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Attribution Analysis of Climate and Anthropic Factors on Runoff and Vegetation Changes in the Source Area of the Yangtze River from 1982 to 2016

Author

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  • Guangxing Ji

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Huiyun Song

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Hejie Wei

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China)

  • Leying Wu

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization jointly built by Henan Province and Ministry of Education, Henan University, Kaifeng 475001, China)

Abstract

Analyzing the temporal variation of runoff and vegetation and quantifying the impact of anthropic factors and climate change on vegetation and runoff variation in the source area of the Yangtze River (SAYR), is of great significance for the scientific response to the ecological protection of the region. Therefore, the Budyko hypothesis method and multiple linear regression method were used to quantitatively calculate the contribution rates of climate change and anthropic factors to runoff and vegetation change in the SAYR. It was found that: (1) The runoff, NDVI, precipitation, and potential evaporation in the SAYR from 1982 to 2016 all showed an increasing trend. (2) The mutation year of runoff data from 1982 to 2016 in the SAYR is 2004, and the mutation year of NDVI data from 1982 to 2016 in the SAYR is 1998. (3) The contribution rates of precipitation, potential evaporation and anthropic factors to runoff change of the SAYR are 75.98%, −9.35%, and 33.37%, respectively. (4) The contribution rates of climatic factors and anthropic factors to vegetation change of the SAYR are 38.56% and 61.44%, respectively.

Suggested Citation

  • Guangxing Ji & Huiyun Song & Hejie Wei & Leying Wu, 2021. "Attribution Analysis of Climate and Anthropic Factors on Runoff and Vegetation Changes in the Source Area of the Yangtze River from 1982 to 2016," Land, MDPI, vol. 10(6), pages 1-13, June.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:612-:d:570774
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    References listed on IDEAS

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    1. Hui Wang & Guangxing Ji & Jisheng Xia, 2019. "Analysis of Regional Differences in Energy-Related PM 2.5 Emissions in China: Influencing Factors and Mitigation Countermeasures," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    2. Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
    3. Guangxing Ji & Leying Wu & Liangdong Wang & Dan Yan & Zhizhu Lai, 2021. "Attribution Analysis of Seasonal Runoff in the Source Region of the Yellow River Using Seasonal Budyko Hypothesis," Land, MDPI, vol. 10(5), pages 1-14, May.
    4. Haibin Xia & Hui Wang & Guangxing Ji, 2019. "Regional Inequality and Influencing Factors of Primary PM Emissions in the Yangtze River Delta, China," Sustainability, MDPI, vol. 11(8), pages 1-14, April.
    5. Domenico Caracciolo & D. Pumo & F. Viola, 2018. "Budyko’s Based Method for Annual Runoff Characterization across Different Climatic Areas: an Application to United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3189-3202, July.
    6. Guangxing Ji & Zhizhu Lai & Haibin Xia & Hao Liu & Zheng Wang, 2021. "Future Runoff Variation and Flood Disaster Prediction of the Yellow River Basin Based on CA-Markov and SWAT," Land, MDPI, vol. 10(4), pages 1-19, April.
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    Cited by:

    1. Bo Yao & Lei Ma & Hongtao Si & Shaohua Li & Xiangwen Gong & Xuyang Wang, 2023. "Spatial Pattern of Changing Vegetation Dynamics and Its Driving Factors across the Yangtze River Basin in Chongqing: A Geodetector-Based Study," Land, MDPI, vol. 12(2), pages 1-21, January.
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    5. Yi Cheng & Hui Liu & Dongmei Chen & Haimeng Liu, 2022. "Human Activity Intensity and Its Spatial-Temporal Evolution in China’s Border Areas," Land, MDPI, vol. 11(7), pages 1-19, July.

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