茶园土壤重金属乡镇尺度下空间异质性分析——以江浙优质名茶种植园为例

发布时间：2018-04-23 04:40

本文选题：茶园 + 土壤重金属　；参考：《地理研究》2017年02期

【摘要】：随着经济社会的快速发展,茶园土壤重金属污染问题日趋严重,不仅影响茶叶的生长和品质,也威胁着人类的健康。以江浙两省优质名茶种植园为例,利用地统计学方法对茶园土壤重金属含量、相关关系及空间异质性等特征进行分析。结果表明:①东山镇土壤Zn超标率最高,达到67.50%;其次是溪龙乡土壤Se,达到50.00%;其他土壤重金属的超标率均比较低。②酸性条件及丰富的有机质有利于土壤Se的贮存,且土壤Se与土壤Cd、As极易共存,但不易与土壤Cu、Zn共存。③土壤重金属含量空间分布受结构性因素和随机性因素共同作用的影响,溪龙乡土壤Cd块金系数为0.890,受随机性因素影响最大;而溪龙乡土壤As块金系数为0.049,受随机性影响因素最小。④各重金属空间分布特征不同,为改善茶园土壤环境,提高茶叶品质,应结合重金属空间分布规律对其进行有效监管并提出有针对性的治理措施。
[Abstract]:With the rapid development of economy and society, the pollution of heavy metals in tea garden soil is becoming more and more serious, which not only affects the growth and quality of tea, but also threatens the health of human beings. Taking the tea plantations of Jiangsu and Zhejiang provinces as an example, the characteristics of heavy metal content, correlation and spatial heterogeneity in tea plantation soil were analyzed by geostatistical method. The results showed that the excess rate of soil Zn in Dongshan Town was the highest (67.50%), followed by soil Se5 (50.005%) in Xilong Township, and the excess rate of heavy metals in other soils was lower than that in other soils under the condition of low acidity and abundant organic matter, which was beneficial to the storage of se in soil. Soil se and CD ~ (2 +) as are easy to coexist, but it is not easy to coexist with soil Cu ~ (2 +) Zn. 3 the spatial distribution of heavy metal content in soil is affected by structural factors and random factors. The gold coefficient of CD block in Xilongxiang soil was 0.890, which was most affected by random factors, while that of as block gold in Xilongxiang soil was 0.049. The spatial distribution of heavy metals in Xilongxiang soil was the least affected by random factors. 4. In order to improve the soil environment of tea garden, the distribution of heavy metals in Xilongxiang soil was different. In order to improve the quality of tea, it is necessary to effectively supervise and control heavy metals in combination with the spatial distribution of heavy metals.
【作者单位】：南京师范大学新型城镇化与土地问题研究中心;南京师范大学地理科学学院;江苏省地理信息资源开发与利用协同创新中心;江苏省物质循环与污染控制重点实验室;
【基金】：国家自然科学基金项目(41271189,41671174) 江苏高校优势学科建设工程资助项目(164320H101)
【分类号】：S571.1;S153

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