针对稀疏采样难以准确估测区域土壤重金属综合污染情况和迁移变化规律的问题,提出基于GIS的多属性决策组合赋权灰色综合评价模型。首先采用GIS技术揭示土壤重金属空间变异和污染分布格局;然后利用最大化熵理论集成主客观因素,架构优化组合赋权的土壤重金属污染灰色综合评价体系;最后以试验区土壤中8种(铜、锌、铅、镉、砷、铬、汞、镍)重金属的综合污染情况为例,检验该方法应用效果。结果表明:最优组合权重的灰色综合分析方法兼顾主观偏好和客观属性,其评价结果具有更高的可信度和风险辨识度,提高了综合评价的合理性与有效性,可为土壤重金属污染监测提供方案参考。
Space sampling cannot accurately estimate the comprehensive pollution of heavy metals in the soil and the variation of migration laws, this paper puts forward grey comprehensive evaluation model based on GIS and combination empowerment in multiple attribute decision making. Firstly, using the GIS technology analysis method reveal the soil polluted by heavy metal spatial variation and distribution pattern; the maximum entropy theory which integrates subjective and objective factors is introduced to construct the optimization performance of grey comprehensive evaluation system of heavy metal pollution in soil, finally using experimental comprehensive pollution status of heavy metals as the case which contains eight kind of heavy metals(Cu, Zn, Pb, Cd, As. Cr, Hg, Ni) in the soil , to inspect application effect of this method. The results show that the gray comprehensive analysis method using the optimal combination takes subjective preference and objective attributes into consideration, the evaluation results with higher reliability and risk identification, this method improves the rationality and effectiveness of comprehensive evaluation which can provide basis for monitoring soil heavy metal pollution.