Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China

Zeman Liu , Li Rong , Wei Wei

Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (1) : 19 -28.

PDF
Geography and Sustainability ›› 2023, Vol. 4 ›› Issue (1) :19 -28. DOI: 10.1016/j.geosus.2022.11.006
research-article

Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China

Author information +
History +
PDF

Abstract

Land use/cover change (LUCC) plays a key role in altering surface hydrology and water balance, finally affecting the security and availability of water resources. However, mechanisms underlying LUCC determination of water-balance processes at the basin scale remain unclear. In this study, the Soil and Water Assessment Tool (SWAT) model and partial least squares regression were used to detect the effects of LUCC on hydrology and water components in the Zuli River Basin (ZRB), a typical watershed of the Yellow River Basin. In general, three recommended coefficients (R² and Ens greater than 0.5, and Pbias less than 20%) indicated that the output results of the SWAT model were reliable and that the model was effective for the ZRB. Then, several key findings were obtained. First, LUCC in the ZRB was characterized by a significant increase in forest (21.61%) and settlement (23.52%) and a slight reduction in cropland (-1.35%), resulting in a 4.93% increase in evapotranspiration and a clear decline in surface runoff and water yield by 15.68% and 2.95% at the whole basin scale, respectively. Second, at the sub-basin scale, surface runoff and water yield increased by 14.26%-36.15% and 5.13%-15.55%, respectively, mainly due to settlement increases. Last, partial least squares regression indicated that urbanization was the most significant contributor to runoff change, and evapotranspiration change was mainly driven by forest expansion. These conclusions are significant for understanding the relationship between LUCC and water balance, which can provide meaningful information for managing water resources and the long-term sustainability of such watersheds.

Keywords

Surface runoff / Evapotranspiration / SWAT model / Land use change / Yellow River

Cite this article

Download citation ▾
Zeman Liu, Li Rong, Wei Wei. Impacts of land use/cover change on water balance by using the SWAT model in a typical loess hilly watershed of China. Geography and Sustainability, 2023, 4(1): 19-28 DOI:10.1016/j.geosus.2022.11.006

登录浏览全文

4963

注册一个新账户 忘记密码

Declaration of Competing Interests

The authors declare that there are no known competing financial interests or personal relationships that influenced the work reported in this paper.

Acknowledgements

This research was jointly supported by the National Natural Science Foundation of China (Grants No. U21A2011, 41991233 and 41971129), the National Key Research and Development Program of China (Grant No. SQ2022YFF1300053) and the Distinguished Membership Project of the Youth Innovation Promotion Association of Chinese Academy of Sciences (Grant No. Y201812).

References

[1]

Alibuyog, N., Ella, V., Reyes, M., Srinivasan, R., Heatwole, C., Dillaha, T., 2009. Predicting the effects of land use change on runoff and sediment yield in manupali river subwatersheds using the SWAT model. Int. Agric. Eng. J. 18 (1-2), 15-25.

[2]

Anand, J., Gosain, A.K., Khosa, R., 2018. Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model. Sci. Total Environ. 644, 503-519.

[3]

Arnold, J.G., Srinivasan, R., Muttiah, R.S., Williams, J.R., 1998. Large area hydrologic modeling and assessment Part I: Model development. J. Am. Water Resour. Assoc. 34, 73-89.

[4]

Awotwi, A., Anornu, G.K., Quaye-Ballard, J.A., Annor, T., Forkuo, E.K., Harris, E., Agyekum, J., Terlabie, J.L., 2019. Water balance responses to land-use/land-cover changes in the Pra River Basin of Ghana, 1986-2025. Catena 182, 104129.

[5]

Carrascal, L.M., Galván, I., Gordo, O., 2009. Partial least squares regression as an alternative to current regression methods used in ecology. Oikos 118, 681-690.

[6]

Chauhan, N., Kumar, V., Paliwal, R., 2020. Quantifying the impacts of decadal landuse change on the water balance components using soil and water assessment tool in Ghaggar river basin. SN Appl. Sci. 2, 1777.

[7]

Chawla, I., Mujumdar, P., 2015. Isolating the impacts of land use and climate change on streamflow. Hydrol. Earth Syst. Sci. 19, 3633-3651.

[8]

Fan, M., Shibata, H., Wang, Q., 2016. Optimal conservation planning of multiple hydrological ecosystem services under land use and climate changes in Teshio river watershed, northernmost of Japan. Ecol. Indic. 62, 1-13.

[9]

Feng, X., Fu, B., Piao, S., Wang, S., Ciais, P., Zeng, Z., Y., Zeng, Y., Li, Y., Jiang, X., Wu, B., 2016. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nat. Clim. Change 6, 1019-1022.

[10]

Fu, B., Wang, S., Liu, Y., Liu, J., Liang, W., Miao, C., 2017. Hydrogeomorphic ecosystem responses to natural and anthropogenic changes in the Loess Plateau of China. Annu. Rev. Earth Planet. Sci. 45, 223-243.

[11]

Ge, J., Pitman, A.J., Guo, W., Zan, B., Fu, C., 2020. Impact of revegetation of the Loess Plateau of China on the regional growing season water balance. Hydrol. Earth Syst. Sci. 24, 515-533.

[12]

Gebremicael, T.G., Mohamed, Y.A., Van der Zaag, P., 2019. Attributing the hydrological impact of different land use types and their long-term dynamics through combining parsimonious hydrological modelling, alteration analysis and PLSR analysis. Sci. Total Environ. 660, 1155-1167.

[13]

Geng, X., Wang, X., Yan, H., Zhang, Q., Jin, G., 2015. Land use/land cover change induced impacts on water supply service in the upper reach of Heihe River Basin. Sustainability 7, 366-383.

[14]

Goonetilleke, A., Thomas, E., Ginn, S., Gilbert, D., 2005. Understanding the role of land use in urban stormwater quality management. J. Environ. Manage. 74, 31-42.

[15]

Gyamfi, C., Ndambuki, J.M., Salim, R.W., 2016. Hydrological responses to land use/cover changes in the Olifants Basin, South Africa. Water 8, 588.

[16]

Hu, J., Wu, Y., Wang, L., Sun, P., Zhao, F., Jin, Z., Wang, Y., Qiu, L., Lian, Y., 2021. Impacts of land-use conversions on the water cycle in a typical watershed in the southern Chinese Loess Plateau. J. Hydrol. 593, 125741.

[17]

Huang, C., Yang, Q., Huang, W., Zhang, J., Li, Y., Yang, Y., 2018. Hydrological response to precipitation and human activities-A case study in the Zuli River Basin, China. Int. J. Environ. Res. Public. Health 15 (12), 2780.

[18]

Jacobson, C.R., 2011. Identification and quantification of the hydrological impacts of imperviousness in urban catchments: A review. J. Environ. Manage. 92, 1438-1448.

[19]

Jewitt, G.P.W., Garratt, J.A., Calder, I.R., Fuller, L., 2004. Water resources planning and modelling tools for the assessment of land use change in the Luvuvhu Catchment, South Africa. Phys. Chem. Earth 29, 1233-1241.

[20]

Kundu, S., Khare, D., Mondal, A., 2017. Past, present and future land use changes and their impact on water balance. J. Environ. Manage. 197, 582-596.

[21]

Leng, M., Yu, Y., Wang, S., Zhang, Z., 2020. Simulating the hydrological processes of a meso-scale watershed on the Loess Plateau, China. Water 12, 878.

[22]

Li, S., Yang, H., Lacayo, M., Liu, J., Lei, G., 2018. Impacts of land-use and land-cover changes on water yield: A case study in Jing-Jin-Ji, China. Sustainability 10, 960.

[23]

Li, X., Zhang, Y., Ma, N., Li, C., Luan, J., 2021. Contrasting effects of climate and LULC change on blue water resources at varying temporal and spatial scales. Sci. Total Environ. 786, 147488.

[24]

Li, Y., Chang, J., Luo, L., Wang, Y., Guo, A., Ma, F., Fan, J., 2019. Spatiotemporal impacts of land use land cover changes on hydrology from the mechanism perspective using SWAT model with time-varying parameters. Hydrol. Res. 50, 244-261.

[25]

Lin, B., Chen, X., Yao, H., Chen, Y., Liu, M., Gao, L., James, A., 2015. Analyses of landuse change impacts on catchment runoff using different time indicators based on SWAT model. Ecol. Indic. 58, 55-63.

[26]

Mehmood, T., Liland, K.H., Snipen, L., Sæbø S., 2012. A review of variable selection methods in partial least squares regression. Chemometr. Intell. Lab. Syst. 118, 62-69.

[27]

Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 50 (3), 885-900.

[28]

Nie, W., Yuan, Y., Kepner, W., Nash, M.S., Jackson, M., Erickson, C., 2011. Assessing impacts of landuse and landcover changes on hydrology for the upper San Pedro watershed. J. Hydrol. 407, 105-114.

[29]

Qiu, L., Wu, Y., Wang, L., Lei, X., Liao, W., Hui, Y., Meng, X., 2017. Spatiotemporal response of the water cycle to land use conversions in a typical hilly-gully basin on the Loess Plateau, China. Hydrol. Earth Syst. Sci. 21, 6485-6499.

[30]

Saddique, N., Mahmood, T., Bernhofer, C., 2020. Quantifying the impacts of land use/land cover change on the water balance in the afforested River Basin, Pakistan. Environ. Earth Sci. 79, 448.

[31]

Schilling, K., Gassman, P., Kling, C., Campbell, T., Jha, M., Wolter, C., Arnold, J., 2014. The potential for agricultural land use change to reduce flood risk in a large watershed. Hydrol. Process. 28.

[32]

Schilling, K.E., Jha, M.K., Zhang, Y.-K., Gassman, P.W., Wolter, C.F., 2008. Impact of land use and land cover change on the water balance of a large agricultural watershed: Historical effects and future directions. Water Resour. Res. 44, W00A09.

[33]

Schuol, J., Abbaspour, K.C., Yang, H., Srinivasan, R., Zehnder, A.J.B., 2008. Modeling blue and green water availability in Africa. Water Resour. Res. 44, W07406.

[34]

Shanafield, M., Gutiérrez-Jurado, H., Rodríguez-Burgueño, J.E., Ramírez-Hernández, J., Jarchow, C.J., Nagler, P.L., 2017. Short- and long-term evapotranspiration rates at ecological restoration sites along a large river receiving rare flow events. Hydrol. Process. 31, 4328-4337.

[35]

Shawul, A.A., Chakma, S., Melesse, A.M., 2019. The response of water balance components to land cover change based on hydrologic modeling and partial least squares regression (PLSR) analysis in the Upper Awash Basin. J. Hydrol. Reg. Stud. 26, 100640.

[36]

Shi, P., Chen, C., Srinivasan, R., Zhang, X., Cai, T., Fang, X., Qu, S., Chen, X., Li, Q., 2011. Evaluating the SWAT model for hydrological modeling in the Xixian Watershed and a comparison with the XAJ Model. Water Resour. Manage. 25, 2595-2612.

[37]

Shi, Z.H., Ai, L., Li, X., Huang, X.D., Wu, G.L., Liao, W., 2013. Partial least-squares regression for linking land-cover patterns to soil erosion and sediment yield in watersheds. J. Hydrol. 498, 165-176.

[38]

Srivastava, A., Kumari, N., Maza, M., 2020. Hydrological response to agricultural land use heterogeneity using variable infiltration capacity model. Water Resour. Manage. 34, 3779-3794.

[39]

Tang, L., Yang, D., Hu, H., Gao, B., 2011. Detecting the effect of land-use change on streamflow, sediment and nutrient losses by distributed hydrological simulation. J. Hydrol. 409, 172-182.

[40]

Tang, T., Ran, S.H., Tan, M.H., 2013. Urbanization and its impact on the evapotranspiration in Beijing-Tianjin-Tangshan Area. J. Geo-inf. Sci. 15, 233-240 (in Chinese).

[41]

Thavhana, M.P., Savage, M.J., Moeletsi, M.E., 2018. SWAT model uncertainty analysis, calibration and validation for runoff simulation in the Luvuvhu River catchment, South Africa. Phys. Chem. Earth 105, 115-124.

[42]

Tian, F., Y.H., Fu, B.J., Zhang, L., Zang, C.F., Yang, Y.H., Qiu, G.Y., 2017. Challenge of vegetation greening on water resources sustainability: Insights from a modeling-based analysis in Northwest China. Hydrol. Process. 31, 1469-1478.

[43]

Wagner, P.D., Kumar, S., Schneider, K., 2013. An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India. Hydrol. Earth Syst. Sci. 17, 2233-2246.

[44]

Wang, H., Sun, F., Xia, J., Liu, W., 2017. Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China. Hydrol. Earth Syst. Sci. 21, 1929-1945.

[45]

Wang, J., 2010. Analysis and study on the driving force of runoff change-taking Zulihe River Basin as an example. China Water Resour. 12, 10-12 (in Chinese).

[46]

Wang, X., Chu, B., Feng, X., Li, Y., Fu, B., Liu, S., Jin, J., 2021. Spatiotemporal variation and driving factors of water yield services on the Qingzang Plateau. Geogr. Sustain. 2, 31-39.

[47]

Wang, Y., Zheng, W., Xie, H., Liu, Q., Wei, J., 2020. Study on runoff simulation of the source region of the Yellow River and the inland arid source region based on the variable infiltration capacity model. Sustainability 12, 7041.

[48]

Wilk, J., Hughes, D.A., 2002. Simulating the impacts of land-use and climate change on water resource availability for a large south Indian catchment. Hydrol. Sci. J. 47, 19-30.

[49]

Wu, J., Miao, C., Zheng, H., Duan, Q., Lei, X., Li, H., 2018. Meteorological and hydrological drought on the Loess Plateau, China: Evolutionary characteristics, impact, and propagation. J. Geophys. Res. Atmos. 123 (20), 11569-11584.

[50]

Yan, B., Fang, N.F., Zhang, P.C., Shi, Z.H., 2013. Impacts of land use change on watershed streamflow and sediment yield: An assessment using hydrologic modelling and partial least squares regression. J. Hydrol. 484, 26-37.

[51]

Yang, D., Yang, Y., Xia, J., 2021. Hydrological cycle and water resources in a changing world: A review. Geogr. Sustain. 2, 115-122.

[52]

Yao, Z., Wang, B., Huang, J., Zhang, Y., Yang, J., Deng, R., Yang, Q., 2021. Analysis of land use changes and driving forces in the Yanhe River Basin from 1980 to 2015. J. Sens. 1-11.

[53]

Yuan, Z., Xu, J., Wang, Y., 2019. Historical and future changes of blue water and green water resources in the Yangtze River source region, China. Theor. Appl. Climatol. 138, 1035-1047.

[54]

Zang, C., 2017. Spatial and temporal variability of blue/green water flows in typical meteorological years in an inland river basin in China. J. Water Clim. Change 8, 165-176.

[55]

Zhang, F., Zhao, C.Y., Deng, J.L., Chen, J., Zhang, B.L., Hu, Y.T., 2018. Change characteristics of the precipitation, runoff and sediment discharge in Zulihe River Basin. Arid Land Geogr. 41 (1), 74-82 (in Chinese).

[56]

Zhang, L., Nan, Z., Yu, W., Ge, Y., 2016. Hydrological responses to land-use change scenarios under constant and changed climatic conditions. Environ. Manage. 57, 412-431.

[57]

Zhang, W., Zha, X., Li, J., Liang, W., Ma, Y., Fan, D., Li, S., 2014. Spatiotemporal change of blue water and green water resources in the headwater of Yellow River Basin, China. Water Resour. Manage. 28, 4715-4732.

[58]

Zhang, Y., Tang, C., Ye, A., Zheng, T., Nie, X., Tu, A., Zhu, H., Zhang, S., 2020. Impacts of climate and land-use change on blue and green Water: A case study of the upper Ganjiang River Basin, China. Water 12, 2661.

[59]

Zhao, A., Zhu, X., Liu, X., Pan, Y., Zuo, D., 2016. Impacts of land use change and climate variability on green and blue water resources in the Weihe River Basin of northwest China. Catena 137, 318-327.

[60]

Zheng, Q., Hao, L., Huang, X., Sun, L., Sun, G., 2020. Effects of urbanization on watershed evapotranspiration and its components in Southern China. Water 12, 645.

[61]

Zhu, P., Zhang, G., Wang, H., Zhang, B., Wang, X., 2020. Land surface roughness affected by vegetation restoration age and types on the Loess Plateau of China. Geoderma 366, 114240.

[62]

Zucco, G., Brocca, L., Moramarco, T., Morbidelli, R., 2014. Influence of land use on soil moisture spatial-temporal variability and monitoring. J. Hydrol. 516, 193-199.

PDF

156

Accesses

0

Citation

Detail

Sections
Recommended

/