4.6 Article

Analysis of Natural Streamflow Variation and Its Influential Factors on the Yellow River from 1957 to 2010

期刊

WATER
卷 10, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/w10091155

关键词

intra-annual climate change; variation in percentage of flood-season precipitation; natural streamflow variation; contribution and sensitivity analysis; Yellow River

资金

  1. National Key R&D Program of China [2016YFC0402402]
  2. China Postdoctoral Science Foundation [2017M610458]
  3. Young Elite Scientists Sponsorship by CAST [2017QNRC023]
  4. Foundation of development on science and technology by YRIHR [HKF201709]
  5. National Natural Science Foundation of China [41701509, 51509102, 51779099]

向作者/读者索取更多资源

In this study, variation characteristics of hydrometeorological factors were explored based on observed time-series data between 1957 and 2010 in four subregions of the Yellow River Basin. For each region, precipitation-streamflow models at annual and flood-season scales were developed to quantify the impact of annual precipitation, temperature, percentage of flood-season precipitation, and anthropogenic interference. The sensitivities of annual streamflow to these three climatic factors were then calculated using a modified elasticity coefficient model. The results presented the following: (1) Annual streamflow exhibited a negative trend in all regions; (2) The reduction of annual streamflow was mainly caused by a precipitation decrease and temperature increase for all regions before 2000, whereas the contribution of anthropogenic interference increased significantlymore than 45%, except for Tang-Tou region after 2000. The percentage of flood-season precipitation variation can also be responsible for annual streamflow reduction with a range of 7.36% (Tang-Tou) to 21.88% (Source); (3) Annual streamflow was more sensitive to annual precipitation than temperature in the humid region, and the opposite situation was observed in the arid region. The sensitivities to intra-annual climate variation increased after 2000 for all regions, and the increase was more significant in Tou-Long and Long-Hua regions.

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