Journal
WATER
Volume 10, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/w10091155
Keywords
intra-annual climate change; variation in percentage of flood-season precipitation; natural streamflow variation; contribution and sensitivity analysis; Yellow River
Categories
Funding
- National Key R&D Program of China [2016YFC0402402]
- China Postdoctoral Science Foundation [2017M610458]
- Young Elite Scientists Sponsorship by CAST [2017QNRC023]
- Foundation of development on science and technology by YRIHR [HKF201709]
- National Natural Science Foundation of China [41701509, 51509102, 51779099]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available