Spatial-Temporal Analysis of Water Supply Services at Different Scales in the Wuhua River Basin

  • Zhengdong ZhangEmail author
  • Yang Yang
  • Yuchan Chen
  • Tengfei Kuang
  • Jun Cao
  • Songjia Chen
  • Qingpu Li
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1228)


Studying the change of water supply services and its impact mechanism is of great significance for assessing the quality of regional ecological environment. Based on the water production module of the lnVEST model, this paper analyzes the spatial and temporal evolution characteristics of water supply services at different scales (watersheds, sub-watersheds, and hydrological response units) in the Wuhua River Basin, and discusses the reasons for the spatial and temporal changes of water supply services in the study area. The results show that: First, from 1976 to 2016, the precipitation in the Wuhua River Basin first increased, then decreased, and then increased; the average temperature and the average annual evapotranspiration from 1980 to 2015 were 0.0188 ℃·a−1 and 0.5094 mm·a−1 rate increasing, respectively. Second, the main land-use type in the Wuhua River Basin were woodland and cultivated land, which together account for more than 98% of the basin area. From 1980 to 2000, it was mainly the conversion between cultivated land, woodland and grassland. From 2000 to 2015, the land use type was frequently changed, mainly converted to construction land. Third, the water supply services at different scales in the Wuhua River Basin from 1980 to 2015 basically changed. Consistently, They all decrease first and then increase. The spatial distribution of water supply services in the basins in/of different years was significantly different. Finally, from 1980 to 2015, the changes in precipitation and water supply services at different scales in the river basin were almost the same, indicating that precipitation is the main factor affecting water supply services. The land-use type with the strongest water supply capacity is construction land, followed by cultivated land, grassland, woodland, and waters. The research aims to provide a scientific basis for establishing a water resource utilization and economic development model, so as to achieve sustainable social and economic development.


Water supply service Invest model Hydrological response unit Spatial-temporal change 



This study was jointly supported by the National Natural Foundation of China (41471147), and the Graduate Innovation Program of South China Normal University (2018LKXM038).


  1. 1.
    Millennium Ecosystem Assessment: Ecosystems and Human Well-Being: A Framework for Assessment. Island Press, Washington, DC (2003)Google Scholar
  2. 2.
    Daily, G.C.: Nature’s Services Societal Dependence on Natural Ecosystems. Island Press, Washington, DC (1997)Google Scholar
  3. 3.
    Yihui, W., Guihuan, L., Rui, W.: Eco-Compensati on in Guanting reservoir watershed based on spatiotemporal variations of water yield and purification services. J. Resour. Ecol. 9(4), 416–425 (2018)CrossRefGoogle Scholar
  4. 4.
    Marquès, M., Bangash, R.F., Kumar, V., Sharp, R., Schuhmacher, M.: The impact of climate change on water provision under a low flow regime: a case study of the ecosystems services in the Francoli river basin. J. Hazard Mater. 263, 224–232 (2013)CrossRefGoogle Scholar
  5. 5.
    Li, S., Liu, J., Zhang, C., et al.: Research trends of ecosystem services and geographical research paradigm. Acta Geogr. Sin. 66(12), 1618–1630 (2011)Google Scholar
  6. 6.
    Pan, T., Wu, S., Dai, E., et al.: Spatial-temporal change of water supply and service of ecosystem in sanjiangyuan district based on InVEST model. Chin. J. Appl. Ecol. 24(01), 183–189 (2013)Google Scholar
  7. 7.
    Bao, Y., Li, T., Liu, H., et al.: Spatial-temporal change of water conservation function in loess plateau of northern shanxi based on InVEST model. Geogr. Res. 35(04), 664–676 (2016)Google Scholar
  8. 8.
    Jie, X., Xiao, Yu., Gaodi, X., et al.: Spatial and temporal pattern analysis of water supply and service in dong jiang river basin. Acta Ecol. Sin. 15(36), 4892–4906 (2016)Google Scholar
  9. 9.
    Zhang, L., Cheng, L., Chiew, F., Fu, B.: Understanding the impacts of climate and landuse change on water yiled. Environ. Sustain. 33, 167–174 (2018)Google Scholar
  10. 10.
    Yin, Y., Wu, S., Zhao, D., Dai, E.: Impacts of climate change on water conservation in the source area of the Yellow River over the past 30 years. Geogr. Res. 35(01), 49–57 (2016)Google Scholar
  11. 11.
    He, S., Ye, L., Zhu, W., et al.: Study on soil erosion and water supply change in the shanqi river basin of Taihang from 2000 to 2015. Geogr. Res. 37(09), 1775–1788 (2018)Google Scholar
  12. 12.
    Zhao, W., Liu, Y., Feng, Q., et al.: Ecosystem services under the coupling framework of human and earth systems. Progr. Geogr. 37(01), 139–151 (2018)CrossRefGoogle Scholar
  13. 13.
    Wu, B., Wang, J., Qi, S., et al.: A review of quantitative methods for ecosystem service tradeoffs and future model development. J. Resour. Ecol. 10(02), 225–233 (2019)CrossRefGoogle Scholar
  14. 14.
    Sherrouse, B.C., Clement, J.M., Semmens, D.J.: A GIS application for assessing, mapping, and quantifying the social values of ecosystem services. Appl. Geogr. 31(2), 748–760 (2011)CrossRefGoogle Scholar
  15. 15.
    Li, T., Lu, Y.: Research progress of ecosystem service modeling technology. Acta Ecologica Sinica 38(15), 5287–5296 (2018)Google Scholar
  16. 16.
    Liang, Ma., Taotao, J., Yihui, W., et al.: InVEST model research progress. Ecol. Econ. 10(31), 126–131 (2015)Google Scholar
  17. 17.
    Sharp, R., Tallis, H.T., Ricketts, T., et al.: InVEST3.2.0 user’s guide. The Natural Capital Project, Stanford (2015)Google Scholar
  18. 18.
    Yuchu, X., Jie, G., Suxin, Z., et al.: Spatial-temporal pattern of biodiversity in Bailong river basin landscape based on remote sensing and InVEST models. Geogr. Sci. 38(06), 979–986 (2018)Google Scholar
  19. 19.
    Hou, H., Dai, E., Zhang, M.: Research progress of InVEST model application. J. Cap. Norm. Univ. Nat. Sci. Ed. 04(39), 62–67 (2018)Google Scholar
  20. 20.
    Chen, Y., Zhang, Z., Wan, L., et al.: Identification of non-point source pollution risk areas and risk paths in Wuhua river basin. Acta Geogr. Sin. 73(09), 1765–1777 (2018)Google Scholar
  21. 21.
    Liu, A.: Record of Guangdong Soil Species. Science Press, Beijing (1996)Google Scholar
  22. 22.
    Li, M., Han, H., Liu, X., et al.: Study on optimal sub-watershed division scheme for SWAT model-a case study of Erhai river basin in Yunnan province. China Agrometeorol. 33(02), 185–189 (2012)Google Scholar
  23. 23.
    Li, J., Zhou, Z.: Landscape pattern and ecological hydrological process analysis of Yanhe river basin. Acta Geographica Sinica 69(07), 933–944 (2014)Google Scholar
  24. 24.
    Wang, J., Xie, D., Ni, J., et al.: Identification of soil erosion risk pattern in watershed based on Yuanhui landscape unit. Acta Ecol. Sin. 37(24), 8216–8226 (2017)Google Scholar
  25. 25.
    Budyko, M.I.: Climate and Life. Academic Press, New York (1974)Google Scholar
  26. 26.
    Liu, Z., Yu, X., Wang, S., et al.: Comparison of precipitation interpolation accuracy of three covariate methods in thin disk smooth spline interpolation. Progr. Geogr. 31(01), 56–62 (2012)Google Scholar
  27. 27.
    Hutchinson, M.F., Xu, T.B.: Anusplin Version 4.4 User Guide. The Australian National University, Canberra (2013)Google Scholar
  28. 28.
    Chen, Z., Zhang, Z.: Drought index and drought monitoring and control system. China Desert 15(01), 10–18 (1995)Google Scholar
  29. 29.
    Thornthwaite, C.W.: An approach toward a rational classification of climate. Geogr. Rev. 01(38), 55–94 (1948)CrossRefGoogle Scholar
  30. 30.
    Liu, J., Ning, J., Kuang, W., et al.: Spatial and temporal patterns and new characteristics of land use change in China from 2010 to 2015. Acta Geogr. Sin. 73(05), 789–802 (2018)Google Scholar
  31. 31.
    Zhou, W.: Study on soil available moisture content of main soil types in China based on GIS. Nan Jing Agricultural University (2003)Google Scholar
  32. 32.
    Canadell, J., Jackson, R.B., Ehleringer, J.B., Mooney, H.A., Sala, O.E., Schulze, E.D.: Maximum rooting depth of vegetation types at the global scale. Oecologia 108(4), 583–595 (1996). Scholar
  33. 33.
    Allen, R.G., Pereira, L.S., Raes, D., Smith, M.: Crop evapotranspiration-guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO Rome 300(9), 1–15 (1998)Google Scholar
  34. 34.
    Zhou, J., Gao, J., Gao, Z., Yang, W.: Analysis of water conservation services in forest ecosystems. Acta Ecologica Sinica 38(05), 1679–1686 (2018)Google Scholar
  35. 35.
    Liu, H., Wu, J., Chen, X.: Spatio-temporal changes and trade-offs of ecosystem services in the Danjiangkou water source area. Acta Ecologica Sinica 38(13), 4609–4624 (2018)Google Scholar
  36. 36.
    Ye, L.: Spatial heterogeneity analysis of water supply and service in Qi river basin. HeNan University (2018)Google Scholar
  37. 37.
    Wang, Y., Zhao, J., Fu, J., Wei, W.: Quantitative assessment and spatial difference of water conservation function in Shiyang River Basin. Acta Ecologica Sinica 38(13), 1–12 (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Zhengdong Zhang
    • 1
    Email author
  • Yang Yang
    • 1
  • Yuchan Chen
    • 2
  • Tengfei Kuang
    • 1
  • Jun Cao
    • 1
  • Songjia Chen
    • 1
  • Qingpu Li
    • 3
  1. 1.College of GeographySouth China Normal UniversityGuangzhouChina
  2. 2.Guangzhou Institute of GeographyGuangzhouChina
  3. 3.Guangdong Institute of Ecological Environment and SoilGuangzhouChina

Personalised recommendations