Development and Application of Similarity Analysis of Rainstorms and Floods Extension Model at the Basin Scale
|Course||Hydrology and Water Resources|
|Keywords||Storm and Flood similarity The Weather Extension Evaluation Model Extension neural network Songhua River Basin|
New ways to reveal the degree of similarity between the current the rainstorm flood and the history of Rainstorms flood for flood control , and effective use of the occurrence of similar storm flood history , development and evolution of information , is to improve the real - time flood forecasting and flood control scheduling system . Currently, the similarity analysis of watershed screenings storm flood in China 's major river basins were not be effectively carried out , the Songhua River Basin in the northeast region for regional research background , the establishment of watershed screenings storm flood similarity analysis of the extension model , a large watershed screenings rainstorm flood similarity analysis of the effective attempt . First , from the cause of the weather , heavy rains and flooding occurrence and development of three levels of study summarizes the major river basins of Rainstorms flood similarity analysis index system . After the the Extenics basic theory , introduced extenics method to solve the difficult multi - angle , multi-level subjective identification of Rainstorms flood similar issues . Proposed by the size of the total precipitation in the relatively similar period to find the degree of similarity between the Rainstorms this cumulative average precipitation and heavy rains during the period covered by the number of rainfall stations as the characteristic indicators to measure the total precipitation of the small area close to the extent , subsequently considered by the judge rainstorms in the relative magnitude of the eventual realization of Rainstorms similarity analysis from the whole basin rainstorms in the similarity analysis Extension Evaluation model . Watershed master control station to the period average flow and average water level in the similarity analysis of the flood event as a characteristic index build extension evaluation model . At the same time , the introduction of a novel extension neural network based on characteristic indexes Extension Evaluation model proposed to establish Rainstorms flood similarity analysis of extension neural network model . Finally, two similar analysis on extension model is applied to the Songhua River Basin , were analyzed and compared the results and methods of model application . The application results show that the two extension model can achieve similar analysis of the major river basins of Rainstorms flood model approach to other river basins of the country has a reference . The comparison shows that the Extension Evaluation model specific value to reflect the degree of similarity between the various sessions , extension neural network model can be more quickly each screening classification .