摘要
“湘莲+”产业是湖南省湘潭县重点支持的农业特色优势产业,是实现重金属污染耕地种植结构调整的重要途径。为因地制宜发展“湘莲+”产业,采用普通Kriging法对基于地累积指数的土壤重金属镉(Cd)的污染风险进行空间插值,结合“湘莲+”产业发展需求,开展多级适宜区划分。结果表明,采用多尺度套合模型优化变异函数的普通Kriging法能有效提高土壤重金属污染风险的插值精度;种植适宜区可划分为三级,一级和二级是“湘莲+”产业发展的首选区域,一级区占总面积95.41%,宜侧重农旅融合,二级区占4.28%,宜发展“种养加”结合,污染风险较高且与最近主干道距离相对较远的三级区仅占0.31%,宜优化产业结构。本研究可为“湘莲+”产业定量区划提供有力方法和数据支撑。
“Xianglian +”industry is a characteristic and advantageous agricultural industry supported by Xiangtan County, Hunan Province,China. It is an important way to adjust the planting structure of cultivated land polluted by heavy metals. In order to develop the“Xianglian+”industry according to local conditions, the multi-level suitable areas had been divided by adopting Kriging method to interpolate spatially the pollution risk of soil heavy metal cadmium(Cd) based on land accumulation index in combination with the development needs of“Xianglian +”industry. The results showed that the Ordinary Kriging method which used multi-scale nested model to optimize the variogram could effectively improve the interpolation accuracy of soil heavy metal pollution risk. The suitable planting areas could be divided into three levels. The first and second levels were the preferred areas for the development of“Xianglian +”industry. The first level area accounted for 95.41% of the total area, which was suitable for the integration of agriculture and tourism, and the second level area, in which was suitable for the combination of planting, breeding and processing, accounted for 4.28%. The third level area, which existed high pollution risk and was relatively far away from the nearest trunk road, accounted for only 0.31%, and this area was suitable for optimizing the industrial structure. The study could provide a powerful method and data support for the quantitative zoning of“Xianglian +”industry.
作者
曹姗姗
韩昀
安民
孔繁涛
孙伟
CAO Shan-shan;HAN Yun;AN Min;KONG Fan-tao;SUN Wei(Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,China;Institute of Agricultural Resources and Regional Planning of Chinese Academy of Agricultural Sciences,Beijing 100081,China;Institute of Special Animal and Plant Sciences of Chinese Academy of Agricultural Sciences,Changchun 130112,China)
出处
《特产研究》
2022年第5期33-37,42,共6页
Special Wild Economic Animal and Plant Research
基金
国家自然科学基金项目(41807005,31860180)。
关键词
土壤重金属
空间插值
变异函数
种植区划
heavy metals in soil
spatial interpolation
variogram
planting suitability regionalization
