Changes in Runoff and Sediment Load and Potential Causes in the Malian River Basin on the Loess Plateau

• Main Authors: Min Du, Xingmin Mu, Guangju Zhao, Peng Gao, Wenyi Sun
• Format: Article
• Language: English
• Published: MDPI AG 2021-01-01
• Series: Sustainability
• Subjects: runoff; sediment load; spatial-temporal variation; Malian River basin; Loess Plateau
• Online Access: https://www.mdpi.com/2071-1050/13/2/443

The loessial tableland is a unique landform type on the Loess Plateau in China. Long-term soil erosion has led to the retreat of gullies and the rapid reduction of fertile arable land, which has further decreased agricultural production. In this study, we chose the Malian River basin to analyze the temporal and spatial variation of its runoff and sediment load, as well as the potential causes. The annual runoff and sediment load at six hydrological stations in the study area were collected for the period between 1960 and 2016. The Mann−Kendall and Pettitt tests were respectively applied to detect temporal variations and abrupt changes in the runoff and sediment loads. The results showed that an abrupt change in the runoff and sediment loads occurred in 2003. The average annual runoff in the Malian River was 4.42 × 10⁸ m³ yr⁻¹ from 1960 to 2002, and decreased to 3.32 × 10⁸ m³ yr⁻¹ in 2003–2016. The average annual sediment load was 1.27 × 10⁸ t yr⁻¹ in 1960–2002, and decreased to 0.65 × 10⁸ t yr⁻¹ in 2003–2016. The spatial patterns in the sediment load suggested that the Hongde sub-basin contributed a higher sediment count to the Malian River, which may require additional attention for soil and water conservation in the future. Anthropogenic activities significantly affected runoff and sediment load reduction according to the double-mass curve method, accounting for 90.7% and 78.7%, respectively, whereas rainfall changes were 9.3% and 21.3%, respectively. As such, the present study analyzed the loessial tableland runoff and sediment load characteristics of the Malian River basin for soil and water erosion management.