School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, 200093, China.
College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China.
Environ Monit Assess. 2020 Jan 2;192(2):79. doi: 10.1007/s10661-019-8023-x.
This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with single-index evaluation systems (i.e., the IFI or soil cleanliness index), the proposed multi-criteria system better reflects the quality of the soil. In the practice of arable land requisition and subsidy policy, the proposed multi-criteria evaluation system not only encourages farmers to preserve arable lands during farming but also helps agricultural authorities make effective and reliable management decisions.
本研究提出了一种结合土壤综合肥力指数(IFI)和土壤清洁指数(基于重金属和类金属含量)的耕地资源多准则评价体系。该评价体系基于 104 个来自 16 个乡镇的土壤样本,对中国崇明区的 16 个典型耕地单元进行了评价。16 个乡镇耕地的综合土壤评价得分在 90.7 到 99.2 之间,平均值为 96.2,表明所有 16 个乡镇的耕地都处于优秀水平(≥90.0)。较低的清洁度指数对最终评价得分有显著影响。与单指标评价体系(即 IFI 或土壤清洁度指数)相比,所提出的多准则系统更好地反映了土壤质量。在耕地征补政策实践中,所提出的多准则评价体系不仅鼓励农民在耕种期间保护耕地,还有助于农业主管部门做出有效和可靠的管理决策。