Distribution and driving factors of thallium in cultivated soil based on NNET and GIS
This study systematically collected surface soil samples from farmlands in Hunan Province and employed a combination of multivariate statistics,GIS,and neural networks to investigate the spatial distribution patterns of soil T1 content and its main driving factors.The results indicate that the soil T1 content ranged from 0.01 to 7.33mg/kg,with an arithmetic mean of(0.91±0.40)mg/kg,which exceeded the background value of soil T1 content in Hunan Province(0.61mg/kg).The cumulative characteristics of soil T1 contents were evident despite its significantly lower than the national reference value(1.0mg/kg).The spatial distribution of soil T1 contents exhibited distinct characteristics at the watershed level,showing a trend of"east high,west low,south high,north low".High-value clusters of soil T1 content primarily presented in the southern part of the Xiangjiang River basin and the Wushui basin.The arithmetic mean soil T1 content in Wushui basin was up to 1.10mg/kg,indicating a potential pollution risk.Hydraulic forces,industrial activities,and other natural factors were important variables driving the accumulation and distribution of T1 content in the cultivated soils in Hunan Province.T1 accumulation in the farmland soils was significant in high-altitude areas and the areas with a dense network of water bodies.The T1 content in yellow-brown soil was significantly higher than in other soil types.
万方数据
维普
