摘要
通过分析土壤锶含量分布特征表明,湖北随州北部深层土壤锶元素含量为59.43~728.1μg/g,平均值252.74μg/g,是中国土壤(C)层的1.49倍,是十堰—丹江地区平均值的2.04倍。表层土壤锶元素含量为38.5~981μg/g,平均值为263.40μg/g,是中国土壤(A)层的1.60倍,是十堰—丹江地区平均值的2.07倍。区内表、深层富锶土壤成因类型为火山岩型,成土母质主要为中生代中酸性岩风化物,黄棕壤性土是主要的储锶土壤类型。酸碱度与土壤锶含量呈显著负相关。表、深层土壤锶与Ba、Na2O、Be、Ga、La、K2O等关系较为密切。通过富锶土壤资源潜力评价:圈出富锶土壤面积2824km^2,占调查区面积的55.59%,其中适宜开发区面积2740km^2,区内具有较好的富锶优质土地资源开发潜力,可为富锶优质土地资源的开发和农产品种植结构的调整提供科学依据。
The distribution characteristics of soil strontium content showed that the content of strontium in deep soils in northern Suizhou,Hubei Province was 59.43~728.1 μg/g,with an average value of 252.74 μg/g,which was 1.49 times of the soil (C) layer in China and 2.04 times of the average in Shiyan-Danjiang area.The content of strontium in surface soil is 38.5~981 μg/g with an average value of 263.40 μg/g,which was 1.60 times of that in Chinese soil (A) layer and 2.07 times of that in Shiyan-Danjiang area.The genetic types of surface and deep Sr-rich soils in this area were volcanic rocks.The parent material of soil formation was mainly Mesozoic medium-acid rock weathering,and the yellow-brown loam soil was the main type of Sr-rich soil.Soil strontium content was negatively correlated with acidity and alkalinity.Surface and deep soil strontium was closely related to Ba,Na 2O,Be,Ga,La and K 2O.According to the potential evaluation of Sr-rich soil resources,2 824 km^2 of Sr-rich soil area was circled,accounting for 55.59% of the survey area.Among them,2 740 km^2 of Sr-rich soil area was suitable for the development zone,which had good potential for the development of Sr-rich high-quality land resources.It can provide scientific basis for the development of Sr-rich high-quality land resources and the adjustment of agricultural product planting structure.
作者
胡江龙
胡绍祥
杨清富
万能
尹猛
Hu Jianglong;Hu Shaoxiang;Yang Fuqing;Wang Neng;Yin Meng(Hubei Geological Survey,Wuhan,Hubei 430034)
出处
《资源环境与工程》
2019年第3期341-346,367,共7页
Resources Environment & Engineering
基金
湖北随州北部土地质量地球化学调查,项目编号DD20160327-05
关键词
富锶土壤
地球化学特征
资源潜力
评价
strontium-rich soil
geochemical characteristics
resource potential
evaluation
