灾害保险赔案数据库的建立及应用

1*______100875410000198119932337611011.1WINDOSFOXPROW2.6()()19811993()13233761231.2GISMAPINFO3.0MIS________________________*49671001222.1123412342.21981-1993355131165018.363.3%238967.326.4%2848.04.5%2286.45.8%3551100100185.614.489.7%10.3%2.3=/=/5656560.2%50%19902.4422(%)(%)234.13%81522.95%62.33%41.76%2.5331222006011471015001021595(%)18.7730.779.2317.5410.920.002.310.000.001.540.310.1591.54(%)55.5815.928.137.882.360.004.620.000.000.260.010.0294.7826443056576503234240068802361(%)11.0518.0023.653.1821.050.9617.750.000.002.850.330.0098.82(%)22.5127.8533.450.534.510.527.790.000.002.220.180.0099.46118420801000043239(%)0.3565.020.710.002.830.000.350.000.000.000.0015.1984.45(%)0.6764.490.640.001.520.000.120.000.000.000.0015.3782.8110113400251257000227(%)4.370.4458.520.000.009.610.440.8724.890.000.000.0098.27(%)10.724.0161.200.000.006.260.0514.862.610.000.000.0099.71521218.88%30.77%55.58%71.24%84.49%323.65%33.45%21.05%4.51%29.38%50.54%465.02%64.49%15.19%15.37%558.52%61.20%2.6454515-710-121-226-7378V66678(%)6412101130592116062022212099635793105104215342963205214803802230451924047390510517623045101353684004108190229962839423334109807706551773170265737060121116444866823124101303333172904844445019066021741012357736002216204162111201142441290320522112151061671613030062185%10.020.062.260.000.190.280.070.000.020.010.000.013.9120.000.053.360.030.190.111.890.000.010.030.000.205.8630.070.471.480.640.160.010.250.000.010.020.000.023.1340.377.210.542.080.870.000.830.000.020.130.010.0112.0750.365.251.200.120.150.000.230.000.020.380.000.027.73636.231.630.541.160.150.000.700.000.010.060.000.0340.5172.783.300.490.520.090.000.220.830.010.030.0040.138.4180.311.350.620.310.120.000.060.000.0040.020.040.062.8790.000.370.730.050.130.000.100.000.010.060.000.011.39101.600.541.240.040.160.000.220.030.020.0030.000.033.87110.010.272.820.010.150.0030.150.000.010.0030.000.053.48120.010.072.280.170.400.120.280.000.020.000.000.133.4831723119952199331986-199019914199419721019919TheConstructionandApplicationoftheDisasterInsuranceCaseDatabaseZhouWuguangShiPeijun(theInstituteofResourceScienceofBeijingNormalUniversityandTheOpenResearchLab.ofEnvironmentalChangeandNaturalDisastersoftheStateEducationCommission,Beijing,100875)BaiKuishengNieWengdongChengZihua(ThePeople’sInsuranceCompanyofChina,HunanProvince)AbstractBasedonthedisastercasedatabaseofthePeople’sInsuranceCompanyofHunanProvince,weanalysestheregularityofthelossratiounderdifferentdisasterconditionsinXupucountyofHunanprovince,theconclusionareasfollows:It’sveryimportanttoconstructthedisasterdatabaseofinsurancereparationcase,differentkindsofinsurancelossunderdifferentdisasterconditionsareverydifferentinXupucounty,mostdisasterswerehappenedinsummerandwinter,especiallyinJune,thenumberandlossoftheprecipitationhazardarebothserious,therefore,theinsurancecompanyshouldconsidertheseimpactsintheirdisasterreductionstrategy.