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Influence of the urban spatial layout of central Beijing on the atmospheric humidity field

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Abstract

Based on the meteorological data (2009–2018) acquired by high-density automatic meteorological stations in the central urban area (CUA) of Beijing, this study adopted an urban-rural ratio method to construct a qr to quantify the impact of urbanization on the spatial and temporal distribution of specific humidity (q). And the urban morphological parameters such as building height (BH), building density (BD), floor area ratio (FAR), sky view factor (SVF), and land surface parameters including vegetation coverage (VC) and impervious coverage (IC) with 500-m spatial resolution in CUA were calculated, and furthermore, the relationships between the six spatial layout parameters and another indicator, urban heat island (UHI) intensity, and qr were studied. The results show that q of CUA is 81~114% of that of the suburbs, and the urban dry island (UDI) effect and urban wet island (UWI) effect coexist throughout the year. The maximum UDI occurs during autumn daytime and the maximum UWI appears at night in winter. The UDI effect is prone to occur in areas with VC < 11%, IC >85%, BH > 15 m, and BD > 24%, while the UWI effect is more likely to appear in areas with VC > 35% and FAR < 0.3. The contributions of the six urbanization parameters to the spatial change of qr in different time periods are 6.2 to 33.5%, and VC is the largest (33.5%), followed by BD (31.9%) and SVF (29.9%), and the main factor affecting the annual average qr is BD with the contribution of 18.9%. Compared with the urbanization parameters, the UHI is more important and the contribution to the change of q can be up to 35.7%. The results show that these spatial layout parameters are not sufficient to explain the main change in q, and more other parameters need to be considered.

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References

  • Chen J, Li Q, Niu J, Sun LQ (2011) Regional climate change and local urbanization effects on weather variables in Southeast China. Stoch Env Res Risk A 25(4):555–565

    Article  Google Scholar 

  • Chen L, Ng E, An X, Ren C, Lee M, Wang U, Ho JCK (2012) Sky view factor analysis of street canyons and its implications for daytime intra-urban air temperature differentials in high-rise, high-density urban areas of Hong Kong: a GIS-based simulation approach. Int J Climatol 32(1):121–136

    Article  Google Scholar 

  • Cheng J, Ren YJ, Zhang Y, Xu YY (2017) Impact analysis of urbanization on wind speed and relative humidity in Xianning area. Meteorol Environ Sci 40(4):57–62 (in Chinese)

    Google Scholar 

  • Cuadrat JM, Sergio VS, Saz MA (2015) Influence of different factors on relative air humidity in Zaragoza, Spain. Front Earth Sci 3:10

    Article  Google Scholar 

  • Ding YH, Liu YJ (2014) Analysis of long-term variations of fog and haze in China in recent 50 years and their relations with atmospheric humidity. Scientia Sinica(Terrae) 44(1):37–48 (in Chinese)

    Google Scholar 

  • Dou YW, Qu YG, Tao SW, Hu BK (2008) The application of quality control procedures for real-time data from automatic weather stations. Meteorological Monthly 34(8):77–81 (in Chinese)

    Google Scholar 

  • Dou JJ, Wang YC, Miao SG (2014) Fine spatial and temporal characteristics of humidity and wind in Beijing urban area. J Appl Meteorol Sci 25(5):559–569 (in Chinese)

    Google Scholar 

  • Fan GF, Ma H, Zhang XW, Liu Y (2016) Impacts of relative humidity and PM2.5 concentration on atmospheric visibility: a comparative study of hourly observations of multiple stations. Acta Meteorologica Sinica 74(6):959–973 (in Chinese)

    Google Scholar 

  • Ferreira LS, Duarte DHS (2019) Exploring the relationship between urban form, land surface temperature and vegetation indices in a subtropical megacity. Urban Clim 27:105–123

    Article  Google Scholar 

  • Gál T, Rzepa M, Gromek B, Unger J (2007) Comparison between sky view factor values computed by two different methods in an urban environment. Acta Climatologica Et Chorologica, Universitatis Szegediensis 40-41:27–36

    Google Scholar 

  • Gál T, Lindberg F, Unger J (2009) Computing continues sky view factor using 3D urban raster and vector databases: comparison and application to urban climate. Theor Appl Climatol 95(1-2):111–123

    Article  Google Scholar 

  • Gu KK, Zhu LL (2017) Study on the relationships between development intensity and microclimate in urban residential areas—a case of Hefei. Ecol Environ Sci 26(12):2084–2092 (in Chinese)

    Google Scholar 

  • Guo XY (2019) Study on population simulation based on NPP/VIIRS night light. Territory & Natural Resources Study 2019(3):56–58

    Google Scholar 

  • He XD, Li YH, Wang XR, Chen L, Yu B, Zhang YZ, Miao SG (2019) High-resolution dataset of urban canopy parameters for Beijing and its application to the integrated WRF_urban modelling system. J Clean Prod 208:373–383

    Article  Google Scholar 

  • Holmer B, Thorsson S, Linden J (2013) Evening evapotranspirative cooling in relation to vegetation and urban geometry in the city of Ouagadougou, Burkina Faso. Int JClimatol 33:3089–3105

    Article  Google Scholar 

  • Kotharkar R, Bagade A (2018) Evaluating urban heat island in the critical local climate zones of an Indian city. Landsc Urban Plan 169:92–104

    Article  Google Scholar 

  • Le M, Wang SG, Zhang Z, Ma WP, Li HF, Shang KZ (2019) Analysis of spatio-temporal changes in human comfort levels from 1961-2014 in China Mainland. Journal of Lanzhou University(Natural Sciences) 55(4):455–462 (in Chinese)

    Google Scholar 

  • Li L, Chan PW, Wang D, Tan MY (2015) Rapid urbanization effect on local climate: intercomparison of climate trends in Shenzhen and Hong Kong, 1968-2013. Clim Res 63(2):145–155

    Article  Google Scholar 

  • Li XH, Hu D, Han FS, Zhou HX (2017) The impact of architectural form on micrometeorology in high residential community. Ecol Sci 36(1):178–185 (in Chinese)

    Google Scholar 

  • Liang H, Guo Z, Wu J, Chen Z (2020) GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression. Adv Space Res 65(1):481–493

    Article  Google Scholar 

  • Liu WD, You HL, Dou JJ (2009) Urban-rural humidity and temperature differences in the Beijing area. Theor Appl Climatol 96:201–207

    Article  Google Scholar 

  • Liu YH, Xu YM, Ma JJ, Quan WJ (2014) Quantitative assessment and planning simulation of Beijing urban heat island. Ecology and Environment Sciences 23(7):1156–1163 (in Chinese)

    Google Scholar 

  • Liu YH, Fang XY, Xu YM, Zhang S, Luan QZ (2018) Assessment of surface urban heat island across China’s three main urban agglomerations. Theor Appl Climatol 133:473–488

    Article  Google Scholar 

  • Luo M, Lau NC (2019) Urban expansion and drying climate in an urban agglomeration of East China. Geophys Res Lett 46(12):6868–6877

    Article  Google Scholar 

  • Ma FL, Ding L, Wang H (2009) Dry and moisture island effects and its responses to the urbanization in Chengde, Hebei province. Journal of Meteorology and Environment 25(03):16–20 (in Chinese)

    Google Scholar 

  • Miao SG, Wang XY, Jiang WM, Wang YW, Chen XY (2013) Impact on atmospheric environment by green space layout in urban planning: a case study on green space planning of Chengdu. City Planning Review 37(6):43–48 (in Chinese)

    Google Scholar 

  • Middel A, Lukasczyk J, Maciejewski R, Demuzere M, Roth M (2018) Sky view factor footprints for urban climate modeling. Urban Clim 25:120–134

    Article  Google Scholar 

  • Moriwaki R, Watanabe K, Morimoto K (2013) Urban dry island phenomenon and its impact on cloud base level. J JSCE 1:521–529

    Article  Google Scholar 

  • Ng E, Ren C, Katzschner L (2012) Urban climatic mapping in Hong Kong. Journal of Heat Island Institute International 7(2):55–64

    Google Scholar 

  • Oke TR (1987) Boundary layer climates[M]. Methuen ,2nd Edition, 455.

  • Oke TR, Mills G, Christen A and Voogt JA (2017) Urban climates, Cambridge University Press, 254–268.

  • Ratti CF (2001) Urban analysis for environmental prediction[D]. Drawing college, University of Cambridge

  • Ren C (2016) Urban ventilation assessment and wind corridor plan: creating breathing cities[M]. China Architecture & Building Press, Beijing, pp 266–268 (in Chinese)

    Google Scholar 

  • Ren C, Ng E, Katzschner L (2011) Urban climatic map studies: a review. Int J Climatol 31(15):2213–2233

    Article  Google Scholar 

  • Ridd MK (1995) Exploring a V-I-S (Vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. Int J Remote Sens 16(2):2165–2185

    Article  Google Scholar 

  • Safa AY, Fakhe K (2016) Outdoor thermal comfort: impact of the geometry of an urban street canyon in a mediterranean subtropical climate –case study Tunis, Tunisia. Procedia Soc Behav Sci 216:689–700

    Article  Google Scholar 

  • Stewart ID, Oke TR (2012) Local climate zones for urban temperature studies. Bull Am Meteorol Soc 93(12):1879–1900

    Article  Google Scholar 

  • Touchaei AG, Wang Y (2015) Characterizing urban heat island in Montreal (Canada)—effect of urban morphology. Sustain Cities Soc 19:395–402

    Article  Google Scholar 

  • Um H, Ha K, Lee S (2007) Evaluation of the urban effect of long-term relative humidity and the separation of temperature and water vapor effects. Int J Climatol 27:1531–1542

    Article  Google Scholar 

  • Unger J (1999) Urban-rural air humidity differences in Szeged, Hungary. Int J Climatol 19(13):1509–1515

    Article  Google Scholar 

  • Unger J, Skarbit N, Gál T (2018a) Absolute moisture content in mid-latitude urban canopy layer, Part 1: a literature review. Acta Climatol Chorol 51-52:37–45

    Article  Google Scholar 

  • Unger J, Skarbit N, Gál T (2018b) Absolute moisture content in mid-latitude urban canopy layer, Part 2: results from Szeged, Hungary. Acta Climatol Chorol 51-52:47–56

    Article  Google Scholar 

  • Verdonck ML, Demuzere M, Hooyberghs H (2018) The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data. Landsc Urban Plan 178:183–197

    Article  Google Scholar 

  • Xu Y, Ren C, Ma PF, Ho J, Wang WW, Lau KK, Lin H, Ng E (2017) Urban morphology detection and computation for urban climate research. Landsc Urban Plan 167:212–224

  • Yan Z, Wang WJ, Li Z, Liu WD (2014) Assessing climatic effects of urbanization based on homogenized daily observations. Adv Meteorol Sci Technol 4(3):41–48 (in Chinese)

    Google Scholar 

  • Yang F, Qian F, Lau SSY (2013) Urban form and density as indicators for summertime outdoor ventilation potential: a case study on high-rise housing in Shanghai. Build Environ 70:122–137

    Article  Google Scholar 

  • Yang P, Ren GY, Hou W (2017) Tempo–spatial patterns of relative humidity and the urban dryness island effect in Beijing City. J Appl Meteorol Climatol 56(8):2221–2237

    Article  Google Scholar 

  • Yang X, Yao L, Jin T, Peng LLH, Jiang ZD, Hu ZY, Ye YH (2018) Assessing the thermal behavior of different local climate zones in the Nanjing metropolis, China. Build Environ 137:171–184

    Article  Google Scholar 

  • Yang XS, Peng LLH, Chen Y, Yao LY, Wang QQ (2020) Air humidity characteristics of local climate zones: a three-year observational study in Nanjing. Build Environ 171:106661

    Article  Google Scholar 

  • Yu HY, Zhang J, Li T, Wei J, Zhao L (2018) Spatia-temporal variation of atmospheric aerosol optical depth and the meteorological factors in Beijing and surrounding area from 2000 to 2013. J Meteorol Sci 38(04):94–104 (in Chinese)

    Google Scholar 

  • Zakšek K, Oštir K, Žiga K (2011) Sky-view factor as a relief visualization technique. Remote Sens 3:398–415

    Article  Google Scholar 

  • Zhang S, Huang G, Qi Y, Jia GS (2018) Impact of urbanization on summer rainfall in Beijing-Tianjin-Hebei metropolis under different climate backgrounds. Theor Appl Climatol 133(3/4):1093–1106

    Article  Google Scholar 

  • Zheng ZF, Ren GY (2018) Analysis on atmospheric humidity change and its response to urbanization in Beijing area. Meteorological Monthly 44(11):97–104 (in Chinese)

    Google Scholar 

  • Zhou Y, Shi TM, Hu YM, Liu M (2014) Study on green space landscape pattern optimization based on urban climatic environment features. City Planning Review 38(5):83–89 (in Chinese)

    Google Scholar 

Download references

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Our data and codes support the findings of this study and can be obtained from the corresponding author if necessary.

Funding

This research is sponsored by the Beijing Natural Science Fund (8192020).

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Contributions

1. Liu Yonghong: writing—original draft; data curation

2. Xu Yongming: spatial morphological parameter extraction

3. Han Xiuzhen: main research ideas and article structure organization

4. Shu Wenjun: meteorogical data calculation

5. Weng Fuzhong: manuscript revision and important suggestions

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Correspondence to Xiuzhen Han.

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Liu, Y., Xu, Y., Han, X. et al. Influence of the urban spatial layout of central Beijing on the atmospheric humidity field. Theor Appl Climatol 145, 455–471 (2021). https://doi.org/10.1007/s00704-021-03621-0

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