The Spatial and Temporal Variations Characteristic of Erosive Rainfall in the Yellow River Basin during 1961-2010

2014 ◽  
Vol 955-959 ◽  
pp. 3269-3273
Author(s):  
Xin Ling Cai ◽  
Qian Li ◽  
Lin Hu ◽  
Xiao Meng Zhao
Keyword(s):  
River Basin ◽  
Extreme Precipitation ◽  
Yellow River ◽  
Yellow River Basin ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Annual Precipitation ◽  
The Yellow River ◽  
The Yellow River Basin ◽  
Erosive Rainfall

Based on the daily rainfall data of 145 meteorological stations in the Yellow River basin, the spatial and temporal variations characteristic of erosive rainfall was analyzed by using statistical methods. The results show that the trend of the erosion precipitation, extreme precipitation and annual precipitation is significantly reduced. The erosion precipitation, extreme precipitation and annual precipitation are decrease from southeast to northwest. The long-term trends of different intensities rainfall is non-uniformity in space nearly 50 years. The erosion precipitation and annual precipitation are increasing in most areas of the upper reaches of the Yellow River basin, and are decreasing in the others areas, especially decreasing significantly in the water and soil loss of serious erosion in the Loess Plateau.

scholarly journals Changes in Different Classes of Precipitation and the Impacts on Sediment Yield in the Hekouzhen-Longmen Region of the Yellow River Basin, China

2018 ◽  
Vol 2018 ◽  
pp. 1-15
Author(s):  
Suzhen Dang ◽  
Xiaoyan Liu ◽  
Xiaoyu Li ◽  
Manfei Yao ◽  
Dan Zhang
Keyword(s):  
River Basin ◽  
Sediment Yield ◽  
Hydrological Modeling ◽  
Yellow River ◽  
Yellow River Basin ◽  
Temporal Variations ◽  
Annual Precipitation ◽  
The Yellow River ◽  
The Yellow River Basin ◽  
Yield Decrease

The sediment yield of the Yellow River Basin has obviously decreased since the 1980s, and the impacts of precipitation on sediment yield changes have become increasingly important with the global climate change. The spatial and temporal variations in annual precipitation and different classes of precipitation in the Hekouzhen-Longmen region (HLR) in the middle reaches of the Yellow River Basin were investigated using data collected from 301 rainfall stations from 1966 to 2016. The impacts of precipitation variation on sediment yield were evaluated, and the hydrological modeling method was used to quantitatively assess the attribution of precipitation and other factors to sediment yield changes in the HLR. The results show that the annual precipitation and P10 increased from the northwest to the southeast of the HLR, suggesting it was drier in the northwest region of the HLR. P25 and P50 were mainly concentrated in the northwestern and southwestern parts of the HLR, reflecting that heavy rain was more likely to occur in these regions of the HLR. All of the annual precipitation and different classes of precipitation had no significant changing trends from 1966 to 2016, and the relationship between rainfall and sediment yield obviously changed in 2006. Compared with the average annual mean values from 1966 to 2016, both the annual precipitation and the different classes of precipitation were higher in the HLR during 2007–2016. The sediment yield decrease during 1990–1999 was mainly influenced by precipitation, while other factors were the main driving factor for the sediment yield decrease in the periods of 1980–1989, 2000–2009, and 2010–2016, and other factors have become the dominant driving factors of the sediment yield change in the HLR since 2000.

scholarly journals Trends in observed mean and extreme precipitation within the Yellow River Basin, China

2018 ◽  
Vol 136 (3-4) ◽  
pp. 1387-1396 ◽  
Author(s):  
Yang Zhao ◽  
Xiangde Xu ◽  
Wubin Huang ◽  
Yuhong Wang ◽  
Yanling Xu ◽  
...  
Keyword(s):  
River Basin ◽  
Extreme Precipitation ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Yellow River Basin

The spatio-temporal variations of vegetation cover in the Yellow River Basin from 2000 to 2010

2013 ◽  
Vol 33 (24) ◽  
Author(s):  
袁丽华 YUAN Lihua ◽  
蒋卫国 JIANG Weiguo ◽  
申文明 SHEN Wenming ◽  
刘颖慧 LIU Yinghui ◽  
王文杰 WANG Wenjie ◽  
...  
Keyword(s):  
River Basin ◽  
Vegetation Cover ◽  
Yellow River ◽  
Yellow River Basin ◽  
Temporal Variations ◽  
The Yellow River ◽  
Spatio Temporal ◽  
The Yellow River Basin

scholarly journals Prediction of Sediment Yield in the Middle Reaches of the Yellow River Basin Under Extreme Precipitation

2020 ◽  
Vol 8 ◽  
Author(s):  
Suzhen Dang ◽  
Xiaoyan Liu ◽  
Huijuan Yin ◽  
Xinwei Guo
Keyword(s):  
River Basin ◽  
Loess Plateau ◽  
Sediment Yield ◽  
Extreme Precipitation ◽  
Land Surface ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
The Loess Plateau ◽  
The Yellow River Basin

The Yellow River is one of the rivers with the largest amount of sediment in the world. The amount of incoming sediment has an important impact on water resources management, sediment regulation schemes, and the construction of water conservancy projects. The Loess Plateau is the main source of sediment in the Yellow River Basin. Floods caused by extreme precipitation are the primary driving forces of soil erosion in the Loess Plateau. In this study, we constructed the extreme precipitation scenarios based on historical extreme precipitation records in the main sediment-yielding area in the middle reaches of the Yellow River. The amount of sediment yield under current land surface conditions was estimated according to the relationship between extreme precipitation and sediment yield observations in the historical period. The results showed that the extreme rainfall scenario of the study area reaches to 159.9 mm, corresponding to a recurrence period of 460 years. The corresponding annual sediment yield under the current land surface condition was range from 0.821 billion tons to 1.899 billion tons, and the median annual sediment yield is 1.355 billion tons, of which more than 91.9% of sediment yields come from the Hekouzhen to Longmen sectionand the Jinghe River basin. Therefore, even though the vegetation of the Loess Plateau has been greatly improved, and a large number of terraces and check dams have been built, the flood control and key project operation of the Yellow River still need to be prepared to deal with the large amount of sediment transport.

Spatio-temporal evolutions of precipitation in the Yellow River basin of China from 1981 to 2013

2016 ◽  
Vol 16 (5) ◽  
pp. 1441-1450 ◽  
Author(s):  
Lei Wu ◽  
Xia Liu ◽  
Xiaoyi Ma
Keyword(s):  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Smoothing Splines ◽  
Annual Precipitation ◽  
The Yellow River ◽  
Monthly Precipitation ◽  
Spatiotemporal Trends ◽  
Average Precipitation ◽  
The Yellow River Basin

The partial thin plate smoothing splines method was applied to evaluate spatiotemporal trends of precipitation in the Yellow River basin from 1981 to 2013 by considering the basin's digital elevation model. Results indicate the following. (1) The spline method can greatly improve the spatial interpolation accuracy of meteorological data and can be applied to spatial modeling of meteorological elements for large regions with complex terrain. (2) Overall, annual precipitation in the Yellow River basin shows a decreasing trend from east to west, with the isohyet equipluve distribution of 400 mm being basically consistent with the dividing line between semi-humid and semi-arid regions in China. Sichuan has the highest annual average precipitation while Neimeng has the lowest; Shandong and Henan both have relatively significant changes of annual precipitation while Gansu and Qinghai have small changes. (3) The average monthly precipitation of the basin from 1981 to 2013 presents an overall increasing trend from north to south; the annual precipitation in each province was mainly concentrated in 7–9 months of the whole year. The highest monthly average precipitation in most provinces occurred in July, while the highest at Ningxia occurred in August. Results may provide a scientific basis for understanding future precipitation changes and improving our ability to cope with climate change.

Sign in / Sign up

Export Citation Format

Share Document