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作 者:刘倩[1] 刘永杰[1,2] 余辉[1] 杨超 牛勇[1,4] 牛远[1]
机构地区:[1]中国环境科学研究院,北京100012 [2]南京白云化工环境监测有限公司,南京210047 [3]中国环境保护部环境与经济政策研究中心,北京100029 [4]河海大学,南京210098
出 处:《环境工程》2016年第8期11-17,共7页Environmental Engineering
基 金:国家水体污染控制与治理重大专项(2012ZX07101-001)
摘 要:以太湖流域为例,基于GIS空间技术分析了不同缓冲半径下土地利用类型的特征,运用Pearson相关分析及典型相关分析对6种不同土地利用类型与10种水质指标进行相关性研究。结果表明:建设用地和耕地为流域内主要土地利用类型;近岸范围内(1 km以内)建设用地为主要污染输出源,与水体水质指标呈明显的正相关,而耕地与水质指标具有较为明显的负相关性,说明耕地对污染物质具有吸附过滤作用;远岸范围内(1 km以外)耕地与TP呈显著正相关,而与DO呈显著负相关,说明耕地造成了面源污染;水域分布与NO-3-N、TP呈负相关性,而与CODMn呈正相关说明其兼具污染物质的稀释净化与汇集输送作用;林地和草地与CODMn呈明显的负相关性,说明其对污染物具有截留吸收作用。Based on the GIS space technology,this paper analyzed the characteristics of land use patterns under different buffer radius in Taihu Lake Basin. Pearson correlation analysis and canonical correlation analysis were used to explore the relationships between land use types and water quality indexes. The results showed that the construction land and the cultivated land were the main land use types in the basin. Construction land within the scope of 1 km offshore,which positively correlated with water quality indicators,was the main source of pollution. There was negative correlation between the cultivated land and water quality index,indicating that the cultivated land had an adsorption and filtration to pollutants. Cultivated land more than 1 km away from shore had significant positive correlation with TP,but negatively correlated with DO,indicating that a large area of farmland resulted in non-point source pollution. The percentage of water area was negatively related with NO-3-N and TP,while it showed a positive correlation with CODMn,demonstrating that water area not only diluted and purified pollutants but also had a collection and transportation effect. Significant negative correlation was observed between woodland,grassland and CODMn,illustrating that they played important roles in intercepting and absorbing pollutants.
关 键 词:太湖流域 土地利用类型 水质指标 Pearson分析 典型相关分析
分 类 号:X52[环境科学与工程—环境工程]
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