Journal of Geographical Sciences

, Volume 29, Issue 6, pp 922–934 | Cite as

Effects of different land use types on potential evapotranspiration in the Beijing-Tianjin-Hebei region, North China

  • Jingyan Han
  • Yong ZhaoEmail author
  • Jianhua Wang
  • Bing Zhang
  • Yongnan Zhu
  • Shan Jiang
  • Lizhen Wang


Potential evapotranspiration (ET0) is vital for hydrologic cycle and water resource assessments as well as crop water requirement and irrigation demand assessments. The Beijing-Tianjin-Hebei region (Jing-Jin-Ji)—an important, large, regional, economic community in China has experienced tremendous land use and land cover changes because of urbanisation and ecological restoration, affecting the hydrologic cycle and water resources of this region. Therefore, we analysed ET0 in this region using climate data from 22 meteorological stations for the period 1991–2015 to understand this effect. Our findings show that ET0 increased significantly at a rate of 7.40 mm per decade for the region. Based on the major land use type surrounding them, the meteorological stations were classified as urban, farmland, and natural stations using the 2015 land use dataset. The natural stations in the northern mountainous area showed a significant increase in ET0, whereas most urban and farmland stations in the plain area showed a decrease in ET0, with only a few of the stations showing an increase. Based on the different ET0 trends for different land use types, these stations can be ranked as follows: urban stations (trend value: −4.663 to −1.439) > natural stations (trend value: 2.58 to 3.373) > farmland stations (trend value: −2.927 to −0.248). Our results indicate that land use changes affect meteorological parameters, such as wind speed and sunshine duration, which then lead to changes in ET0. We noted that wind speed was the dominant parameter affecting ET0 at all the natural stations, and wind speed and sunshine duration were the dominant parameters affecting ET0 at most of the urban stations. However, the main controlling parameters affecting ET0 at the farmland stations varied. These results present a scope for understanding land use impact on ET0, which can then be applied to studies on sustainable land use planning and water resource management.


land use potential evapotranspiration meteorological parameters water resource management Jing-Jin-Ji region 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Allen R G, Pereira, L S, Raes D et al., 1998. Crop Evapotranspiration: Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper No.56. FAO, Rome, Italy.Google Scholar
  2. Boisier J P, de Noblet-Ducoudré N, Ciais P, 2014. Historical land-use-induced evapotranspiration changes estimated from present-day observations and reconstructed land-cover maps. Hydrology and Earth System Sciences, 18(9): 3571–3590.CrossRefGoogle Scholar
  3. Dong J, Zhuang D F, Xu X L et al., 2008. Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: A case study in Jingjinji area, China. Sensors, 8(9): 5975–5986.CrossRefGoogle Scholar
  4. Feng Z M, Liu D W, 2006. A study on water resources carrying capacity in Jing-Jin-Ji Region. Journal of Natural Resources, 21(5): 689–699. (in Chinese)Google Scholar
  5. Gong L B, Xu C Y, Chen D L et al., 2006. Sensitivity of the Penman-Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. Journal of Hydrology, 329(3): 620–629.CrossRefGoogle Scholar
  6. Han J Y, Wang J H, Zhao Y et al., 2018. Spatio-temporal variation of potential evapotranspiration and climatic drivers in the Jing-Jin-Ji region, North China. Agricultural and Forest Meteorology, 256: 75–83.CrossRefGoogle Scholar
  7. Han S J, Hu H P, 2012. Spatial variations and temporal changes in potential evaporation in the Tarim Basin, northwest China (1960–2006): Influenced by irrigation? Hydrological Processes, 26(20): 3041–3051.CrossRefGoogle Scholar
  8. Han S J, Tang Q H, Zhang X Z et al., 2016. Surface wind observations affected by agricultural development over Northwest China. Environmental Research Letters, 11(5). doi:
  9. Han S J, Xu D, Wang S L, 2012. Decreasing potential evaporation trends in China from 1956 to 2005: Accelerated in regions with significant agricultural influence? Agricultural and Forest Meteorology, 154: 44–56.CrossRefGoogle Scholar
  10. Han S J, Yang Z Y, 2013. Cooling effect of agricultural irrigation over Xinjiang, Northwest China from 1959 to 2006. Environmental Research Letters, 8(2): doi:
  11. Huang Y H, Wang J H, Jiang D et al., 2014. Surface water deficiency zoning of China based on surface water deficit index (SWDI). Water Resources, 41(4): 372–378.CrossRefGoogle Scholar
  12. Huo Z L, Dai X Q, Feng S Y et al., 2013. Effect of climate change on reference evapotranspiration and aridity index in arid region of China. Journal of Hydrology, 492: 24–34.CrossRefGoogle Scholar
  13. Jhajharia D, Shrivastava S K, Sarkar D et al., 2009. Temporal characteristics of pan evaporation trends under the humid conditions of northeast India. Agricultural and Forest Meteorology, 149(5): 763–770.CrossRefGoogle Scholar
  14. Jiang B, Liang S L, Yuan W P, 2015. Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger Causality test. Journal of Geophysical Research, 120(1): 1–12.Google Scholar
  15. Jiang Y, Luo Y, Zhao Z C et al., 2010. Changes in wind speed over China during 1956–2004. Theoretical and Applied Climatology, 99(3/4): 421–430.CrossRefGoogle Scholar
  16. Kundu S, Khare D, Mondal A, 2017. Past, present and future land use changes and their impact on water balance. Journal of Environmental Management, 197: 582–596.CrossRefGoogle Scholar
  17. Li G, Zhang F M, Jing Y S et al., 2017. Response of evapotranspiration to changes in land use and land cover and climate in China during 2001–2013. Science of The Total Environment, 596: 256–265.CrossRefGoogle Scholar
  18. Li Z X, Feng Q, Liu W et al., 2014. Spatial and temporal trend of potential evapotranspiration and related driving forces in southwestern China, during 1961–2009. Quaternary International, 336: 127–144.CrossRefGoogle Scholar
  19. Liu C M, Liu X M, Zheng H X et al., 2010. Change of the solar radiation and its causes in the Haihe River Basin and surrounding areas. Journal of Geographical Sciences, 20(4): 569–580.CrossRefGoogle Scholar
  20. Liu M L, Tian H Q, Chen G S et al., 2008. Effects of land-use and land-cover change on evapotranspiration and water yield in China during 1900–2000. Journal of the American Water Resources Association, 44(5): 1193–1207.CrossRefGoogle Scholar
  21. Liu W J, Hong Y, Khan S I et al., 2010. Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 data. Journal of Applied Remote Sensing, 4(1). doi:
  22. Ma X N, Zhang M J, Li Y J et al., 2012. Decreasing potential evapotranspiration in the Huanghe River watershed in climate warming during 1960–2010. Journal of Geographical Sciences, 22(6): 977–988.CrossRefGoogle Scholar
  23. Olchev A, Ibrom A, Priess J et al., 2008. Effects of land-use changes on evapotranspiration of tropical rain forest margin area in Central Sulawesi (Indonesia): Modelling study with a regional SVAT model. Ecological Modelling, 212(1/2): 131–137.CrossRefGoogle Scholar
  24. Wang J H, Wang Q M, Zhao Y et al., 2015. Temporal and spatial characteristics of pan evaporation trends and their attribution to meteorological drivers in the Three-River Source Region, China. Journal of Geophysical Research: Atmospheres, 120(13): 6391–6408.Google Scholar
  25. Wang Q M, Wang J H et al., 2016. Reference evapotranspiration trends from 1980 to 2012 and their attribution to meteorological drivers in the Three-River Source Region, China. International Journal of Climatology, 36(11): 3759–3769.CrossRefGoogle Scholar
  26. Wang W G, Peng S Z, Yang T et al., 2011. Spatial and temporal characteristics of reference evapotranspiration trends in the Haihe River basin, China. Journal of Hydrologic Engineering, 16(3): 239–252.CrossRefGoogle Scholar
  27. Xu L H, Shi Z J, Wang Y H et al., 2015. Spatiotemporal variation and driving forces of reference evapotranspiration in Jing River Basin, northwest China. Hydrological Processes, 29(23): 4846–4862.CrossRefGoogle Scholar
  28. Zhang Y. L, Qin B. Q, Chen W M, 2004. Analysis of 40 year records of solar radiation data in Shanghai, Nanjing and Hangzhou in eastern China. Theoretical and Applied Climatology, 78(4): 217–227.CrossRefGoogle Scholar
  29. Zhao L L, Xia J, Sobkowiak L et al., 2014. Climatic characteristics of reference evapotranspiration in the Hai River Basin and their attribution. Water, 6(6): 1482–1499.CrossRefGoogle Scholar
  30. Zhu G F, He Y Q, Pu T et al., 2012. Spatial distribution and temporal trends in potential evapotranspiration over Hengduan Mountains region from 1960 to 2009. Journal of Geographical Sciences, 22(1): 71–85.CrossRefGoogle Scholar
  31. Zou M Z, Niu J, Kang S Z et al., 2017. The contribution of human agricultural activities to increasing evapotranspiration is significantly greater than climate change effect over Heihe agricultural region. Scientific Reports, 7(1). doi:

Copyright information

© Science Press Springer-Verlag 2019

Authors and Affiliations

  • Jingyan Han
    • 1
    • 2
  • Yong Zhao
    • 2
    Email author
  • Jianhua Wang
    • 2
  • Bing Zhang
    • 3
  • Yongnan Zhu
    • 2
  • Shan Jiang
    • 2
  • Lizhen Wang
    • 2
  1. 1.Institute of Hydrology and Water Resources, Department of Hydraulic EngineeringTsinghua UniversityBeijingChina
  2. 2.State Key Laboratory of Simulation and Regulation of Water Cycle in River BasinChina Institute of Water Resources and Hydropower ResearchBeijingChina
  3. 3.Tianjin Key Laboratory of Water Resources and EnvironmentTianjin Normal UniversityTianjinChina

Personalised recommendations