...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pure and Applied Geophysics >Satellite-Based Investigation and Evaluation of the Observational Environment of Meteorological Stations in Anhui Province, China
【24h】

Satellite-Based Investigation and Evaluation of the Observational Environment of Meteorological Stations in Anhui Province, China

机译：基于卫星的安徽省气象台观测环境调查与评价

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, by using multi-temporal and high resolution Landsat data and geographic information system techniques, the land use/land cover (LULC) in the 2-km buffer zone of 52 meteorological stations in the Anhui province of China is retrieved and categorized into three types: vegetation (including farmland, forest and grass land), water (including lakes, rivers and pools), and construction (including buildings and roads). Besides, the land surface temperature (LST) in the buffer zone of these stations is also obtained from thermal infrared data. The normalized LST index (NLI) and the heat effect contribution index (HECI) of different LULC types are calculated. Via case studies and statistical analysis, the LULC and thermal environment's temporal-spatial variance in the 2-km buffer zone of these stations are surveyed, and their impacts on the observational environment are investigated. The study shows that the observational environments of the meteorological stations in Anhui province have been greatly influenced by rapid urbanization. The study proposes two new methods to classify the stations' observational environment into three types (urban, sub-urban, and rural). One uses the NLI and the other uses the HECI. The NLI method needs only LST information. The HECI method combines both LULC and LST information and, hence, is considered more reliable. The evaluation methods and criteria can be used conveniently, effectively, and quantitatively, and are especially useful when analyzing observational data from meteorological stations in weather and climate research and when choosing a location for a new meteorological station.
机译：本文利用多时相高分辨率Landsat数据和地理信息系统技术，对安徽省52个气象站2 km缓冲区的土地利用/土地覆被（LULC）进行了检索和分类。分为三种类型：植被（包括农田，森林和草地），水（包括湖泊，河流和游泳池）和建筑（包括建筑物和道路）。此外，这些站的缓冲区中的地表温度（LST）也是从热红外数据获得的。计算了不同LULC类型的归一化LST指数（NLI）和热效应贡献指数（HECI）。通过案例研究和统计分析，调查了这些站点2 km缓冲区中的LULC和热环境的时空变化，并研究了它们对观测环境的影响。研究表明，安徽省气象台站的观测环境受到快速城市化的极大影响。该研究提出了两种新方法，将气象站的观测环境分为三种类型（城市，郊区和农村）。一种使用NLI，另一种使用HECI。 NLI方法仅需要LST信息。 HECI方法结合了LULC和LST信息，因此被认为更可靠。评估方法和标准可以方便，有效和定量地使用，在分析天气和气候研究中气象站的观测数据以及选择新气象站的位置时特别有用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号