The Characteristics and Driving Factors of Soil Salinisation in the Irrigated Area on the Southern Bank of the Yellow River in Inner Mongolia: A Assessment of the Donghaixin Irrigation District

作者：Ziyuan Qin, Tangzhe Nie, Ying Wang, Hexiang Zheng, Changfu Tong, Jun Wang, R Q Wang, Hongfei Hou · 发表于：Agriculture · 年份：2025 · DOI：10.3390/agriculture15050566 · 被引用次数：7 · 研究领域：Soil erosion and sediment transport、Environmental and Agricultural Sciences、Forest, Soil, and Plant Ecology in China

Soil salinisation is a critical problem in northern China’s arid and semi-arid irrigated regions, posing a substantial impediment to the sustainable advancement of agriculture in these areas. This research utilises the Donghaixin Irrigation District, located on the southern bank of the Yellow River in Inner Mongolia, as a case study. This study examines the spatial distribution and determinants of soil salinisation through macro-environmental variables and micro-ion composition, integrating regression models and groundwater ion characteristics to elucidate the patterns and causes of soil salinisation systematically. The findings demonstrate that soil salinisation in the study region displays notable spatial clustering, with surface water-irrigated regions exhibiting greater salinisation levels than groundwater-irrigated areas. More than 80% of the land exhibits moderate salinity, predominantly characterised by the ions Cl−, HCO3−, and SO42−. The hierarchy of ion concentration variation with escalating soil salinity is as follows: Na+ > K+ > SO42− > Cl− > Mg2+ > HCO3− + CO32− > Ca2+. The susceptibility of ions to soil salinisation is ordered as follows: Ca2+ > Na+ > HCO3− + CO32− > Mg2+ > K+ > Cl− > SO42−. In contrast to the ordinary least squares (OLS) model, the geographic weighted regression (GWR) model more effectively elucidates the geographical variability of salinity, evidenced by an adjusted R2 of 0.68, particularly in high-salinity ...