主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2016, Vol. 32 ›› Issue (6): 116-121.doi: 10.3969/j.issn.1673-503X.2016.06.015

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Study on meteorological disaster risk division in Jinnan District of Tianjin based on RS and GIS

LIANG Dong-po1, SUN Zhi-gui1, GUO Jun2, GUO Yu-di1, WANG Jing3, XU Jun-de1   

  1. 1. Meteorological Service in Jinnan District of Tianjin, Tianjin 300350, China;
    2. Tianjin Climate Center, Tianjin 300074, China;
    3. Tianjin Lightning Protection Center, Tianjin 300074, China
  • Received:2015-09-28 Revised:2015-12-23 Online:2016-12-31 Published:2016-12-31

Abstract: Based on the data of Landsat 8 in July 2014,the risk division of meteorological disasters in Jinnan District of Tianjin was carried out using RS (Remote Sensing) and GIS (Geographic Information System) technologies.The results show that the high precision land classification in Jinnan District of Tianjin based on RS technology provides important basic data for evaluating the meteorological disasters.The meteorological data and geographical environment as well as historical disaster information from 2004 to 2014 in Jinnan District of Tianjin are integrated using GIS technology.A two-rank evaluation index system is established using hierarchy analysis,risk index,integrated weighting,and other analysis methods.At the same time,a risk evaluation model is established to assess the different kinds of meteorological disasters in Jinnan District,in which four items,i.e.,the causing disaster factor,inducing disaster environment,carrying bodies' vulnerability and disaster prevention measurement are selected as the first-rank indexes.Furthermore,the division map of meteorological disaster comprehensive risk in Jinnan District of Tianjin is drawn as well.The high risk zones mainly concentrate at the regions with high population density and industrial concentration or low disaster prevention ability,such as urban and the large agricultural planting areas.In contrast,the regions with low population density and economic density are not sensitive to all kinds of meteorological disasters,and they belong to the low risk zones.

Key words: Remote Sensing (RS), Land use, GIS technology, Meteorological disaster, Risk division

CLC Number: