| 南京市九乡河流域景观格局空间分异对河流水质的影响 |
| 摘要点击 3244 全文点击 1746 修订日期：2011-07-19 |
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| 中文关键词 景观格局 河流水质 空间分异 相关 九乡河流域 |
| 英文关键词 landscape pattern river water quality spatial difference correlation Jiuxiang River watershed |
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| 中文摘要 |
| 定量探讨不同景观格局与水质关系对于指导城市景观规划、保护周边水环境具有重要意义.以南京市九乡河流域为研究区域,基于2009年的Quick Bird影像和2009年10月~2010 年9月的水质实时监测数据,利用GIS空间分析技术以及统计分析的方法,从景观水平和类型水平2个方面分析了流域景观格局空间分异对河流总氮(TN)、总磷(TP)、高锰酸盐指数和氨氮(NH4+-N)的影响.结果表明,流域的大部分景观类型与河流TN、TP、高锰酸盐指数和NH4+-N浓度存在显著的相关关系:建设用地和未利用地的面积比例与TN、TP、高锰酸盐指数和NH4+-N浓度显著正相关,林地的面积比例与这些指标呈显著负相关,而耕地的面积比例与TN、TP、高锰酸盐指数和NH4+-N浓度相关性不显著; 从景观水平上看,流域景观以少数类型大斑块为主或同一类型的斑块高度连接时,河流中TN、TP、高锰酸盐指数和NH4+-N浓度较低,水质较好; 但针对具体的景观类型有所不同,建设用地、未利用地以及耕地的集中连片分布会引起TN、TP、高锰酸盐指数和NH4+-N浓度的上升,而林地的大面积分布则对这些指标具有相反的效应. |
| 英文摘要 |
| Exploring the quantitative relationship between landscape characteristics and surface water quality indicators can provide important information to urban landscape planning and water environment protection. Jiuxiang River watershed in Nanjing city, being as a typical case study area, its landscape classification maps was conducted in 2009 by remote sensing digital images interpretation. Based on the remote sensing images and real-time monitoring data from October 2009 to September 2010, geospatial analysis and statistical analysis were integrated to explore the relationship between landscape composition, landscape pattern(landscape-level and class-level) and river water quality at the subwatershed scale. Results showed that most of landscape compositions influenced river water quality. Percentage of built-up land and unused land was positively related to total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH4+-N) and permanganate index, while percentage of forestland showed a negative relationship. At the landscape level,the water quality was good when the size of patch was big. But at class-level,the aggregated distribution of the built-up land,unused land and arable land might cause TN, TP, permanganate index and NH4+-N concentration increased. But the aggregated distribution of the forestland had the opposite effect on water quality indicators. |
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