Journal
WATER
Volume 13, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/w13121664
Keywords
precipitation; temporal and spatial variation; climate change; interannual and interseasonal; Haihe River Basin
Categories
Funding
- National Water Pollution Control and Management Science and Technology Major Project of China [2014ZX07203-008]
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The study found a significant increase in temperature in the Haihe River Basin, particularly more pronounced in spring. Precipitation showed a decreasing trend at an interannual scale, with a mixed pattern of increasing and decreasing trends in different seasons. Moreover, there was a weak negative correlation between temperature and precipitation across the basin at both interannual and interseasonal scales.
The impact of global climate change on the temporal and spatial variations of precipitation is significant. In this study, daily temperature and precipitation data from 258 meteorological stations in the Haihe River Basin, for the period 1960-2020, were used to determine the trend and significance of temperature and precipitation changes at interannual and interseasonal scales. The Mann-Kendall test and Spearman's correlation analysis were employed, and significant change trends and correlations were determined. At more than 90% of the selected stations, the results showed a significant increase in temperature, at both interannual and interseasonal scales, and the increasing trend was more significant in spring than in other seasons. Precipitation predominantly showed a decreasing trend at an interannual scale; however, the change trend was not significant. In terms of the interseasonal scale, the precipitation changes in spring and autumn showed an overall increasing trend, those in summer showed a 1:1 distribution ratio of increasing and decreasing trends, and those in winter showed an overall decreasing trend. Furthermore, the Spearman's correlation analysis showed a negative correlation between temperature and precipitation in the entire Haihe River Basin, at both interannual and interseasonal scales; however, most of the correlations were weak.
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