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Relationships between landscape pattern and land surface temperature and their applications to the study of West Nile Virus: As case studies in cities of Indianapolis and Chicago, United States.

机译:景观格局与地表温度之间的关系及其在西尼罗河病毒研究中的应用:以美国印第安纳波利斯和芝加哥为例。

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摘要

A new synthesis of remote sensing and landscape ecology approaches was developed to establish relationships between the landscape patterns and land surface temperatures (LST) in the city of Indianapolis, Indiana, United States. Land use and land cover (LULC) and LST images were derived from Terra Satellite's Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery. An analytical procedure using landscape metrics was developed, applying configuration analysis of landscape patterns and land surface temperature zones. Detailed landscape pattern analyses at the landscape and class scales were conducted using landscape metrics in the City of Indianapolis. The effects of spatial resolution on the identification of the relationship were examined in the same city. The best level of equalization between the LULC and LST maps was determined based on minimum distance analysis in landscape metrics space. The analyses of relationships between the landscape patterns and land surface temperatures, and scaling effects were applied to the spread of West Nile Virus (WNV) in the City of Chicago, Illinois.;Results show that urban, forest, and grassland were the main landscape components in Indianapolis. They possessed relatively higher fractal dimensions but lower spatial aggregation levels in April 5, 2004, June 16, 2001, and October 3, 2000, but not in February 6, 2006. Obvious seasonal differences existed with the most distinct landscape pattern detected on February 6, 2006. Urban was the dominant LULC type in high-temperature zones, while water and vegetation mainly fell in low-temperature zones. For each individual date, the metrics of LST zones apparently corresponded to the metrics of LULC types. In the study of scaling-up effect analysis, Patch Percentage, Patch Density, and Landscape Shape index were found to be able to effectively quantify the spatial changes of LULC types and temperature zones at different scales without contradiction. Urban, forest, and grassland in each season were more easily affected by the process in Patch Density and Landscape Shape index. Ninety meters was believed to be the optimal spatial resolution to examine relationships between landscape patterns and LSTs in the City of Indianapolis. In the study of the spread of West Nile Virus in the City of Chicago, WNV was found to have been spread throughout all of Cook County since 2001. Landscape factors, like landscape aggregation index and areas of urban, grass, and water showed a strong correlation with the number of WNV infections. Socioeconomic conditions, like population above 65 years old also showed a strong relationship with the spread of WNV in Cook County. Thermal conditions of water had a lower but still significant correlation to the spread of WNV.;This research offers an opportunity to explore the mechanism of interaction between urban landscape patterns and land surface temperatures at different spatial scales, and show the effects of landscape pattern and land surface temperature on the spread of West Nile Virus. This study can be useful for urban planning and environmental management practices in the studied areas. It also contributes to public health management and protection.
机译:在美国印第安纳州印第安纳波利斯市,开发了遥感与景观生态学方法的新综合方法,以建立景观格局与地表温度(LST)之间的关系。土地利用和土地覆盖(LULC)图像和LST图像来自Terra Satellite的高级星载热发射和反射辐射计(ASTER)图像。开发了使用景观度量的分析程序,并应用了景观格局和陆地表面温度区域的配置分析。使用印第安纳波利斯市的景观指标对景观和班级规模进行了详细的景观格局分析。在同一城市中,研究了空间分辨率对关系识别的影响。基于景观度量空间中的最小距离分析,确定了LULC和LST地图之间的最佳均衡水平。分析了景观格局与地表温度之间的关系以及缩放效应,将其应用于伊利诺伊州芝加哥市的西尼罗河病毒(WNV)的传播;结果表明,城市,森林和草地是主要景观印第安纳波利斯的组件。它们具有相对较高的分形维数,但在2004年4月5日,2001年6月16日和2000年10月3日,但在2006年2月6日却没有较低的空间聚集水平。存在明显的季节差异,最明显的景观格局是2月6日发现,2006年。城市是高温地区的主要LULC类型,而水和植被主要分布在低温地区。对于每个单独的日期,LST区域的度量标准显然对应于LULC类型的度量标准。在扩大效应分析的研究中,发现斑块百分比,斑块密度和景观形状指数能够有效地量化LULC类型和温度区域在不同尺度上的空间变化而无矛盾。每个季节的城市,森林和草地更容易受到斑块密度和景观形状指数过程的影响。人们认为90米是检查印第安纳波利斯市景观格局与LST之间关系的最佳空间分辨率。在研究西尼罗河病毒在芝加哥市的传播过程中,发现自2001年以来WNV已在整个库克县传播。景观因子,例如景观聚集指数和城市,草木和水域显示出很强的与WNV感染的数量相关。社会经济状况,例如65岁以上的人口,也与西尼西非病毒在库克县的传播密切相关。水的热条件与西尼罗河病毒的传播具有较低但仍显着的相关性。这项研究为探索城市景观格局与地表温度在不同空间尺度之间相互作用的机理提供了机会,并展示了景观格局和水温的影响。地表温度对西尼罗河病毒的传播。这项研究对于所研究地区的城市规划和环境管理实践可能是有用的。它还有助于公共卫生的管理和保护。

著录项

  • 作者

    Liu, Hua.;

  • 作者单位

    Indiana State University.;

  • 授予单位 Indiana State University.;
  • 学科 Geography.;Health Sciences Epidemiology.;Remote Sensing.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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