{"title":"A MATLAB program for identifying the rainfall variability in rainfall-runoff modeling in Semi arid region (Merguellil basin: Central Tunisia)","authors":"S. Chargui, Hana Gharbi, M. Slimani","doi":"10.1109/ICMSAO.2013.6552629","DOIUrl":null,"url":null,"abstract":"A general research subject in rainfall runoff modeling is assessment of space time variability in event time series. A MATLAB program is developed for taking account of the space and time distribution. We focus on central Tunisia (Merguellil and Skhira basin), where rainfall is known by its high variability for over a decade. We introduce a variability matrix on a geomorphologybased transfer function. Robustness of the developed program is checked for some real events from the Skhira basin data. Its potential is especially interesting in datasparse regions where the geomorphologybased approach can be applied in a vigorous and adjustable way, and where the accounting of rainfall space and time variability is much supple.","PeriodicalId":339666,"journal":{"name":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSAO.2013.6552629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A general research subject in rainfall runoff modeling is assessment of space time variability in event time series. A MATLAB program is developed for taking account of the space and time distribution. We focus on central Tunisia (Merguellil and Skhira basin), where rainfall is known by its high variability for over a decade. We introduce a variability matrix on a geomorphologybased transfer function. Robustness of the developed program is checked for some real events from the Skhira basin data. Its potential is especially interesting in datasparse regions where the geomorphologybased approach can be applied in a vigorous and adjustable way, and where the accounting of rainfall space and time variability is much supple.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
