002. The surface energy balance system (SEBS) for estimation of turbulent heat fluxes. Hydrol Earth Syst Sci, 6: 85–100
Su Z, Schmugge T, Kustas W P, Massman W J. 2001. An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere. J Appl Meteorol, 40: 1933–1951
Sugita M, Brutsaert W. 1991. Daily evaporation over a region from lower boundary layer profiles measured with radiosondes. Water Resour Res, 27: 747–752
Sumner D M, Jacobs J M. 2005. Utility of Penman-Monteith, Priestley-Taylor, reference evapotranspiration, and pan evaporation methods to estimate pasture evapotranspiration. J Hydrol, 308: 81–104
Tam B Y, Gough W A, Mohsin T. 2015. The impact of urbanization and the urban heat island effect on day to day temperature variation. Urban Clim, 12: 1–10
Tong H, Liu H Z, Sang J G, Hu F. 2004. The impact of urban anthropogenic heat on Beijing heat environment (in Chinese). Clim Environ Res, 9: 409–421
van den Hurk B J J M, Holtslag A A M. 1997. On the bulk parameterization of surface fluxes for various conditions and parameter ranges. Bound- Layer Meteor, 82: 119–133
Wang Y, Wang H. 2005. Sustainable use of water resources in agriculture in Beijing: Problems and countermeasures. Water Policy, 7: 345–357
Xu C Y, Singh V P. 2005. Evaluation of three complementary relationship evapotranspiration models by water balance approach to estimate actual regional evapotranspiration in different climatic regions. J Hydrol, 308: 105–121
Xu M Y, Li Y Q, Wang K, Cao Y F, Yu H L, Li X F, Li L S, Jing F J, Li J X, Xie F. 2009. Spatial distribution and dynamic characteristics of the grassland vegetation in Hebei (in Chinese). Acta Pratacul Sin, 18: 1–11
Yang J, Wang Z H, Chen F, Miao S, Tewari M, Voogt J A, Myint S. 2015. Enhancing hydrologic modelling in the coupled weather research and Forecasting- Urban modelling system. Bound-Layer Meteor, 155: 87–109
Yang L, Niyogi D, Tewari M, Aliaga D, Chen F, Tian F, Ni G. 2016. Contrasting impacts of urban forms on the future thermal environment: Example of Beijing metropolitan area. Environ Res Lett, 11: 034018
You H L, Ren G Y, Liu W D. 2012. Precipitation changes over the beijing area during 1961–2010 (in Chinese). Desert Oasis Meteorol, 6: 13–20
Zhang C L, Chen F, Miao S G, Li Q C, Xia X A, Xuan C Y. 2009. Impacts of urban expansion and future green planting on summer precipitation in the Beijing metropolitan area. J Geophys Res, 114: D02116
Zhang L J, Sun C Z, Xin X B, Kong Q Y. 2014. Allometric relationship between height and diameter at breast height of different stand in Beijing Jiulong mountain (in Chinese). J Central South Univ Forestry Technol, 34: 66–70
Zhang X W. 2011. Studies on the canopy structrue of plant communities in some Beijing greenbelt. Dissertation for Master Degree (in Chinese). Beijing: Beijing Forestry University
Zheng W W. 2012. Inversion of evapotranspiration on urban land surface based on remote sensing data. Dissertation for Doctoral Degree (in Chinese). Changsha: Central South University
Zhong S, Qian Y, Zhao C, Leung R, Yang X Q. 2015. A case study of urbanization impact on summer precipitation in the Greater Beijing Metropolitan Area: Urban heat island versus aerosol effects. J Geophys Res-Atmos, 120: 10903–10914
Acknowledgements
The forcing dataset used in this study was developed by Data Assimilation and Modeling Center for Tibetan Multi-spheres, Institute of Tibetan Plateau Research, Chinese Academy of Sciences. We would like to thank Beijing Water Authority, Beijing Municipal Bureau of Statistics, NASA and NOAA for providing data freely. Also we are grateful to Prof. Zongbo Su for the assistance in SEBS programming. This work was supported by the National Natural Science Foundation of China (Grant Nos. 51479088, 41630856 & 51279208).
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Cong, Z., Shen, Q., Zhou, L. et al. Evapotranspiration estimation considering anthropogenic heat based on remote sensing in urban area. Sci. China Earth Sci. 60, 659–671 (2017). https://doi.org/10.1007/s11430-016-0216-3
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DOI: https://doi.org/10.1007/s11430-016-0216-3