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Separation of the Impact of Landuse/Landcover Change and Climate Change on Runoff in the Upstream Area of the Yangtze River, China

Author

Listed:
  • Naveed Ahmed

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Genxu Wang

    (Chinese Academy of Sciences)

  • Martijn J. Booij

    (University of Twente)

  • Sun Xiangyang

    (Chinese Academy of Sciences)

  • Fiaz Hussain

    (National Central University
    PMAS-Arid Agriculture University)

  • Ghulam Nabi

    (University of Engineering and Technology)

Abstract

Landuse/landcover change (LULCC) and climate change (CC) impacts on streamflow in high elevated catchments are very important for sustainable management of water resources and ecological developments. In this research, a statistical technique was used in combination with the Soil and Water Assessment Tool (SWAT) to the Upstream Area of the Yangtze River (UAYR). Different performance criteria (e.g., R2, NSE, and PBIAS) were used to evaluate the acceptability of the model simulation results. The model provided satisfactory results for monthly simulations in the calibration (R2; 0.80, NSE; 0.78 and PBIAS; 22.3%) and the validation period (R2; 0.89, NSE; 0.75 and PBIAS; 19.1%). Major landuse/landcover transformations from 1990 to 2005 have occurred from low grassland to medium grassland (2%) and wetlands (0.9%), bare land to medium grassland (0.2%), glaciers to wetland (16.8%), and high grassland to medium grassland (5.8%). The results show that there is an increase in average annual runoff at the Zhimenda station in UAYR by 15 mm of, which approximately 98% is caused by climate change and only 2% by landuse/landcover change. The changes evapotranspiration are larger due to climate change as compared to landuse/landcover change, particularly from August to October. Precipitation and temperature have increased during these months. On the contrary, there has been a decrease in evapotranspiration and runoff from October to March which depicts the intra-annual variations in the vegetation in the study area.

Suggested Citation

  • Naveed Ahmed & Genxu Wang & Martijn J. Booij & Sun Xiangyang & Fiaz Hussain & Ghulam Nabi, 2022. "Separation of the Impact of Landuse/Landcover Change and Climate Change on Runoff in the Upstream Area of the Yangtze River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 181-201, January.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:1:d:10.1007_s11269-021-03021-z
    DOI: 10.1007/s11269-021-03021-z
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    References listed on IDEAS

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    Cited by:

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    2. Pedram Pishgah Hadiyan & Ramtin Moeini & Eghbal Ehsanzadeh & Monire Karvanpour, 2022. "Trend Analysis of Water Inflow Into the Dam Reservoirs Under Future Conditions Predicted By Dynamic NAR and NARX Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2703-2723, June.
    3. Muhammad Umer Masood & Saif Haider & Muhammad Rashid & Mohammed Suleman Aldlemy & Chaitanya B. Pande & Bojan Đurin & Raad Z. Homod & Fahad Alshehri & Ismail Elkhrachy, 2023. "Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area," Sustainability, MDPI, vol. 15(21), pages 1-28, October.
    4. Ruiqiu Pang & Ning Hu & Jingrui Zhou & Dongqi Sun & Hongying Ye, 2022. "Study on Eco-Environmental Effects of Land-Use Transitions and Their Influencing Factors in the Central and Southern Liaoning Urban Agglomeration: A Production–Living–Ecological Perspective," Land, MDPI, vol. 11(6), pages 1-22, June.
    5. Jin Hyuck Kim & Jang Hyun Sung & Shamsuddin Shahid & Eun-Sung Chung, 2022. "Future Hydrological Drought Analysis Considering Agricultural Water Withdrawal Under SSP Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 2913-2930, July.
    6. Siqi Zhang & Xuefeng Sang & Pan Liu & Ziheng Li & Sheng He & Jiaxuan Chang, 2024. "A New Land Use Dataset Fusion Algorithm for the Runoff Simulation Accuracy Improvement: A Case Study of the Yangtze River Basin, China," Sustainability, MDPI, vol. 16(2), pages 1-22, January.

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