• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Asian conference on remote sensing;ACRS >ANALYSIS OF SPATIAL AND TEMPORAL CHARACTERISTICS OF DROUGHT AND FLOOD BASED ON PRECIPITATION TEMPERATURE INDEX AT WINTER WHEAT GROWTH STAGES
【24h】

ANALYSIS OF SPATIAL AND TEMPORAL CHARACTERISTICS OF DROUGHT AND FLOOD BASED ON PRECIPITATION TEMPERATURE INDEX AT WINTER WHEAT GROWTH STAGES

机译：基于冬小麦生长期降水温度指数的旱涝时空特征分析

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Drought and flood disasters are the main meteorological disasters in China. Based on vegetation index (VI) and land surface temperature (LST) retrieved by optical remote sensing data for drought and flood disaster monitoring has a lag in time, precipitation data can reflect the surface dry and wet state more timely and intuitively. Current methods to monitoring drought and flood disasters based on precipitation extreme rely primarily on point-based in situ meteorological stations. Tropical Rainfall Measurement Mission (TRMM) microwave remote sensing offers the possibility of quantifying drought and flood conditions over large spatial extents. This research use Precipitation Temperature Index (PTI) retrieved by TRMM precipitation data and LST to explore the spatial and temporal characteristics of flood and drought in Jiangsu Province. PTI is not only related to precipitation changes in a region, but also gives emphasis on LST changes, aiming at integrated monitoring of both drought and flood disasters. We got the 10days-to-10days changes and spatial distributions of PTI from 2000 to 2014 at winter wheat growth stages. Analysis this results we conclude that: The probability of drought and flood disasters happened in Jiangsu Province is 34.08% among 15 years, and the drought (16.74%) close to the flood (17.34%). Jiangsu Province is easily influenced by drought and flood disasters in every season of the year, and drought and flood disasters happened alternately ; Jiangsu Province happened many times extreme drought or flood disasters from 2000 to 2014, such as the 2003 flood year, 2005 autumn drought and 2011 spring drought et al. In addition, central of Jiangsu is easily affected by drought and flood disasters. At the same time, this research shows that the PTI can be used to monitoring the flood and drought disasters in large spatial extents effectively.
机译：干旱和洪水灾害是中国的主要气象灾害。通过光学遥感数据获取的植被指数（VI）和地表温度（LST）进行干旱和洪水灾害监测存在时间滞后，降水数据可以更及时，直观地反映出地面的干燥和湿润状态。基于极端降水的监测干旱和洪水灾害的当前方法主要依赖于基于点的原位气象站。热带降雨测量任务（TRMM）微波遥感提供了在较大空间范围内量化干旱和洪水状况的可能性。本研究利用TRMM降水资料和LST反演的降水温度指数（PTI）来探讨江苏省旱涝的时空特征。 PTI不仅与一个地区的降水变化有关，而且还着重于LST的变化，旨在对干旱和洪水灾害进行综合监测。在冬小麦生育期，我们得到了2000年至2014年PTI的10天到10天的变化和空间分布。通过分析得出以下结论：江苏省15年内发生旱涝灾害的概率为34.08％，而干旱（16.74％）接近洪灾（17.34％）。江苏省一年四季都容易受到旱涝灾害的影响，旱涝灾害交替发生。从2000年到2014年，江苏省发生过多次极端干旱或洪灾，例如2003年洪灾年，2005年秋季干旱和2011年春季干旱等。此外，苏中地区容易受到旱灾和洪灾的影响。同时，这项研究表明，PTI可以有效地在大范围内监测洪水和干旱灾害。

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