• 关键词：城乡梯度  景观变量  逐步线性回归  缓冲区分析  风险管理

• 基金项目：国家自然科学基金项目(No.41101172)

• 方淑波
• 1. 教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306;2. 复旦大学环境科学与工程系, 上海 200433

• 崔曲
• 教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306

• 庞慧焕
• 教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306

• 田壮
• 教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306

• 印春生
• 教育部水产种质资源开发利用实验室, 上海海洋大学, 上海 201306

• 杨晓英
• 复旦大学环境科学与工程系, 上海 200433

• 摘要：提出了两种上海市城乡梯度上土壤重金属空间格局及影响因素的研究方法:缓冲区分析方法和滑动窗口分析方法.缓冲区分析的结果表明,人口变化指数及2~3 km范围内的建设用地比例能显著影响Cd和Cu的空间分布(p < 0.05),而3 km范围内的道路密度显著影响Pb的浓度.滑动窗口分析的结果表明,Cd和Cu主要受工业活动的影响,而Pb受交通流量,以及反映城市景观扩张过程的景观形状指数的影响.相关分析表明,两种方式揭示了较为相似的土壤重金属空间累积影响因素,即工业活动相关的城市化过程.研究对理解城市化的发生机制及其重金属环境风险的管理有重要意义.

• Abstract：Two approaches of scaled circular buffer analysis and moving window analysis were presented to explain the heavy metal (HM) spatial patterns and the associated affecting factors along the urban-rural gradient in Shanghai. The scaled circular buffer analysis results showed that the population change index and the percentages of built-up areas of the 2 and 3 km buffers affected Cd and Cu distributions significantly (p < 0.05), while the road density of the 3 km buffer significantly affected the Pb contents. The moving window analysis results showed that industrial activity was the main source for Cd and Cu while Pb was affected by both traffic volume and landscape metrics characterizing various urbanization processes. The correlation analysis indicated that the two approaches had revealed similar influencing factors of the spatial accumulation of the HM-the urbanization processes related to industrial activities. This study is helpful to understanding the urbanization mechanism and managing the associated potential soil HM hazards.

• Key words：urbanization gradient  landscape variables  linear stepwise regression  buffering analysis  risk management

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